Terrence J. Sejnowski

249 papers A* 7A 2B 2C 5Misc 2Journal 166Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NeuroAI and Beyond. CoRR Jean-Marc Fellous, Gert Cauwenberghs, Cornelia Fermüller, Yulia Sandamisrkaya, Terrence J. Sejnowski
2025	J	`jnl`	Bridging Expressivity and Scalability with Adaptive Unitary SSMs. CoRR Arjun Karuvally, Franz Nowak, Thomas A. Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann
2025	J	`jnl`	Diversity Deconstrains Component Limitations in Sensorimotor Control. Neural Comput. Yorie Nakahira, Quanying Liu, Xiyu Deng, Terrence J. Sejnowski, John Doyle
2025	J	`jnl`	Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons. CoRR Terrence J. Sejnowski
2025	J	`jnl`	EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. CoRR 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
2025	J	`jnl`	Exponential Dynamic Energy Network for High Capacity Sequence Memory. CoRR Arjun Karuvally, Pichsinee Lertsaroj, Terrence J. Sejnowski, Hava T. Siegelmann
2025	J	`jnl`	Obituary for Professor Jack D. Cowan. Biol. Cybern. Bard Ermentrout, Terrence J. Sejnowski, Peter J. Thomas, Hugh R. Wilson
2025	J	`jnl`	The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI. CoRR Barbara Oakley, Michael Johnston, Ken-Zen Chen, Eulho Jung, Terrence J. Sejnowski
2024	J	`jnl`	A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems. CoRR T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
2024	A*	`conf`	Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. ICML Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
2024	J	`jnl`	Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. CoRR Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
2024	J	`jnl`	MCell4 with BioNetGen: A Monte Carlo simulator of rule-based reaction-diffusion systems with Python interface. PLoS Comput. Biol. 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
2024	J	`jnl`	Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures. Neural Comput. Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann
2024	J	`jnl`	Synaptic Information Storage Capacity Measured With Information Theory. Neural Comput. Mohammad Samavat, Thomas M. Bartol, Kristen M. Harris, Terrence J. Sejnowski
2024	J	`jnl`	Transformers and Cortical Waves: Encoders for Pulling In Context Across Time. CoRR Lyle Muller, Patricia S. Churchland, Terrence J. Sejnowski
2024	A*	`conf`	Traveling Waves Encode The Recent Past and Enhance Sequence Learning. ICLR T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
2024	J	`jnl`	Uncommon Sense Teaching: A 3-Course Online Specialization on the Coursera Platform to Share Advances in Effective Teaching. Int. J. Adv. Corp. Learn. Barbara Oakley, Juan Manuel Aristizabal Pineda, David A. Joyner, Beth Rogowsky, Terrence J. Sejnowski
2023	J	`jnl`	Exploring strategy differences between humans and monkeys with recurrent neural networks. PLoS Comput. Biol. Ben Tsuda, Barry J. Richmond, Terrence J. Sejnowski
2023	A*	`conf`	General Sequential Episodic Memory Model. ICML Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
2023	J	`jnl`	Large Language Models and the Reverse Turing Test. Neural Comput. Terrence J. Sejnowski
2023	A	`conf`	Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. AAMAS Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann
2023	J	`jnl`	Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. CoRR Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann
2023	J	`jnl`	Temporally Layered Architecture for Efficient Continuous Control. CoRR Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann
2023	J	`jnl`	Traveling Waves Encode the Recent Past and Enhance Sequence Learning. CoRR T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 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
2022	C	`conf`	Internal Feedback in Biological Control: Architectures and Examples. ACC Anish A. Sarma, Jing Shuang Lisa Li, Josefin Stenberg, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, Terrence J. Sejnowski, John C. Doyle
2022	J	`jnl`	Large Language Models and the Reverse Turing Test. CoRR Terrence J. Sejnowski
2022	J	`jnl`	Multiscale modeling of presynaptic dynamics from molecular to mesoscale. PLoS Comput. Biol. Jonathan W. Garcia, Thomas M. Bartol, Terrence J. Sejnowski
2022	J	`jnl`	Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR 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
2022	J	`jnl`	Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing. IEEE Trans. Affect. Comput. Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
