Approximate Emergent Synchrony in Spatially Coupled Spiking Neurons with Discrete Interaction

Models for perceptual grouping and contour integration are presented. Connection weights depend on distances and angle differences, while neurons evolve following a spiking dynamics (Izhikevich’s model in most of the considered cases). Although the studied synapses depend on discrete three-valued fu...

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Bibliographic Details
Published in:Neural computation 2014-11, Vol.26 (11), p.2419-2440
Main Authors: Supèr, Hans, Romeo, August
Format: Article
Language:English
Subjects:
Action Potentials - physiology
Animals
Approximation
Cognition & reasoning
Computer Simulation
Humans
Letters
Models, Neurological
Nerve Net - physiology
Neurons
Neurons - physiology
Perception
Synapses - physiology
Synaptic Transmission
Time Factors
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Summary:Models for perceptual grouping and contour integration are presented. Connection weights depend on distances and angle differences, while neurons evolve following a spiking dynamics (Izhikevich’s model in most of the considered cases). Although the studied synapses depend on discrete three-valued functions, simulations display the emergence of approximate synchrony, making these cognitive tasks possible. Noise effects are examined, and the possibility of achieving similar results with a different neuron model is discussed.
ISSN:0899-7667
1530-888X
DOI:10.1162/NECO_a_00658