Microglia are dispensable for experience-dependent refinement of mouse visual circuitry

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(8), P. 1462 - 1467

Published: July 8, 2024

Language: Английский

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A machine learning toolbox for the analysis of sharp-wave ripples reveals common waveform features across species

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: March 4, 2024

Abstract The study of sharp-wave ripples has advanced our understanding memory function, and their alteration in neurological conditions such as epilepsy is considered a biomarker dysfunction. Sharp-wave exhibit diverse waveforms properties that cannot be fully characterized by spectral methods alone. Here, we describe toolbox machine-learning models for automatic detection analysis these events. architectures, which resulted from crowdsourced hackathon, are able to capture wealth ripple features recorded the dorsal hippocampus mice across awake sleep conditions. When applied data macaque hippocampus, generalize reveal shared species. We hereby provide user-friendly open-source model use extension, can help accelerate standardize ripples, lowering threshold its adoption biomedical applications.

Language: Английский

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A chromatic feature detector in the retina signals visual context changes

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Oct. 4, 2024

The retina transforms patterns of light into visual feature representations supporting behaviour. These are distributed across various types retinal ganglion cells (RGCs), whose spatial and temporal tuning properties have been studied extensively in many model organisms, including the mouse. However, it has difficult to link potentially nonlinear transformations natural inputs specific ethological purposes. Here, we discover a selectivity chromatic contrast an RGC type that allows detection changes context. We trained convolutional neural network (CNN) on large-scale functional recordings responses mouse movies, then used this search silico for stimuli maximally excite distinct RGCs. This procedure predicted centre colour opponency transient suppressed-by-contrast (tSbC) RGCs, cell function is being debated. confirmed experimentally these indeed responded very selectively Green-OFF, UV-ON contrasts. was characteristic transitions from ground sky scene, as might be elicited by head or eye movements horizon. Because tSbC performed best among all at reliably detecting transitions, suggest role providing contextual information (i.e. ground) necessary selection appropriate behavioural other stimuli, such looming objects. Our work showcases how combination experiments with computational modelling discovering novel stimulus identifying their potential relevance.

Language: Английский

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Human-level saccade detection performance using deep neural networks

Journal of Neurophysiology, Journal Year: 2018, Volume and Issue: 121(2), P. 646 - 661

Published: Dec. 19, 2018

Saccades are ballistic eye movements that rapidly shift gaze from one location of visual space to another. Detecting saccades in movement recordings is important not only for studying the neural mechanisms underlying sensory, motor, and cognitive processes, but also as a clinical diagnostic tool. However, automatically detecting can be difficult, particularly when such generated coordination with other tracking movements, like smooth pursuits, or saccade amplitude close tracker noise levels, microsaccades. In cases, labeling by human experts required, this tedious task prone variability error. We developed convolutional network detect at human-level accuracy minimal training examples. Our algorithm surpasses state art according common performance metrics could facilitate studies neurophysiological processes generation processing. NEW & NOTEWORTHY difficult task, it necessary first step many applications. present identify show our performs better than available algorithms, comparing on wide range data sets. offer an open-source implementation well web service.

Language: Английский

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A virtual reality system to analyze neural activity and behavior in adult zebrafish

Nature Methods, Journal Year: 2020, Volume and Issue: 17(3), P. 343 - 351

Published: March 1, 2020

Language: Английский

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