2022	J	`jnl`	Why internal feedback is necessary in the perception-action loop. CoRR Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, John C. Doyle
2021	J	`jnl`	Horace Barlow: a vision scientist for the ages. Biol. Cybern. Terrence J. Sejnowski
2021	J	`jnl`	Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models. Neural Comput. Yinghao Li, Robert Kim, Terrence J. Sejnowski
2021	J	`jnl`	Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory. CoRR Josefin Stenberg, Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, John C. Doyle
2021	J	`jnl`	Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics. CoRR Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness
2021	J	`jnl`	Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
2021	J	`jnl`	Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
2020	J	`jnl`	Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI. Neural Comput. Tiger W. Lin, Yusi Chen, Qasim Bukhari, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski
2020	J	`jnl`	Heterogeneity of Preictal Dynamics in Human Epileptic Seizures. IEEE Access Anup Das, Sydney S. Cash, Terrence J. Sejnowski
2020	J	`jnl`	Interactions between calmodulin and neurogranin govern the dynamics of CaMKII as a leaky integrator. PLoS Comput. Biol. Mariam Ordyan, Tom Bartol, Mary B. Kennedy, Padmini Rangamani, Terrence J. Sejnowski
2020	—	`conf`	Multimodal classification of Parkinson's disease using delay differential analysis. BIBM Jonathan Weyhenmeyer, Manuel E. Hernandez, Claudia Lainscsek, Howard Poizner, Terrence J. Sejnowski
2020	J	`jnl`	The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence. CoRR Terrence J. Sejnowski
2020	J	`jnl`	The unreasonable effectiveness of deep learning in artificial intelligence. Proc. Natl. Acad. Sci. USA Terrence J. Sejnowski
2019	J	`jnl`	A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications. IEEE Trans. Biomed. Eng. Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski
2019	J	`jnl`	A multi-state model of the CaMKII dodecamer suggests a role for calmodulin in maintenance of autophosphorylation. PLoS Comput. Biol. Matthew C. Pharris, Neal M. Patel, Tyler G. VanDyk, Thomas M. Bartol, Terrence J. Sejnowski, Mary B. Kennedy, Melanie I. Stefan, Tamara Kinzer-Ursem
2019	J	`jnl`	Characterizing Brain Connectivity From Human Electrocorticography Recordings With Unobserved Inputs During Epileptic Seizures. Neural Comput. Anup Das, Daniel Sexton, Claudia Lainscsek, Sydney S. Cash, Terrence J. Sejnowski
2019	J	`jnl`	Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions. CoRR Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness
2019	J	`jnl`	Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control. CoRR Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
2019	J	`jnl`	Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control. CoRR Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
2019	C	`conf`	Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control. ACC Yorie Nakahira, Quanying Liu, Natalie Bernat, Terrence J. Sejnowski, John Doyle
2019	J	`jnl`	Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing. CoRR Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
2018	J	`jnl`	An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. CoRR Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski
2018	J	`jnl`	Glider soaring via reinforcement learning in the field. Nat. Gautam Reddy, Jérôme Wong-Ng, Antonio Celani, Terrence J. Sejnowski, Massimo Vergassola
2018	A*	`conf`	Gradient Descent for Spiking Neural Networks. NeurIPS Dongsung Huh, Terrence J. Sejnowski
2018	—	`conf`	Multi-modal Approach for Affective Computing. EMBC Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
2018	J	`jnl`	Multi-modal Approach for Affective Computing. CoRR Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
2018	J	`jnl`	Thalamocortical and intracortical laminar connectivity determines sleep spindle properties. PLoS Comput. Biol. Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller, Terrence J. Sejnowski, Sydney S. Cash, Eric Halgren, Maxim Bazhenov
2017	J	`jnl`	A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm. Frontiers Comput. Neurosci. David A. Peterson, Terrence J. Sejnowski
2017	—	`conf`	An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. HCI (14) Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski
2017	J	`jnl`	Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data. Neural Comput. Claudia Lainscsek, Lyle E. Muller, Aaron L. Sampson, Terrence J. Sejnowski
2017	J	`jnl`	Decision-making neural circuits mediating social behaviors - An attractor network model. J. Comput. Neurosci. Julián Hurtado-López, David F. Ramirez-Moreno, Terrence J. Sejnowski
2017	J	`jnl`	Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data. Neural Comput. Claudia Lainscsek, Jonathan Weyhenmeyer, Sydney S. Cash, Terrence J. Sejnowski
2017	J	`jnl`	Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings. Neural Comput. Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski
2017	J	`jnl`	Gradient Descent for Spiking Neural Networks. CoRR Dongsung Huh, Terrence J. Sejnowski
2017	J	`jnl`	Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings. Neural Comput. Anup Das, Aaron L. Sampson, Claudia Lainscsek, Lyle Muller, Wutu Lin, John C. Doyle, Sydney S. Cash, Eric Halgren, Terrence J. Sejnowski
2017	J	`jnl`	The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data. Neural Comput. Cian O'Donnell, J. Tiago Gonçalves, Nick Whiteley, Carlos Portera-Cailliau, Terrence J. Sejnowski
2016	J	`jnl`	Correlated Percolation, Fractal Structures, and Scale-Invariant Distribution of Clusters in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. Saeed Saremi, Terrence J. Sejnowski
2015	J	`jnl`	Cooperativity between remote sites of ectopic spiking allows afterdischarge to be initiated and maintained at different locations. J. Comput. Neurosci. Jay S. Coggan, Terrence J. Sejnowski, Steven A. Prescott
2015	J	`jnl`	Delay Differential Analysis of Electroencephalographic Data. Neural Comput. Claudia Lainscsek, Manuel E. Hernandez, Howard Poizner, Terrence J. Sejnowski
2015	J	`jnl`	Delay Differential Analysis of Time Series. Neural Comput. Claudia Lainscsek, Terrence J. Sejnowski
2015	J	`jnl`	Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling. Neural Comput. Romain Veltz, Terrence J. Sejnowski
2015	J	`jnl`	The Wilson Machine for Image Modeling. CoRR Saeed Saremi, Terrence J. Sejnowski
2014	J	`jnl`	Engineering intelligent electronic systems based on computational neuroscience [scanning the issue]. Proc. IEEE Mark D. McDonnell, Kwabena Boahen, Auke Jan Ijspeert, Terrence J. Sejnowski
2014	J	`jnl`	Multi-state Modeling of Biomolecules. PLoS Comput. Biol. Melanie I. Stefan, Thomas M. Bartol, Terrence J. Sejnowski, Mary B. Kennedy
2014	—	`conf`	Muscle artifacts in single trial EEG data distinguish patients with Parkinson's disease from healthy individuals. EMBC Jonathan Weyhenmeyer, Manuel E. Hernandez, Claudia Lainscsek, Terrence J. Sejnowski, Howard Poizner
2014	J	`jnl`	On Criticality in High-Dimensional Data. Neural Comput. Saeed Saremi, Terrence J. Sejnowski
2014	J	`jnl`	Place Cell Rate Remapping by CA3 Recurrent Collaterals. PLoS Comput. Biol. Trygve Solstad, Hosam N. Yousif, Terrence J. Sejnowski
2014	J	`jnl`	Prospective Optimization. Proc. IEEE Terrence J. Sejnowski, Howard Poizner, Gary Lynch, Sergei Gepshtein, Ralph J. Greenspan
2014	J	`jnl`	Regulating Cortical Oscillations in an Inhibition-Stabilized Network. Proc. IEEE Monika P. Jadi, Terrence J. Sejnowski
2014	J	`jnl`	Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling. PLoS Comput. Biol. 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
2014	J	`jnl`	Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning. PLoS Comput. Biol. Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski
2014	J	`jnl`	VolRoverN: Enhancing Surface and Volumetric Reconstruction for Realistic Dynamical Simulation of Cellular and Subcellular Function. Neuroinformatics John Edwards, Eric Daniel, Justin Kinney, Thomas M. Bartol, Terrence J. Sejnowski, Daniel Johnston, Kristen M. Harris, Chandrajit L. Bajaj
2013	J	`jnl`	Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma. PLoS Comput. Biol. Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski
2013	J	`jnl`	Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches. Neural Comput. Saeed Saremi, Terrence J. Sejnowski, Tatyana O. Sharpee
2013	J	`jnl`	Hierarchical model of natural images and the origin of scale invariance. Proc. Natl. Acad. Sci. USA Saeed Saremi, Terrence J. Sejnowski
2012	B	`conf`	A Berger-Levy energy efficient neuron model with unequal synaptic weights. ISIT Jie Xing, Toby Berger, Terrence J. Sejnowski
2012	J	`jnl`	A computational model for the modulation of the prepulse inhibition of the acoustic startle reflex. Biol. Cybern. David Fernando Ramirez-Moreno, Terrence J. Sejnowski
2012	J	`jnl`	Computational models of neuron-astrocyte interaction in epilepsy. Frontiers Comput. Neurosci. Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski
2012	J	`jnl`	Generalization and Multirate Models of Motor Adaptation. Neural Comput. Hirokazu Tanaka, John W. Krakauer, Terrence J. Sejnowski
