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Showing 1–8 of 8 results

Advanced filters: Author: Niccolò Bonacchi Clear advanced filters

A brain-wide map of neural activity during complex behaviour

The International Brain Laboratory presents a brain-wide electrophysiological map obtained from pooling data from 12 laboratories that performed the same standardized perceptual decision-making task in mice.

Leenoy Meshulam
Dora Angelaki
Ilana B. Witten
ResearchOpen Access03 Sept 2025
Nature

Volume: 645, P: 177-191
Brain-wide representations of prior information in mouse decision-making

Brain-wide recordings in mice reveal that prior expectations are distributed through recurrent loops across all levels of cortical and subcortical processing.

Charles Findling
Félix Hubert
Alexandre Pouget
ResearchOpen Access03 Sept 2025
Nature

Volume: 645, P: 192-200
A modular architecture for organizing, processing and sharing neurophysiology data

A modular architecture for managing and sharing electrophysiology, behavior, colony management and other data has been built to support individual laboratories or large consortia.

Luigi Acerbi
Valeria Aguillon-Rodriguez
Miles J. Wells
Research02 Mar 2023
Nature Methods

Volume: 20, P: 403-407
Adversarial testing of global neuronal workspace and integrated information theories of consciousness

Multimodal results (iEEG, fMRI and MEG) of predictions from integrated information theory and global neuronal workspace theory align with some predictions of both theories on visual consciousness, but also critically challenge key tenets of both theories.

Oscar Ferrante
Urszula Gorska-Klimowska
Lucia Melloni
ResearchOpen Access30 Apr 2025
Nature

Volume: 642, P: 133-142
Spatial maps in piriform cortex during olfactory navigation

Studies using neural ensemble recordings in rats show that cells in the piriform cortex carry a spatial representation of the environment and link locations to olfactory sensory inputs.

Cindy Poo
Gautam Agarwal
Zachary F. Mainen
Research22 Dec 2021
Nature

Volume: 601, P: 595-599
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools

Lightning Pose is an efficient pose estimation approach that requires few labeled training data owing to its semi-supervised learning strategy and ensembling.

Dan Biderman
Matthew R. Whiteway
Liam Paninski
Research25 Jun 2024
Nature Methods

Volume: 21, P: 1316-1328
Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception

Alia Seedat
Alex Lepauvre
Lucia Melloni
ResearchOpen Access23 May 2025
Scientific Data

Volume: 12, P: 1-14
An olfactory self-test effectively screens for COVID-19

Snitz et al. develop a web-based olfactory screening tool for COVID-19, which relies on users smelling household odorants. Based on data from participants in 134 countries, the authors report that olfactory ratings are indicative of COVID-19 status.

Kobi Snitz
Danielle Honigstein
Noam Sobel
ResearchOpen Access05 Apr 2022
Communications Medicine

Volume: 2, P: 1-12