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» Spike Trains in Spiking Neural P Systems
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IJON
2008
49views more  IJON 2008»
13 years 7 months ago
Processing visual stimuli using hierarchical spiking neural networks
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
ICASSP
2009
IEEE
14 years 2 months ago
Consistent recovery of stimuli encoded with a neural ensemble
We consider the problem of reconstructing finite energy stimuli from a finite number of contiguous spikes. The reconstructed signal satisfies a consistency condition: when pass...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
ISCAS
2006
IEEE
90views Hardware» more  ISCAS 2006»
14 years 1 months ago
Feature competition in a spike-based winner-take-all VLSI network
— Recurrent networks and hardware analogs that perform a winner-take-all computation have been studied extensively. This computation is rarely demonstrated in a spiking network o...
Shih-Chii Liu, Matthias Oster
NIPS
2008
13 years 9 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...