2012	J	`jnl`	Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics. PLoS Comput. Biol. J. Vincent Toups, Jean-Marc Fellous, Peter J. Thomas, Terrence J. Sejnowski, Paul H. E. Tiesinga
2012	J	`jnl`	The effect of neural adaptation on population coding accuracy. J. Comput. Neurosci. Jesús M. Cortés, Daniele Marinazzo, Peggy Seriès, Mike W. Oram, Terrence J. Sejnowski, Mark C. W. van Rossum
2011	J	`jnl`	Biophysical Neural Spiking, Bursting, and Excitability Dynamics in Reconfigurable Analog VLSI. IEEE Trans. Biomed. Circuits Syst. Theodore Yu, Terrence J. Sejnowski, Gert Cauwenberghs
2011	J	`jnl`	Choice modulates the neural dynamics of prediction error processing during rewarded learning. NeuroImage David A. Peterson, Daniel T. Lotz, Eric Halgren, Terrence J. Sejnowski, Howard Poizner
2011	J	`jnl`	Finding the Event Structure of Neuronal Spike Trains. Neural Comput. J. Vincent Toups, Jean-Marc Fellous, Peter J. Thomas, Terrence J. Sejnowski, Paul H. E. Tiesinga
2011	J	`jnl`	Intracellular Dynamics of Virtual Place Cells. Neural Comput. Sandro Romani, Terrence J. Sejnowski, Misha Tsodyks
2011	J	`jnl`	Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation. Proc. Natl. Acad. Sci. USA Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski
2010	—	`conf`	Combining Temporal and Frequency based Prediction for EEG Signals. BIOSIGNALS Padma Polash Paul, Howard Leung, David A. Peterson, Terrence J. Sejnowski, Howard Poizner
2010	J	`jnl`	Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior. Neural Comput. Jiucang Hao, Intae Lee, Te-Won Lee, Terrence J. Sejnowski
2010	J	`jnl`	Modelling Vesicular Release at Hippocampal Synapses. PLoS Comput. Biol. Suhita Nadkarni, Thomas M. Bartol, Terrence J. Sejnowski, Herbert Levine
2010	J	`jnl`	Representation Sharpening Can Explain Perceptual Priming. Neural Comput. Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski
2010	J	`jnl`	Shunting Inhibition Controls the Gain Modulation Mediated by Asynchronous Neurotransmitter Release in Early Development. PLoS Comput. Biol. Vladislav Volman, Herbert Levine, Terrence J. Sejnowski
2010	J	`jnl`	Speech Enhancement Using Gaussian Scale Mixture Models. IEEE Trans. Speech Audio Process. Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
2009	J	`jnl`	Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. IEEE Trans. Speech Audio Process. Jiucang Hao, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee, Terrence J. Sejnowski
2009	J	`jnl`	The Wilson-Cowan model, 36 years later. Biol. Cybern. Alain Destexhe, Terrence J. Sejnowski
2009	J	`jnl`	The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons. J. Comput. Neurosci. Klaus M. Stiefel, Boris S. Gutkin, Terrence J. Sejnowski
2008	J	`jnl`	Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation. PLoS Comput. Biol. Steven A. Prescott, Yves De Koninck, Terrence J. Sejnowski
2008	J	`jnl`	Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces. SIAM J. Sci. Comput. Rex A. Kerr, Thomas M. Bartol, Boris Kaminsky, Markus Dittrich, Jen-Chien Jack Chang, Scott B. Baden, Terrence J. Sejnowski, Joel R. Stiles
2008	J	`jnl`	Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms. Neural Comput. Bernhard Englitz, Klaus M. Stiefel, Terrence J. Sejnowski
2008	J	`jnl`	Synaptic Learning Rules and Sparse Coding in a Model Sensory System. PLoS Comput. Biol. Luca A. Finelli, Seth Haney, Maxim Bazhenov, Mark Stopfer, Terrence J. Sejnowski
2007	J	`jnl`	Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage Arnaud Delorme, Terrence J. Sejnowski, Scott Makeig
2007	C	`conf`	Toward Petascale Simulation of Cellular Microphysiology. BIBE Scott B. Baden, Terrence J. Sejnowski, Thomas M. Bartol, Joel R. Stiles
2006	J	`jnl`	Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron. Neural Networks Jyoti Mishra, Jean-Marc Fellous, Terrence J. Sejnowski
2006	J	`jnl`	Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics. Neural Comput. Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
2006	J	`jnl`	Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. Neurocomputing Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig
2005	—	`conf`	A Bayesian Framework for Tilt Perception and Confidence. NIPS Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
2004	A	`conf`	A Large Scale Monte Carlo Simulator for Cellular Microphysiology. IPDPS Gregory T. Balls, Scott B. Baden, Tilman Kispersky, Thomas M. Bartol, Terrence J. Sejnowski
2004	—	`conf`	Assignment of Multiplicative Mixtures in Natural Images. NIPS Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
2004	J	`jnl`	Neural systems integration. Neurocomputing Michael P. Arnold, Terrence J. Sejnowski, Dan Hammerstrom, Marwan JA. abri
