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» Evolving Artificial Neural Networks that Develop in Time
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NN
2008
Springer
115views Neural Networks» more  NN 2008»
14 years 11 months ago
The state of MIIND
MIIND (Multiple Interacting Instantiations of Neural Dynamics) is a highly modular multi-level C++ framework, that aims to shorten the development time for models in Cognitive Neu...
Marc de Kamps, Volker Baier, Johannes Drever, Mela...
NN
2000
Springer
134views Neural Networks» more  NN 2000»
14 years 11 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
ISCAS
2011
IEEE
278views Hardware» more  ISCAS 2011»
14 years 3 months ago
A programmable axonal propagation delay circuit for time-delay spiking neural networks
— we present an implementation of a programmable axonal propagation delay circuit which uses one first-order logdomain low-pass filter. Delays may be programmed in the 550ms rang...
Runchun Wang, Craig T. Jin, Alistair McEwan, Andr&...
ISNN
2004
Springer
15 years 5 months ago
Rainfall-Runoff Correlation with Particle Swarm Optimization Algorithm
A reliable correlation between rainfall-runoff enables the local authority to gain more amble time for formulation of appropriate decision making, issuance of an advanced flood for...
Kwok-wing Chau
ICANN
1997
Springer
15 years 3 months ago
Local Subspace Classifier
Subsystems for on-line recognition of handwriting are needed in personal digital assistants (PDAs) and other portable handheld devices. We have developed a recognition system whic...
Jorma Laaksonen