Mehmet Fatih Yanik: Catalogue data in Spring Semester 2018

Name Prof. Dr. Mehmet Fatih Yanik
Professur für Neurotechnologie
ETH Zürich, Y17 L 76
Winterthurerstrasse 190
8057 Zürich
Telephone+41 44 633 31 65
DepartmentInformation Technology and Electrical Engineering
RelationshipFull Professor

227-0395-00LNeural Systems6 credits2V + 1U + 1AR. Hahnloser, M. F. Yanik, B. Grewe
AbstractThis course introduces principles of information processing in neural systems. It covers basic neuroscience on a level suitable for engineering students. The course introduces neuroscientific techniques used in studies of both animal behaviors and their underlying neural mechanisms. Students learn about neural signaling principles gained from experimental data.
ObjectiveThis course introduces
- Methods for monitoring of animal behaviors in complex environments
- Information-theoretic principles of behavior
- Methods for performing neurophysiological recordings in intact nervous systems
- Methods for manipulating the state and activity in selective neuron types
- Methods for reconstructing the synaptic networks among neurons
- Information decoding from neural populations, and
- Neurobiological principles for machine learning.
ContentFrom active membranes to propagation of action potentials. From synaptic physiology to synaptic learning rules. From receptive fields to neural population decoding. From fluorescence imaging to connectomics. Methods for reading and manipulation neural ensembles. From classical conditioning to reinforcement learning. From the visual system to deep convolutional networks. Brain architectures for learning and memory. From birdsong to computational linguistics.
Prerequisites / NoticeBefore taking this course, students are encouraged to complete "Bioelectronics and Biosensors" (227-0393-10L)