Terrence J. Sejnowski

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 53

Top Venues

Publications

Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. CoRR (2024)
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
Traveling Waves Encode The Recent Past and Enhance Sequence Learning. ICLR (2024)
Lyle Muller, Patricia S. Churchland, Terrence J. Sejnowski
Transformers and Cortical Waves: Encoders for Pulling In Context Across Time. CoRR (2024)
Mohammad Samavat, Thomas M. Bartol, Kristen M. Harris, Terrence J. Sejnowski
Synaptic Information Storage Capacity Measured With Information Theory. Neural Comput. 36 (5) (2024)
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)
Terrence J. Sejnowski
Large Language Models and the Reverse Turing Test. Neural Comput. 35 (3) (2023)
Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann
Temporally Layered Architecture for Efficient Continuous Control. CoRR (2023)
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
Traveling Waves Encode the Recent Past and Enhance Sequence Learning. CoRR (2023)
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)
Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
General Sequential Episodic Memory Model. ICML (2023)
Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, John C. Doyle
Why internal feedback is necessary in the perception-action loop. CoRR (2022)
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)
Jonathan W. Garcia, Thomas M. Bartol, Terrence J. Sejnowski
Multiscale modeling of presynaptic dynamics from molecular to mesoscale. PLoS Comput. Biol. 18 (5) (2022)
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) (2022)
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) (2022)
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 (2022)
Terrence J. Sejnowski
Large Language Models and the Reverse Turing Test. CoRR (2022)
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 (2021)
Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness
Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics. CoRR (2021)
Terrence J. Sejnowski
Horace Barlow: a vision scientist for the ages. Biol. Cybern. 115 (1) (2021)
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) (2021)
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 (2021)
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) (2021)
Terrence J. Sejnowski
The unreasonable effectiveness of deep learning in artificial intelligence. Proc. Natl. Acad. Sci. USA 117 (48) (2020)
Mariam Ordyan, Tom Bartol, Mary 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)
Jonathan Weyhenmeyer, Manuel E. Hernandez, Claudia Lainscsek, Howard Poizner, Terrence J. Sejnowski
Multimodal classification of Parkinson's disease using delay differential analysis. BIBM (2020)
Terrence J. Sejnowski
The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence. CoRR (2020)
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) (2020)
Anup Das, Sydney S. Cash, Terrence J. Sejnowski
Heterogeneity of Preictal Dynamics in Human Epileptic Seizures. IEEE Access 8 (2020)
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)
Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing. CoRR (2019)
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)
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 (2019)
Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions. CoRR (2019)
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) (2019)
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) (2019)
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 (2019)
Gautam Reddy, Jérôme Wong-Ng, Antonio Celani, Terrence J. Sejnowski, Massimo Vergassola
Glider soaring via reinforcement learning in the field. Nat. 562 (7726) (2018)
Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. CoRR (2018)
Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
Multi-modal Approach for Affective Computing. CoRR (2018)
Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
Multi-modal Approach for Affective Computing. EMBC (2018)
Dongsung Huh, Terrence J. Sejnowski
Gradient Descent for Spiking Neural Networks. NeurIPS (2018)
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)
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) (2017)
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) (2017)
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) (2017)
Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. HCI (14) (2017)
David A. Peterson, Terrence J. Sejnowski
A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm. Frontiers Comput. Neurosci. 11 (2017)
Claudia Lainscsek, Jonathan Weyhenmeyer, Sydney S. Cash, Terrence J. Sejnowski
Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data. Neural Comput. 29 (12) (2017)
Dongsung Huh, Terrence J. Sejnowski
Gradient Descent for Spiking Neural Networks. CoRR (2017)
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) (2017)
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) (2017)
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) (2016)
Romain Veltz, Terrence J. Sejnowski
Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling. Neural Comput. 27 (12) (2015)
Claudia Lainscsek, Terrence J. Sejnowski
Delay Differential Analysis of Time Series. Neural Comput. 27 (3) (2015)
Claudia Lainscsek, Manuel E. Hernandez, Howard Poizner, Terrence J. Sejnowski
Delay Differential Analysis of Electroencephalographic Data. Neural Comput. 27 (3) (2015)
Saeed Saremi, Terrence J. Sejnowski
The Wilson Machine for Image Modeling. CoRR (2015)
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) (2015)
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) (2014)
Trygve Solstad, Hosam N. Yousif, Terrence J. Sejnowski
Place Cell Rate Remapping by CA3 Recurrent Collaterals. PLoS Comput. Biol. 10 (6) (2014)
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)
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)
Terrence J. Sejnowski, Howard Poizner, Gary Lynch, Sergei Gepshtein, Ralph J. Greenspan
Prospective Optimization. Proc. IEEE 102 (5) (2014)
Monika P. Jadi, Terrence J. Sejnowski
Regulating Cortical Oscillations in an Inhibition-Stabilized Network. Proc. IEEE 102 (5) (2014)
Saeed Saremi, Terrence J. Sejnowski
On Criticality in High-Dimensional Data. Neural Comput. 26 (7) (2014)
Melanie I. Stefan, Thomas M. Bartol, Terrence J. Sejnowski, Mary B. Kennedy
Multi-state Modeling of Biomolecules. PLoS Comput. Biol. 10 (9) (2014)
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) (2014)
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)
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)
Saeed Saremi, Terrence J. Sejnowski, Tatyana O. Sharpee
Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches. Neural Comput. 25 (4) (2013)
Saeed Saremi, Terrence J. Sejnowski
Hierarchical model of natural images and the origin of scale invariance. Proc. Natl. Acad. Sci. USA 110 (8) (2013)
Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski
Computational models of neuron-astrocyte interaction in epilepsy. Frontiers Comput. Neurosci. 6 (2012)
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) (2012)
Hirokazu Tanaka, John W. Krakauer, Terrence J. Sejnowski
Generalization and Multirate Models of Motor Adaptation. Neural Comput. 24 (4) (2012)
Jie Xing, Toby Berger, Terrence J. Sejnowski
A Berger-Levy energy efficient neuron model with unequal synaptic weights. ISIT (2012)
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)
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) (2012)
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) (2011)
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) (2011)
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) (2011)
Sandro Romani, Terrence J. Sejnowski, Misha Tsodyks
Intracellular Dynamics of Virtual Place Cells. Neural Comput. 23 (3) (2011)
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) (2011)
Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski
Representation Sharpening Can Explain Perceptual Priming. Neural Comput. 22 (5) (2010)
Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
Speech Enhancement Using Gaussian Scale Mixture Models. IEEE Trans. Speech Audio Process. 18 (6) (2010)
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) (2010)
Padma Polash Paul, Howard Leung, David A. Peterson, Terrence J. Sejnowski, Howard Poizner
Combining Temporal and Frequency based Prediction for EEG Signals. BIOSIGNALS (2010)
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)
Suhita Nadkarni, Thomas M. Bartol, Terrence J. Sejnowski, Herbert Levine
Modelling Vesicular Release at Hippocampal Synapses. PLoS Comput. Biol. 6 (11) (2010)
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) (2009)
Alain Destexhe, Terrence J. Sejnowski
The Wilson-Cowan model, 36 years later. Biol. Cybern. 101 (1) (2009)
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) (2009)
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) (2008)
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)
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)
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) (2008)
Scott B. Baden, Terrence J. Sejnowski, Thomas M. Bartol, Joel R. Stiles
Toward Petascale Simulation of Cellular Microphysiology. BIBE (2007)
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) (2007)
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) (2006)
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) (2006)
Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics. Neural Comput. 18 (11) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Terrence J. Sejnowski