NAIL088: Informatics and Cognitive Science 2
Synopsis
This course gives an introduction into computational neuroscience and cognitive psychology. The second term will focus primarily on visual system, computational modelling, memory systems, spatial cognition, motor systems, but neural and behavioral learning will also be covered. Starting from school year of 2017/2018 this lecture is given in English.
Lecture overview and slides
The course happanes every Thursday at 9:00.
| 24.2. | Introduction | (slides) |
| 3.3. | Sub-cortical vision, color, binocularity | (slides) |
| 10.3. | Medium-to-high level vision I | (slides) |
| 17.3. | Mean field approaches (Karolína Korvasová) | |
| 24.3. | Medium-to-high level vision II | (slides) |
| 31.3. | Hippocampus (Karel Ježek) | |
| 7.4. | Computational modelling: normative models | (slides) |
| 14.4. | Synaptic plasticity (Daniel Novák) | |
| 21.3. | Computational modelling: system identification | (slides) |
| 28.4. | Methodology of neurobiology (Kamil Vlček) | |
| 5.5. | Memory (Kamil Vlček) | |
| 12.5. | Computational modelling: dynamical models | |
| 19.5. | Spatial cognition (Kamil Vlček) |
Lab work
| 16.3. 10:40 | Mean field approaches I | |
| 17.3. 9:00 | Mean field approaches II | |
| 23.3. 10:40 | Mean field approaches III |