2004	J	`jnl`	Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks. Neural Comput. Paul H. E. Tiesinga, Terrence J. Sejnowski
2004	—	`conf`	Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals. ICA Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig
2004	J	`jnl`	Spike count distributions, factorizability, and contextual effects in area V1. Neurocomputing Odelia Schwartz, Javier R. Movellan, Thomas Wachtler, Thomas D. Albright, Terrence J. Sejnowski
2004	J	`jnl`	Synchronization as a mechanism for attentional gain modulation. Neurocomputing Paul H. E. Tiesinga, Jean-Marc Fellous, Emilio Salinas, Jorge V. José, Terrence J. Sejnowski
2004	J	`jnl`	The Virtual Instrument: Support for Grid-Enabled Mcell Simulations. Int. J. High Perform. Comput. Appl. 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
2004	—	`conf`	Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA. ICA Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig
2003	J	`jnl`	A new correlation-based measure of spike timing reliability. Neurocomputing Susanne Schreiber, Jean-Marc Fellous, D. Whitmer, Paul H. E. Tiesinga, Terrence J. Sejnowski
2003	J	`jnl`	Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data CoRR Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig
2003	J	`jnl`	Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig
2003	J	`jnl`	Dictionary Learning Algorithms for Sparse Representation. Neural Comput. Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski
2003	J	`jnl`	Reliability and bifurcation in neurons driven by multiple sinusoids. Neurocomputing Peter J. Thomas, Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski
2003	—	`conf`	Spatially Realistic Computational Physiology: Past, Present and Future. PARCO Joel R. Stiles, W. C. Ford, J. M. Pattillo, Thomas E. Deerinck, Mark H. Ellisman, Thomas M. Bartol, Terrence J. Sejnowski
2003	J	`jnl`	Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. Neural Comput. Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
2003	J	`jnl`	Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs. Neurocomputing Jutta Kretzberg, Terrence J. Sejnowski, Anne-Kathrin Warzecha, Martin Egelhaaf
2003	J	`jnl`	Variational Bayesian Learning of ICA with Missing Data. Neural Comput. Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
2002	—	`conf`	A Prototype for Automatic Recognition of Spontaneous Facial Actions. NIPS Marian Stewart Bartlett, Gwen Littlewort, Bjorn Braathen, Terrence J. Sejnowski, Javier R. Movellan
2002	J	`jnl`	Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains. Neural Comput. Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski
2002	J	`jnl`	Comparison of machine learning and traditional classifiers in glaucoma diagnosis. IEEE Trans. Biomed. Eng. Kwokleung Chan, Te-Won Lee, Pamela A. Sample, Michael H. Goldbaum, Robert N. Weinreb, Terrence J. Sejnowski
2002	J	`jnl`	Face recognition by independent component analysis. IEEE Trans. Neural Networks Marian Stewart Bartlett, Javier R. Movellan, Terrence J. Sejnowski
2002	—	`conf`	Factorial Coding of Color in Primary Visual Cortex. NIPS Javier R. Movellan, Thomas Wachtler, Thomas D. Albright, Terrence J. Sejnowski
2002	J	`jnl`	From single-trial EEG to brain area dynamics. Neurocomputing Arnaud Delorme, Scott Makeig, Michèle Fabre-Thorpe, Terrence J. Sejnowski
2002	J	`jnl`	Graphical Models: Foundations of Neural Computation. Pattern Anal. Appl. Michael I. Jordan, Terrence J. Sejnowski
2002	—	`conf`	Handling Missing Data with Variational Bayesian Learning of ICA. NIPS Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
2002	J	`jnl`	Integrate-and-Fire Neurons Driven by Correlated Stochastic Input. Neural Comput. Emilio Salinas, Terrence J. Sejnowski
2002	J	`jnl`	Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard
2002	J	`jnl`	Single-Trial Variability in Event-Related BOLD Signals. NeuroImage Jeng-Ren Duann, Tzyy-Ping Jung, Wen-Jui Kuo, Tzu-Chen Yeh, Scott Makeig, Jen-Chuen Hsieh, Terrence J. Sejnowski
2002	J	`jnl`	Slow Feature Analysis: Unsupervised Learning of Invariances. Neural Comput. Laurenz Wiskott, Terrence J. Sejnowski
2002	J	`jnl`	Spike propagation synchronized by temporally asymmetric Hebbian learning. Biol. Cybern. Roland E. Suri, Terrence J. Sejnowski
2002	J	`jnl`	Spike-time reliability of periodically driven integrate-and-fire neurons. Neurocomputing Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski
2002	J	`jnl`	Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. J. Mach. Learn. Res. Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
