phy734 - Introduction to Neurophysics (Complete module description)

Präsenzzeit: 56 Stunden Selbststudium: 124 Stunden

Bachelor in Physics, Technology and Medicine or equivalent knowledge

Students will learn to recognize the dynamics in neuronal networks as the result of an interplay of physical, chemical and biological processes. Overview over major physical measurement procedures for the quantification of structure and function in neuronal systems. Using the language of mathematics as a fundamental tool for the description of underlying biophysical processes with stochastics, linear algebra, differential equations. Information as represented on different length- and timescales: From microscopic processes to macroscopic functional models. Learning and adaptation as adjustment of a biophysical system to its environment.

• Biophysics of Synaptic and Neuronal Transmission

• Modeling of individual nerve cells: Hodgkin-Huxley model, integrate and fire model, rate model

• Biophysics of neuronal sensory systems in auditory, visual and mechanosensory modalities

• Description of neuronal dynamics: dynamical systems theory, from microscopic to macroscopic activity

• Principles of measurement methods for neuronal activity: from single-cell recordings to EEG, MEG and fMRI

• Description of the function of small neural networks: receptive fields and their description with linear and non-linear models

• The neural code: spikes, spike trains, population coding, temporal vs. rate code

• Decoding of neuronal activity and its applications

• Simulation of artificial neural networks as a functional model, Hopfield network, Boltzmann machine, perceptron and deep networks

• Information-theoretic approaches, stimulus statistics, entropy, mutual information

• Learning and plasticity, conditioning and reinforcement learning, Hebbian learning, LTP, LTD

- Chow, Gutkin, Hansel, Meunier, Dalibard (Eds.): Methods and Models in Neurophysics (2003)
- Dayan, Abbott: Theoretical Neuroscience (2005)
- Galizia, Lledo (Eds.): Neurosciences, from molecule to behauvior (2013)
- Gerstner, Kistler, Naud, Paninski: Neuronal Dynamics - From single neurons to networks and models of
  Cognition (2014)
- Rieke, Warland, de Ruyter van Steveninck, Bialek: Spikes - Exploring the neural code (1999)
-Schnupp, Nelken, King: Auditory Neuroscience (2010)

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