Terrence J. Sejnowski

According to our database1, Terrence J. Sejnowski authored at least 188 papers between 1983 and 2018.

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Awards

IEEE Fellow

IEEE Fellow 2000, "For fundamental advances in the theory and practice of neural networks and for contributions to computational neuroscience.".

Timeline

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Bibliography

2018
Thalamocortical and intracortical laminar connectivity determines sleep spindle properties.
PLoS Computational Biology, 2018

Multi-modal Approach for Affective Computing.
CoRR, 2018

An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research.
CoRR, 2018

Multi-modal Approach for Affective Computing.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data.
Neural Computation, 2017

Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings.
Neural Computation, 2017

Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data.
Neural Computation, 2017

Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data.
Neural Computation, 2017

Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings.
Neural Computation, 2017

Decision-making neural circuits mediating social behaviors - An attractor network model.
Journal of Computational Neuroscience, 2017

A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm.
Front. Comput. Neurosci., 2017

Gradient Descent for Spiking Neural Networks.
CoRR, 2017

An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017

2016
Correlated Percolation, Fractal Structures, and Scale-Invariant Distribution of Clusters in Natural Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015
Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling.
Neural Computation, 2015

Delay Differential Analysis of Time Series.
Neural Computation, 2015

Delay Differential Analysis of Electroencephalographic Data.
Neural Computation, 2015

Cooperativity between remote sites of ectopic spiking allows afterdischarge to be initiated and maintained at different locations.
Journal of Computational Neuroscience, 2015

The Wilson Machine for Image Modeling.
CoRR, 2015

2014
Multi-state Modeling of Biomolecules.
PLoS Computational Biology, 2014

Place Cell Rate Remapping by CA3 Recurrent Collaterals.
PLoS Computational Biology, 2014

Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning.
PLoS Computational Biology, 2014

Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling.
PLoS Computational Biology, 2014

Prospective Optimization.
Proceedings of the IEEE, 2014

Engineering intelligent electronic systems based on computational neuroscience [scanning the issue].
Proceedings of the IEEE, 2014

Regulating Cortical Oscillations in an Inhibition-Stabilized Network.
Proceedings of the IEEE, 2014

VolRoverN: Enhancing Surface and Volumetric Reconstruction for Realistic Dynamical Simulation of Cellular and Subcellular Function.
Neuroinformatics, 2014

On Criticality in High-Dimensional Data.
Neural Computation, 2014

Muscle artifacts in single trial EEG data distinguish patients with Parkinson's disease from healthy individuals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma.
PLoS Computational Biology, 2013

Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches.
Neural Computation, 2013

2012
Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics.
PLoS Computational Biology, 2012

Generalization and Multirate Models of Motor Adaptation.
Neural Computation, 2012

The effect of neural adaptation on population coding accuracy.
Journal of Computational Neuroscience, 2012

Computational models of neuron-astrocyte interaction in epilepsy.
Front. Comput. Neurosci., 2012

A computational model for the modulation of the prepulse inhibition of the acoustic startle reflex.
Biological Cybernetics, 2012

A Berger-Levy energy efficient neuron model with unequal synaptic weights.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Biophysical Neural Spiking, Bursting, and Excitability Dynamics in Reconfigurable Analog VLSI.
IEEE Trans. Biomed. Circuits and Systems, 2011

Choice modulates the neural dynamics of prediction error processing during rewarded learning.
NeuroImage, 2011

Finding the Event Structure of Neuronal Spike Trains.
Neural Computation, 2011

Intracellular Dynamics of Virtual Place Cells.
Neural Computation, 2011

2010
Speech Enhancement Using Gaussian Scale Mixture Models.
IEEE Trans. Audio, Speech & Language Processing, 2010

Shunting Inhibition Controls the Gain Modulation Mediated by Asynchronous Neurotransmitter Release in Early Development.
PLoS Computational Biology, 2010

Modelling Vesicular Release at Hippocampal Synapses.
PLoS Computational Biology, 2010

Representation Sharpening Can Explain Perceptual Priming.
Neural Computation, 2010

Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior.
Neural Computation, 2010

Combining Temporal and Frequency based Prediction for EEG Signals.
Proceedings of the BIOSIGNALS 2010, 2010

2009
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation.
IEEE Trans. Audio, Speech & Language Processing, 2009

The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons.
Journal of Computational Neuroscience, 2009

The Wilson-Cowan model, 36 years later.
Biological Cybernetics, 2009

2008
Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces.
SIAM J. Scientific Computing, 2008

Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation.
PLoS Computational Biology, 2008

Synaptic Learning Rules and Sparse Coding in a Model Sensory System.
PLoS Computational Biology, 2008

Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms.
Neural Computation, 2008

2007
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis.
NeuroImage, 2007

Toward Petascale Simulation of Cellular Microphysiology.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron.
Neural Networks, 2006

Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics.
Neural Computation, 2006

Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis.
Neurocomputing, 2006

2005
A Bayesian Framework for Tilt Perception and Confidence.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks.
Neural Computation, 2004

Synchronization as a mechanism for attentional gain modulation.
Neurocomputing, 2004

Spike count distributions, factorizability, and contextual effects in area V1.
Neurocomputing, 2004

Neural systems integration.
Neurocomputing, 2004

The Virtual Instrument: Support for Grid-Enabled Mcell Simulations.
IJHPCA, 2004

Assignment of Multiplicative Mixtures in Natural Images.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A Large Scale Monte Carlo Simulator for Cellular Microphysiology.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Complex independent component analysis of frequency-domain electroencephalographic data.
Neural Networks, 2003

Dictionary Learning Algorithms for Sparse Representation.
Neural Computation, 2003

Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes.
Neural Computation, 2003

Variational Bayesian Learning of ICA with Missing Data.
Neural Computation, 2003

Reliability and bifurcation in neurons driven by multiple sinusoids.
Neurocomputing, 2003

A new correlation-based measure of spike timing reliability.
Neurocomputing, 2003

Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs.
Neurocomputing, 2003

Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data
CoRR, 2003

Spatially Realistic Computational Physiology: Past, Present and Future.
Proceedings of the Parallel Computing: Software Technology, 2003

2002
Face recognition by independent component analysis.
IEEE Trans. Neural Networks, 2002

Comparison of machine learning and traditional classifiers in glaucoma diagnosis.
IEEE Trans. Biomed. Engineering, 2002

Graphical Models: Foundations of Neural Computation.
Pattern Anal. Appl., 2002

Slow Feature Analysis: Unsupervised Learning of Invariances.
Neural Computation, 2002

Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains.
Neural Computation, 2002

Integrate-and-Fire Neurons Driven by Correlated Stochastic Input.
Neural Computation, 2002

Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components.
Journal of Machine Learning Research, 2002

Spike-time reliability of periodically driven integrate-and-fire neurons.
Neurocomputing, 2002

Scaling a slow-wave sleep cortical network model using NEOSIM.
Neurocomputing, 2002

From single-trial EEG to brain area dynamics.
Neurocomputing, 2002

Spike propagation synchronized by temporally asymmetric Hebbian learning.
Biological Cybernetics, 2002

Factorial Coding of Color in Primary Visual Cortex.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Handling Missing Data with Variational Bayesian Learning of ICA.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A Prototype for Automatic Recognition of Spontaneous Facial Actions.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning.
Neural Computation, 2001

Optimal Smoothing in Visual Motion Perception.
Neural Computation, 2001

Perception of change in depth in the hummingbird hawkmoth Manduca sexta (Sphingidae, Lepidoptera).
Neurocomputing, 2001

Optimal information transfer in synchronized neocortical neurons.
Neurocomputing, 2001

Models of frequency preferences of prefrontal cortical neurons.
Neurocomputing, 2001

An MCell model of calcium dynamics and frequency-dependence of calmodulin activation in dendritic spines.
Neurocomputing, 2001

Computational model of carbachol-induced delta, theta and gamma-like oscillations in hippocampus.
Neurocomputing, 2001

Parallel Fiber Coding in the Cerebellum for Life-Long Learning.
Auton. Robots, 2001

2000
ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Learning Overcomplete Representations.
Neural Computation, 2000

Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A Comparison of Image Processing Techniques for Visual Speech Recognition Applications.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Properties of Independent Components of Self-Motion Optical Flow.
Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logic, 2000

The Spectral Independent Components of Natural Scenes.
Proceedings of the Biologically Motivated Computer Vision, 2000

1999
Blind source separation of more sources than mixtures using overcomplete representations.
IEEE Signal Process. Lett., 1999

Classifying Facial Actions.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Neuronal tuning: To Sharpen or Broaden?
Neural Computation, 1999

Seeing White: Qualia in the Context of Decoding Population Codes.
Neural Computation, 1999

Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources.
Neural Computation, 1999

Relation Between Retinotopical and Orientation Maps in Visual Cortex.
Neural Computation, 1999

Cortical and thalamic components of augmenting responses: A modeling study.
Neurocomputing, 1999

