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» Modeling self-developing biological neural networks
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IWANN
2009
Springer
14 years 24 days ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...
ECCC
2000
59views more  ECCC 2000»
13 years 6 months ago
A Simple Model for Neural Computation with Firing Rates and Firing Correlations
A simple extension of standard neural network models is introduced which provides a model for neural computations that involve both firing rates and firing correlations. Such an ex...
Wolfgang Maass
IROS
2008
IEEE
250views Robotics» more  IROS 2008»
14 years 20 days ago
Mobile robot broadband sound localisation using a biologically inspired spiking neural network
— A biologically inspired azimuthal broadband sound localisation system is introduced to simulates the functional organisation of the human auditory midbrain up to the inferior c...
Jindong Liu, Harry R. Erwin, Stefan Wermter
IJCNN
2006
IEEE
14 years 8 days ago
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
— This paper describes an area-efficient mixed-signal implementation of synapse-based long term plasticity realized in a VLSI1 model of a spiking neural network. The artificial...
Johannes Schemmel, Andreas Grübl, Karlheinz M...
NN
1998
Springer
112views Neural Networks» more  NN 1998»
13 years 5 months ago
Continuous attractors and oculomotor control
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
H. Sebastian Seung