- Poster presentation
- Open Access
Novel modes in a Wilson-Cowan network
© Neuman et al. 2015
- Published: 4 December 2015
- Neural Network
- Animal Model
- Population Level
- Exponential Decay
- Neural Activity
Spontaneous  and synaptically-driven neural activity exhibit a wide variety of dynamics. In the latter case, recent experiments using spike-triggered LFPs  have been able to classify stimulated behavior into two distinct categories: 1) traveling waves with smooth attenuation when the input is weak; and, 2) localized responses when the impulse is strong. Unfortunately, our knowledge of the mechanisms behind these differences is lacking on both the cellular and network scales.
This study, employing the spatiotemporal mean-field Wilson-Cowan equations , provides a model for the nature of these two modes at the population level. Just as in , we detect damped traveling waves with exponential decay when the input is relatively small. When the stimulus increases, the activity stays localized as evidenced by the large slope in the peaks of the activity.
This work was supported by the Dr. Ralph and Marian Falk Medical Research Trust Fund.
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