2001	J	`jnl`	An MCell model of calcium dynamics and frequency-dependence of calmodulin activation in dendritic spines. Neurocomputing Kevin M. Franks, Thomas M. Bartol, Terrence J. Sejnowski
2001	J	`jnl`	Computational model of carbachol-induced delta, theta and gamma-like oscillations in hippocampus. Neurocomputing Jean-Marc Fellous, Paul H. E. Tiesinga, Jorge V. José, Terrence J. Sejnowski
2001	J	`jnl`	Imaging brain dynamics using independent component analysis. Proc. IEEE Tzyy-Ping Jung, Scott Makeig, Martin J. McKeown, Anthony J. Bell, Te-Won Lee, Terrence J. Sejnowski
2001	J	`jnl`	Models of frequency preferences of prefrontal cortical neurons. Neurocomputing Arthur R. Houweling, Rashmi H. Modi, Paul Ganter, Jean-Marc Fellous, Terrence J. Sejnowski
2001	J	`jnl`	Optimal Smoothing in Visual Motion Perception. Neural Comput. Rajesh P. N. Rao, David M. Eagleman, Terrence J. Sejnowski
2001	J	`jnl`	Optimal information transfer in synchronized neocortical neurons. Neurocomputing Paul H. E. Tiesinga, Jean-Marc Fellous, Jorge V. José, Terrence J. Sejnowski
2001	J	`jnl`	Parallel Fiber Coding in the Cerebellum for Life-Long Learning. Auton. Robots Olivier J. M. D. Coenen, Michael P. Arnold, Terrence J. Sejnowski, Marwan A. Jabri
2001	J	`jnl`	Perception of change in depth in the hummingbird hawkmoth Manduca sexta (Sphingidae, Lepidoptera). Neurocomputing Martina Wicklein, Terrence J. Sejnowski
2001	J	`jnl`	Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning. Neural Comput. Rajesh P. N. Rao, Terrence J. Sejnowski
2000	—	`conf`	A Comparison of Image Processing Techniques for Visual Speech Recognition Applications. NIPS Michael S. Gray, Terrence J. Sejnowski, Javier R. Movellan
2000	—	`conf`	Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. NIPS Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
2000	J	`jnl`	ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. IEEE Trans. Pattern Anal. Mach. Intell. Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
2000	J	`jnl`	Learning Overcomplete Representations. Neural Comput. Michael S. Lewicki, Terrence J. Sejnowski
2000	—	`conf`	Properties of Independent Components of Self-Motion Optical Flow. ISMVL Marwan A. Jabri, Ki-Young Park, Soo-Young Lee, Terrence J. Sejnowski
2000	—	`conf`	The Spectral Independent Components of Natural Scenes. Biologically Motivated Computer Vision Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
1999	J	`jnl`	Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Process. Lett. Te-Won Lee, Michael S. Lewicki, Mark A. Girolami, Terrence J. Sejnowski
1999	J	`jnl`	Classifying Facial Actions. IEEE Trans. Pattern Anal. Mach. Intell. Gianluca Donato, Marian Stewart Bartlett, Joseph C. Hager, Paul Ekman, Terrence J. Sejnowski
1999	J	`jnl`	Cortical and thalamic components of augmenting responses: A modeling study. Neurocomputing Arthur R. Houweling, Maxim Bazhenov, Igor Timofeev, Mircea Steriade, Terrence J. Sejnowski
1999	—	`conf`	Image Representations for Facial Expression Coding. NIPS Marian Stewart Bartlett, Gianluca Donato, Javier R. Movellan, Joseph C. Hager, Paul Ekman, Terrence J. Sejnowski
1999	J	`jnl`	Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Comput. Te-Won Lee, Mark A. Girolami, Terrence J. Sejnowski
1999	J	`jnl`	Neuronal tuning: To Sharpen or Broaden? Neural Comput. Kechen Zhang, Terrence J. Sejnowski
1999	—	`conf`	Predictive Sequence Learning in Recurrent Neocortical Circuits. NIPS Rajesh P. N. Rao, Terrence J. Sejnowski
1999	J	`jnl`	Relation Between Retinotopical and Orientation Maps in Visual Cortex. Neural Comput. Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski
1999	J	`jnl`	Seeing White: Qualia in the Context of Decoding Population Codes. Neural Comput. Sidney R. Lehky, Terrence J. Sejnowski
1998	—	`conf`	Analyzing and Visualizing Single-Trial Event-Related Potentials. NIPS Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski
1998	—	`conf`	Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. NIPS Michael S. Lewicki, Terrence J. Sejnowski
1998	Misc	`conf`	Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem. ICASSP Te-Won Lee, Andreas Ziehe, Reinhold Orglmeister, Terrence J. Sejnowski
1998	J	`jnl`	Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization. Neural Comput. Laurenz Wiskott, Terrence J. Sejnowski
1998	—	`conf`	Independent component representations for face recognition. Human Vision and Electronic Imaging Marian Stewart Bartlett, Martin Lades, Terrence J. Sejnowski
1998	—	`conf`	Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
1997	J	`jnl`	A Unifying Objective Function for Topographic Mappings. Neural Comput. Geoffrey J. Goodhill, Terrence J. Sejnowski
