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» Neural networks for computational neuroscience
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ECCC
2000
59views more  ECCC 2000»
14 years 11 months ago
A Simple Model for Neural Computation with Firing Rates and Firing Correlations
A simple extension of standard neural network models is introduced which provides a model for neural computations that involve both firing rates and firing correlations. Such an ex...
Wolfgang Maass
89
Voted
IGPL
2010
97views more  IGPL 2010»
14 years 10 months ago
A symbolic/subsymbolic interface protocol for cognitive modeling
Researchers studying complex cognition have grown increasingly interested in mapping symbolic cognitive architectures onto subsymbolic brain models. Such a mapping seems essential...
Patrick Simen, Thad A. Polk
123
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
14 years 11 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
PACT
2005
Springer
15 years 5 months ago
Parallel Implementation of Back-Propagation Neural Network Software on SMP Computers
Abstract. Experiments of neural network training procedure parallelization are conducted. Several styles of parallelization are described and compared, estimations of neural networ...
Victor G. Tsaregorodtsev
86
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JCNS
2010
103views more  JCNS 2010»
14 years 6 months ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski