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NIPS
2003
10 years 1 months ago
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity
A balanced network leads to contradictory constraints on memory models, as exemplified in previous work on accommodation of synfire chains. Here we show that these constraints can...
Yuval Aviel, David Horn, Moshe Abeles
NN
2002
Springer
208views Neural Networks» more  NN 2002»
9 years 11 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
CONNECTION
2006
101views more  CONNECTION 2006»
9 years 11 months ago
High capacity, small world associative memory models
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symm...
Neil Davey, Lee Calcraft, Rod Adams
ICANN
1997
Springer
10 years 3 months ago
Recurrent Associative Memory Network of Nonlinear Coupled Oscillators
Abstract. The recurrent associative memory networks with complexvalued Hebbian matrices of connections are designed from interacting limitcycle oscillators. These oscillatory netwo...
Margarita Kuzmina, Eduard A. Manykin, Irina Surina
BC
2002
193views more  BC 2002»
9 years 11 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
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