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Oscillatory activity

4 results

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This study contributes to the investigation of true oscillatory activity within neurophysiological data, amidst the backdrop of aperiodic neural activity. Donoghue et al. (2020) showed that in MEEG narrowband power peaks can be distorted due to interactions with the aperiodic component of the power spectrum, complicating interpretations of oscillatory peaks. We validated the separation of aperiodic and oscillatory components in EEG data from three conditions — eyes open, eyes closed, and waiting for visual tasks —using IRASA (Irregular-Resampling Auto-Spectral Analysis, Wen & Liu, 2016) an

ePoster · Neuroscience

Neural Mechanisms of Subsecond Temporal Encoding in Primary Visual Cortex

Samuel Post · University of California, Riverside

Subsecond timing underlies nearly all sensory and motor activities across species and is critical to survival. While subsecond temporal information has been found across cortical and subcortical regions, it is unclear if it is generated locally and intrinsically or if it is a read out of a centralized clock-like mechanism. Indeed, mechanisms of subsecond timing at the circuit level are largely obscure. Primary sensory areas are well-suited to address these question as they have early access to sensory information and provide minimal processing to it: if temporal information is found in these r

Wed, Nov 29, 2023 · 04:00 UTC

Seminar · Neuroscience

Human Single-Neuron recordings reveal neuronal mechanisms of Working Memory

Jan Kamiński · Nencki Institute of Experimental Biology

…to a unique opportunity to record activity of neurons in humans during epilepsy monitoring we could test neuronal mechanisms of this cognitive capacity. We showed that firing rate of image selective neurons in Medial Temporal Lobe persists through maintenance periods of working memory task. This activity was behaviorally relevant and formed attractors in its state-space. Furthermore, we showed that firing rate of those n

Wed, Mar 17, 2021 · 13:30 UTC

Seminar · Cognition

How can neural networks exhibit persistent activity on time scales much larger than allowed by cellular properties? We address this question in the context of larval zebrafish, a model vertebrate that is accessible to brain-scale neuronal recording and high-throughput behavioral studies. We study in particular the dynamics of a bilaterally distributed circuit, the so-called ARTR, including hundreds neurons. ARTR exhibits slow antiphasic alternations between its left and right subpopulations, which can be modulated by the water temperature, and drive the coordinated orientation of swim bouts, t

Wed, Feb 10, 2021 · 05:00 UTC

Seminar · Computational Neuroscience