William B. Levy

66 papers B 7Misc 2Journal 51Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Growing dendrites enhance a neuron's computational power and memory capacity. Neural Networks William B. Levy, Robert A. Baxter
2020	J	`jnl`	Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms. Neural Networks Robert A. Baxter, William B. Levy
2019	Misc	`conf`	Multilayered Neural Networks With Sparse, Data-driven Connectivity and Balanced Information and Energy Efficiency. CISS Robert A. Baxter, William B. Levy
2018	J	`jnl`	Linearization of excitatory synaptic integration at no extra cost. J. Comput. Neurosci. Danielle Morel, Chandan Singh, William B. Levy
2017	—	`conf`	Capacity achieving input distribution to the generalized inverse Gaussian neuron model. Allerton Mustafa Sungkar, Toby Berger, William B. Levy
2017	J	`jnl`	Limited synapse overproduction can speed development but sometimes with long-term energy and discrimination penalties. PLoS Comput. Biol. Harang Ju, Costa M. Colbert, William B. Levy
2016	Misc	`conf`	Controlling information flow and energy use via adaptive synaptogenesis. CISS William B. Levy, Harang Ju, Robert A. Baxter, Costa M. Colbert
2016	J	`jnl`	Mutual Information and Parameter Estimation in the Generalized Inverse Gaussian Diffusion Model of Cortical Neurons. IEEE Trans. Mol. Biol. Multi Scale Commun. Mustafa Sungkar, Toby Berger, William B. Levy
2016	J	`jnl`	Neural Computation From First Principles: Using the Maximum Entropy Method to Obtain an Optimal Bits-Per-Joule Neuron. IEEE Trans. Mol. Biol. Multi Scale Commun. William B. Levy, Toby Berger, Mustafa Sungkar
2015	J	`jnl`	Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination. PLoS Comput. Biol. Blake T. Thomas, Davis W. Blalock, William B. Levy
2015	J	`jnl`	Energy Efficient Neurons With Generalized Inverse Gaussian Conditional and Marginal Hitting Times. IEEE Trans. Inf. Theory Jie Xing, Toby Berger, Mustafa Sungkar, William B. Levy
2012	B	`conf`	Design principles and specifications for neural-like computation under constraints on information preservation and energy costs as analyzed with statistical theory. ISIT William B. Levy, Toby Berger
2011	—	`conf`	Energy efficient neurons with generalized inverse Gaussian interspike interval durations. Allerton Toby Berger, William B. Levy, Jie Xing
2010	J	`jnl`	A mathematical theory of energy efficient neural computation and communication. IEEE Trans. Inf. Theory Toby Berger, William B. Levy
2009	B	`conf`	Information transfer by energy-efficient neurons. ISIT Toby Berger, William B. Levy
2009	B	`conf`	Progressively introducing quantified biological complexity into a hippocampal CA3 model. IJCNN William B. Levy, Kai S. Chang, Andrew G. Howe
2009	J	`jnl`	The cost of linearization. J. Comput. Neurosci. Danielle Morel, William B. Levy
2007	J	`jnl`	Effects of Na Neurocomputing Patrick Crotty, William B. Levy
2007	J	`jnl`	Persistent sodium is a better linearizing mechanism than the hyperpolarization-activated current. Neurocomputing Danielle Morel, William B. Levy
2007	J	`jnl`	Theta-modulated input reduces intrinsic gamma oscillations in a hippocampal model. Neurocomputing Ashlie B. Hocking, William B. Levy
2006	B	`conf`	A Bayesian Constraint on Neural Computation. ISIT William B. Levy, Danielle Morel
2006	J	`jnl`	Decision functions that can support a hippocampal model. Neurocomputing Xiangbao Wu, William B. Levy
2006	J	`jnl`	Erratum to: Interpreting hippocampal function as recoding and forecasting [Neural Networks 18 (9) 1242-1264]. Neural Networks William B. Levy, Ashlie B. Hocking, Xiangbao Wu
2006	J	`jnl`	External activity and the freedom to recode. Neurocomputing William B. Levy, Xiangbao Wu
2006	J	`jnl`	Gamma oscillations in a minimal CA3 model. Neurocomputing Ashlie B. Hocking, William B. Levy
2006	J	`jnl`	Intersymbol interference in axonal transmission. Neurocomputing Patrick Crotty, William B. Levy
2005	J	`jnl`	Activity affects trace conditioning performance in a minimal hippocampal model. Neurocomputing David W. Sullivan, William B. Levy
2005	J	`jnl`	Computing conditional probabilities in a minimal CA3 pyramidal neuron. Neurocomputing Ashlie B. Hocking, William B. Levy
2005	J	`jnl`	Conduction velocity costs energy. Neurocomputing Thomas Sangrey, William B. Levy
2005	J	`jnl`	Energy-efficient interspike interval codes. Neurocomputing Patrick Crotty, William B. Levy
2005	J	`jnl`	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]. Neurocomputing Xiangbao Wu, William B. Levy
2005	J	`jnl`	Increasing CS and US longevity increases the learnable trace interval. Neurocomputing Xiangbao Wu, William B. Levy
2005	J	`jnl`	Interpreting hippocampal function as recoding and forecasting. Neural Networks William B. Levy, Ashlie B. Hocking, Xiangbao Wu
