Humboldt Universitaet zu Berlin Faculty of Mathematics and Natural Sciences Department of Physics auf deutsch

4020240160 Neural Noise and Neural Signals       

Präsenzkurs

classroom language

EN

aims

Mastering theoretical methods to describe the stochastic activity and signal transmission in/by neurons

requirements

Interest in interdisciplinary research and theoretical approaches using stochastic models in neuroscience

structure / topics / contents

Key concepts from nonlinear dynamics (bifurcations, fixed points, manifolds, limit cycle), stochastic processes (Langevin and Fokker-Planck equations, Master equation, linear response theory), information theory (mutual information and its lower and upper bounds), point processes (Poisson process; renewal vs. nonrenewal point process). Neural noise sources and how they enter different neuron models, the diffusion approximation of synaptic input or channel fluctuations by a Gaussian noise, measures of spike train and interval variability and their interrelation, Poisson spike train: entropy & information content, one-dimensional stochastic integrate-and-fire (IF) neurons: spontaneous activity, response to weak stimuli & information transfer, different forms of stochastic resonance in single neurons and neuronal populations, multidimensional IF models: subthreshold resonances, synaptic filtering & spike-frequency adaptation, effect of nonrenewal behavior of the spontaneous activity on the information transfer, outlook: stimulus-driven correlations; networks of stochastic neurons.

assigned modules

P24.3.f

amount, credit points; Exam / major course assessment

4 SWS, 6 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)
Oral exam

other

1) The lecture takes place in the lecture hall of the Bernstein Center Berlin
(Philippstr. 13, house 6) in Mitte [this lecture hall is not shown in the above list]

2) The tutorial for the course takes place in the seminar room of the Bernstein Center Berlin
(Philippstr. 13, house 6) in Mitte [also this room is not shown in the above list]

contact

Prof. Lindner (In Adlershof: NEW 15, 3.412 and [in Mitte] Philippstr. 13, Haus 2, office 1.17)

Moodle link:

http://moodle.hu-berlin.de/course/view.php?id=124736