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» Fast computation with neural oscillators
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NIPS
1997
13 years 11 months ago
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks
A Lyapunov function for excitatory-inhibitory networks is constructed. The construction assumes symmetric interactions within excitatory and inhibitory populations of neurons, and...
H. Sebastian Seung, Tom J. Richardson, J. C. Lagar...
FCCM
2000
IEEE
103views VLSI» more  FCCM 2000»
14 years 2 months ago
A Networked FPGA-Based Hardware Implementation of a Neural Network Application
This paper describes a networked FPGA-based implementation of the FAST (Flexible Adaptable-Size Topology) architecture, a Arti cial Neural Network (ANN) that dynamically adapts it...
Héctor Fabio Restrepo, Ralph Hoffmann, Andr...
IJCAI
2007
13 years 11 months ago
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
Ah-Hwee Tan
SIGCOMM
1994
ACM
14 years 1 months ago
Improved Algorithms for Synchronizing Computer Network Clocks
The Network Time Protocol (NTP) is widely deployed in the Internet to synchronize computer clocks to each other and to international standards via telephone modem, radio and satel...
David L. Mills
CORR
2008
Springer
97views Education» more  CORR 2008»
13 years 10 months ago
Fast Density Codes for Image Data
Recently, a new method for encoding data sets in the form of "Density Codes" was proposed in the literature (Courrieu, 2006). This method allows to compare sets of points...
Pierre Courrieu