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ORCIDTerrence J. Sejnowski
Terry J. Sejnowski – Terry Sejnowski
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- affiliation: University of California, San Diego, USA
- award (1984): Presidential Young Investigator Award
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2020 – today
- 2026
[i29]Jean-Marc Fellous, Gert Cauwenberghs, Cornelia Fermüller, Yulia Sandamisrkaya, Terrence J. Sejnowski:
NeuroAI and Beyond. CoRR abs/2601.19955 (2026)- 2025
- [j139]Bard Ermentrout, Terrence J. Sejnowski, Peter J. Thomas, Hugh R. Wilson:
Obituary for Professor Jack D. Cowan. Biol. Cybern. 119(4-6): 27 (2025) - [j138]Yorie Nakahira, Quanying Liu, Xiyu Deng
, Terrence J. Sejnowski, John Doyle:
Diversity Deconstrains Component Limitations in Sensorimotor Control. Neural Comput. 37(10): 1783-1806 (2025) - [i28]Barbara Oakley, Michael Johnston, Ken-Zen Chen, Eulho Jung, Terrence J. Sejnowski:
The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI. CoRR abs/2506.11015 (2025) - [i27]Bruno Aristimunha, Dung Truong, Pierre Guetschel, Seyed Yahya Shirazi, Isabelle Guyon, Alexandre R. Franco, Michael P. Milham, Aviv Dotan, Scott Makeig, Alexandre Gramfort, Jean-Remi King, Marie-Constance Corsi, Pedro A. Valdés-Sosa, Amitava Majumdar, Alan Evans, Terrence J. Sejnowski, Oren Shriki, Sylvain Chevallier, Arnaud Delorme:
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. CoRR abs/2506.19141 (2025) - [i26]Arjun Karuvally, Franz Nowak, Thomas A. Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann:
Bridging Expressivity and Scalability with Adaptive Unitary SSMs. CoRR abs/2507.05238 (2025) - [i25]Arjun Karuvally, Pichsinee Lertsaroj, Terrence J. Sejnowski, Hava T. Siegelmann:
Exponential Dynamic Energy Network for High Capacity Sequence Memory. CoRR abs/2510.24965 (2025) - [i24]Terrence J. Sejnowski:
Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons. CoRR abs/2512.15891 (2025) - 2024
- [j137]Barbara Oakley, Juan Manuel Aristizabal Pineda, David A. Joyner, Beth Rogowsky, Terrence J. Sejnowski:
Uncommon Sense Teaching: A 3-Course Online Specialization on the Coursera Platform to Share Advances in Effective Teaching. Int. J. Adv. Corp. Learn. 17(1): 40-60 (2024) - [j136]Mohammad Samavat, Thomas M. Bartol, Kristen M. Harris, Terrence J. Sejnowski:
Synaptic Information Storage Capacity Measured With Information Theory. Neural Comput. 36(5): 781-802 (2024) - [j135]Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann:
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures. Neural Comput. 36(12): 2734-2763 (2024) - [j134]Adam Husár, Mariam Ordyan, Guadalupe C. Garcia, Joel G. Yancey, Ali Sinan Saglam, James R. Faeder, Thomas M. Bartol, Mary B. Kennedy, Terrence J. Sejnowski:
MCell4 with BioNetGen: A Monte Carlo simulator of rule-based reaction-diffusion systems with Python interface. PLoS Comput. Biol. 20(4): 1011800 (2024) - [c83]T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling:
Traveling Waves Encode The Recent Past and Enhance Sequence Learning. ICLR 2024 - [c82]Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann:
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. ICML 2024: 23266-23290 - [i23]Lyle Muller, Patricia S. Churchland, Terrence J. Sejnowski:
Transformers and Cortical Waves: Encoders for Pulling In Context Across Time. CoRR abs/2401.14267 (2024) - [i22]Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann:
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. CoRR abs/2402.10163 (2024) - [i21]T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling:
A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems. CoRR abs/2409.13669 (2024) - 2023
- [j133]Terrence J. Sejnowski:
Large Language Models and the Reverse Turing Test. Neural Comput. 35(3): 309-342 (2023) - [j132]Ben Tsuda, Barry J. Richmond, Terrence J. Sejnowski:
Exploring strategy differences between humans and monkeys with recurrent neural networks. PLoS Comput. Biol. 19(11) (2023) - [c81]Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann:
Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. AAMAS 2023: 2830-2832 - [c80]Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann:
General Sequential Episodic Memory Model. ICML 2023: 15900-15910 - [i20]Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann:
Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. CoRR abs/2301.00723 (2023) - [i19]Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann:
Temporally Layered Architecture for Efficient Continuous Control. CoRR abs/2305.18701 (2023) - [i18]T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling:
Traveling Waves Encode the Recent Past and Enhance Sequence Learning. CoRR abs/2309.08045 (2023) - 2022
- [j131]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j130]Jonathan W. Garcia, Thomas M. Bartol, Terrence J. Sejnowski:
Multiscale modeling of presynaptic dynamics from molecular to mesoscale. PLoS Comput. Biol. 18(5) (2022) - [j129]Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski:
Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing. IEEE Trans. Affect. Comput. 13(1): 96-107 (2022) - [c79]Anish A. Sarma, Jing Shuang Lisa Li, Josefin Stenberg, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, Terrence J. Sejnowski, John C. Doyle:
Internal Feedback in Biological Control: Architectures and Examples. ACC 2022: 456-461 - [i17]Terrence J. Sejnowski:
Large Language Models and the Reverse Turing Test. CoRR abs/2207.14382 (2022) - [i16]Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao:
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022) - [i15]Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, John C. Doyle:
Why internal feedback is necessary in the perception-action loop. CoRR abs/2211.05922 (2022) - [i14]Arjun Karuvally, Terry J. Sejnowski, Hava T. Siegelmann:
Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit. CoRR abs/2212.05563 (2022) - 2021
- [j128]Terrence J. Sejnowski:
Horace Barlow: a vision scientist for the ages. Biol. Cybern. 115(1): 115-116 (2021) - [j127]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. 33(11): 2908-2950 (2021) - [j126]Yinghao Li, Robert Kim, Terrence J. Sejnowski:
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models. Neural Comput. 33(12): 3264-3287 (2021) - [j125]Tom Macpherson, Anne Churchland, Terry Sejnowski, James DiCarlo, Yukiyasu Kamitani, Hidehiko Takahashi, Takatoshi Hikida:
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research. Neural Networks 144: 603-613 (2021) - [i13]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR abs/2104.04132 (2021) - [i12]Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness:
Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics. CoRR abs/2109.05053 (2021) - [i11]Josefin Stenberg, Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, John C. Doyle:
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory. CoRR abs/2109.11752 (2021) - 2020
- [j124]Anup Das, Sydney S. Cash, Terrence J. Sejnowski:
Heterogeneity of Preictal Dynamics in Human Epileptic Seizures. IEEE Access 8: 52738-52748 (2020) - [j123]Tiger W. Lin, Yusi Chen, Qasim Bukhari, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski:
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI. Neural Comput. 32(12): 2389-2421 (2020) - [j122]Mariam Ordyan, Tom Bartol, Mary B. Kennedy, Padmini Rangamani, Terrence J. Sejnowski:
Interactions between calmodulin and neurogranin govern the dynamics of CaMKII as a leaky integrator. PLoS Comput. Biol. 16(7) (2020) - [j121]Terrence J. Sejnowski:
The unreasonable effectiveness of deep learning in artificial intelligence. Proc. Natl. Acad. Sci. USA 117(48): 30033-30038 (2020) - [c78]Jonathan Weyhenmeyer, Manuel E. Hernandez, Claudia Lainscsek, Howard Poizner, Terrence J. Sejnowski:
Multimodal classification of Parkinson's disease using delay differential analysis. BIBM 2020: 2868-2875 - [c77]Elizabeth B. Torres, Simon Schafer, Fred Gage, Terry Sejnowski:
Dynamic Interrogation of Stochastic Transcriptome Trajectories (DIST2). ITA 2020: 1 - [i10]Terrence J. Sejnowski:
The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence. CoRR abs/2002.04806 (2020)
2010 – 2019
- 2019
- [j120]Anup Das, Daniel Sexton, Claudia Lainscsek, Sydney S. Cash, Terrence J. Sejnowski:
Characterizing Brain Connectivity From Human Electrocorticography Recordings With Unobserved Inputs During Epileptic Seizures. Neural Comput. 31(7): 1271-1326 (2019) - [j119]Matthew C. Pharris, Neal M. Patel, Tyler G. VanDyk, Thomas M. Bartol, Terrence J. Sejnowski, Mary B. Kennedy, Melanie I. Stefan, Tamara Kinzer-Ursem:
A multi-state model of the CaMKII dodecamer suggests a role for calmodulin in maintenance of autophosphorylation. PLoS Comput. Biol. 15(12) (2019) - [j118]Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski:
A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications. IEEE Trans. Biomed. Eng. 66(4): 1137-1147 (2019) - [c76]Yorie Nakahira, Quanying Liu, Natalie Bernat, Terrence J. Sejnowski, John Doyle:
Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control. ACC 2019: 809-814 - [i9]Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski:
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing. CoRR abs/1905.07039 (2019) - [i8]Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness:
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions. CoRR abs/1905.12122 (2019) - [i7]Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle:
Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control. CoRR abs/1906.00905 (2019) - [i6]Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle:
Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control. CoRR abs/1909.08601 (2019) - 2018
- [j117]Gautam Reddy, Jérôme Wong-Ng, Antonio Celani, Terrence J. Sejnowski, Massimo Vergassola:
Glider soaring via reinforcement learning in the field. Nat. 562(7726): 236-239 (2018) - [j116]Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller, Terrence J. Sejnowski, Sydney S. Cash, Eric Halgren, Maxim Bazhenov:
Thalamocortical and intracortical laminar connectivity determines sleep spindle properties. PLoS Comput. Biol. 14(6) (2018) - [c75]Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski:
Multi-modal Approach for Affective Computing. EMBC 2018: 291-294 - [c74]Dongsung Huh, Terrence J. Sejnowski:
Gradient Descent for Spiking Neural Networks. NeurIPS 2018: 1440-1450 - [i5]Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski:
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. CoRR abs/1802.07852 (2018) - [i4]Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski:
Multi-modal Approach for Affective Computing. CoRR abs/1804.09452 (2018) - 2017
- [j115]David A. Peterson, Terrence J. Sejnowski:
A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm. Frontiers Comput. Neurosci. 11: 11 (2017) - [j114]Julián Hurtado-López, David F. Ramirez-Moreno, Terrence J. Sejnowski:
Decision-making neural circuits mediating social behaviors - An attractor network model. J. Comput. Neurosci. 43(2): 127-142 (2017) - [j113]Cian O'Donnell, J. Tiago Gonçalves, Nick Whiteley, Carlos Portera-Cailliau, Terrence J. Sejnowski:
The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data. Neural Comput. 29(1): 50-93 (2017) - [j112]Anup Das, Aaron L. Sampson, Claudia Lainscsek, Lyle Muller, Wutu Lin, John C. Doyle, Sydney S. Cash, Eric Halgren, Terrence J. Sejnowski:
Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings. Neural Comput. 29(3): 603-642 (2017) - [j111]Claudia Lainscsek, Lyle E. Muller, Aaron L. Sampson, Terrence J. Sejnowski:
Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data. Neural Comput. 29(7): 2004-2020 (2017) - [j110]Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski:
Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings. Neural Comput. 29(10): 2581-2632 (2017) - [j109]Claudia Lainscsek, Jonathan Weyhenmeyer, Sydney S. Cash, Terrence J. Sejnowski:
Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data. Neural Comput. 29(12) (2017) - [c73]Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski:
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. HCI (14) 2017: 399-409 - [i3]Dongsung Huh, Terrence J. Sejnowski:
Gradient Descent for Spiking Neural Networks. CoRR abs/1706.04698 (2017) - 2016
- [j108]Saeed Saremi, Terrence J. Sejnowski:
Correlated Percolation, Fractal Structures, and Scale-Invariant Distribution of Clusters in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 1016-1020 (2016) - 2015
- [j107]Jay S. Coggan, Terrence J. Sejnowski, Steven A. Prescott:
Cooperativity between remote sites of ectopic spiking allows afterdischarge to be initiated and maintained at different locations. J. Comput. Neurosci. 39(1): 17-28 (2015) - [j106]Claudia Lainscsek, Terrence J. Sejnowski:
Delay Differential Analysis of Time Series. Neural Comput. 27(3): 594-614 (2015) - [j105]Claudia Lainscsek, Manuel E. Hernandez, Howard Poizner, Terrence J. Sejnowski:
Delay Differential Analysis of Electroencephalographic Data. Neural Comput. 27(3): 615-627 (2015) - [j104]Romain Veltz, Terrence J. Sejnowski:
Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling. Neural Comput. 27(12): 2477-2509 (2015) - [i2]Saeed Saremi, Terrence J. Sejnowski:
The Wilson Machine for Image Modeling. CoRR abs/1510.07740 (2015) - 2014
- [j103]Saeed Saremi, Terrence J. Sejnowski:
On Criticality in High-Dimensional Data. Neural Comput. 26(7): 1329-1339 (2014) - [j102]John Edwards, Eric Daniel, Justin Kinney, Thomas M. Bartol, Terrence J. Sejnowski, Daniel Johnston, Kristen M. Harris, Chandrajit L. Bajaj:
VolRoverN: Enhancing Surface and Volumetric Reconstruction for Realistic Dynamical Simulation of Cellular and Subcellular Function. Neuroinformatics 12(2): 277-289 (2014) - [j101]Mark D. McDonnell, Kwabena Boahen, Auke Jan Ijspeert, Terrence J. Sejnowski:
Engineering intelligent electronic systems based on computational neuroscience [scanning the issue]. Proc. IEEE 102(5): 646-651 (2014) - [j100]Terrence J. Sejnowski, Howard Poizner, Gary Lynch, Sergei Gepshtein, Ralph J. Greenspan:
Prospective Optimization. Proc. IEEE 102(5): 799-811 (2014) - [j99]Monika P. Jadi, Terrence J. Sejnowski:
Regulating Cortical Oscillations in an Inhibition-Stabilized Network. Proc. IEEE 102(5): 830-842 (2014) - [j98]Trygve Solstad, Hosam N. Yousif, Terrence J. Sejnowski:
Place Cell Rate Remapping by CA3 Recurrent Collaterals. PLoS Comput. Biol. 10(6) (2014) - [j97]Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski:
Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning. PLoS Comput. Biol. 10(8) (2014) - [j96]Rachel A. Mak-McCully, Stephen R. Deiss, Burke Q. Rosen, Ki-Young Jung, Terrence J. Sejnowski, Hélène Bastuji, Marc Rey, Sydney S. Cash, Maxim Bazhenov, Eric Halgren:
Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling. PLoS Comput. Biol. 10(9) (2014) - [j95]Melanie I. Stefan, Thomas M. Bartol, Terrence J. Sejnowski, Mary B. Kennedy:
Multi-state Modeling of Biomolecules. PLoS Comput. Biol. 10(9) (2014) - [c72]Jonathan Weyhenmeyer, Manuel E. Hernandez, Claudia Lainscsek, Terrence J. Sejnowski, Howard Poizner:
Muscle artifacts in single trial EEG data distinguish patients with Parkinson's disease from healthy individuals. EMBC 2014: 3292-3295 - 2013
- [j94]Saeed Saremi, Terrence J. Sejnowski, Tatyana O. Sharpee:
Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches. Neural Comput. 25(4): 922-939 (2013) - [j93]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma. PLoS Comput. Biol. 9(1) (2013) - [j92]Saeed Saremi, Terrence J. Sejnowski:
Hierarchical model of natural images and the origin of scale invariance. Proc. Natl. Acad. Sci. USA 110(8): 3071-3076 (2013) - 2012
- [j91]David Fernando Ramirez-Moreno, Terrence J. Sejnowski:
A computational model for the modulation of the prepulse inhibition of the acoustic startle reflex. Biol. Cybern. 106(3): 169-176 (2012) - [j90]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Computational models of neuron-astrocyte interaction in epilepsy. Frontiers Comput. Neurosci. 6: 58 (2012) - [j89]Jesús M. Cortés, Daniele Marinazzo, Peggy Seriès, Mike W. Oram, Terrence J. Sejnowski, Mark C. W. van Rossum:
The effect of neural adaptation on population coding accuracy. J. Comput. Neurosci. 32(3): 387-402 (2012) - [j88]Hirokazu Tanaka, John W. Krakauer, Terrence J. Sejnowski:
Generalization and Multirate Models of Motor Adaptation. Neural Comput. 24(4): 939-966 (2012) - [j87]J. Vincent Toups, Jean-Marc Fellous, Peter J. Thomas, Terrence J. Sejnowski, Paul H. E. Tiesinga:
Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics. PLoS Comput. Biol. 8(10) (2012) - [c71]Jie Xing, Toby Berger, Terrence J. Sejnowski:
A Berger-Levy energy efficient neuron model with unequal synaptic weights. ISIT 2012: 2964-2968 - 2011
- [j86]Sandro Romani, Terrence J. Sejnowski, Misha Tsodyks:
Intracellular Dynamics of Virtual Place Cells. Neural Comput. 23(3): 651-655 (2011) - [j85]J. Vincent Toups, Jean-Marc Fellous, Peter J. Thomas, Terrence J. Sejnowski, Paul H. E. Tiesinga:
Finding the Event Structure of Neuronal Spike Trains. Neural Comput. 23(9): 2169-2208 (2011) - [j84]David A. Peterson, Daniel T. Lotz, Eric Halgren, Terrence J. Sejnowski, Howard Poizner:
Choice modulates the neural dynamics of prediction error processing during rewarded learning. NeuroImage 54(2): 1385-1394 (2011) - [j83]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation. Proc. Natl. Acad. Sci. USA 108(37): 15402-15407 (2011) - [j82]Theodore Yu, Terrence J. Sejnowski, Gert Cauwenberghs:
Biophysical Neural Spiking, Bursting, and Excitability Dynamics in Reconfigurable Analog VLSI. IEEE Trans. Biomed. Circuits Syst. 5(5): 420-429 (2011) - 2010
- [j81]Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski:
Representation Sharpening Can Explain Perceptual Priming. Neural Comput. 22(5): 1312-1332 (2010) - [j80]Jiucang Hao, Intae Lee, Te-Won Lee, Terrence J. Sejnowski:
Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior. Neural Comput. 22(6): 1646-1673 (2010) - [j79]Suhita Nadkarni, Thomas M. Bartol, Terrence J. Sejnowski, Herbert Levine:
Modelling Vesicular Release at Hippocampal Synapses. PLoS Comput. Biol. 6(11) (2010) - [j78]Vladislav Volman, Herbert Levine, Terrence J. Sejnowski:
Shunting Inhibition Controls the Gain Modulation Mediated by Asynchronous Neurotransmitter Release in Early Development. PLoS Comput. Biol. 6(11) (2010) - [j77]Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski:
Speech Enhancement Using Gaussian Scale Mixture Models. IEEE Trans. Speech Audio Process. 18(6): 1127-1136 (2010) - [c70]Padma Polash Paul, Howard Leung, David A. Peterson, Terrence J. Sejnowski, Howard Poizner:
Combining Temporal and Frequency based Prediction for EEG Signals. BIOSIGNALS 2010: 29-36
2000 – 2009
- 2009
- [j76]Alain Destexhe, Terrence J. Sejnowski:
The Wilson-Cowan model, 36 years later. Biol. Cybern. 101(1): 1-2 (2009) - [j75]Klaus M. Stiefel, Boris S. Gutkin, Terrence J. Sejnowski:
The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons. J. Comput. Neurosci. 26(2): 289-301 (2009) - [j74]Jiucang Hao, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee, Terrence J. Sejnowski:
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. IEEE Trans. Speech Audio Process. 17(1): 24-37 (2009) - 2008
- [j73]Bernhard Englitz, Klaus M. Stiefel, Terrence J. Sejnowski:
Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms. Neural Comput. 20(1): 44-64 (2008) - [j72]Luca A. Finelli, Seth Haney, Maxim Bazhenov, Mark Stopfer, Terrence J. Sejnowski:
Synaptic Learning Rules and Sparse Coding in a Model Sensory System. PLoS Comput. Biol. 4(4) (2008) - [j71]Steven A. Prescott, Yves De Koninck, Terrence J. Sejnowski:
Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation. PLoS Comput. Biol. 4(10) (2008) - [j70]Rex A. Kerr, Thomas M. Bartol, Boris Kaminsky, Markus Dittrich, Jen-Chien Jack Chang, Scott B. Baden, Terrence J. Sejnowski, Joel R. Stiles:
Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces. SIAM J. Sci. Comput. 30(6): 3126-3149 (2008) - 2007
- [j69]Arnaud Delorme, Terrence J. Sejnowski, Scott Makeig:
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage 34(4): 1443-1449 (2007) - [c69]Scott B. Baden, Terrence J. Sejnowski, Thomas M. Bartol, Joel R. Stiles:
Toward Petascale Simulation of Cellular Microphysiology. BIBE 2007: 628-634 - 2006
- [j68]Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig:
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. Neurocomputing 69(13-15): 1502-1512 (2006) - [j67]Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan:
Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics. Neural Comput. 18(11): 2680-2718 (2006) - [j66]Jyoti Mishra, Jean-Marc Fellous, Terrence J. Sejnowski:
Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron. Neural Networks 19(9): 1329-1346 (2006) - 2005
- [c68]Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan:
