Determination of parameters in a Hopfield/Tank computational network. - Shailesh U. Hegde; Jeffrey L. Swee; William B. Levy (ICNN, 1988)

Predicting Complex Behavior in Sparse Asymmetric Networks. - Ali A. Minai; William B. Levy (NIPS, 1992)

Information maintenance and statistical dependence reduction in simple neural networks. - Dawn M. Adelsberger-Mangan; William B. Levy (Biol. Cybern., 1992)

Adaptive synaptogenesis constructs networks that maintain information and reduce statistical dependence. - Dawn M. Adelsberger-Mangan; William B. Levy (Biol. Cybern., 1993)

The dynamics of sparse random networks. - Ali A. Minai; William B. Levy (Biol. Cybern., 1993)

The influence of limited presynaptic growth and synapse removal on adaptive synaptogenesis. - Dawn M. Adelsberger-Mangan; William B. Levy (Biol. Cybern., 1994)

Setting the Activity Level in Sparse Random Networks. - Ali A. Minai; William B. Levy (Neural Comput., 1994)

Maximum entropy aggregation of individual opinions. - William B. Levy; Hakan Deliç (IEEE Trans. Syst. Man Cybern., 1994)

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)

A simple spike train decoder inspired by the sampling theorem. - D. A. August; William B. Levy (Neural Comput., 1996)

Energy efficient neural codes. - William B. Levy; Rohan A. Baxter (Neural Comput., 1996)

A neural network model of hippocampally mediated trace conditioning. - William B. Levy; Per B. Sederberg (ICNN, 1997)

A simple, biologically motivated neural network solves the transitive inference problem. - William B. Levy; Xiangbao Wu (ICNN, 1997)

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)

Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model. - Asohan Amarasingham; William B. Levy (Neural Comput., 1998)

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)

Enhancing the performance of a hippocampal model by increasing variability early in learning. - Xiangbao Wu; William B. Levy (Neurocomputing, 1999)

Temporal Sequence Compression by an Integrate-and-Fire Model of Hippocampal Area CA3. - D. A. August; William B. Levy (J. Comput. Neurosci., 1999)

Entorhinal/dentate excitation of CA3: A critical variable in hippocampal models. - Sean Polyn; Xiangbao Wu; William B. Levy (Neurocomputing, 2000)

Using computational simulations to discover optimal training paradigms. - Aaron P. Shon; Xiangbao Wu; William B. Levy (Neurocomputing, 2000)

Dynamic control of inhibition improves performance of a hippocampal model. - Sean Polyn; William B. Levy (Neurocomputing, 2001)

Simulating symbolic distance effects in the transitive inference problem. - Xiangbao Wu; William B. Levy (Neurocomputing, 2001)

Simulating the transverse non-patterning problem. - Xiangbao Wu; William B. Levy (Neurocomputing, 2002)

Some dynamics arising from learning in a hippocampal model. - William B. Levy (IJCNN, 2003)

T-maze training of a recurrent CA3 model reveals the necessity of novelty-based modulation of LTP in hippocampal region CA3. - Joseph D. Monaco; William B. Levy (IJCNN, 2003)

Synaptic modification of interneuron afferents in a hippocampal CA3 model prevents activity oscillations. - David W. Sullivan; William B. Levy (IJCNN, 2003)

A source of individual variation. - William B. Levy; Xiangbao Wu; Anthony J. Greene; Barbara A. Spellman (Neurocomputing, 2003)

Quantal synaptic failures improve performance in a sequence learning model of hippocampal CA3. - David W. Sullivan; William B. Levy (Neurocomputing, 2003)

Contrasting rules for synaptogenesis, modification of existing synapses, and synaptic removal as a function of neuronal computation. - William B. Levy (Neurocomputing, 2004)

Another contribution by synaptic failures to energy efficient processing by neurons. - Joanna Tyrcha; William B. Levy (Neurocomputing, 2004)

Configural representations in transverse patterning with a hippocampal model. - Paul Rodríguez; William B. Levy (Neural Networks, 2004)

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)

Energy-efficient interspike interval codes. - Patrick Crotty; William B. Levy (Neurocomputing, 2005)

Computing conditional probabilities in a minimal CA3 pyramidal neuron. - Ashlie B. Hocking; William B. Levy (Neurocomputing, 2005)

Conduction velocity costs energy. - Thomas Sangrey; William B. Levy (Neurocomputing, 2005)

Activity affects trace conditioning performance in a minimal hippocampal model. - David W. Sullivan; William B. Levy (Neurocomputing, 2005)

Synaptic failures and a Gaussian excitation distribution. - Joanna Tyrcha; 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)

Increasing CS and US longevity increases the learnable trace interval. - Xiangbao Wu; William B. Levy (Neurocomputing, 2005)

Interpreting hippocampal function as recoding and forecasting. - William B. Levy; Ashlie B. Hocking; Xiangbao Wu (Neural Networks, 2005)

A Bayesian Constraint on Neural Computation. - William B. Levy; Danielle Morel (ISIT, 2006)

Intersymbol interference in axonal transmission. - Patrick Crotty; William B. Levy (Neurocomputing, 2006)

Gamma oscillations in a minimal CA3 model. - Ashlie B. Hocking; William B. Levy (Neurocomputing, 2006)

External activity and the freedom to recode. - William B. Levy; Xiangbao Wu (Neurocomputing, 2006)

Decision functions that can support a hippocampal model. - Xiangbao Wu; William B. Levy (Neurocomputing, 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)

Effects of Na+ channel inactivation kinetics on metabolic energy costs of action potentials. - Patrick Crotty; William B. Levy (Neurocomputing, 2007)

Theta-modulated input reduces intrinsic gamma oscillations in a hippocampal model. - Ashlie B. Hocking; William B. Levy (Neurocomputing, 2007)

Persistent sodium is a better linearizing mechanism than the hyperpolarization-activated current. - Danielle Morel; William B. Levy (Neurocomputing, 2007)

Progressively introducing quantified biological complexity into a hippocampal CA3 model. - William B. Levy; Kai S. Chang; Andrew G. Howe (IJCNN, 2009)

Information transfer by energy-efficient neurons. - Toby Berger; William B. Levy (ISIT, 2009)

The cost of linearization. - Danielle Morel; William B. Levy (J. Comput. Neurosci., 2009)

A mathematical theory of energy efficient neural computation and communication. - Toby Berger; William B. Levy (IEEE Trans. Inf. Theory, 2010)

Energy efficient neurons with generalized inverse Gaussian interspike interval durations. - Toby Berger; William B. Levy; Jie Xing (Allerton, 2011)

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 (ISIT, 2012)

Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination. - Blake T. Thomas; Davis W. Blalock; William B. Levy (PLoS Comput. Biol., 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)

Controlling information flow and energy use via adaptive synaptogenesis. - William B. Levy; Harang Ju; Robert A. Baxter; Costa M. Colbert (CISS, 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)

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)

Capacity achieving input distribution to the generalized inverse Gaussian neuron model. - Mustafa Sungkar; Toby Berger; William B. Levy (Allerton, 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)

Linearization of excitatory synaptic integration at no extra cost. - Danielle Morel; Chandan Singh; William B. Levy (J. Comput. Neurosci., 2018)

Multilayered Neural Networks With Sparse, Data-driven Connectivity and Balanced Information and Energy Efficiency. - Robert A. Baxter; William B. Levy (CISS, 2019)

Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms. - Robert A. Baxter; William B. Levy (Neural Networks, 2020)

Growing dendrites enhance a neuron's computational power and memory capacity. - William B. Levy; Robert A. Baxter (Neural Networks, 2023)