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» Modeling self-developing biological neural networks
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IJON
2006
71views more  IJON 2006»
13 years 6 months ago
A neurocomputational model of stochastic resonance and aging
Stochastic resonance (SR) is fundamental to physical and biological processes. Here, we use a stochastic gain-tuning model to investigate interactions between aging-related increa...
Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger
BMCBI
2010
103views more  BMCBI 2010»
13 years 6 months ago
Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information
Background: Guanosine triphosphate (GTP)-binding proteins play an important role in regulation of G-protein. Thus prediction of GTP interacting residues in a protein is one of the...
Jagat S. Chauhan, Nitish K. Mishra, Gajendra P. S....
IICAI
2007
13 years 8 months ago
Topologically Continuous Associative Memory: A Theoretical Foundation
We introduce a neural network with associative memory and a continuous topology, i.e. its processing units are elements of a continuous metric space and the state space is Euclide...
Enrique Carlos Segura
EUROPAR
2007
Springer
13 years 10 months ago
Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...
VW
2000
Springer
128views Virtual Reality» more  VW 2000»
13 years 10 months ago
The World of Framsticks: Simulation, Evolution, Interaction
A three-dimensional virtual world simulation is described, where evolution takes place and it is possible to investigate behaviors of creatures in real-time. Bodies of these creatu...
Maciej Komosinski