Motion Integration and Disambiguation by Spiking V1-MT-MSTl Feedforward-Feedback Interaction
| Autor: | Maximilian P. R. Lohr, Daniel Schmid, Heiko Neumann |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
Computer science business.industry 05 social sciences Dynamics (mechanics) Population Normalization (image processing) Feed forward Motion detection Pattern recognition Stimulus (physiology) Inhibitory postsynaptic potential 050105 experimental psychology Motion (physics) Visual field 03 medical and health sciences 0302 clinical medicine Feature (machine learning) Excitatory postsynaptic potential 0501 psychology and cognitive sciences Artificial intelligence education business 030217 neurology & neurosurgery |
| Zdroj: | IJCNN |
| DOI: | 10.1109/ijcnn.2019.8852029 |
| Popis: | Motion detection registers items within restricted regions in the visual field. Early stages of cortical processing of motion advance this estimate by integrating spatio-temporal input responses in area V1 to build feature representations of direction and speed in area MT of primate cortex. The neural mechanisms underlying such processes are not yet fully understood. We propose a neural model of hierarchically organized areas V1, MT, and MSTl, with feedforward and feedback connections. Each area serves a distinct purpose and is formally represented by layers of model cortical columns composed of excitatory and inhibitory spiking neurons with conductance-based activation dynamics. Recurrent connections enhance activations by modulatory interaction and divisive normalization. MT population activities allow to estimate motion direction and speed which we show for various stimuli. The importance of the feedback connections for disambiguation is demonstrated in simulated lesion studies. |
| Databáze: | OpenAIRE |
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