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IJCNN
2007
IEEE
15 years 3 months ago
A Novel Weighted LBG Algorithm for Neural Spike Compression
Abstract— In this paper, we present a weighted Linde-BuzoGray algorithm (WLBG) as a powerful and efficient technique for compressing neural spike data. We compare this technique...
Sudhir Rao, António R. C. Paiva, Jose C. Pr...
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
15 years 4 months ago
Convergence of rule-of-thumb learning rules in social networks
— We study the problem of dynamic learning by a social network of agents. Each agent receives a signal about an underlying state and communicates with a subset of agents (his nei...
Daron Acemoglu, Angelia Nedic, Asuman E. Ozdaglar
85
Voted
CORR
2010
Springer
100views Education» more  CORR 2010»
14 years 9 months ago
Products of Weighted Logic Programs
Abstract. Weighted logic programming, a generalization of bottom-up logic programming, is a successful framework for specifying dynamic programming algorithms. In this setting, pro...
Shay B. Cohen, Robert J. Simmons, Noah A. Smith
78
Voted
BC
2007
79views more  BC 2007»
14 years 9 months ago
Spike-timing-dependent plasticity for neurons with recurrent connections
The dynamics of the learning equation, which describes the evolution of the synaptic weights, is derived in the situation where the network contains recurrent connections. The deri...
Anthony N. Burkitt, Matthieu Gilson, J. Leo van He...
56
Voted
COMPLEXITY
2008
84views more  COMPLEXITY 2008»
14 years 9 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller