Subjects

Your browser does not support JavaScript, or its support is disabled. Some features may not be available.

Computational neuroscience seminar - NAIL128

Title:	Seminář z výpočetních neurověd
Guaranteed by:	Department of Software and Computer Science Education (32-KSVI)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2022
Semester:	both
E-Credits:	3
Hours per week, examination:	1/1, C [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	English
Teaching methods:	full-time
Teaching methods:	full-time
Note:	you can enroll for the course repeatedly you can enroll for the course in winter and in summer semester

Guarantor:	Mgr. Ján Antolík, Ph.D.

Opinion survey results Examination dates WS schedule SS schedule Noticeboard

Annotation -

Last update: RNDr. Tomáš Holan, Ph.D. (27.05.2021)

This course will focus on familiarizing students with the latest advances in the field of computational neuroscience. The course will be a mixture of invited talks, journal paper reviews and discussion sessions. The course is open to all those interested in neuroscience, particularly from the point of view of modelling of the neuralsystems.

Aim of the course -

Last update: RNDr. Tomáš Holan, Ph.D. (27.05.2021)

Get familiar with AI issues in the context of various other disciplines

Enhance/deepen AI knowledge with social context

Course completion requirements -

Last update: RNDr. Tomáš Holan, Ph.D. (27.05.2021)

To obtain the credit, you must attend at least 10seminars; it is mandatory to actively participate in the discussion to count the participation in the seminar. Next, each participant has to presentone journal article during the course. In addition, a final test is required to obtain the credit.

Literature -

Last update: RNDr. Tomáš Holan, Ph.D. (27.05.2021)

Peter Dayan and L. F. Abbott. 2005. Theoretical Neuroscience:Computational andMathematical Modeling of Neural Systems. The MIT Press.

Willmore, B. D. B., & Smyth, D. (2003). Methods forfirst-order kernel estimation: simple-cellreceptive fields from responses to natural scenes.Network, 14(3), 553-77

Dan A. Butts (2019). Data-driven approaches to understanding visual neuron activity. AnnualReview of Vision Science, 5:451-457,

Walker, E. Y., Sinz, F. H., Froudarakis, E., Fahey,P. G., Muhammad, T., Ecker, A. S., ... Tolias,A. S. (2018). Inception in visual cortex: in vivo-silicoloops reveal most exciting images. BioRxiv

Freeman, J., Ziemba, C. M., Heeger, D. J., Simoncelli,E. P., & Movshon, J. A. (2013). Afunctional and perceptual signature of the secondvisual area in primates. Nature Neuroscience,16(7), 974-81.

Syllabus -

Last update: Mgr. Ján Antolík, Ph.D. (07.10.2022)

The introductory meeting will be followed by a series of invited lectures, discussion seminars, and presentations of articles. In the first few hours, we will agree on who will present which article and when. Presentations of articles will be concentrated more in the second half of the semester, so that individual students have time to prepare. At the end of the semester, there will be a final meeting and a test. An important part of the seminar will be the invited lectures, which will change each semester, and their planning will therefore take place operatively each semester.

All information regarding this class can be found at: http://csng.mff.cuni.cz/compneuroseminar.html