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- W2024332125 abstract "In this paper, Clancy and colleagues introduce an optically driven brain machine interface (BMI) based on the processing of optical calcium signals recorded using two-photon microscopy. When applied to mouse cortex, this approach revealed that learning in a BMI-mediated operant task is accompanied by the progressive spatial refinement of activity in local networks comprising output-relevant neurons. Brain-machine interfaces are not only promising for neurological applications, but also powerful for investigating neuronal ensemble dynamics during learning. We trained mice to operantly control an auditory cursor using spike-related calcium signals recorded with two-photon imaging in motor and somatosensory cortex. Mice rapidly learned to modulate activity in layer 2/3 neurons, evident both across and within sessions. Learning was accompanied by modifications of firing correlations in spatially localized networks at fine scales." @default.
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- W2024332125 date "2014-04-13" @default.
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- W2024332125 title "Volitional modulation of optically recorded calcium signals during neuroprosthetic learning" @default.
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- W2024332125 doi "https://doi.org/10.1038/nn.3712" @default.
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