A Bayesian Framework for Tilt Perception and Confidence. NIPS 2005: 1201-1208 - 2004
- [j65]Henri Casanova, Francine Berman, Thomas M. Bartol, Erhan Gokcay, Terrence J. Sejnowski, Adam Birnbaum, Jack J. Dongarra, Michelle Miller, Mark H. Ellisman, Marcio Faerman, Graziano Obertelli, Richard Wolski, Stuart M. Pomerantz, Joel R. Stiles:
The Virtual Instrument: Support for Grid-Enabled Mcell Simulations. Int. J. High Perform. Comput. Appl. 18(1): 3-17 (2004) - [j64]Paul H. E. Tiesinga, Jean-Marc Fellous, Emilio Salinas, Jorge V. José, Terrence J. Sejnowski:
Synchronization as a mechanism for attentional gain modulation. Neurocomputing 58-60: 641-646 (2004) - [j63]Odelia Schwartz, Javier R. Movellan, Thomas Wachtler, Thomas D. Albright, Terrence J. Sejnowski:
Spike count distributions, factorizability, and contextual effects in area V1. Neurocomputing 58-60: 893-900 (2004) - [j62]Michael P. Arnold, Terrence J. Sejnowski, Dan Hammerstrom, Marwan JA. abri:
Neural systems integration. Neurocomputing 58-60: 1123-1128 (2004) - [j61]Paul H. E. Tiesinga, Terrence J. Sejnowski:
Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks. Neural Comput. 16(2): 251-275 (2004) - [c67]Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals. ICA 2004: 1009-1016 - [c66]Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig:
Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA. ICA 2004: 1103-1110 - [c65]Gregory T. Balls, Scott B. Baden, Tilman Kispersky, Thomas M. Bartol, Terrence J. Sejnowski:
A Large Scale Monte Carlo Simulator for Cellular Microphysiology. IPDPS 2004 - [c64]Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan:
Assignment of Multiplicative Mixtures in Natural Images. NIPS 2004: 1217-1224 - 2003
- [j60]Jutta Kretzberg, Terrence J. Sejnowski, Anne-Kathrin Warzecha, Martin Egelhaaf:
Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs. Neurocomputing 52-54: 313-320 (2003) - [j59]Susanne Schreiber, Jean-Marc Fellous, D. Whitmer, Paul H. E. Tiesinga, Terrence J. Sejnowski:
A new correlation-based measure of spike timing reliability. Neurocomputing 52-54: 925-931 (2003) - [j58]Peter J. Thomas, Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski:
Reliability and bifurcation in neurons driven by multiple sinusoids. Neurocomputing 52-54: 955-961 (2003) - [j57]Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski:
Dictionary Learning Algorithms for Sparse Representation. Neural Comput. 15(2): 349-396 (2003) - [j56]Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski:
Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. Neural Comput. 15(2): 397-417 (2003) - [j55]Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski:
Variational Bayesian Learning of ICA with Missing Data. Neural Comput. 15(8): 1991-2011 (2003) - [j54]Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks 16(9): 1311-1323 (2003) - [c63]Joel R. Stiles, W. C. Ford, J. M. Pattillo, Thomas E. Deerinck, Mark H. Ellisman, Thomas M. Bartol, Terrence J. Sejnowski:
Spatially Realistic Computational Physiology: Past, Present and Future. PARCO 2003: 685-694 - [i1]Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data. CoRR q-bio.QM/0310011 (2003) - 2002
- [j53]Roland E. Suri, Terrence J. Sejnowski:
Spike propagation synchronized by temporally asymmetric Hebbian learning. Biol. Cybern. 87(5-6): 440-445 (2002) - [j52]Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski:
Spike-time reliability of periodically driven integrate-and-fire neurons. Neurocomputing 44-46: 195-200 (2002) - [j51]Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard:
Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing 44-46: 453-458 (2002) - [j50]Arnaud Delorme, Scott Makeig, Michèle Fabre-Thorpe, Terrence J. Sejnowski:
From single-trial EEG to brain area dynamics. Neurocomputing 44-46: 1057-1064 (2002) - [j49]Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski:
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. J. Mach. Learn. Res. 3: 99-114 (2002) - [j48]Laurenz Wiskott, Terrence J. Sejnowski:
Slow Feature Analysis: Unsupervised Learning of Invariances. Neural Comput. 14(4): 715-770 (2002) - [j47]Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski:
Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains. Neural Comput. 14(7): 1629-1650 (2002) - [j46]Emilio Salinas, Terrence J. Sejnowski:
Integrate-and-Fire Neurons Driven by Correlated Stochastic Input. Neural Comput. 14(9): 2111-2155 (2002) - [j45]Jeng-Ren Duann, Tzyy-Ping Jung, Wen-Jui Kuo, Tzu-Chen Yeh, Scott Makeig, Jen-Chuen Hsieh, Terrence J. Sejnowski:
Single-Trial Variability in Event-Related BOLD Signals. NeuroImage 15(4): 823-835 (2002) - [j44]Michael I. Jordan, Terrence J. Sejnowski:
Graphical Models: Foundations of Neural Computation. Pattern Anal. Appl. 5(4): 401-402 (2002) - [j43]Kwokleung Chan, Te-Won Lee, Pamela A. Sample, Michael H. Goldbaum, Robert N. Weinreb, Terrence J. Sejnowski:
Comparison of machine learning and traditional classifiers in glaucoma diagnosis. IEEE Trans. Biomed. Eng. 49(9): 963-974 (2002) - [j42]Marian Stewart Bartlett, Javier R. Movellan, Terrence J. Sejnowski:
Face recognition by independent component analysis. IEEE Trans. Neural Networks 13(6): 1450-1464 (2002) - [c62]Javier R. Movellan, Thomas Wachtler, Thomas D. Albright, Terrence J. Sejnowski:
