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» On the use of spiking neural network for EEG classification
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ESANN
2003
13 years 10 months ago
RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures
: -RetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes adv...
Raul Cristian Muresan
CHI
2008
ACM
14 years 9 months ago
Rapid image analysis using neural signals
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...
NECO
2007
258views more  NECO 2007»
13 years 8 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
NPL
2006
137views more  NPL 2006»
13 years 8 months ago
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Chih-Ming Chen, Yung-Feng Lu, Chin-Ming Hong
ICMCS
2005
IEEE
126views Multimedia» more  ICMCS 2005»
14 years 2 months ago
A Real-Time Lip SYNC System Using a Genetic Algorithm for Automatic Neural Network Configuration
In this paper we present a new method for mapping a natural speech to the lip shape animation in the real time. The speech signal, represented by MFCC vectors, is classified into ...
Goranka Zoric, Igor S. Pandzic