1997	C	`conf`	Correlation Coding in Stochastic Neural Networks. ICANN Raphael Ritz, Terrence J. Sejnowski
1997	J	`jnl`	Estimating alertness from the EEG power spectrum. IEEE Trans. Biomed. Eng. Tzyy-Ping Jung, Scott Makeig, Magnus Stensmo, Terrence J. Sejnowski
1997	—	`conf`	Extended ICA Removes Artifacts from Electroencephalographic Recordings. NIPS Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski
1997	—	`conf`	Learning Nonlinear Overcomplete Representations for Efficient Coding. NIPS Michael S. Lewicki, Terrence J. Sejnowski
1997	C	`conf`	Objective Functions for Neural Map Formation. ICANN Laurenz Wiskott, Terrence J. Sejnowski
1997	—	`conf`	Objective Functions for Topography: A Comparison of Optimal Maps. NCPW Geoffrey J. Goodhill, Terrence J. Sejnowski
1996	—	`conf`	Bayesian Unsupervised Learning of Higher Order Structure. NIPS Michael S. Lewicki, Terrence J. Sejnowski
1996	—	`conf`	Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input. NIPS Akaysha C. Tang, Andreas M. Bartels, Terrence J. Sejnowski
1996	—	`conf`	Dynamic Features for Visual Speechreading: A Systematic Comparison. NIPS Michael S. Gray, Javier R. Movellan, Terrence J. Sejnowski
1996	—	`conf`	Edges are the Independent Components of Natural Scenes. NIPS Anthony J. Bell, Terrence J. Sejnowski
1996	J	`jnl`	Exploration Bonuses and Dual Control. Mach. Learn. Peter Dayan, Terrence J. Sejnowski
1996	J	`jnl`	Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models. J. Comput. Neurosci. Paul C. Bush, Terrence J. Sejnowski
1996	—	`conf`	Learning Decision Theoretic Utilities through Reinforcement Learning. NIPS Magnus Stensmo, Terrence J. Sejnowski
1996	—	`conf`	Selective Integration: A Model for Disparity Estimation. NIPS Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski
1996	J	`jnl`	The Computational Brain. Artif. Intell. George N. Reeke Jr., Patricia S. Churchland, Terrence J. Sejnowski
1996	—	`conf`	Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks. NIPS Marian Stewart Bartlett, Terrence J. Sejnowski
1995	—	`conf`	A Dynamical Moedl of Context Dependencies for the Vestibulo-Ocular Reflex. NIPS Olivier J. M. D. Coenen, Terrence J. Sejnowski
1995	—	`conf`	A Model of Spatial Representations in Parietal Cortex Explains Hemineglect. NIPS Alexandre Pouget, Terrence J. Sejnowski
1995	J	`jnl`	A perceptron reveals the face of sex. Neural Comput. Michael S. Gray, David T. Lawrence, Beatrice A. Golomb, Terrence J. Sejnowski
1995	J	`jnl`	An information-maximization approach to blind separation and blind deconvolution. Neural Comput. Anthony J. Bell, Terrence J. Sejnowski
1995	Misc	`conf`	Blind separation and blind deconvolution: an information-theoretic approach. ICASSP Anthony J. Bell, Terrence J. Sejnowski
1995	—	`conf`	Classifying Facial Action. NIPS Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman
1995	—	`conf`	Empirical Entropy Manipulation for Real-World Problems. NIPS Paul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski
1995	—	`conf`	Independent Component Analysis of Electroencephalographic Data. NIPS Scott Makeig, Anthony J. Bell, Tzyy-Ping Jung, Terrence J. Sejnowski
1995	—	`conf`	Optimizing Cortical Mappings. NIPS Geoffrey J. Goodhill, Steven Finch, Terrence J. Sejnowski
1995	A*	`conf`	Predictive Hebbian Learning. COLT Terrence J. Sejnowski, Peter Dayan, P. Read Montague
1995	—	`conf`	Tempering Backpropagation Networks: Not All Weights are Created Equal. NIPS Nicol N. Schraudolph, Terrence J. Sejnowski
1995	—	`conf`	Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence. NIPS Scott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski
1994	—	`conf`	A Mixture Model System for Medical and Machine Diagnosis. NIPS Magnus Stensmo, Terrence J. Sejnowski
1994	—	`conf`	A Non-linear Information Maximisation Algorithm that Performs Blind Separation. NIPS Anthony J. Bell, Terrence J. Sejnowski
1994	—	`conf`	A Novel Reinforcement Model of Birdsong Vocalization Learning. NIPS Kenji Doya, Terrence J. Sejnowski
1994	J	`jnl`	An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding. Neural Comput. Alain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski
1994	—	`conf`	Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex. NIPS Richard S. Zemel, Terrence J. Sejnowski
1994	—	`conf`	Plasticity-Mediated Competitive Learning. NIPS Nicol N. Schraudolph, Terrence J. Sejnowski
1994	—	`conf`	Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl. NIPS Alexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski
1994	—	`conf`	Spatial Representations in the Parietal Cortex May Use Basis Functions. NIPS Alexandre Pouget, Terrence J. Sejnowski
1994	J	`jnl`	Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism. J. Comput. Neurosci. Alain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski
1994	J	`jnl`	TD(lambda) Converges with Probability 1. Mach. Learn. Peter Dayan, Terrence J. Sejnowski
1993	—	`conf`	Foraging in an Uncertain Environment Using Predictive Hebbian Learning. NIPS P. Read Montague, Peter Dayan, Terrence J. Sejnowski
1993	—	`conf`	Processing of Visual and Auditory Space and Its Modification by Experience. NIPS Josef P. Rauschecker, Terrence J. Sejnowski
1993	—	`conf`	Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski
1993	J	`jnl`	The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural Comput. Peter Dayan, Terrence J. Sejnowski
1992	—	`conf`	Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex. NIPS Olivier J. M. D. Coenen, Terrence J. Sejnowski, Stephen G. Lisberger
1992	—	`conf`	Filter Selection Model for Generating Visual Motion Signals. NIPS Steven J. Nowlan, Terrence J. Sejnowski
1992	—	`book`	The computational brain. Patricia S. Churchland, Terrence J. Sejnowski
1992	—	`conf`	Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain. NIPS Nicol N. Schraudolph, Terrence J. Sejnowski
1992	—	`conf`	Using Aperiodic Reinforcement for Directed Self-Organization During Development. NIPS P. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski
1991	—	`conf`	Competitive Anti-Hebbian Learning of Invariants. NIPS Nicol N. Schraudolph, Terrence J. Sejnowski
1991	—	`conf`	Hierarchical Transformation of Space in the Visual System. NIPS Alexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski
1991	—	`conf`	Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance. NIPS Rita Venturini, William W. Lytton, Terrence J. Sejnowski
1991	—	`conf`	Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion. NIPS Paul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski
1991	J	`jnl`	Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics. Neural Comput. Paul C. Bush, Terrence J. Sejnowski
1990	J	`jnl`	A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech. Neural Comput. Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski
1990	B	`conf`	A dynamical neural network model of sensorimotor transformations in the leech. IJCNN Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski
1990	J	`jnl`	Faster Learning for Dynamic Recurrent Backpropagation. Neural Comput. Yan Fang, Terrence J. Sejnowski
1990	J	`jnl`	Neural network models of sensory integration for improved vowel recognition. Proc. IEEE Ben P. Yuhas, Moise H. Goldstein Jr., Terrence J. Sejnowski, Robert E. Jenkins
1990	—	`conf`	SEXNET: A Neural Network Identifies Sex From Human Faces. NIPS Beatrice A. Golomb, David T. Lawrence, Terrence J. Sejnowski
1989	J	`jnl`	A Parallel Network that Learns to Play Backgammon. Artif. Intell. Gerald Tesauro, Terrence J. Sejnowski
1989	—	`conf`	Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility. NIPS Terrence J. Sejnowski, Ben P. Yuhas, Moise H. Goldstein Jr., Robert E. Jenkins
1989	J	`jnl`	Integration of acoustic and visual speech signals using neural networks. IEEE Commun. Mag. Ben P. Yuhas, Moise H. Goldstein Jr., Terrence J. Sejnowski
1989	—	`conf`	Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech. NIPS Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski
1989	J	`jnl`	The Computer and the Brain Revisited. IEEE Ann. Hist. Comput. Terrence J. Sejnowski
1988	J	`jnl`	Analysis of hidden units in a layered network trained to classify sonar targets. Neural Networks R. Paul Gorman, Terrence J. Sejnowski
1988	J	`jnl`	Learned classification of sonar targets using a massively parallel network. IEEE Trans. Acoust. Speech Signal Process. R. Paul Gorman, Terrence J. Sejnowski
1988	—	`conf`	Storing Covariance by the Associative Long-Term Potentation and Depression of Synaptic Strengths in the Hippocampus. NIPS Patric K. Stanton, Terrence J. Sejnowski
1987	—	`conf`	A 'Neural' Network that Learns to Play Backgammon. NIPS Gerald Tesauro, Terrence J. Sejnowski
1987	J	`jnl`	Parallel Networks that Learn to Pronounce English Text. Complex Syst. Terrence J. Sejnowski, Charles R. Rosenberg
1986	A*	`conf`	Language Learning in Massively-Parallel Networks. ACL Terrence J. Sejnowski
1985	J	`jnl`	A Learning Algorithm for Boltzmann Machines. Cogn. Sci. David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski
1983	A*	`conf`	Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. AAAI Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski