Grégory Dumont

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Understanding neural variability is currently one of the biggest challenges in neuroscience. Using theory and computational modeling, we study the behavior of a globally coupled inhibitory neural network, in which each neuron follows a purely stochastic two-state spiking process. We investigate the role of both this intrinsic randomness and the conduction(More)
Gamma-band synchronization has been linked to attention and communication between brain regions, yet the underlying dynamical mechanisms are still unclear. How does the timing and amplitude of inputs to cells that generate an endogenously noisy gamma rhythm affect the network activity and rhythm? How does such ”communication through coherence” (CTC) survive(More)
Cortical gamma frequency (30-100 Hz) are known to be associated with many cognitive processes. Understanding the dynamics in the gamma band is crucial in neu-roscience. Stochastic gamma oscillations due to finite size effects were reported using the stochastic Wilson-Cowan model ([1] and [2]). On the other hand, temporal correlation can be induced by(More)
Figure 1: Application of our example-based fracturing method on different scenes. Photographs of input fracture patterns are shown in the insets. Left to right: (1) a bathroom tile has been broken, and each fragment can be manipulated separately. (2) Fracture pattern obtained from a ground tile photograph applied on a basin. (3) Sidewalk and curb from a(More)
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