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» Polychronization: Computation with Spikes
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IJON
2006
77views more  IJON 2006»
13 years 7 months ago
Synchronization effects using a piecewise linear map-based spiking-bursting neuron model
Models of neurons based on iterative maps allows the simulation of big networks of coupled neurons without loss of biophysical properties such as spiking, bursting or tonic bursti...
Carlos Aguirre, Doris Campos, Pedro Pascual, Eduar...
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
14 years 1 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
CDC
2009
IEEE
108views Control Systems» more  CDC 2009»
14 years 10 days ago
The parabigeminal nucleus as a recursive estimator
— The parabigeminal nucleus (PBN) is known to estimate the retinal position error (RPE) of an intended target. Recently it has been discovered that PBN activity continues to enco...
Rui Ma, Todd P. Coleman, Joseph G. Malpeli
ESANN
2006
13 years 9 months ago
FPGA implementation of an integrate-and-fire LEGION model for image segmentation
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
Bernard Girau, Cesar Torres-Huitzil