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Topic: Neuropixels recordings

ePoster
4 ePosters

In Electrophysiology and Neuroscience

ePoster · Computational Neuroscience

Movement and stimuli are differentially encoded in on- or off-manifold dimensions revealed by sleep

Eliezyer Fermino de Oliveira,Soyoun Kim,Tian Qiu,Adrien Peyrache,Renata Batista-Brito,Lucas Sjulson · COSYNE 2022

Fri, Mar 18, 2022

Recent work has shown that spontaneous movements are represented throughout the brain, even in sensory areas such as primary visual cortex (V1). Interference between visual stimuli and movement is minimized in V1 because they are encoded in orthogonal subspaces, but it is not known how these subspaces are formed. Here, we report that Neuropixels recordings in mouse V1 during slow-wave sleep (SWS) reveal internally generated low-dimensional manifold structure that is mostly preserved in the awake state. However, the awake state has more variance in “off-manifold” dimensions, defined as those ex

ePoster · Neuroscience

A census of neural timescales across the mouse brain

Roxana Zeraati, Yanliang Shi, The International Brain Laboratory, Anna Levina, Tatiana Engel · Bernstein Conference 2024

Ongoing neural activity fluctuates over a broad range of timescales. Variations in intrinsic timescales across the forebrain relate to the functional specialization of cortical areas along the visual hierarchy [1, 2]. Furthermore, these timescales adapt to task demands, for example, during selective attention [3] and working memory [4] tasks. However, the distribution of timescales and their relationship to brain structure and behavior have not been characterized beyond the forebrain, despite the evolutionary relevance of midbrain and hindbrain areas. These areas are preserved across different

ePoster · Computational Neuroscience

Deep inverse modeling reveals dynamic-dependent invariances in neural circuits mechanisms

Richard Gao, Michael Deistler, Auguste Schulz, Pedro Gonçalves, Jakob Macke · Bernstein Conference 2024

Neural population dynamics are jointly shaped by numerous factors at the cellular, synaptic, and network levels. Mechanistic models, especially spiking neural networks, are crucial for understanding how these interacting variables influence neural activity. However, the process of adjusting model parameters to match experimental recordings, i.e., inverse modeling, is challenging, and often requires a trade-off between model complexity and tractability. Consequently, models often use fixed or manually tuned parameters, limiting their dynamic range and explanatory power while making cross-study

ePoster · Neuroscience

The role of TCF7L2 transcription factor in the function of thalamocortical circuits

Katarzyna Hryniewiecka, Magdalena Majkowska, Ewa Kublik, Joanna Urban-Ciećko, Marta Wiśniewska · FENS Forum 2024

TCF7L2 is a high-confidence risk gene for neurodevelopmental disorders (NDs), but its role in their pathogenesis is unknown. It is highly expressed in the thalamus - candidate structure for NDs pathogenesis - regulating its electrophysiological maturation. To understand the role of thalamus-expressed Tcf7l2 in signal processing in thalamocortical circuits, we investigated consequences of its deficiency in the somatosensory circuit: first- and higher-order thalamic nuclei (VPM and POM) and the barrel cortex.Tcf7l2 postnatal thalamic knockout mice were used to assess signal gating mechanism in v