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ORCIDWilliam B. Levy
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2020 – today
- 2023
[j51]William B. Levy
, Robert A. Baxter:
Growing dendrites enhance a neuron's computational power and memory capacity. Neural Networks 164: 275-309 (2023)- 2020
- [j50]Robert A. Baxter, William B. Levy:
Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms. Neural Networks 122: 68-93 (2020)
2010 – 2019
- 2019
- [c12]Robert A. Baxter, William B. Levy:
Multilayered Neural Networks With Sparse, Data-driven Connectivity and Balanced Information and Energy Efficiency. CISS 2019: 1-6 - 2018
- [j49]Danielle Morel, Chandan Singh, William B. Levy:
Linearization of excitatory synaptic integration at no extra cost. J. Comput. Neurosci. 44(2): 173-188 (2018) - 2017
- [j48]Harang Ju, Costa M. Colbert, William B. Levy:
Limited synapse overproduction can speed development but sometimes with long-term energy and discrimination penalties. PLoS Comput. Biol. 13(9) (2017) - [c11]Mustafa Sungkar, Toby Berger, William B. Levy:
Capacity achieving input distribution to the generalized inverse Gaussian neuron model. Allerton 2017: 860-869 - 2016
- [j47]William B. Levy, Toby Berger, Mustafa Sungkar:
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. 2(2): 154-165 (2016) - [j46]Mustafa Sungkar, Toby Berger, William B. Levy:
Mutual Information and Parameter Estimation in the Generalized Inverse Gaussian Diffusion Model of Cortical Neurons. IEEE Trans. Mol. Biol. Multi Scale Commun. 2(2): 166-182 (2016) - [c10]William B. Levy, Harang Ju, Robert A. Baxter, Costa M. Colbert:
Controlling information flow and energy use via adaptive synaptogenesis. CISS 2016: 535-538 - 2015
- [j45]Blake T. Thomas, Davis W. Blalock, William B. Levy:
Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination. PLoS Comput. Biol. 11(7) (2015) - [j44]Jie Xing, Toby Berger, Mustafa Sungkar, William B. Levy:
Energy Efficient Neurons With Generalized Inverse Gaussian Conditional and Marginal Hitting Times. IEEE Trans. Inf. Theory 61(8): 4390-4398 (2015) - 2012
- [c9]William B. Levy, Toby Berger:
Design principles and specifications for neural-like computation under constraints on information preservation and energy costs as analyzed with statistical theory. ISIT 2012: 2969-2972 - 2011
- [c8]Toby Berger, William B. Levy, Jie Xing:
Energy efficient neurons with generalized inverse Gaussian interspike interval durations. Allerton 2011: 1737-1742 - 2010
- [j43]Toby Berger, William B. Levy:
A mathematical theory of energy efficient neural computation and communication. IEEE Trans. Inf. Theory 56(2): 852-874 (2010)
2000 – 2009
- 2009
- [j42]Danielle Morel, William B. Levy:
The cost of linearization. J. Comput. Neurosci. 27(2): 259-275 (2009) - [c7]William B. Levy, Kai S. Chang, Andrew G. Howe:
Progressively introducing quantified biological complexity into a hippocampal CA3 model. IJCNN 2009: 1777-1783 - [c6]Toby Berger, William B. Levy:
Information transfer by energy-efficient neurons. ISIT 2009: 1584-1588 - 2007
- [j41]Danielle Morel, William B. Levy:
Persistent sodium is a better linearizing mechanism than the hyperpolarization-activated current. Neurocomputing 70(10-12): 1635-1639 (2007) - [j40]Patrick Crotty, William B. Levy:
Effects of Na+ channel inactivation kinetics on metabolic energy costs of action potentials. Neurocomputing 70(10-12): 1652-1656 (2007) - [j39]Ashlie B. Hocking, William B. Levy:
Theta-modulated input reduces intrinsic gamma oscillations in a hippocampal model. Neurocomputing 70(10-12): 2074-2078 (2007) - 2006
- [j38]Patrick Crotty, William B. Levy:
Intersymbol interference in axonal transmission. Neurocomputing 69(10-12): 1006-1009 (2006) - [j37]William B. Levy, Xiangbao Wu:
External activity and the freedom to recode. Neurocomputing 69(10-12): 1233-1237 (2006) - [j36]Xiangbao Wu, William B. Levy:
Decision functions that can support a hippocampal model. Neurocomputing 69(10-12): 1238-1243 (2006) - [j35]Ashlie B. Hocking, William B. Levy:
Gamma oscillations in a minimal CA3 model. Neurocomputing 69(10-12): 1244-1248 (2006) - [j34]William B. Levy, Ashlie B. Hocking, Xiangbao Wu:
Erratum to: Interpreting hippocampal function as recoding and forecasting [Neural Networks 18 (9) 1242-1264]. Neural Networks 19(2): 248 (2006) - [c5]William B. Levy, Danielle Morel:
A Bayesian Constraint on Neural Computation. ISIT 2006: 655-658 - 2005
- [j33]William B. Levy, A. Sanyal, Xiangbao Wu, Paul Rodríguez, David W. Sullivan:
The formation of neural codes in the hippocampus: trace conditioning as a prototypical paradigm for studying the random recoding hypothesis. Biol. Cybern. 92(6): 409-426 (2005) - [j32]Xiangbao Wu, William B. Levy:
Increasing CS and US longevity increases the learnable trace interval. Neurocomputing 65-66: 283-289 (2005) - [j31]Ashlie B. Hocking, William B. Levy:
Computing conditional probabilities in a minimal CA3 pyramidal neuron. Neurocomputing 65-66: 297-303 (2005) - [j30]David W. Sullivan, William B. Levy:
Activity affects trace conditioning performance in a minimal hippocampal model. Neurocomputing 65-66: 315-321 (2005) - [j29]Patrick Crotty, William B. Levy:
Energy-efficient interspike interval codes. Neurocomputing 65-66: 371-378 (2005) - [j28]Joanna Tyrcha, William B. Levy:
Synaptic failures and a Gaussian excitation distribution. Neurocomputing 65-66: 891-899 (2005) - [j27]Thomas Sangrey, William B. Levy:
Conduction velocity costs energy. Neurocomputing 65-66: 907-913 (2005) - [j26]Xiangbao Wu, William B. Levy:
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 68: 322 (2005) - [j25]William B. Levy, Ashlie B. Hocking, Xiangbao Wu:
Interpreting hippocampal function as recoding and forecasting. Neural Networks 18(9): 1242-1264 (2005) - 2004
- [j24]Joanna Tyrcha, William B. Levy:
Another contribution by synaptic failures to energy efficient processing by neurons. Neurocomputing 58-60: 59-66 (2004) - [j23]William B. Levy:
Contrasting rules for synaptogenesis, modification of existing synapses, and synaptic removal as a function of neuronal computation. Neurocomputing 58-60: 343-350 (2004) - [j22]Paul Rodríguez, William B. Levy:
Configural representations in transverse patterning with a hippocampal model. Neural Networks 17(2): 175-190 (2004) - 2003
- [j21]William B. Levy, Xiangbao Wu, Anthony J. Greene, Barbara A. Spellman:
A source of individual variation. Neurocomputing 52-54: 165-168 (2003) - [j20]David W. Sullivan, William B. Levy:
Quantal synaptic failures improve performance in a sequence learning model of hippocampal CA3. Neurocomputing 52-54: 397-401 (2003) - 2002
- [j19]Xiangbao Wu, William B. Levy:
Simulating the transverse non-patterning problem. Neurocomputing 44-46: 1029-1034 (2002) - 2001
- [j18]Sean Polyn, William B. Levy:
