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AI
2001
Springer
15 years 9 months ago
The Bottom-Up Freezing: An Approach to Neural Engineering
This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by ...
Ali Farzan, Ali A. Ghorbani
IJON
1998
140views more  IJON 1998»
15 years 4 months ago
Comment on "Discrete-time recurrent neural network architectures: A unifying review"
Paper [1] aimed at providing a unified presentation of neural network architectures. We show in the present comment (i) that the canonical form of recurrent neural networks presen...
Léon Personnaz, Gérard Dreyfus
IWANN
2009
Springer
15 years 11 months ago
Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise
We study the dynamics of a simple bistable system driven by multiplicative correlated noise. Such system mimics the dynamics of classical attractor neural networks with an addition...
Jorge F. Mejías, Joaquín J. Torres, ...
ECAL
2007
Springer
15 years 10 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão
ICANN
1997
Springer
15 years 8 months ago
Simulation of Spiking Neural Networks on Different Hardware Platforms
: Substantial evidence indicates that the time structure of neuronal spike trains is relevant in neuronal signal processing. Bio-inspired spiking neural networks are taking these r...
Axel Jahnke, Tim Schönauer, Ulrich Roth, K. M...