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» Modeling spiking neural networks
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IJON
2007
73views more  IJON 2007»
13 years 10 months ago
Improvement of spike coincidence detection with facilitating synapses
A realistic model of activity dependent dynamical synapses is used to study the conditions in which a postsynaptic neuron detects temporal coincidences of spikes arriving from N d...
Jorge F. Mejías, Joaquín J. Torres
ESANN
2003
13 years 11 months ago
Mathematical Aspects of Neural Networks
In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
Barbara Hammer, Thomas Villmann
IJON
2007
120views more  IJON 2007»
13 years 10 months ago
Comparison of dynamical states of random networks with human EEG
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
ICANN
1997
Springer
14 years 2 months ago
A Novelty Detector Using a Network of Integrate and Fire Neurons
Information in the nervous system has often been considered as being represented by simultaneous discharge of a large set of neurons. We propose a learning mechanism for neural inf...
Tuong Vinh Ho, Jean Rouat
ICANN
2007
Springer
14 years 4 months ago
Self-perturbation and Homeostasis in Embodied Recurrent Neural Networks: A Meta-model and Some Explorations with Mechanisms for
Abstract. We present a model of a recurrent neural network, embodied in a minimalist articulated agent with a single link and joint. The configuration of the agent defined by one...
Jorge Simão