Open Collections

Spontaneous activity and information transmission in neural populations

Banff International Research Station for Mathematical Innovation and Discovery

In my talk I will first review features of the spontaneous activity of nerve cells in neural populations and in recurrent networks, ranging from effects of cellular properties (e.g. noise and leak currents) and slow external noise (up/down transitions in a driving population) to the slow fluctuations that can build up due to the recurrent connectivity. I will then discuss how these features affect information transmission and stimulus detection, for instance, enable or suppress information filtering, benefit overall population coding, or lead to the detection of a short single cell stimulation in a large recurrent network.

Mathematics; Statistics; Probability theory and stochastic processes; Applied statistics

video/mp4

Author affiliation: Bernstein Center for Computational Neuroscience Berlin / Humboldt-Universitat zu Berlin

2017-08-30

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/62862

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/4.0/