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IJON
2007
73views more  IJON 2007»
13 years 4 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
IJON
2007
85views more  IJON 2007»
13 years 4 months ago
Desynchronized stable states in diluted neural networks
The dynamical properties of a diluted fully inhibitory network of pulse-coupled neurons are investigated. Depending on the coupling strength, two different phases can be observed....
Rüdiger Zillmer, Roberto Livi, Antonio Politi...
IJON
2007
73views more  IJON 2007»
13 years 4 months ago
Time-scales in the interplay between calcium and voltage dynamics
The interaction between slow calcium dynamics and voltage dynamics increases the processing capabilities of neurons. A proper understanding of this interaction has to take into ac...
Srikanth Ramaswamy, Fabiano Baroni, Pablo Varona, ...
NN
2006
Springer
121views Neural Networks» more  NN 2006»
13 years 4 months ago
Mirror neurons and imitation: A computationally guided review
Neurophysiology reveals the properties of individual mirror neurons in the macaque while brain imaging reveals the presence of `mirror systems' (not individual neurons) in th...
Erhan Oztop, Mitsuo Kawato, Michael A. Arbib
NECO
2006
60views more  NECO 2006»
13 years 4 months ago
On the Computational Power of Threshold Circuits with Sparse Activity
Circuits composed of threshold gates (McCulloch-Pitts neurons, or perceptrons) are simplified models of neural circuits with the advan1
Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass
NECO
2008
114views more  NECO 2008»
13 years 4 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
NECO
2008
106views more  NECO 2008»
13 years 4 months ago
Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
We consider a formal model of stimulus encoding with a circuit consisting of a bank of filters and an ensemble of integrate-and-fire neurons. Such models arise in olfactory system...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
NECO
2008
84views more  NECO 2008»
13 years 4 months ago
Stochastic Synchrony of Chaos in a Pulse-Coupled Neural Network with Both Chemical and Electrical Synapses Among Inhibitory Neur
The synchronous firing of neurons in a pulse coupled neural network composed of excitatory and inhibitory neurons is analyzed. The neurons are connected by both chemical synapses ...
Takashi Kanamaru, Kazuyuki Aihara
ENGL
2007
89views more  ENGL 2007»
13 years 4 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...
IJON
2006
77views more  IJON 2006»
13 years 4 months ago
Synchronization effects using a piecewise linear map-based spiking-bursting neuron model
Models of neurons based on iterative maps allows the simulation of big networks of coupled neurons without loss of biophysical properties such as spiking, bursting or tonic bursti...
Carlos Aguirre, Doris Campos, Pedro Pascual, Eduar...