Predictive Sequence Learning in Recurrent Neocortical Circuits.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Image Representations for Facial Expression Coding.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization.
Neural Computation, 1998

Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Unsupervised Classification with Non-Gaussian Mixture Models Using ICA.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Analyzing and Visualizing Single-Trial Event-Related Potentials.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Independent component representations for face recognition.
Proceedings of the Human Vision and Electronic Imaging III, 1998

1997
A Unifying Objective Function for Topographic Mappings.
Neural Computation, 1997

Learning Nonlinear Overcomplete Representations for Efficient Coding.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Extended ICA Removes Artifacts from Electroencephalographic Recordings.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Objective Functions for Neural Map Formation.
Proceedings of the Artificial Neural Networks, 1997

Correlation Coding in Stochastic Neural Networks.
Proceedings of the Artificial Neural Networks, 1997

1996
Exploration Bonuses and Dual Control.
Machine Learning, 1996

Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models.
Journal of Computational Neuroscience, 1996

The Computational Brain.
Artif. Intell., 1996

Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Learning Decision Theoretic Utilities through Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Bayesian Unsupervised Learning of Higher Order Structure.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Selective Integration: A Model for Disparity Estimation.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Dynamic Features for Visual Speechreading: A Systematic Comparison.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Edges are the Independent Components of Natural Scenes.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
A perceptron reveals the face of sex.
Neural Computation, 1995

An information-maximization approach to blind separation and blind deconvolution.
Neural Computation, 1995

Empirical Entropy Manipulation for Real-World Problems.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Tempering Backpropagation Networks: Not All Weights are Created Equal.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

A Model of Spatial Representations in Parietal Cortex Explains Hemineglect.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Independent Component Analysis of Electroencephalographic Data.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Optimizing Cortical Mappings.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

A Dynamical Moedl of Context Dependencies for the Vestibulo-Ocular Reflex.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Classifying Facial Action.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Blind separation and blind deconvolution: an information-theoretic approach.
Proceedings of the 1995 International Conference on Acoustics, 1995

Predictive Hebbian Learning.
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994
An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding.
Neural Computation, 1994

TD(lambda) Converges with Probability 1.
Machine Learning, 1994

Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism.
Journal of Computational Neuroscience, 1994

Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

A Mixture Model System for Medical and Machine Diagnosis.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Plasticity-Mediated Competitive Learning.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Spatial Representations in the Parietal Cortex May Use Basis Functions.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

A Novel Reinforcement Model of Birdsong Vocalization Learning.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

A Non-linear Information Maximisation Algorithm that Performs Blind Separation.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning.
Neural Computation, 1993

Temporal Difference Learning of Position Evaluation in the Game of Go.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Processing of Visual and Auditory Space and Its Modification by Experience.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Foraging in an Uncertain Environment Using Predictive Hebbian Learning.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Filter Selection Model for Generating Visual Motion Signals.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Using Aperiodic Reinforcement for Directed Self-Organization During Development.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

The computational brain.
Computational neuroscience, MIT Press, ISBN: 978-0-262-03188-2, 1992

1991
Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics.
Neural Computation, 1991

Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Competitive Anti-Hebbian Learning of Invariants.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Hierarchical Transformation of Space in the Visual System.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990
A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech.
Neural Computation, 1990

Faster Learning for Dynamic Recurrent Backpropagation.
Neural Computation, 1990

SEXNET: A Neural Network Identifies Sex From Human Faces.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

A dynamical neural network model of sensorimotor transformations in the leech.
Proceedings of the IJCNN 1990, 1990

1989
The Computer and the Brain Revisited.
IEEE Annals of the History of Computing, 1989

A Parallel Network that Learns to Play Backgammon.
Artif. Intell., 1989

Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988
Learned classification of sonar targets using a massively parallel network.
IEEE Trans. Acoustics, Speech, and Signal Processing, 1988

Analysis of hidden units in a layered network trained to classify sonar targets.
Neural Networks, 1988

Storing Covariance by the Associative Long-Term Potentation and Depression of Synaptic Strengths in the Hippocampus.
Proceedings of the Advances in Neural Information Processing Systems 1, 1988

1987
Parallel Networks that Learn to Pronounce English Text.
Complex Systems, 1987

A 'Neural' Network that Learns to Play Backgammon.
Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987

1986
Language Learning in Massively-Parallel Networks.
Proceedings of the 24th Annual Meeting of the Association for Computational Linguistics, 1986

1985
A Learning Algorithm for Boltzmann Machines.
Cognitive Science, 1985

1983
Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines.
Proceedings of the National Conference on Artificial Intelligence, 1983


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