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» Chaotic hopping between attractors in neural networks
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IJCNN
2006
IEEE
13 years 11 months ago
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
Igor Beliaev, Robert Kozma
BC
1998
84views more  BC 1998»
13 years 4 months ago
Stimulus-induced bifurcations in discrete-time neural oscillators
Abstract. Based on theoretical issues and neurobiological evidence, considerable interest has recently focused on dynamic computational elements in neural systems. Such elements re...
Ali A. Minai, Tirunelveli Anand
ESANN
2000
13 years 6 months ago
Local input-output stability of recurrent networks with time-varying weights
Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
Jochen J. Steil
NC
2007
123views Neural Networks» more  NC 2007»
13 years 4 months ago
The complexity of latching transitions in large scale cortical networks
Abstract. We study latching dynamics, i.e. the ability of a network to hop spontaneously from one discrete attractor state to another, which has been proposed as a model of an inď¬...
Emilio Kropff, Alessandro Treves