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Discrete attractor dynamics underlying selective persistent activity in frontal cortex

Hidehiko K. Inagaki, Lorenzo Fontolan, Sandro Romani, Karel Svoboda
doi: https://doi.org/10.1101/203448
Hidehiko K. Inagaki
1Janelia Research Campus, HHMI, Ashburn VA 20147
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Lorenzo Fontolan
1Janelia Research Campus, HHMI, Ashburn VA 20147
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Sandro Romani
1Janelia Research Campus, HHMI, Ashburn VA 20147
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Karel Svoboda
1Janelia Research Campus, HHMI, Ashburn VA 20147
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Abstract

Short-term memories link events separated in time, such as past sensation and future actions. Short-term memories are correlated with selective persistent activity, which can be maintained over seconds. In a delayed response task that requires short-term memory, neurons in mouse anterior lateral motor cortex (ALM) show persistent activity that instructs future actions. To elucidate the mechanisms underlying this persistent activity we combined intracellular and extracellular electrophysiology with optogenetic perturbations and network modeling. During the delay epoch, both membrane potential and population activity of ALM neurons funneled towards discrete endpoints related to specific movement directions. These endpoints were robust to transient shifts in ALM activity caused by optogenetic perturbations. Perturbations occasionally switched the population dynamics to the other endpoint, followed by incorrect actions. Our results are consistent with discrete attractor dynamics underlying short-term memory related to motor planning.

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Posted October 16, 2017.
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Discrete attractor dynamics underlying selective persistent activity in frontal cortex
Hidehiko K. Inagaki, Lorenzo Fontolan, Sandro Romani, Karel Svoboda
bioRxiv 203448; doi: https://doi.org/10.1101/203448
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Discrete attractor dynamics underlying selective persistent activity in frontal cortex
Hidehiko K. Inagaki, Lorenzo Fontolan, Sandro Romani, Karel Svoboda
bioRxiv 203448; doi: https://doi.org/10.1101/203448

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