115 search results - page 6 / 23 » Bayesian Learning of Loglinear Models for Neural Connectivit... |
ICANN
2009
Springer
15 years 1 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
ISCAS
2005
IEEE
15 years 3 months ago
2005
IEEE
We describe an algorithm for self-organizing connections from a source array to a target array of neurons that is inspired by neural growth cone guidance. Each source neuron proje...
162
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NEUROSCIENCE
2001
Springer
15 years 1 months ago
2001
Springer
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
ICONIP
2007
14 years 11 months ago
2007
We proposed a neural segmentation model that is suitable for implementation in analog VLSIs using conventional CMOS technology. The model consists of neural oscillators mutually co...
85
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ISNN
2010
Springer
15 years 2 months ago
2010
Springer
An agent's beliefs usually depend on cognitive factors, but also affective factors may play a role. This paper presents an agent model that shows how such affective effects on...