AN OPTIMIZATION SPIKING NEURAL P SYSTEM FOR APPROXIMATELY SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS.
- Published in:
- International Journal of Neural Systems, 2014, v. 24, n. 5, p. -1, doi. 10.1142/S0129065714400061
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- Publication type:
- Article
Works matching IS 01290657 AND DT 2014 AND VI 24 AND IP 5
Results: 7
1
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INTRODUCTION.
- Published in:
- International Journal of Neural Systems, 2014, v. 24, n. 5, p. -1, doi. 10.1142/S0129065714030026
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- Publication type:
- Article
3
STUDYING THE ROLE OF SYNCHRONIZED AND CHAOTIC SPIKING NEURAL ENSEMBLES IN NEURAL INFORMATION PROCESSING.
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- International Journal of Neural Systems, 2014, v. 24, n. 5, p. -1, doi. 10.1142/S0129065714300034
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- Article
4
CODE-SPECIFIC LEARNING RULES IMPROVE ACTION SELECTION BY POPULATIONS OF SPIKING NEURONS.
- Published in:
- International Journal of Neural Systems, 2014, v. 24, n. 5, p. -1, doi. 10.1142/S0129065714500026
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- Article
5
SIMULATING VERTICAL AND HORIZONTAL INHIBITION WITH SHORT-TERM DYNAMICS IN A MULTI-COLUMN MULTI-LAYER MODEL OF NEOCORTEX.
- Published in:
- International Journal of Neural Systems, 2014, v. 24, n. 5, p. -1, doi. 10.1142/S0129065714400024
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- Publication type:
- Article
6
OPTIMAL SPARSE APPROXIMATION WITH INTEGRATE AND FIRE NEURONS.
- Published in:
- International Journal of Neural Systems, 2014, v. 24, n. 5, p. -1, doi. 10.1142/S0129065714400012
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- Publication type:
- Article
7
A GENERALIZED LEAKY INTEGRATE-AND-FIRE NEURON MODEL WITH FAST IMPLEMENTATION METHOD.
- Published in:
- International Journal of Neural Systems, 2014, v. 24, n. 5, p. -1, doi. 10.1142/S0129065714400048
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- Publication type:
- Article