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» Correlation Coding in Stochastic Neural Networks
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BC
1998
94views more  BC 1998»
13 years 5 months ago
A neural network study of precollicular saccadic averaging
Saccadic averaging is the phenomenon that two simultaneously presented retinal inputs result in a saccade with an endpoint located on an intermediate position between the two stimu...
Karin P. Krommenhoek, W. A. J. J. Wiegerinck
IJCNN
2006
IEEE
14 years 5 days ago
SOM-Based Sparse Binary Encoding for AURA Classifier
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
Simon O'Keefe
ICANN
2005
Springer
13 years 11 months ago
Modelling Path Integrator Recalibration Using Hippocampal Place Cells
Abstract. The firing activities of place cells in the rat hippocampus exhibit strong correlations to the animal’s location. External (e.g. visual) as well as internal (proprioce...
Thomas Strösslin, Ricardo Chavarriaga, Denis ...
NN
2006
Springer
141views Neural Networks» more  NN 2006»
13 years 6 months ago
Encoding uncertainty in the hippocampus
The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit memory tasks. Information...
Lee M. Harrison, Andrew Duggins, Karl J. Friston
NECO
2007
258views more  NECO 2007»
13 years 5 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian