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BP: Fachverband Biologische Physik
BP 2: Neurophysics I
BP 2.4: Vortrag
Montag, 16. März 2015, 10:15–10:30, H 1058
How does addition, deletion, or shifting of spikes by intrinsic noise affect signal transmission in spiking neurons? — •Sergej Voronenko1,2, Wilhelm Stannat1,3, and Benjamin Lindner1,2 — 1Bernstein Center for Computational Neuroscience, Berlin, Germany — 2Humboldt University, Berlin, Germany — 3TU Berlin, Berlin, Germany
We study analytically how different effects of intrinsic noise on the output of a spiking neuron influence signal transmission. To this end, we consider populations of neurons driven by a strong common time-dependent signal, where each neuron is subject to independent intrinsic noise. In this setup the intrinsic noise degrades the transmission of information by single neurons. On the population level, however, the intrinsic noise can lead to enhancement of the information transmission, an effect known as suprathreshold stochastic resonance. The strength and the robustness of the stochastic resonance effect is determined by whether the output spikes of the single neurons are shifted by the intrinsic noise, or whether the intrinsic noise adds and deletes output spikes. Our investigation is one of the first analytical studies of the transmission of information by neurons with highly correlated input.