Contrast-Dependence of Temporal Frequency Tuning in Mouse V1
| Autor: | Mehran Ahmadlou, Daniela Camillo, J. Alexander Heimel |
|---|---|
| Přispěvatelé: | Netherlands Institute for Neuroscience (NIN) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Visual perception genetic structures media_common.quotation_subject Stimulus (physiology) divisive normalization lcsh:RC321-571 03 medical and health sciences 0302 clinical medicine Perception medicine visual cortex lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry mouse media_common Original Research Physics High contrast V1 business.industry temporal frequency General Neuroscience Model selection Response characteristics Pattern recognition contrast 030104 developmental biology Visual cortex medicine.anatomical_structure Visual contrast Artificial intelligence business 030217 neurology & neurosurgery Neuroscience |
| Zdroj: | Frontiers in Neuroscience Frontiers in Neuroscience, 14. Frontiers Media SA Frontiers in Neuroscience, Vol 14 (2020) |
| ISSN: | 1662-453X 1662-4548 |
| Popis: | The perception of speed is influenced by visual contrast. In primary visual cortex (V1), an early stage in the visual perception pathway, the neural tuning to speed is directly related to the neural tuning to temporal frequency of stimulus changes. The influence of contrast on speed perception can be caused by the joint dependency of neural responses in V1 on temporal frequency and contrast. Here, we investigated how tuning to contrast and temporal frequency in V1 of anesthetized mice are related. We found that temporal frequency tuning is contrast-dependent. V1 was more responsive at lower temporal frequencies than the dLGN, consistent with previous work at high contrast. The temporal frequency tuning moves toward higher temporal frequencies with increasing contrast. The low half-maximum temporal frequency does not change with contrast. The Heeger divisive normalization equation provides a good fit to many response characteristics in V1, but does not fit the dependency of temporal frequency and contrast with set of parameters for all temporal frequencies. Different mechanisms for normalization in the visual cortex may predict different relationships between temporal frequency and contrast non-linearity. Our data could help to make a model selection. |
| Databáze: | OpenAIRE |
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