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Journal Article

Dynamic fading memory and expectancy effects in the monkey primary visual cortex

MPS-Authors

Yiling,  Yang
Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main 60528, Germany.;

Klon-Lipok,  Johanna
Neurophysiology Department, Max Planck Institute for Brain Research, Max Planck Society;

Shapcott,  Katharine
Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main 60528, Germany.;

Lazar,  Andreea
Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main 60528, Germany.;

/persons/resource/persons141798

Singer,  Wolf       
Neurophysiology Department, Max Planck Institute for Brain Research, Max Planck Society;
Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main 60528, Germany.;
Frankfurt Institute for Advanced Studies, Frankfurt am Main 60438, Germany.;

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https://pubmed.ncbi.nlm.nih.gov/38354261/
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Citation

Yiling, Y., Klon-Lipok, J., Shapcott, K., Lazar, A., & Singer, W. (2024). Dynamic fading memory and expectancy effects in the monkey primary visual cortex. PNAS, 121(8): 2314855121. doi:10.1073/pnas.2314855121.


Cite as: https://hdl.handle.net/21.11116/0000-000E-70BA-2
Abstract
In order to investigate the involvement of the primary visual cortex (V1) in working memory (WM), parallel, multisite recordings of multi-unit activity were obtained from monkey V1 while the animals performed a delayed match-to-sample (DMS) task. During the delay period, V1 population firing rate vectors maintained a lingering trace of the sample stimulus that could be reactivated by intervening impulse stimuli that enhanced neuronal firing. This fading trace of the sample did not require active engagement of the monkeys in the DMS task and likely reflects the intrinsic dynamics of recurrent cortical networks in lower visual areas. This renders an active, attention-dependent involvement of V1 in the maintenance of WM contents unlikely. By contrast, population responses to the test stimulus depended on the probabilistic contingencies between sample and test stimuli. Responses to tests that matched expectations were reduced which agrees with concepts of predictive coding.