Complex dynamics of V1 population responses explained by a simple gain-control model
By Y. Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, E. Seidemann. 2009
79 citations recorded by the source corpus.
Summary To understand sensory encoding and decoding, it is essential to characterize the dynamics of population responses in sensory cortical areas. Using voltage sensitive dye imaging in awake, fixating monkeys, we obtained complete quantitative measurements of the spatiotemporal dynamics of V1 responses over the entire region activated by small, briefly-presented, stimuli. The responses exhibit several complex properties: they begin to rise approximately simultaneously over the entire active region, but reach their peak more rapidly at the center. However, at stimulus offset the responses fall simultaneously and at the same rate at all locations. While response onset depends on stimulus contrast, both the peak spatial profile and the offset dynamics are independent of contrast. We show that these results are consistent with a simple population gain-control model that generalizes earlier single-neuron contrast gain-control models. This model provides valuable insight and is likely to be applicable to other brain areas.
Subfields: Biophysics, Cognitive Neuroscience
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In Cognitive Neuroscience
Citations in the corpus
- Normalization as a canonical neural computation (2011, neutral): “This characterization of the responses of neural population”
- Primary Visual Cortex Represents the Difference Between Past and Present (2013, background): “Such behavior might especially apply to the rising phase of the membrane potential after stimulus onsets (Jancke et al. 2004; Sit et al. 2009).”
- Cortical travelling waves: mechanisms and computational principles (2018, unknown): “3c) , providing evidence against the gain-control mechanism previously suggested 74 .”