Status | Confirmed |
Seminar Series | SEM-PHYS-ENS |
Subjects | physics.bio-ph |
Date | Tuesday 29 May 2018 |
Time | 17:15 |
Institute | DPT-PHYS-ENS |
Seminar Room | Jean Jaures (29 rue d'Ulm) |
Speaker's Last Name | Bialek |
Speaker's First Name | William |
Speaker's Email Address | |
Speaker's Institution | Princeton University |
Title | Towards a renormalization group for networks of neurons |
Abstract | 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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