Terrence J. Sejnowski

Orcid: 0000-0002-0622-7391

Affiliations:
  • University of California, San Diego, USA


According to our database1, Terrence J. Sejnowski authored at least 232 papers between 1954 and 2024.

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Bibliography

2024
Synaptic Information Storage Capacity Measured With Information Theory.
Neural Comput., May, 2024

MCell4 with BioNetGen: A Monte Carlo simulator of rule-based reaction-diffusion systems with Python interface.
PLoS Comput. Biol., 2024

A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems.
CoRR, 2024

Transformers and Cortical Waves: Encoders for Pulling In Context Across Time.
CoRR, 2024

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Traveling Waves Encode The Recent Past and Enhance Sequence Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Exploring strategy differences between humans and monkeys with recurrent neural networks.
PLoS Comput. Biol., November, 2023

Large Language Models and the Reverse Turing Test.
Neural Comput., March, 2023

Temporally Layered Architecture for Efficient Continuous Control.
CoRR, 2023

General Sequential Episodic Memory Model.
Proceedings of the International Conference on Machine Learning, 2023

Temporally Layered Architecture for Adaptive, Distributed and Continuous Control.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing.
IEEE Trans. Affect. Comput., 2022

Multiscale modeling of presynaptic dynamics from molecular to mesoscale.
PLoS Comput. Biol., 2022

Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell., 2022

Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit.
CoRR, 2022

Why internal feedback is necessary in the perception-action loop.
CoRR, 2022

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.
CoRR, 2022

Internal Feedback in Biological Control: Architectures and Examples.
Proceedings of the American Control Conference, 2022

2021
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research.
Neural Networks, 2021

Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models.
Neural Comput., 2021

Replay in Deep Learning: Current Approaches and Missing Biological Elements.
Neural Comput., 2021

Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory.
CoRR, 2021

Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics.
CoRR, 2021

Horace Barlow: a vision scientist for the ages.
Biol. Cybern., 2021

2020
The unreasonable effectiveness of deep learning in artificial intelligence.
Proc. Natl. Acad. Sci. USA, 2020

Interactions between calmodulin and neurogranin govern the dynamics of CaMKII as a leaky integrator.
PLoS Comput. Biol., 2020

Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI.
Neural Comput., 2020

Heterogeneity of Preictal Dynamics in Human Epileptic Seizures.
IEEE Access, 2020

Dynamic Interrogation of Stochastic Transcriptome Trajectories (DIST<sup>2</sup>).
Proceedings of the Information Theory and Applications Workshop, 2020

Multimodal classification of Parkinson's disease using delay differential analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications.
IEEE Trans. Biomed. Eng., 2019

A multi-state model of the CaMKII dodecamer suggests a role for calmodulin in maintenance of autophosphorylation.
PLoS Comput. Biol., 2019

Characterizing Brain Connectivity From Human Electrocorticography Recordings With Unobserved Inputs During Epileptic Seizures.
Neural Comput., 2019

Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control.
CoRR, 2019

Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control.
CoRR, 2019

Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions.
CoRR, 2019

Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control.
Proceedings of the 2019 American Control Conference, 2019

2018
Thalamocortical and intracortical laminar connectivity determines sleep spindle properties.
PLoS Comput. Biol., 2018

Glider soaring via reinforcement learning in the field.
Nat., 2018

Gradient Descent for Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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 Comput., 2017

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

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

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

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

Decision-making neural circuits mediating social behaviors - An attractor network model.
J. Comput. Neurosci., 2017

A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm.
Frontiers Comput. Neurosci., 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 Comput., 2015

Delay Differential Analysis of Time Series.
Neural Comput., 2015

Delay Differential Analysis of Electroencephalographic Data.
Neural Comput., 2015

Cooperativity between remote sites of ectopic spiking allows afterdischarge to be initiated and maintained at different locations.
J. Comput. Neurosci., 2015

The Wilson Machine for Image Modeling.
CoRR, 2015

2014
Multi-state Modeling of Biomolecules.
PLoS Comput. Biol., 2014

Place Cell Rate Remapping by CA3 Recurrent Collaterals.
PLoS Comput. Biol., 2014

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

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

Prospective Optimization.
Proc. IEEE, 2014

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

Regulating Cortical Oscillations in an Inhibition-Stabilized Network.
Proc. 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 Comput., 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
Hierarchical model of natural images and the origin of scale invariance.
Proc. Natl. Acad. Sci. USA, 2013

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

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

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

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

The effect of neural adaptation on population coding accuracy.
J. Comput. Neurosci., 2012

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

A computational model for the modulation of the prepulse inhibition of the acoustic startle reflex.
Biol. Cybern., 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 Syst., 2011

Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation.
Proc. Natl. Acad. Sci. USA, 2011

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

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

Intracellular Dynamics of Virtual Place Cells.
Neural Comput., 2011

2010
Speech Enhancement Using Gaussian Scale Mixture Models.
IEEE Trans. Speech Audio Process., 2010

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

Modelling Vesicular Release at Hippocampal Synapses.
PLoS Comput. Biol., 2010

Representation Sharpening Can Explain Perceptual Priming.
Neural Comput., 2010

Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior.
Neural Comput., 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. Speech Audio Process., 2009

The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons.
J. Comput. Neurosci., 2009

The Wilson-Cowan model, 36 years later.
Biol. Cybern., 2009

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

Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation.
PLoS Comput. Biol., 2008

Synaptic Learning Rules and Sparse Coding in a Model Sensory System.
PLoS Comput. Biol., 2008

Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms.
Neural Comput., 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 Comput., 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 Comput., 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.
Int. J. High Perform. Comput. Appl., 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 Comput., 2003

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

Variational Bayesian Learning of ICA with Missing Data.
Neural Comput., 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

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. Eng., 2002

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

Single-Trial Variability in Event-Related BOLD Signals.
NeuroImage, 2002

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

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

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

Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components.
J. Mach. Learn. Res., 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.
Biol. Cybern., 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
Imaging brain dynamics using independent component analysis.
Proc. IEEE, 2001

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

Optimal Smoothing in Visual Motion Perception.
Neural Comput., 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 Comput., 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 Comput., 1999

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

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

Relation Between Retinotopical and Orientation Maps in Visual Cortex.
Neural Comput., 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 Comput., 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
Estimating alertness from the EEG power spectrum.
IEEE Trans. Biomed. Eng., 1997

A Unifying Objective Function for Topographic Mappings.
Neural Comput., 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 Topography: A Comparison of Optimal Maps.
Proceedings of the Connectionist Representations: 4th Neural Computation and Psychology Workshop, 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.
Mach. Learn., 1996

Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models.
J. Comput. Neurosci., 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 Comput., 1995

An information-maximization approach to blind separation and blind deconvolution.
Neural Comput., 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 Comput., 1994

TD(lambda) Converges with Probability 1.
Mach. Learn., 1994

Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism.
J. Comput. Neurosci., 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 Comput., 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 Comput., 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
Neural network models of sensory integration for improved vowel recognition.
Proc. IEEE, 1990

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

Faster Learning for Dynamic Recurrent Backpropagation.
Neural Comput., 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
Integration of acoustic and visual speech signals using neural networks.
IEEE Commun. Mag., 1989

The Computer and the Brain Revisited.
IEEE Ann. Hist. Comput., 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. Acoust. Speech Signal Process., 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 Syst., 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.
Cogn. Sci., 1985

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

1954
Connectionist Bench (Nettalk Corpus).
Dataset, October, 1954


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