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IJON
2006
91views more  IJON 2006»
13 years 4 months ago
Event-based simulation strategy for conductance-based synaptic interactions and plasticity
The immense computational and adaptive power of the cerebral cortex emerges from the collective dynamics of large populations of interacting neurons. Thus, for theoretical investi...
Michelle Rudolph, Alain Destexhe
BIOSYSTEMS
2008
107views more  BIOSYSTEMS 2008»
13 years 5 months ago
The linearity of emergent spectro-temporal receptive fields in a model of auditory cortex
The responses of cortical neurons are often characterized by measuring their spectro-temporal receptive fields (strfs). The strf of a cell can be thought of as a representation of...
Martin Coath, Emili Balaguer-Ballester, Sue L. Den...
ESANN
2008
13 years 6 months ago
Computational model for amygdala neural networks
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
Jean Marc Salotti
BC
2000
91views more  BC 2000»
13 years 4 months ago
Computational model of dot-pattern selective cells
Abstract. A computational model of a dot-pattern selective neuron is proposed. This type of neuron is found in the inferotemporal cortex of monkeys. It responds strongly to groups ...
Peter Kruizinga, Nikolai Petkov
ICANN
2005
Springer
13 years 10 months ago
A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability
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...
Jochen Triesch