Learned response dynamics reflect stimulus timing and encode temporal expectation violations in superficial layers of mouse V1

Published: March 13, 2024

The ability to recognize ordered event sequences is a fundamental component of sensory cognition and underlies the capacity generate temporally specific expectations future events based on previous experience. Various lines evidence suggest that primary visual cortex participates in some form predictive processing, though many details remain ambiguous. Here we use two-photon calcium imaging layer 2/3 (L2/3) mouse (V1) study changes neural activity under multi-day sequence learning paradigm with respect prediction error responses, stimulus encoding, time. We find increased at time an expected, but omitted, would have occurred no significant responses following unexpected substitution. Sequence representations became sparser less correlated training, although these had effect decoding accuracy identity or timing. Additionally, experience modifies temporal structure produce bias towards stimulus-locked activity. Finally, observe during intersequence rest periods was largely unchanged by training.

Language: Английский

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Learned response dynamics reflect stimulus timing and encode temporal expectation violations in superficial layers of mouse V1

Published: March 13, 2024

The ability to recognize ordered event sequences is a fundamental component of sensory cognition and underlies the capacity generate temporally specific expectations future events based on previous experience. Various lines evidence suggest that primary visual cortex participates in some form predictive processing, but many details remain ambiguous. Here we use two-photon calcium imaging layer 2/3 (L2/3) mouse (V1) study changes neural activity under multi-day sequence learning paradigm with respect prediction error responses, stimulus encoding, time. We find increased at time an expected, omitted, would have occurred no significant responses following unexpected substitution. Sequence representations became sparser less correlated training, although these had effect decoding accuracy identity or timing. Additionally, experience modifies temporal structure produce bias towards stimulus-locked activity. Finally, during intersequence rest periods was largely unchanged by training.

Language: Английский

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Event structure sculpts neural population dynamics in the lateral entorhinal cortex

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 18, 2024

Abstract Our experience of the world is a continuous stream events which must be segmented and organized simultaneously at multiple timescales. The neural mechanisms underlying this process remain unknown. Here, we recorded many hundreds neurons in lateral entorhinal cortex (LEC) freely behaving rats as manipulated event structure During foraging well during sleep, population activity drifted continuously unidirectionally along one-dimensional manifold. Boundaries between were associated with discrete shifts state space, suggesting that LEC dynamics directly reflect segmentation. tasks recurring temporal structure, traveled additionally directions orthogonal to flow drift, enabling multiplex information across different Taken together, these results identify hierarchically coding scheme for segmenting organizing time.

Language: Английский

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Brain mechanisms of temporal processing in impulsivity: Relevance to attention-deficit hyperactivity disorder

Brain and Neuroscience Advances, Journal Year: 2024, Volume and Issue: 8

Published: Jan. 1, 2024

In this article, we critique the hypothesis that different varieties of impulsivity, including impulsiveness present in attention-deficit hyperactivity disorder, encompass an accelerated perception time. This conceptualisation provides insights into how individuals with disorder have capacity to maximise cognitive capabilities by more closely aligning themselves appropriate environmental contexts (e.g. fast paced tasks prevent boredom). We discuss evidence for altered time alongside putative underlying neurobiological substrates, a distributed brain network mediating over multiple timescales. particular, explore importance temporal representations across and symptom manifestation prominent role hippocampus other lobe regions. also reflect on abnormalities may be relevant understanding aetiology mechanism action existing medications.

Language: Английский

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Different time encoding strategies within the medial premotor areas of the primate

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 29, 2023

Abstract The measurement of time in the subsecond scale is critical for many sophisticated behaviors, yet its neural underpinnings are largely unknown. Recent neurophysiological experiments from our laboratory have shown that activity medial premotor areas (MPC) macaques can represent different aspects temporal processing. During interval categorization, we found preSMA encodes a subjective category limit by reaching peak at divides set test intervals into short and long. We also observed signals associated with selected subjects reward outcomes perceptual decision. On other hand, studied behavioral basis rhythmic timing. First, tapping tasks able to produce predictively accurately cued auditory or visual metronomes when produced internally without sensory guidance. In addition, timing mechanism MPC governed layers clocks. Next, instantaneous single cells shows ramping encode elapsed remaining movement. neurons build sequences, forming dynamic patterns activation flexibly cover all depending on tempo. This clock resets every providing an internal representation pulse. Furthermore, show mixed selectivity, encoding not only time, but tempo serial order element sequence. Hence, map task parameters, including passage using cell populations. Finally, projection varying hundreds low dimensional state space showed circular trajectories whose geometry pulse Overall, these findings support notion part core both timing, clocks principles, probably mix parameters.

Language: Английский

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