Factorial Coding of Color in Primary Visual Cortex. NIPS 2002: 205-212 - [c61]Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski:
Handling Missing Data with Variational Bayesian Learning of ICA. NIPS 2002: 881-888 - [c60]Marian Stewart Bartlett, Gwen Littlewort, Bjorn Braathen, Terrence J. Sejnowski, Javier R. Movellan:
A Prototype for Automatic Recognition of Spontaneous Facial Actions. NIPS 2002: 1271-1278 - 2001
- [j41]Olivier J. M. D. Coenen, Michael P. Arnold, Terrence J. Sejnowski, Marwan A. Jabri:
Parallel Fiber Coding in the Cerebellum for Life-Long Learning. Auton. Robots 11(3): 291-297 (2001) - [j40]Kevin M. Franks, Thomas M. Bartol, Terrence J. Sejnowski:
An MCell model of calcium dynamics and frequency-dependence of calmodulin activation in dendritic spines. Neurocomputing 38-40: 9-16 (2001) - [j39]Arthur R. Houweling, Rashmi H. Modi, Paul Ganter, Jean-Marc Fellous, Terrence J. Sejnowski:
Models of frequency preferences of prefrontal cortical neurons. Neurocomputing 38-40: 231-238 (2001) - [j38]Paul H. E. Tiesinga, Jean-Marc Fellous, Jorge V. José, Terrence J. Sejnowski:
Optimal information transfer in synchronized neocortical neurons. Neurocomputing 38-40: 397-402 (2001) - [j37]Jean-Marc Fellous, Paul H. E. Tiesinga, Jorge V. José, Terrence J. Sejnowski:
Computational model of carbachol-induced delta, theta and gamma-like oscillations in hippocampus. Neurocomputing 38-40: 587-593 (2001) - [j36]Martina Wicklein, Terrence J. Sejnowski:
Perception of change in depth in the hummingbird hawkmoth Manduca sexta (Sphingidae, Lepidoptera). Neurocomputing 38-40: 1595-1602 (2001) - [j35]Rajesh P. N. Rao, David M. Eagleman, Terrence J. Sejnowski:
Optimal Smoothing in Visual Motion Perception. Neural Comput. 13(6): 1243-1253 (2001) - [j34]Rajesh P. N. Rao, Terrence J. Sejnowski:
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning. Neural Comput. 13(10): 2221-2237 (2001) - [j33]Tzyy-Ping Jung, Scott Makeig, Martin J. McKeown, Anthony J. Bell, Te-Won Lee, Terrence J. Sejnowski:
Imaging brain dynamics using independent component analysis. Proc. IEEE 89(7): 1107-1122 (2001) - 2000
- [j32]Michael S. Lewicki, Terrence J. Sejnowski:
Learning Overcomplete Representations. Neural Comput. 12(2): 337-365 (2000) - [j31]Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski:
ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1078-1089 (2000) - [c59]Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski:
The Spectral Independent Components of Natural Scenes. Biologically Motivated Computer Vision 2000: 527-534 - [c58]Marwan A. Jabri, Ki-Young Park, Soo-Young Lee, Terrence J. Sejnowski:
Properties of Independent Components of Self-Motion Optical Flow. ISMVL 2000: 355-366 - [c57]Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski:
Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. NIPS 2000: 866-872 - [c56]Michael S. Gray, Terrence J. Sejnowski, Javier R. Movellan:
A Comparison of Image Processing Techniques for Visual Speech Recognition Applications. NIPS 2000: 939-945
1990 – 1999
- 1999
- [j30]Arthur R. Houweling, Maxim Bazhenov, Igor Timofeev, Mircea Steriade, Terrence J. Sejnowski:
Cortical and thalamic components of augmenting responses: A modeling study. Neurocomputing 26-27: 735-742 (1999) - [j29]Kechen Zhang, Terrence J. Sejnowski:
Neuronal tuning: To Sharpen or Broaden? Neural Comput. 11(1): 75-84 (1999) - [j28]Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski:
Relation Between Retinotopical and Orientation Maps in Visual Cortex. Neural Comput. 11(2): 375-379 (1999) - [j27]Te-Won Lee, Mark A. Girolami, Terrence J. Sejnowski:
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Comput. 11(2): 417-441 (1999) - [j26]Sidney R. Lehky, Terrence J. Sejnowski:
Seeing White: Qualia in the Context of Decoding Population Codes. Neural Comput. 11(6): 1261-1280 (1999) - [j25]Gianluca Donato, Marian Stewart Bartlett, Joseph C. Hager, Paul Ekman, Terrence J. Sejnowski:
Classifying Facial Actions. IEEE Trans. Pattern Anal. Mach. Intell. 21(10): 974-989 (1999) - [j24]Te-Won Lee, Michael S. Lewicki, Mark A. Girolami, Terrence J. Sejnowski:
Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Process. Lett. 6(4): 87-90 (1999) - [c55]Rajesh P. N. Rao, Terrence J. Sejnowski:
Predictive Sequence Learning in Recurrent Neocortical Circuits. NIPS 1999: 164-170 - [c54]Marian Stewart Bartlett, Gianluca Donato, Javier R. Movellan, Joseph C. Hager, Paul Ekman, Terrence J. Sejnowski:
Image Representations for Facial Expression Coding. NIPS 1999: 886-892 - 1998
- [j23]Laurenz Wiskott, Terrence J. Sejnowski:
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization. Neural Comput. 10(3): 671-716 (1998) - [c53]Marian Stewart Bartlett, Martin Lades, Terrence J. Sejnowski:
Independent component representations for face recognition. Human Vision and Electronic Imaging 1998: 528-539 - [c52]Te-Won Lee, Andreas Ziehe, Reinhold Orglmeister, Terrence J. Sejnowski:
Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem. ICASSP 1998: 1249-1252 - [c51]Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski:
Analyzing and Visualizing Single-Trial Event-Related Potentials. NIPS 1998: 118-124 - [c50]Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski:
