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IJON
2000
55views more  IJON 2000»
13 years 11 months ago
Hippocampal place cells and the generation of a temporal code
Michael Recce, Amitabha Bose, Victoria Booth
IJON
2000
69views more  IJON 2000»
13 years 11 months ago
PARALLEL NEUROSYS: A system for the simulation of very large networks of biologically accurate neurons on parallel computers
We present a software package for the simulation of very large neuronal networks on parallel computers. The package can be run on any system with an implementation of the Message ...
Peter Pacheco, Marcelo Camperi, Toshi Uchino
IJON
2000
76views more  IJON 2000»
13 years 11 months ago
Fast neural network simulations with population density methods
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
Duane Q. Nykamp, Daniel Tranchina
IJON
2000
81views more  IJON 2000»
13 years 11 months ago
Initialization by selection for wavelet network training
We present an original initialization procedure for the parameters of feedforward wavelet networks, prior to training by gradient-based techniques. It takes advantage of wavelet f...
Yacine Oussar, Gérard Dreyfus
IJON
2000
48views more  IJON 2000»
13 years 11 months ago
On the tracking of dynamic functional relations in monkey cerebral cortex
Hualou Liang, Mingzhou Ding, Steven L. Bressler
IJON
2000
49views more  IJON 2000»
13 years 11 months ago
Distributed, web-based microstructure database for brain tissue
Wonryull Koh, Bruce H. McCormick
IJON
2000
62views more  IJON 2000»
13 years 11 months ago
A large-scale model of the cerebellar cortex using PGENESIS
In an investigation into the transformation of mossy ber input to Purkinje cell output in the cerebellar cortex, we have developed a network model including a sophisticated compar...
F. W. Howell, Jonas Dyhrfjeld-Johnsen, Reinoud Mae...
IJON
2000
85views more  IJON 2000»
13 years 11 months ago
Hebbian learning and temporary storage in the convergence-zone model of episodic memory
The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
Michael Howe, Risto Miikkulainen