Richard Hahnloser: Katalogdaten im Frühjahrssemester 2022 |
| Name | Herr Prof. Dr. Richard Hahnloser |
| Lehrgebiet | Neuroinformatik |
| Adresse | Institut für Neuroinformatik ETH Zürich, Y55 G 27 Winterthurerstrasse 190 8057 Zürich SWITZERLAND |
| Telefon | +41 44 635 30 51 |
| hrichard@ethz.ch | |
| Departement | Informationstechnologie und Elektrotechnik |
| Beziehung | Ordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 227-0395-00L | Neural Systems | 6 KP | 2V + 1U + 1A | R. Hahnloser, M. F. Yanik, B. Grewe | |
| Kurzbeschreibung | This course introduces principles of information processing in neural systems. It covers basic neuroscience for engineering students, experiment techniques used in animal research and methods for inferring neural mechanisms. Students learn about neural information processing and basic principles of natural intelligence and their impact on artificially intelligent systems. | ||||
| Lernziel | This course introduces - Basic neurophysiology and mathematical descriptions of neurons - Methods for dissecting animal behavior - Neural recordings in intact nervous systems and information decoding principles - Methods for manipulating the state and activity in selective neuron types - Neuromodulatory systems and their computational roles - Reward circuits and reinforcement learning - Imaging methods for reconstructing the synaptic networks among neurons - Birdsong and language - Neurobiological principles for machine learning. | ||||
| Inhalt | 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. | ||||
| Voraussetzungen / Besonderes | 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 programming or literature review 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 as an incoming student. UZH Module Code: INI505 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | 8 KP | 17A | R. Hahnloser | |
| Kurzbeschreibung | Usually a student selects the topic of a Master Short Project in consultation with his or her mentor. | ||||
| Lernziel | 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 as an incoming student. UZH Module Code: INI506 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | 8 KP | 17A | R. Hahnloser | |
| Kurzbeschreibung | Usually a student selects the topic of a Master Short Project in consultation with his or her mentor. | ||||
| Lernziel | 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 as an incoming student. UZH Module Code: INI503 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html Only students who fulfil the following criteria are allowed to begin with their master thesis: a. successful completion of the bachelor programme; b. fulfilling of any additional requirements necessary to gain admission to the master programme. | 45 KP | 96D | R. Hahnloser | |
| Kurzbeschreibung | The Master thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working. | ||||
| Lernziel | see above | ||||
| Voraussetzungen / Besonderes | 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 as an incoming student. UZH Module Code: INI504 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | 29 KP | 62D | R. Hahnloser | |
| Kurzbeschreibung | The Master thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working. | ||||
| Lernziel | see above | ||||
| Voraussetzungen / Besonderes | 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 as an incoming student. UZH Module Code: INI701 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | 0 KP | 1K | S.‑C. Liu, R. Hahnloser, V. Mante | |
| Kurzbeschreibung | 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. | ||||
| Lernziel | 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. | ||||
| Inhalt | 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. | ||||