1707 search results - page 188 / 342 » Modeling spiking neural networks |
117
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NN
1997
Springer
15 years 6 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
121
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NN
2008
Springer
15 years 1 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
102
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
152
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EPS
1995
Springer
15 years 5 months ago
1995
Springer
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
113
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BIOCOMP
2006
15 years 3 months ago
2006
act Nowadays people are strongly dependent on cars for doing their tasks, but they usually are not aware of hazards which are awaiting them. For instance, since people travel with ...