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» Neural Dynamics with Stochasticity
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FPL
2009
Springer
161views Hardware» more  FPL 2009»
15 years 10 months ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
IJCNN
2000
IEEE
15 years 10 months ago
The Growing Hierarchical Self-Organizing Map
In this paper we present the growing hierarchical self-organizing map. This dynamically growing neural network model evolves into a hierarchical structure according to the requirem...
Michael Dittenbach, Dieter Merkl, Andreas Rauber
IJCNN
2006
IEEE
15 years 12 months ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu
BC
2006
63views more  BC 2006»
15 years 6 months ago
Dynamic neural field with local inhibition
Abstract A lateral-inhibition type neural field model with restricted connections is presented here and represents an experimental extension of the Continuum Neural Field Theory (C...
Nicolas P. Rougier