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514 - [c49]Michael S. Lewicki, Terrence J. Sejnowski:
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. NIPS 1998: 730-736 - 1997
- [j22]Geoffrey J. Goodhill, Terrence J. Sejnowski:
A Unifying Objective Function for Topographic Mappings. Neural Comput. 9(6): 1291-1303 (1997) - [j21]Tzyy-Ping Jung, Scott Makeig, Magnus Stensmo, Terrence J. Sejnowski:
Estimating alertness from the EEG power spectrum. IEEE Trans. Biomed. Eng. 44(1): 60-69 (1997) - [c48]Raphael Ritz, Terrence J. Sejnowski:
Correlation Coding in Stochastic Neural Networks. ICANN 1997: 79-84 - [c47]Laurenz Wiskott, Terrence J. Sejnowski:
Objective Functions for Neural Map Formation. ICANN 1997: 243-248 - [c46]Geoffrey J. Goodhill, Terrence J. Sejnowski:
Objective Functions for Topography: A Comparison of Optimal Maps. NCPW 1997: 73-83 - [c45]Michael S. Lewicki, Terrence J. Sejnowski:
Learning Nonlinear Overcomplete Representations for Efficient Coding. NIPS 1997: 556-562 - [c44]Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski:
Extended ICA Removes Artifacts from Electroencephalographic Recordings. NIPS 1997: 894-900 - 1996
- [j20]George N. Reeke Jr., Patricia S. Churchland, Terrence J. Sejnowski:
The Computational Brain. Artif. Intell. 82(1-2): 381-391 (1996) - [j19]Paul C. Bush, Terrence J. Sejnowski:
Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models. J. Comput. Neurosci. 3(2): 91-110 (1996) - [j18]Peter Dayan, Terrence J. Sejnowski:
Exploration Bonuses and Dual Control. Mach. Learn. 25(1): 5-22 (1996) - [c43]Akaysha C. Tang, Andreas M. Bartels, Terrence J. Sejnowski:
Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input. NIPS 1996: 111-117 - [c42]Michael S. Lewicki, Terrence J. Sejnowski:
Bayesian Unsupervised Learning of Higher Order Structure. NIPS 1996: 529-535 - [c41]Michael S. Gray, Javier R. Movellan, Terrence J. Sejnowski:
Dynamic Features for Visual Speechreading: A Systematic Comparison. NIPS 1996: 751-757 - [c40]Marian Stewart Bartlett, Terrence J. Sejnowski:
Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks. NIPS 1996: 817-823 - [c39]Anthony J. Bell, Terrence J. Sejnowski:
Edges are the Independent Components of Natural Scenes. NIPS 1996: 831-837 - [c38]Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski:
Selective Integration: A Model for Disparity Estimation. NIPS 1996: 866-872 - [c37]Magnus Stensmo, Terrence J. Sejnowski:
Learning Decision Theoretic Utilities through Reinforcement Learning. NIPS 1996: 1061-1067 - 1995
- [j17]Anthony J. Bell, Terrence J. Sejnowski:
An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7(6): 1129-1159 (1995) - [j16]Michael S. Gray, David T. Lawrence, Beatrice A. Golomb, Terrence J. Sejnowski:
A perceptron reveals the face of sex. Neural Comput. 7(6): 1160-1164 (1995) - [c36]Terrence J. Sejnowski, Peter Dayan, P. Read Montague:
Predictive Hebbian Learning. COLT 1995: 15-18 - [c35]Anthony J. Bell, Terrence J. Sejnowski:
Blind separation and blind deconvolution: an information-theoretic approach. ICASSP 1995: 3415-3418 - [c34]Alexandre Pouget, Terrence J. Sejnowski:
A Model of Spatial Representations in Parietal Cortex Explains Hemineglect. NIPS 1995: 10-16 - [c33]Olivier J. M. D. Coenen, Terrence J. Sejnowski:
A Dynamical Moedl of Context Dependencies for the Vestibulo-Ocular Reflex. NIPS 1995: 89-95 - [c32]Scott Makeig, Anthony J. Bell, Tzyy-Ping Jung, Terrence J. Sejnowski:
Independent Component Analysis of Electroencephalographic Data. NIPS 1995: 145-151 - [c31]Geoffrey J. Goodhill, Steven Finch, Terrence J. Sejnowski:
Optimizing Cortical Mappings. NIPS 1995: 330-336 - [c30]Nicol N. Schraudolph, Terrence J. Sejnowski:
Tempering Backpropagation Networks: Not All Weights are Created Equal. NIPS 1995: 563-569 - [c29]Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman:
Classifying Facial Action. NIPS 1995: 823-829 - [c28]Paul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski:
Empirical Entropy Manipulation for Real-World Problems. NIPS 1995: 851-857 - [c27]Scott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski:
Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence. NIPS 1995: 931-937 - 1994
- [j15]Alain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski:
Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism. J. Comput. Neurosci. 1(3): 195-230 (1994) - [j14]Peter Dayan, Terrence J. Sejnowski:
TD(lambda) Converges with Probability 1. Mach. Learn. 14(1): 295-301 (1994) - [j13]Alain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski:
An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding. Neural Comput. 6(1): 14-18 (1994) - [c26]Kenji Doya, Terrence J. Sejnowski:
A Novel Reinforcement Model of Birdsong Vocalization Learning. NIPS 1994: 101-108 - [c25]Alexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski:
Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl. NIPS 1994: 125-132 - [c24]Alexandre Pouget, Terrence J. Sejnowski:
Spatial Representations in the Parietal Cortex May Use Basis Functions. NIPS 1994: 157-164 - [c23]Richard S. Zemel, Terrence J. Sejnowski:
Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex. NIPS 1994: 165-172 - [c22]Anthony J. Bell, Terrence J. Sejnowski:
