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NECO
2006
76views more  NECO 2006»
15 years 2 months ago
Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks
We study in this paper the effect of an unique initial stimulation on random recurrent networks of leaky integrate and fire neurons. Indeed given a stochastic connectivity this so...
Hédi Soula, Guillaume Beslon, Olivier Mazet
123
Voted
KI
2007
Springer
15 years 8 months ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
TIT
1998
79views more  TIT 1998»
15 years 2 months ago
Capacity of Two-Layer Feedforward Neural Networks with Binary Weights
— The lower and upper bounds for the information capacity of two-layer feedforward neural networks with binary interconnections, integer thresholds for the hidden units, and zero...
Chuanyi Ji, Demetri Psaltis
99
Voted
ESANN
2007
15 years 3 months ago
Causality and communities in neural networks
A recently proposed nonlinear extension of Granger causality is used to map the dynamics of a neural population onto a graph, whose community structure characterizes the collective...
Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
ICPR
2000
IEEE
16 years 3 months ago
Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features
The decrease in the volume of viable tumor is an indicator for the effect preoperative chemotherapy has on bone tumors. We develop an approach for segmenting dynamic perfusionMR-i...
Michael Egmont-Petersen, Alejandro F. Frangi, Wiro...