Neuronal circuits underlying persistent representations despite time varying activity.

By Shaul Druckmann, Dmitri "Mitya" Chklovskii. 2012

172 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “The coding subspace is a subset of activity space, which represents all possible neural activity patterns, including ‘non-coding’ subspaces that are observed but that do not represent changes in stimuli or behaviour (Druckmann and Chklovskii, 2012), as well as neural states that never occur.”
Causes and consequences of representational drift (2019, background): “This implies that neuronal activity could drift in directions unrelated to encoding or task performance [25,30].”
Dynamics of robust pattern separability in the hippocampal dentate gyrus (2015, background): “Given the importance of persistent representations, formed by dynamical neural activities (Druckmann and Chklovskii, 2012), we suspect that similar representational structures might be quite ubiquitous within the nervous system.”
Motor cortex signals for each arm are mixed across hemispheres and neurons yet partitioned within the population response (2019, background): “…in motor cortex are ‘muscle potent’ – activity in those dimensions produces output that will influence the muscles – while other dimensions are ‘muscle null’ – activity in those dimensions has no direct outgoing impact on muscle activity (Druckmann and Chklovskii, 2012; Kaufman et al., 2014).”
Motor cortex embeds muscle-like commands in an untangled population response (2018, unknown): “As the network follows that three-dimensional trajectory, the figure-eight pattern can still be ‘‘read out’’ via projection, with the third dimension falling in the null space of the readout (Druckmann and Chklovskii, 2012; Kaufman et al., 2014).”