A Non-linear Information Maximisation Algorithm that Performs Blind Separation. NIPS 1994: 467-474 - [c21]Nicol N. Schraudolph, Terrence J. Sejnowski:
Plasticity-Mediated Competitive Learning. NIPS 1994: 475-480 - [c20]Magnus Stensmo, Terrence J. Sejnowski:
A Mixture Model System for Medical and Machine Diagnosis. NIPS 1994: 1077-1084 - 1993
- [j12]Peter Dayan, Terrence J. Sejnowski:
The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural Comput. 5(2): 205-209 (1993) - [c19]P. Read Montague, Peter Dayan, Terrence J. Sejnowski:
Foraging in an Uncertain Environment Using Predictive Hebbian Learning. NIPS 1993: 598-605 - [c18]Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski:
Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993: 817-824 - [c17]Josef P. Rauschecker, Terrence J. Sejnowski:
Processing of Visual and Auditory Space and Its Modification by Experience. NIPS 1993: 1186-1187 - 1992
- [b1]Patricia S. Churchland, Terrence J. Sejnowski:
The computational brain. Computational neuroscience, MIT Press 1992, ISBN 978-0-262-03188-2, pp. I-XI, 1-544 - [c16]Steven J. Nowlan, Terrence J. Sejnowski:
Filter Selection Model for Generating Visual Motion Signals. NIPS 1992: 369-376 - [c15]Nicol N. Schraudolph, Terrence J. Sejnowski:
Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain. NIPS 1992: 499-506 - [c14]Olivier J. M. D. Coenen, Terrence J. Sejnowski, Stephen G. Lisberger:
Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex. NIPS 1992: 961-968 - [c13]P. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski:
Using Aperiodic Reinforcement for Directed Self-Organization During Development. NIPS 1992: 969-976 - 1991
- [j11]Paul C. Bush, Terrence J. Sejnowski:
Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics. Neural Comput. 3(3): 321-332 (1991) - [c12]Paul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski:
Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion. NIPS 1991: 380-387 - [c11]Alexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski:
Hierarchical Transformation of Space in the Visual System. NIPS 1991: 412-419 - [c10]Rita Venturini, William W. Lytton, Terrence J. Sejnowski:
Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance. NIPS 1991: 651-658 - [c9]Nicol N. Schraudolph, Terrence J. Sejnowski:
Competitive Anti-Hebbian Learning of Invariants. NIPS 1991: 1017-1024 - 1990
- [j10]Yan Fang, Terrence J. Sejnowski:
Faster Learning for Dynamic Recurrent Backpropagation. Neural Comput. 2(3): 270-273 (1990) - [j9]Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech. Neural Comput. 2(3): 274-282 (1990) - [j8]Ben P. Yuhas, Moise H. Goldstein Jr., Terrence J. Sejnowski, Robert E. Jenkins:
Neural network models of sensory integration for improved vowel recognition. Proc. IEEE 78(10): 1658-1668 (1990) - [c8]Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
A dynamical neural network model of sensorimotor transformations in the leech. IJCNN 1990: 183-188 - [c7]Beatrice A. Golomb, David T. Lawrence, Terrence J. Sejnowski:
SEXNET: A Neural Network Identifies Sex From Human Faces. NIPS 1990: 572-579
1980 – 1989
- 1989
- [j7]Gerald Tesauro, Terrence J. Sejnowski:
A Parallel Network that Learns to Play Backgammon. Artif. Intell. 39(3): 357-390 (1989) - [j6]Terrence J. Sejnowski:
The Computer and the Brain Revisited. IEEE Ann. Hist. Comput. 11(3): 197-201 (1989) - [j5]Ben P. Yuhas, Moise H. Goldstein Jr., Terrence J. Sejnowski:
Integration of acoustic and visual speech signals using neural networks. IEEE Commun. Mag. 27(11): 65-71 (1989) - [c6]Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech. NIPS 1989: 28-35 - [c5]Terrence J. Sejnowski, Ben P. Yuhas, Moise H. Goldstein Jr., Robert E. Jenkins:
Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility. NIPS 1989: 232-239 - 1988
- [j4]R. Paul Gorman, Terrence J. Sejnowski:
Analysis of hidden units in a layered network trained to classify sonar targets. Neural Networks 1(1): 75-89 (1988) - [j3]R. Paul Gorman, Terrence J. Sejnowski:
Learned classification of sonar targets using a massively parallel network. IEEE Trans. Acoust. Speech Signal Process. 36(7): 1135-1140 (1988) - [c4]Patric K. Stanton, Terrence J. Sejnowski:
Storing Covariance by the Associative Long-Term Potentation and Depression of Synaptic Strengths in the Hippocampus. NIPS 1988: 394-401 - 1987
- [j2]Terrence J. Sejnowski, Charles R. Rosenberg:
Parallel Networks that Learn to Pronounce English Text. Complex Syst. 1(1) (1987) - [c3]Gerald Tesauro, Terrence J. Sejnowski:
A 'Neural' Network that Learns to Play Backgammon. NIPS 1987: 794-803 - 1986
- [c2]Terrence J. Sejnowski:
Language Learning in Massively-Parallel Networks. ACL 1986: 184 - 1985
- [j1]David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski:
A Learning Algorithm for Boltzmann Machines. Cogn. Sci. 9(1): 147-169 (1985) - 1983
- [c1]Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski:
Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. AAAI 1983: 109-113
1950 – 1959
- 1954
- [d1]Terry Sejnowski, Charles R. Rosenberg:
Connectionist Bench (Nettalk Corpus). UCI-MLR, 1954
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-04-09 00:41 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
