502 search results - page 65 / 101 » Computational model for amygdala neural networks |
204
click to vote
NEUROSCIENCE
2001
Springer
15 years 10 months ago
2001
Springer
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
147
click to vote
IPPS
1998
IEEE
15 years 10 months ago
1998
IEEE
This paper presents our work on the static task scheduling model using the mean-field annealing (MFA) technique. Mean-field annealing is a technique of thermostatic annealing that...
189
click to vote
JMLR
2012
13 years 8 months ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
156
click to vote
NC
2010
15 years 4 months ago
2010
Abstract. Inspired by P systems initiated by Gheorghe P˜aun, we study a computation model over a multiset of communicating objects. The objects in our model are instances of fini...
136
click to vote
IJCNN
2006
IEEE
16 years 4 days ago
2006
IEEE
— In this paper we have suggested a sparse three dimensional array model for the brain. Entries of the array are synaptic weights as functions of time. This is a typical four dim...