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BC
2007
79views more  BC 2007»
13 years 10 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...
DATE
2008
IEEE
125views Hardware» more  DATE 2008»
14 years 4 months ago
Current source based standard cell model for accurate signal integrity and timing analysis
— The inductance and coupling effects in interconnects and non-linear receiver loads has resulted in complex input signals and output loads for gates in the modern deep submicron...
Amit Goel, Sarma B. K. Vrudhula
NIPS
2003
13 years 11 months ago
A Probabilistic Model of Auditory Space Representation in the Barn Owl
The barn owl is a nocturnal hunter, capable of capturing prey using auditory information alone [1]. The neural basis for this localization behavior is the existence of auditory ne...
Brian J. Fischer, Charles H. Anderson
JUCS
2008
181views more  JUCS 2008»
13 years 9 months ago
An IP Core and GUI for Implementing Multilayer Perceptron with a Fuzzy Activation Function on Configurable Logic Devices
: This paper describes the development of an Intellectual Property (IP) core in VHDL able to implement a Multilayer Perceptron (MLP) artificial neural network (ANN) topology with u...
Alfredo Rosado Muñoz, Luis Gómez-Cho...
NIPS
2004
13 years 11 months ago
Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity
Experimental studies have observed synaptic potentiation when a presynaptic neuron fires shortly before a postsynaptic neuron, and synaptic depression when the presynaptic neuron ...
Sander M. Bohte, Michael C. Mozer