2005	J	`jnl`	Synaptic failures and a Gaussian excitation distribution. Neurocomputing Joanna Tyrcha, William B. Levy
2005	J	`jnl`	The formation of neural codes in the hippocampus: trace conditioning as a prototypical paradigm for studying the random recoding hypothesis. Biol. Cybern. William B. Levy, A. Sanyal, Xiangbao Wu, Paul Rodríguez, David W. Sullivan
2004	J	`jnl`	Another contribution by synaptic failures to energy efficient processing by neurons. Neurocomputing Joanna Tyrcha, William B. Levy
2004	J	`jnl`	Configural representations in transverse patterning with a hippocampal model. Neural Networks Paul Rodríguez, William B. Levy
2004	J	`jnl`	Contrasting rules for synaptogenesis, modification of existing synapses, and synaptic removal as a function of neuronal computation. Neurocomputing William B. Levy
2003	J	`jnl`	A source of individual variation. Neurocomputing William B. Levy, Xiangbao Wu, Anthony J. Greene, Barbara A. Spellman
2003	J	`jnl`	Quantal synaptic failures improve performance in a sequence learning model of hippocampal CA3. Neurocomputing David W. Sullivan, William B. Levy
2003	B	`conf`	Some dynamics arising from learning in a hippocampal model. IJCNN William B. Levy
2003	B	`conf`	Synaptic modification of interneuron afferents in a hippocampal CA3 model prevents activity oscillations. IJCNN David W. Sullivan, William B. Levy
2003	B	`conf`	T-maze training of a recurrent CA3 model reveals the necessity of novelty-based modulation of LTP in hippocampal region CA3. IJCNN Joseph D. Monaco, William B. Levy
2002	J	`jnl`	Simulating the transverse non-patterning problem. Neurocomputing Xiangbao Wu, William B. Levy
2001	J	`jnl`	Dynamic control of inhibition improves performance of a hippocampal model. Neurocomputing Sean Polyn, William B. Levy
2001	J	`jnl`	Simulating symbolic distance effects in the transitive inference problem. Neurocomputing Xiangbao Wu, William B. Levy
2000	J	`jnl`	Entorhinal/dentate excitation of CA3: A critical variable in hippocampal models. Neurocomputing Sean Polyn, Xiangbao Wu, William B. Levy
2000	J	`jnl`	Using computational simulations to discover optimal training paradigms. Neurocomputing Aaron P. Shon, Xiangbao Wu, William B. Levy
1999	J	`jnl`	Enhancing the performance of a hippocampal model by increasing variability early in learning. Neurocomputing Xiangbao Wu, William B. Levy
1999	J	`jnl`	Temporal Sequence Compression by an Integrate-and-Fire Model of Hippocampal Area CA3. J. Comput. Neurosci. D. A. August, William B. Levy
1999	J	`jnl`	The statistical relationship between connectivity and neural activity in fractionally connected feed-forward networks. Biol. Cybern. William B. Levy, Hakan Deliç, Dawn M. Adelsberger-Mangan
1998	J	`jnl`	A neural network solution to the transverse patterning problem depends on repetition of the input code. Biol. Cybern. Xiangbao Wu, Joanna Tyrcha, William B. Levy
1998	J	`jnl`	Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model. Neural Comput. Asohan Amarasingham, William B. Levy
1997	—	`conf`	A neural network model of hippocampally mediated trace conditioning. ICNN William B. Levy, Per B. Sederberg
1997	—	`conf`	A simple, biologically motivated neural network solves the transitive inference problem. ICNN William B. Levy, Xiangbao Wu
1996	J	`jnl`	A simple spike train decoder inspired by the sampling theorem. Neural Comput. D. A. August, William B. Levy
1996	J	`jnl`	Context codes and the effect of noisy learning on a simplified hippocampal CA3 model. Biol. Cybern. Xiangbao Wu, Robert A. Baxter, William B. Levy
1996	J	`jnl`	Energy efficient neural codes. Neural Comput. William B. Levy, Rohan A. Baxter
1994	J	`jnl`	Maximum entropy aggregation of individual opinions. IEEE Trans. Syst. Man Cybern. William B. Levy, Hakan Deliç
1994	J	`jnl`	Setting the Activity Level in Sparse Random Networks. Neural Comput. Ali A. Minai, William B. Levy
1994	J	`jnl`	The influence of limited presynaptic growth and synapse removal on adaptive synaptogenesis. Biol. Cybern. Dawn M. Adelsberger-Mangan, William B. Levy
1993	J	`jnl`	Adaptive synaptogenesis constructs networks that maintain information and reduce statistical dependence. Biol. Cybern. Dawn M. Adelsberger-Mangan, William B. Levy
1993	J	`jnl`	The dynamics of sparse random networks. Biol. Cybern. Ali A. Minai, William B. Levy
1992	J	`jnl`	Information maintenance and statistical dependence reduction in simple neural networks. Biol. Cybern. Dawn M. Adelsberger-Mangan, William B. Levy
1992	—	`conf`	Predicting Complex Behavior in Sparse Asymmetric Networks. NIPS Ali A. Minai, William B. Levy
1988	—	`conf`	Determination of parameters in a Hopfield/Tank computational network. ICNN Shailesh U. Hegde, Jeffrey L. Swee, William B. Levy