2007 |
32 | EE | Danielle Morel,
William B. Levy:
Persistent sodium is a better linearizing mechanism than the hyperpolarization-activated current.
Neurocomputing 70(10-12): 1635-1639 (2007) |
31 | EE | 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) |
30 | EE | 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 |
29 | EE | 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) |
28 | EE | Patrick Crotty,
William B. Levy:
Intersymbol interference in axonal transmission.
Neurocomputing 69(10-12): 1006-1009 (2006) |
27 | EE | William B. Levy,
Xiangbao Wu:
External activity and the freedom to recode.
Neurocomputing 69(10-12): 1233-1237 (2006) |
26 | EE | Xiangbao Wu,
William B. Levy:
Decision functions that can support a hippocampal model.
Neurocomputing 69(10-12): 1238-1243 (2006) |
25 | EE | Ashlie B. Hocking,
William B. Levy:
Gamma oscillations in a minimal CA3 model.
Neurocomputing 69(10-12): 1244-1248 (2006) |
2005 |
24 | EE | William B. Levy,
A. Sanyal,
Xiangbao Wu,
Paul Rodriguez,
David W. Sullivan:
The formation of neural codes in the hippocampus: trace conditioning as a prototypical paradigm for studying the random recoding hypothesis.
Biological Cybernetics 92(6): 409-426 (2005) |
23 | EE | William B. Levy,
Ashlie B. Hocking,
Xiangbao Wu:
Interpreting hippocampal function as recoding and forecasting.
Neural Networks 18(9): 1242-1264 (2005) |
22 | EE | Xiangbao Wu,
William B. Levy:
Increasing CS and US longevity increases the learnable trace interval.
Neurocomputing 65-66: 283-289 (2005) |
21 | EE | Ashlie B. Hocking,
William B. Levy:
Computing conditional probabilities in a minimal CA3 pyramidal neuron.
Neurocomputing 65-66: 297-303 (2005) |
20 | EE | David W. Sullivan,
William B. Levy:
Activity affects trace conditioning performance in a minimal hippocampal model.
Neurocomputing 65-66: 315-321 (2005) |
19 | EE | Patrick Crotty,
William B. Levy:
Energy-efficient interspike interval codes.
Neurocomputing 65-66: 371-378 (2005) |
18 | EE | 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) |
2004 |
17 | EE | Paul Rodriguez,
William B. Levy:
Configural representations in transverse patterning with a hippocampal model.
Neural Networks 17(2): 175-190 (2004) |
16 | EE | 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) |
15 | EE | Joanna Tyrcha,
William B. Levy:
Another contribution by synaptic failures to energy efficient processing by neurons.
Neurocomputing 58-60: 59-66 (2004) |
2003 |
14 | EE | William B. Levy,
Xiangbao Wu,
Anthony J. Greene,
Barbara A. Spellman:
A source of individual variation.
Neurocomputing 52-54: 165-168 (2003) |
13 | EE | 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 |
12 | EE | Xiangbao Wu,
William B. Levy:
Simulating the transverse non-patterning problem.
Neurocomputing 44-46: 1029-1034 (2002) |
2001 |
11 | EE | Xiangbao Wu,
William B. Levy:
Simulating symbolic distance effects in the transitive inference problem.
Neurocomputing 38-40: 1603-1610 (2001) |
10 | EE | Sean Polyn,
William B. Levy:
Dynamic control of inhibition improves performance of a hippocampal model.
Neurocomputing 38-40: 823-829 (2001) |
2000 |
9 | EE | Sean Polyn,
Xiangbao Wu,
William B. Levy:
Entorhinal/dentate excitation of CA3: A critical variable in hippocampal models.
Neurocomputing 32-33: 493-499 (2000) |
8 | EE | Aaron P. Shon,
Xiangbao Wu,
William B. Levy:
Using computational simulations to discover optimal training paradigms.
Neurocomputing 32-33: 995-1002 (2000) |
1999 |
7 | | D. A. August,
William B. Levy:
Temporal Sequence Compression by an Integrate-and-Fire Model of Hippocampal Area CA3.
Journal of Computational Neuroscience 6(1): 71-90 (1999) |
6 | EE | Xiangbao Wu,
William B. Levy:
Enhancing the performance of a hippocampal model by increasing variability early in learning.
Neurocomputing 26-27: 601-607 (1999) |
1998 |
5 | | Asohan Amarasingham,
William B. Levy:
Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model.
Neural Computation 10(1): 25-58 (1998) |
1996 |
4 | | D. A. August,
William B. Levy:
A simple spike train decoder inspired by the sampling theorem.
Neural Computation 8(1): 67-84 (1996) |
3 | | William B. Levy,
Rohan A. Baxter:
Energy efficient neural codes.
Neural Computation 8(3): 531-543 (1996) |
1994 |
2 | | William B. Levy,
Hakan Deliç:
Maximum entropy aggregation of individual opinions.
IEEE Transactions on Systems, Man, and Cybernetics 24(4): 606-613 (1994) |
1992 |
1 | EE | Ali A. Minai,
William B. Levy:
Predicting Complex Behavior in Sparse Asymmetric Networks.
NIPS 1992: 556-563 |