William B. Levy

According to our database, William B. Levy authored at least 63 papers between 1988 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Growing dendrites enhance a neuron's computational power and memory capacity.

William B. Levy, Robert A. Baxter

Neural Networks, July, 2023

2020

Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms.

Robert A. Baxter, William B. Levy

Neural Networks, 2020

2019

Multilayered Neural Networks With Sparse, Data-driven Connectivity and Balanced Information and Energy Efficiency.

Robert A. Baxter, William B. Levy

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018

Linearization of excitatory synaptic integration at no extra cost.

Danielle Morel, Chandan Singh, William B. Levy

J. Comput. Neurosci., 2018

2017

Limited synapse overproduction can speed development but sometimes with long-term energy and discrimination penalties.

Harang Ju, Costa M. Colbert, William B. Levy

PLoS Comput. Biol., 2017

Capacity achieving input distribution to the generalized inverse Gaussian neuron model.

Mustafa Sungkar, Toby Berger, William B. Levy

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Mutual Information and Parameter Estimation in the Generalized Inverse Gaussian Diffusion Model of Cortical Neurons.

Mustafa Sungkar, Toby Berger, William B. Levy

IEEE Trans. Mol. Biol. Multi Scale Commun., 2016

Neural Computation From First Principles: Using the Maximum Entropy Method to Obtain an Optimal Bits-Per-Joule Neuron.

William B. Levy, Toby Berger, Mustafa Sungkar

IEEE Trans. Mol. Biol. Multi Scale Commun., 2016

Controlling information flow and energy use via adaptive synaptogenesis.

William B. Levy, Harang Ju, Robert A. Baxter, Costa M. Colbert

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015

Energy Efficient Neurons With Generalized Inverse Gaussian Conditional and Marginal Hitting Times.

Jie Xing, Toby Berger, Mustafa Sungkar, William B. Levy

IEEE Trans. Inf. Theory, 2015

Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination.

Blake T. Thomas, Davis W. Blalock, William B. Levy

PLoS Comput. Biol., 2015

2012

Design principles and specifications for neural-like computation under constraints on information preservation and energy costs as analyzed with statistical theory.

William B. Levy, Toby Berger

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

Energy efficient neurons with generalized inverse Gaussian interspike interval durations.

Toby Berger, William B. Levy, Jie Xing

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

A mathematical theory of energy efficient neural computation and communication.

Toby Berger, William B. Levy

IEEE Trans. Inf. Theory, 2010

2009

The cost of linearization.

Danielle Morel, William B. Levy

J. Comput. Neurosci., 2009

Information transfer by energy-efficient neurons.

Toby Berger, William B. Levy

Proceedings of the IEEE International Symposium on Information Theory, 2009

Progressively introducing quantified biological complexity into a hippocampal CA3 model.

William B. Levy, Kai S. Chang, Andrew G. Howe

Proceedings of the International Joint Conference on Neural Networks, 2009

2007

Persistent sodium is a better linearizing mechanism than the hyperpolarization-activated current.

Danielle Morel, William B. Levy

Neurocomputing, 2007

Theta-modulated input reduces intrinsic gamma oscillations in a hippocampal model.

Ashlie B. Hocking, William B. Levy

Neurocomputing, 2007

Effects of Na⁺ channel inactivation kinetics on metabolic energy costs of action potentials.

Patrick Crotty, William B. Levy

Neurocomputing, 2007

2006

Erratum to: Interpreting hippocampal function as recoding and forecasting [Neural Networks 18 (9) 1242-1264].

William B. Levy, Ashlie B. Hocking, Xiangbao Wu

Neural Networks, 2006

Decision functions that can support a hippocampal model.

Xiangbao Wu, William B. Levy

Neurocomputing, 2006

External activity and the freedom to recode.

William B. Levy, Xiangbao Wu

Neurocomputing, 2006

Gamma oscillations in a minimal CA3 model.

Ashlie B. Hocking, William B. Levy

Neurocomputing, 2006

Intersymbol interference in axonal transmission.

Patrick Crotty, William B. Levy

Neurocomputing, 2006

A Bayesian Constraint on Neural Computation.

William B. Levy, Danielle Morel

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

2005

Interpreting hippocampal function as recoding and forecasting.

William B. Levy, Ashlie B. Hocking, Xiangbao Wu

Neural Networks, 2005

Increasing CS and US longevity increases the learnable trace interval.

Xiangbao Wu, William B. Levy

Neurocomputing, 2005

Erratum to 'Increasing CS and US longevity increases the learnable trace interval' by X. Wu and W.B. Levy: [Neurocomputing 65-66 (2005) 283-289].

Xiangbao Wu, William B. Levy

Neurocomputing, 2005

Synaptic failures and a Gaussian excitation distribution.

Joanna Tyrcha, William B. Levy

Neurocomputing, 2005

Activity affects trace conditioning performance in a minimal hippocampal model.

David W. Sullivan, William B. Levy

Neurocomputing, 2005

Conduction velocity costs energy.

Thomas Sangrey, William B. Levy

Neurocomputing, 2005

Computing conditional probabilities in a minimal CA3 pyramidal neuron.

Ashlie B. Hocking, William B. Levy

Neurocomputing, 2005

Energy-efficient interspike interval codes.

Patrick Crotty, William B. Levy

Neurocomputing, 2005

The formation of neural codes in the hippocampus: trace conditioning as a prototypical paradigm for studying the random recoding hypothesis.

William B. Levy, A. Sanyal, Xiangbao Wu, Paul Rodríguez, David W. Sullivan

Biol. Cybern., 2005

2004

Configural representations in transverse patterning with a hippocampal model.

Paul Rodríguez, William B. Levy

Neural Networks, 2004

Another contribution by synaptic failures to energy efficient processing by neurons.

Joanna Tyrcha, William B. Levy

Neurocomputing, 2004

Contrasting rules for synaptogenesis, modification of existing synapses, and synaptic removal as a function of neuronal computation.

William B. Levy

Neurocomputing, 2004

2003

Quantal synaptic failures improve performance in a sequence learning model of hippocampal CA3.

David W. Sullivan, William B. Levy

Neurocomputing, 2003

A source of individual variation.

William B. Levy, Xiangbao Wu, Anthony J. Greene, Barbara A. Spellman

Neurocomputing, 2003

2002

Simulating the transverse non-patterning problem.

Xiangbao Wu, William B. Levy

Neurocomputing, 2002

2001

Simulating symbolic distance effects in the transitive inference problem.

Xiangbao Wu, William B. Levy

Neurocomputing, 2001

Dynamic control of inhibition improves performance of a hippocampal model.

Sean Polyn, William B. Levy

Neurocomputing, 2001

2000

Using computational simulations to discover optimal training paradigms.

Aaron P. Shon, Xiangbao Wu, William B. Levy

Neurocomputing, 2000

Entorhinal/dentate excitation of CA3: A critical variable in hippocampal models.

Sean Polyn, Xiangbao Wu, William B. Levy

Neurocomputing, 2000

1999

Temporal Sequence Compression by an Integrate-and-Fire Model of Hippocampal Area CA3.

D. A. August, William B. Levy

J. Comput. Neurosci., 1999

Enhancing the performance of a hippocampal model by increasing variability early in learning.

Xiangbao Wu, William B. Levy

Neurocomputing, 1999

The statistical relationship between connectivity and neural activity in fractionally connected feed-forward networks.

William B. Levy, Hakan Deliç, Dawn M. Adelsberger-Mangan

Biol. Cybern., 1999

1998

Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model.

Asohan Amarasingham, William B. Levy

Neural Comput., 1998

A neural network solution to the transverse patterning problem depends on repetition of the input code.

Xiangbao Wu, Joanna Tyrcha, William B. Levy

Biol. Cybern., 1998

1997

A simple, biologically motivated neural network solves the transitive inference problem.

William B. Levy, Xiangbao Wu

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

A neural network model of hippocampally mediated trace conditioning.

William B. Levy, Per B. Sederberg

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Energy efficient neural codes.

William B. Levy, Rohan A. Baxter

Neural Comput., 1996

A simple spike train decoder inspired by the sampling theorem.

D. A. August, William B. Levy

Neural Comput., 1996

Context codes and the effect of noisy learning on a simplified hippocampal CA3 model.

Xiangbao Wu, Robert A. Baxter, William B. Levy

Biol. Cybern., 1996

1994

Maximum entropy aggregation of individual opinions.

William B. Levy, Hakan Deliç

IEEE Trans. Syst. Man Cybern., 1994

Setting the Activity Level in Sparse Random Networks.

Ali A. Minai, William B. Levy

Neural Comput., 1994

The influence of limited presynaptic growth and synapse removal on adaptive synaptogenesis.

Dawn M. Adelsberger-Mangan, William B. Levy

Biol. Cybern., 1994

1993

The dynamics of sparse random networks.

Ali A. Minai, William B. Levy

Biol. Cybern., 1993

Adaptive synaptogenesis constructs networks that maintain information and reduce statistical dependence.

Dawn M. Adelsberger-Mangan, William B. Levy

Biol. Cybern., 1993

1992

Information maintenance and statistical dependence reduction in simple neural networks.

Dawn M. Adelsberger-Mangan, William B. Levy

Biol. Cybern., 1992

Predicting Complex Behavior in Sparse Asymmetric Networks.

Ali A. Minai, William B. Levy

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1988

Determination of parameters in a Hopfield/Tank computational network.

Shailesh U. Hegde, Jeffrey L. Swee, William B. Levy

Proceedings of International Conference on Neural Networks (ICNN'88), 1988