The generation of oscillations in a biological conductance-based single-neuron model and three isolated network-based models is studied using computer simulation. The synchronization of oscillations in a linear chain ...
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The generation of oscillations in a biological conductance-based single-neuron model and three isolated network-based models is studied using computer simulation. The synchronization of oscillations in a linear chain of locally coupled neural oscillators is investigated. Simulation results for linear chains employing four oscillator models are presented and their speed of synchronization is compared. A two-dimensional oscillator network that attains feature-linking and pattern segmentation through temporal correlations among neural signals is presented. The network is simulated numerically for three oscillator models and the results are compared.
The discovery of long range synchronous oscillations in the visual cortex has triggered much interest in understanding the underlying neural mechanisms and in exploring possible applications of neural oscillations, Ma...
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The discovery of long range synchronous oscillations in the visual cortex has triggered much interest in understanding the underlying neural mechanisms and in exploring possible applications of neural oscillations, Many neural models thus proposed end up relying on global connections, leading to the question of whether lateral connections alone can produce remote synchronization. With a formulation different from frequently used phase models, we find that locally coupled neural oscillators can yield global synchrony. The model employs a previously suggested mechanism that the efficacy of the connections is allowed to change on a fast time scale, Based on the known connectivity of the visual cortex, the model outputs closely resemble the experimental findings, Furthermore, we illustrate the potential of locally connected oscillator networks in perceptual grouping and pattern segmentation, which seems missing in globally connected ones.
This paper treats segmentation of time patterns as a heuristic search problem. segmentation is formulated in terms of image restoration. An observed pattern, which is the stochastically deformed image of a pure image ...
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