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ORCIDTerrence J. Sejnowski
Terry J. Sejnowski – Terry Sejnowski
Person information
- affiliation: University of California, San Diego, USA
- award (1984): Presidential Young Investigator Award
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2020 – today
- 2023
[j131]Terrence J. Sejnowski:
Large Language Models and the Reverse Turing Test. Neural Comput. 35(3): 309-342 (2023)- [c80]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 - [i18]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) - 2022
- [j130]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) - [j129]Jonathan W. Garcia, Thomas M. Bartol, Terrence J. Sejnowski:
Multiscale modeling of presynaptic dynamics from molecular to mesoscale. PLoS Comput. Biol. 18(5) (2022) - [j128]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
- [j127]Terrence J. Sejnowski:
Horace Barlow: a vision scientist for the ages. Biol. Cybern. 115(1): 115-116 (2021) - [j126]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) - [j125]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) - [j124]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
- [j123]Anup Das, Sydney S. Cash, Terrence J. Sejnowski:
Heterogeneity of Preictal Dynamics in Human Epileptic Seizures. IEEE Access 8: 52738-52748 (2020) - [j122]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) - [j121]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) - [j120]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
- [j119]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) - [j118]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) - [j117]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
- [j116]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) - [j115]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
- [j114]David A. Peterson, Terrence J. Sejnowski:
A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm. Frontiers Comput. Neurosci. 11: 11 (2017) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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
- [j107]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
- [j106]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) - [j105]Claudia Lainscsek, Terrence J. Sejnowski:
Delay Differential Analysis of Time Series. Neural Comput. 27(3): 594-614 (2015) - [j104]Claudia Lainscsek, Manuel E. Hernandez, Howard Poizner, Terrence J. Sejnowski:
Delay Differential Analysis of Electroencephalographic Data. Neural Comput. 27(3): 615-627 (2015) - [j103]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
- [j102]Saeed Saremi, Terrence J. Sejnowski:
On Criticality in High-Dimensional Data. Neural Comput. 26(7): 1329-1339 (2014) - [j101]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) - [j100]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) - [j99]Terrence J. Sejnowski, Howard Poizner, Gary Lynch, Sergei Gepshtein, Ralph J. Greenspan:
Prospective Optimization. Proc. IEEE 102(5): 799-811 (2014) - [j98]Monika P. Jadi, Terrence J. Sejnowski:
Regulating Cortical Oscillations in an Inhibition-Stabilized Network. Proc. IEEE 102(5): 830-842 (2014) - [j97]Trygve Solstad, Hosam N. Yousif, Terrence J. Sejnowski:
Place Cell Rate Remapping by CA3 Recurrent Collaterals. PLoS Comput. Biol. 10(6) (2014) - [j96]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) - [j95]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) - [j94]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
- [j93]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) - [j92]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) - [j91]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
- [j90]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) - [j89]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Computational models of neuron-astrocyte interaction in epilepsy. Frontiers Comput. Neurosci. 6: 58 (2012) - [j88]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) - [j87]Hirokazu Tanaka, John W. Krakauer, Terrence J. Sejnowski:
Generalization and Multirate Models of Motor Adaptation. Neural Comput. 24(4): 939-966 (2012) - [j86]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
- [j85]Sandro Romani, Terrence J. Sejnowski, Misha Tsodyks:
Intracellular Dynamics of Virtual Place Cells. Neural Comput. 23(3): 651-655 (2011) - [j84]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) - [j83]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) - [j82]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) - [j81]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
- [j80]Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski:
Representation Sharpening Can Explain Perceptual Priming. Neural Comput. 22(5): 1312-1332 (2010) - [j79]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) - [j78]Suhita Nadkarni, Thomas M. Bartol, Terrence J. Sejnowski, Herbert Levine:
Modelling Vesicular Release at Hippocampal Synapses. PLoS Comput. Biol. 6(11) (2010) - [j77]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) - [j76]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
- [j75]Alain Destexhe, Terrence J. Sejnowski:
The Wilson-Cowan model, 36 years later. Biol. Cybern. 101(1): 1-2 (2009) - [j74]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) - [j73]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
- [j72]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) - [j71]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) - [j70]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) - [j69]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
- [j68]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
- [j67]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) - [j66]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) - [j65]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
- [j64]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) - [j63]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) - [j62]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) - [j61]Michael P. Arnold, Terrence J. Sejnowski, Dan Hammerstrom, Marwan JA. abri:
Neural systems integration. Neurocomputing 58-60: 1123-1128 (2004) - [j60]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
- [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]