Why do we see it that way ? William Bialek
Conférence de William Bialek lors du colloquium 2017/2018 du département de physique de l'ENS.
In many systems we can describe emergent macroscopic behaviors, quantitatively, using models that are much simpler than the underlying microscopic interactions ; we understand the success of this simplification through the renormalization group. Could similar simplifications succeed in complex biological systems ?
I will discuss explicit coarse-graining procedures, analogous to real-space and momentum space RG, that we apply to experimental data on the electrical activity in large populations of neurons in the mouse hippocampus. Probability distributions of coarse-grained variables seem to approach a fixed non-Gaussian form, and we see evidence of power-law dependencies in both static and dynamic quantities as we vary the coarse-graining scale over two decades. Taken together, these results suggest that the collective behavior of the network is described by a non-trivial fixed point.
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William Bialek
Cursus :
William Bialek est physicien, professeur de physique à l'Université de Princeton. Ses recherches se situent à l'interface de la physique et de la biologie.
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