Computational Systems Neuroscience Group
Computational System Neuroscience Group

Computational neuroscience seminar

When and Where:

Seminar is held both in-person (Prague, Malostranské náměstí 25, room 510) and remotely (Remote meeting link).

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
1.11 Luca Baroni Most discriminative stimuli for functional cell type clustering Charles University
15.11 David Berling Modeling apical and basal tree contribution to orientation selectivity in a mouse primary visual cortex layer 2/3 pyramidal cell Charles University
22.11 Remy Cagnol Horizontal cortical connections shape intrinsic traveling waves into feature-selective motifs that regulate perceptual sensitivity Charles University
29.11 Aitor Morales-Gregorio Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region Charles University
6.12 Pavel Haman Cell-type specific projection patterns promote balanced activity in cortical microcircuits Charles University
13.12 Karolína Korvascová Long-range phase synchronization of high-frequency oscillations in human cortex Charles University
3.1 Daria Morozova Optogenetic stimulation of the primary visual cortex drives activity in the visual association cortex Charles University
10.1 Tanguy Damart Single-neuron perturbations reveal feature-specific competition in V1 Charles University
17.1 Jonáš Prokop MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity Charles University
24.1 Martin Gráf Exploring neural architectures for simultaneously recognizing multiple visual attributes Charles University
31.1 Tomáš Čížek BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? Charles University
7.2 Matěj Voldřich Cortical reactivation of spatial and non-spatial features coordinates with hippocampus to form a memory dialogue Charles University
21.2 Tibor Rózsa The developmental emergence of reliable cortical representations Charles University
14.3 Aitor Morales-Gregorio Neuronal travelling waves explain rotational dynamics in experimental datasets and modelling Charles University
21.3 Tibor Rózsa Visual experience orthogonalizes visual cortical stimulus responses via population code transformation Charles University
28.3 Katarína Studeničová Coordinating brain-distributed network activities in memory resistant to extinction Charles University
4.4 Pavel Haman TBA Charles University
11.4 Tanguy Damart Functional organization of excitatory synaptic strength in primary visual cortex Charles University
25.4 Karolína Korvasová Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks Charles University
16.5 Jonáš Prokop TBA Charles University
6.6 Radoslav Jochman Biologically realistic RNNs capture fine-scale dynamics in primary visual cortex Charles University

Past talks

 

2023-2024 talks

2022-2023 talks

2021-2022 talks