Dynamic control of inhibition improves performance of a hippocampal model. Neurocomputing 38-40: 823-829 (2001) - [j17]Xiangbao Wu, William B. Levy:
Simulating symbolic distance effects in the transitive inference problem. Neurocomputing 38-40: 1603-1610 (2001) - 2000
- [j16]Sean Polyn, Xiangbao Wu, William B. Levy:
Entorhinal/dentate excitation of CA3: A critical variable in hippocampal models. Neurocomputing 32-33: 493-499 (2000) - [j15]Aaron P. Shon, Xiangbao Wu, William B. Levy:
Using computational simulations to discover optimal training paradigms. Neurocomputing 32-33: 995-1002 (2000)
1990 – 1999
- 1999
- [j14]William B. Levy, Hakan Deliç, Dawn M. Adelsberger-Mangan:
The statistical relationship between connectivity and neural activity in fractionally connected feed-forward networks. Biol. Cybern. 80(2): 131-139 (1999) - [j13]Xiangbao Wu, William B. Levy:
Enhancing the performance of a hippocampal model by increasing variability early in learning. Neurocomputing 26-27: 601-607 (1999) - [j12]D. A. August, William B. Levy:
Temporal Sequence Compression by an Integrate-and-Fire Model of Hippocampal Area CA3. J. Comput. Neurosci. 6(1): 71-90 (1999) - 1998
- [j11]Xiangbao Wu, Joanna Tyrcha, William B. Levy:
A neural network solution to the transverse patterning problem depends on repetition of the input code. Biol. Cybern. 79(3): 203-213 (1998) - [j10]Asohan Amarasingham, William B. Levy:
Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model. Neural Comput. 10(1): 25-58 (1998) - 1997
- [c4]William B. Levy, Xiangbao Wu:
A simple, biologically motivated neural network solves the transitive inference problem. ICNN 1997: 368-371 - [c3]William B. Levy, Per B. Sederberg:
A neural network model of hippocampally mediated trace conditioning. ICNN 1997: 372-376 - 1996
- [j9]Xiangbao Wu, Robert A. Baxter, William B. Levy:
Context codes and the effect of noisy learning on a simplified hippocampal CA3 model. Biol. Cybern. 74(2): 159-165 (1996) - [j8]D. A. August, William B. Levy:
A simple spike train decoder inspired by the sampling theorem. Neural Comput. 8(1): 67-84 (1996) - [j7]William B. Levy, Rohan A. Baxter:
Energy efficient neural codes. Neural Comput. 8(3): 531-543 (1996) - 1994
- [j6]Dawn M. Adelsberger-Mangan, William B. Levy:
The influence of limited presynaptic growth and synapse removal on adaptive synaptogenesis. Biol. Cybern. 71(5): 461-468 (1994) - [j5]Ali A. Minai, William B. Levy:
Setting the Activity Level in Sparse Random Networks. Neural Comput. 6(1): 85-99 (1994) - [j4]William B. Levy, Hakan Deliç:
Maximum entropy aggregation of individual opinions. IEEE Trans. Syst. Man Cybern. 24(4): 606-613 (1994) - 1993
- [j3]Dawn M. Adelsberger-Mangan, William B. Levy:
Adaptive synaptogenesis constructs networks that maintain information and reduce statistical dependence. Biol. Cybern. 70(1): 81-87 (1993) - [j2]Ali A. Minai, William B. Levy:
The dynamics of sparse random networks. Biol. Cybern. 70(2): 177-187 (1993) - 1992
- [j1]Dawn M. Adelsberger-Mangan, William B. Levy:
Information maintenance and statistical dependence reduction in simple neural networks. Biol. Cybern. 67(5): 469-477 (1992) - [c2]Ali A. Minai, William B. Levy:
Predicting Complex Behavior in Sparse Asymmetric Networks. NIPS 1992: 556-563
1980 – 1989
- 1988
- [c1]Shailesh U. Hegde, Jeffrey L. Swee, William B. Levy:
Determination of parameters in a Hopfield/Tank computational network. ICNN 1988: 291-298
Coauthor Index
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