Richard Hahnloser: Catalogue data in Spring Semester 2019 |
| Name | Prof. Dr. Richard Hahnloser |
| Field | Neuroinformatics |
| Address | Institut für Neuroinformatik ETH Zürich, Y55 G 27 Winterthurerstrasse 190 8057 Zürich SWITZERLAND |
| Telephone | +41 44 635 30 51 |
| hrichard@ethz.ch | |
| Department | Information Technology and Electrical Engineering |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 227-0395-00L | Neural Systems | 6 credits | 2V + 1U + 1A | R. Hahnloser, M. F. Yanik, B. Grewe | |
| Abstract | This course introduces principles of information processing in neural systems. It covers basic neuroscience for engineering students, experimental techniques used in studies of animal behavior and underlying neural mechanisms. Students learn about neural information processing and basic principles of natural intelligence and their impact on efforts to design artificially intelligent systems. | ||||
| Learning objective | This 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, - Sensorimotor learning, and - Neurobiological principles for machine learning. | ||||
| Content | From 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 / Notice | Before taking this course, students are encouraged to complete "Bioelectronics and Biosensors" (227-0393-10L). As part of the exercises for this class, students are expected to complete a (python) programming project to be defined at the beginning of the semester. | ||||
| 227-1036-01L | NSC Master Short Project I (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI505 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | 8 credits | 17A | R. Hahnloser | |
| Abstract | Usually a student selects the topic of a Master Short Project in consultation with his or her mentor. | ||||
| Learning objective | see above | ||||
| 227-1036-02L | NSC Master Short Project II (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI506 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | 8 credits | 17A | R. Hahnloser | |
| Abstract | Usually a student selects the topic of a Master Short Project in consultation with his or her mentor. | ||||
| Learning objective | see above | ||||
| 227-1041-01L | NSC Master's Thesis (long) and Exam (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI503 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | 45 credits | 96D | R. Hahnloser | |
| Abstract | The Master thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working. | ||||
| Learning objective | see above | ||||
| Prerequisites / Notice | Application forms can be downloaded at http://www.nsc.uzh.ch/?id=21602&master=10511&top=10532. Note: the oral part of the exam must be completed before the written part. | ||||
| 227-1041-02L | NSC Master's Thesis (short) and Exam (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI504 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | 29 credits | 62D | R. Hahnloser | |
| Abstract | The Master thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working. | ||||
| Learning objective | see above | ||||
| Prerequisites / Notice | Application forms can be downloaded at http://www.nsc.uzh.ch/?id=21602&master=10511&top=10532. Note: the oral part of the exam must be completed before the written part. | ||||
| 227-1043-00L | Neuroinformatics - Colloquia (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI701 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | 0 credits | 1K | S.‑C. Liu, R. Hahnloser, V. Mante | |
| Abstract | The colloquium in Neuroinformatics is a series of lectures given by invited experts. The lecture topics reflect the current themes in neurobiology and neuromorphic engineering that are relevant for our Institute. | ||||
| Learning objective | The goal of these talks is to provide insight into recent research results. The talks are not meant for the general public, but really aimed at specialists in the field. | ||||
| Content | The topics depend heavily on the invited speakers, and thus change from week to week. All topics concern neural computation and their implementation in biological or artificial systems. | ||||