Decoding functional representations from population activity in V1 recorded during sleep
| Název práce v češtině: | Dekódování funkčních reprezentací z populační aktivity v primární zrakové kůře V1 zaznamenané během spánku |
|---|---|
| Název v anglickém jazyce: | Decoding functional representations from population activity in V1 recorded during sleep |
| Klíčová slova: | Primární zraková kůra V1, Funkční mapy, Spontánní mozgová aktivita, Vizuální protézy |
| Klíčová slova anglicky: | Primary visual cortex V1, Functional maps, Spontaneous brain activity, Neural decoding, Visual prosthetics |
| Akademický rok vypsání: | 2024/2025 |
| Typ práce: | bakalářská práce |
| Jazyk práce: | angličtina |
| Ústav: | Katedra buněčné biologie (31-151) |
| Vedoucí / školitel: | Mgr. Ján Antolík, Ph.D. |
| Řešitel: | Bc. Radoslav Jochman - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 31.01.2025 |
| Datum zadání: | 31.01.2025 |
| Datum potvrzení stud. oddělením: | 31.01.2025 |
| Datum odevzdání elektronické podoby: | 29.04.2025 |
| Datum proběhlé obhajoby: | 17.06.2025 |
| Oponenti: | Mgr. Jiří Hammer, Ph.D. |
| Předběžná náplň práce |
| viz popis v anglické verzi |
| Předběžná náplň práce v anglickém jazyce |
| Neurons in the visual system are sensitive to different features of visual stimulus such as orientation, phase of spatial frequency. For many of these features their selectivity is organised topologically along the cortical surface in so-called functional maps. It has been shown that in the primary visual cortex (V1), spontaneous activity, while stochastic, is shaped by these functional maps, such that it is possible to decodethese functional maps from this spontaneous activity. Such ability to effectively decode coding performed in the visual cortex just from its spontaneousactivity is potentially useful for development of visual prosthetic devices for vision remediation in blind patients, in which the coding cannotbe probed directly with visual stimuli. Our group has recently developed a new method for decoding orientation preference maps from spontaneous activity recorded on sparseelectrode arrays from awake animal (macaque) and human V1. We hypothesize that duch decoding could be even more effective if doneon spontaneous activity recorded in sleep. We have access to such sleep recordings from human V1. In this bachelor thesis, students will apply our novel decoding method on the human sleep recordings and evaluate how well can the mapsbe decoded from sleep data. The student will familiarize himself with the neuroscientific context, our method and data, pre-process it, applythe new method, analyse and finally interpret the results. |