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» Complex networks of simple neurons for bipedal locomotion
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JCNS
2000
165views more  JCNS 2000»
13 years 5 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
ICANN
2009
Springer
13 years 9 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
ESANN
2003
13 years 6 months ago
RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures
: -RetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes adv...
Raul Cristian Muresan
NECO
2000
113views more  NECO 2000»
13 years 5 months ago
Geometric Analysis of Population Rhythms in Synaptically Coupled Neuronal Networks
We develop geometric dynamical systems methods to determine how various components contribute to a neuronal network's emergent population behavior. The results clarify the mu...
Jonathan E. Rubin, David Terman
NN
2000
Springer
134views Neural Networks» more  NN 2000»
13 years 5 months ago
Generic modeling of chemotactic based self-wiring of neural networks
The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the netwo...
Ronen Segev, Eshel Ben-Jacob