CSNG / Computational neuroscience seminar

Computational neuroscience seminar

When and Where:

Seminar is held both in-person (Prague, Malostranské náměstí 25, room 510) and remotely (Remote meeting link) every Friday at 14:00.

Synopsis

This seminar will focus on familiarizing participants with the latest advances in the field of computational neuroscience. It will be a mixture of invited talks, journal paper reviews and discussion sessions. The seminar is open to all those interested in neuroscience, particularly from the point of view of modelling of the neural systems. All participants are encouraged to present and actively take part in discussions. Order of presenters, as well as seminar topics with be planned during the course of the semester with appropriate time in advance.

Requirements for students to gain credits

To obtain credits, it is required to attend at least 10 seminars, actively participate in the discussion and present one journal article during the course or the semester.

Upcoming talks

Date	Presenter	Topic	Presenter’s affiliation
23.05.24	Remy Cagnol	Foundations of visual form selectivity for neurons in macaque V1 and V2	Charles University

Past talks

Date	Presenter	Topic	Presenter’s affiliation
13.10.23	David Berling	Cortical layer–specific critical dynamics triggering perception	Charles University
20.10.23	Remy Cagnol	Cascaded normalizations for spatial integration in the primary visual cortex of primates	Charles University
27.10.23	Luca Baroni	Bipartite invariance in mouse primary visual cortex	Charles University
03.11.23	Tibor Rózsa	Contextual Modulation of Feedforward Inputs to Primary Visual Cortex	Charles University
10.11.23	Matěj Voldřich	Representations in human primary visual cortex drift over time	Charles University
01.12.23	Jan Antolik	What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?	Charles University
08.12.23	Luca Baroni	The feature landscape of visual cortex	Charles University
15.12.23	Katarína Studeničová	Robust dynamic community detection with applications to human brain functional networks	Charles University
12.01.24	David Berling	Electrical Compartmentalization in Neurons	Charles University
26.01.24	Jan Antolik	Layerwise complexity-matched learning yields an improved model of cortical area V2	Charles University
02.02.24	Remy Cagnol	The logic of recurrent circuits in the primary visual cortex	Charles University
15.03.24	Tibor Rózsa	Self-organization of modular activity in immature cortical networks	Charles University
22.03.24	David Berling	Integration of cortical population signals for visual perception	Charles University
05.04.24	Mathys Delattre	Beyond Sight: Probing Alignment Between Image Models and Blind V1	Charles University / Sorbonne Université
12.04.24	Katarína Studeničová	Visual evoked feedforward–feedback traveling waves organize neural activity across the cortical hierarchy in mice	Charles University
10.05.24	Jan Antolik	Compact deep neural network models of visual cortex	Charles University
17.05.24	Tanguy Damart	Review on findings on intracortical electrical microstimulation	Charles University