Title of Course: Computational Neuroscience -Re-Engineering the Brain
Exam number: XM 1460
Length of course: 2 hours per week
Type of course: lecture
Language: English
Lecturer: Dr. U.G. Hofmann
Aim of course:

• Provide a basic understanding on the special needs and requirements of modern neurosciences, with an emphasis both on technology and theory.
  

Course Requirements: Basic knowledge of signal processing
Recommended Literature:

• Dayan, P, Abbott, LF (2001) Theoretical neuroscience , Webversion:
• http://play.ccs.brandeis.edu/abbott/book/
• Windhorst U, Johansson H (1999) Modern Techniques in Neuroscience Research , 1 Edition. Berlin: Springer.
• Kandel ER, Schwartz JH, Jessel TM (1991) Principles of neural science , 3rd Edition. London: Prentice-Hall.
• Nicholls JG, Martin AR, Wallace BG (1992) From Neuron to Brain, 3rd Edition. Sunderland, MA: Sinauer Assoc., Inc.
• Koch C, Segev I (1998) Methods in Neuronal Modeling, 2nd Edition. Cambridge, MA: MIT Press.
• Rieke F, Warland D, de Ruyter van Steveninck R, Bialek W, eds (1998)Spikes - Exploring the Neural Code. Cambridge, MA: MIT Press.

Shares Module with: Diploma Students in Informatics
Content:

• Macroscopic Level
• Anatomy, imaging devices CT, MRI, fMRI (BOLD), PET, SPECT
• Functional Anatomy, EEG, ERP, MEG
• Pathologies and Diseases
• Deep Brain Stimulation and Parkinsons Disease, Brain pacemaker
• Microscopic Level
• Technology of Electrophysiology
• Membrane and Ion Channels
• Single cell physiology
• Biophysics of the neuron
• Hodgkin-Huxley-model of action potentials
• Human Brain Interfaces
• Mesoscopic Level
• Micro-anatomy
• Network function: The sum is bigger than its constituents
• Binding and synchronicity
• Modeling and Simulations
• Realistic modeling of single cells and networks
• Explaining and calculating neuron properties
• Neuromorphic systems and technical copies
• Elementary building blocks
• Technical counterparts
• Theoretical Neuroscience
• Information theory and Synfire chains
• Hebb's learning rules

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