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Computational Neuroscience: A Lecture Series from Models to Applications

Course 0000000093 in SS 2021

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Associate Professorship of Audio Information Processing (Prof. Seeber)
Lecturers Stefan Glasauer
Harald Luksch
Bernhard Seeber
Dates Tue, 18:00–19:30, virtuell

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks A. General overview: Anatomical and physiological basis of neuroscience (2VL, Luksch): - Motivation for doing computational Neuroscience; Neuroanatomy primer: General layouts of nervous systems, overview of the human brain and forebrain, morphology of neurons, visual and auditory pathways - Neurophysiology primer: Basic biology of neurons, resting and acting potentials, synaptic transmission, plasticity of neuronal connections, dendritic processing B. Modeling: Neural dynamics and coding (3 VL, Herz, Ahmadi) - Modeling dynamics and computations of single neurons - Theory of neural networks and learning - Deep Learning C. Towards integration in the nervous system (4VL, Sirota, Busse, Wachtler, Glasauer): - Systems mechanisms of learning and memory: theory, methods and their application - Visual system I: neurobiology - Visual system II: computation - Spatial perception D. Engineering for Neuroscience and Neuroprosthetics (3 VL, Seeber, Conradt): - Neuroprosthetics I: Cochlea Implants: System overview and stimulation algorithms - Neuroprosthetics II: Cochlea Implants: Electric stimulation of the auditory nerve, phenomenological models - Engineering applications of brain models An overview of current research at the Bernstein Center for Computational Neuroscience Munich. Updates of the teaching content and further material can be found on the BCCN page (http://www.bccn-munich.de/teaching/computational-neuroscience).
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
WS 2021/2 Computational Neuroscience: A Lecture Series from Models to Applications Hemmert, W. Luksch, H. Seeber, B. Tue, 18:00–19:30, virtuell
WS 2020/1 Computational Neuroscience: A Lecture Series from Models to Applications Hemmert, W. Luksch, H. Seeber, B. Tue, 18:00–19:30, virtuell
SS 2020 Computational Neuroscience: A Lecture Series from Models to Applications Glasauer, S. Luksch, H. Seeber, B.
WS 2019/20 Computational Neuroscience: A Lecture Series from Models to Applications Hemmert, W. Luksch, H. Macke, J. Seeber, B. Tue, 18:00–19:30, MSB E.126
SS 2019 Computational Neuroscience: A Lecture Series from Models to Applications Glasauer, S. Luksch, H. Seeber, B.
WS 2018/9 Computational Neuroscience: A Lecture Series from Models to Applications Hemmert, W. Luksch, H. Röhrbein, F. Seeber, B. Wolfrum, B. Tue, 18:00–19:30, MSB E.126
SS 2018 Computational Neuroscience: A Lecture Series from Models to Applications Tue, 18:00–19:30
WS 2017/8 Computational Neuroscience: A Lecture Series from Models to Applications Tue, 18:00–19:30, MSB E.126
SS 2017 Computational Neuroscience: A Lecture Series from Models to Applications Tue, 18:00–19:30
WS 2016/7 Computational Neuroscience: A Lecture Series from Models to Applications
SS 2016 Computational Neuroscience: A Lecture Series from Models to Applications
WS 2015/6 Computational Neuroscience: A Lecture Series from Models to Applications
SS 2015 Computational Neuroscience: A Lecture Series from Models to Applications
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