Concept

Neurosciences des systèmes

Publications associées (22)

An optimized protocol for assessing changes in mouse whole-brain activity using opto-fMRI

Functional magnetic resonance imaging (fMRI) in mouse brain, paired with spatially and temporally defined manipulations, offers a powerful tool to causally explain the effect of specific neuronal activity on brain network dynamics. Here, we present an opti ...

ELSEVIER2022

Investigating cognitive ability using action-based models of structural brain networks

Enrico Amico

Recent developments in network neuroscience have highlighted the importance of developing techniques for analysing and modelling brain networks. A particularly powerful approach for studying complex neural systems is to formulate generative models that use ...

OXFORD UNIV PRESS2022

Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types

Werner Alfons Hilda Van Geit, Anatoly Buchin

Which cell types constitute brain circuits is a fundamental question, but establishing the correspondence across cellular data modalities is challenging. Bio-realistic models allow probing cause-and-effect and linking seemingly disparate modalities. Here, ...

2022

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

Raphaël Pierre Liégeois, Jonathan Raël Lurie, Daniel Kessler

The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain's functional architecture and the r ...

MIT PRESS2020

Brain Dynamics: Global Pulse and Brain State Switching

Dimitri Nestor Alice Van De Ville

A major challenge in systems-level neuroscience is to understand the dynamic formation and succession of brain states. A new study has extracted reproducible brain states from mouse resting-state fMRI data, revealing interactions between occurrences of the ...

CELL PRESS2019

Resting brain dynamics at different timescales capture distinct aspects of human behavior

Dimitri Nestor Alice Van De Ville, Raphaël Pierre Liégeois

Linking human behavior to resting-state brain function is a central question in systems neuroscience. In particular, the functional timescales at which different types of behavioral factors are encoded remain largely unexplored. The behavioral counterparts ...

Springer2019

Encoding and Decoding Models in Cognitive Electrophysiology

Stéphanie Martin

Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded from the human brain as well as in the computational tools available to analyze this data. This data explosion has resulted in an increased use of multivariate, model- ...

Frontiers Media Sa2017

Multiphoton microscopy in brain imaging

Graham Knott, Bohumil Maco, Ludovico Silvestri

Brain imaging is becoming an important field in the frame of the neurophotonics in correlations with other medical ones in neuroscience studying functional and morphological aspects. In this presentation an overview on multi photon imaging of the brain wil ...

Spie-Int Soc Optical Engineering2015

Statistical models of effective connectivity in neural microcircuits

Joao Emanuel Felipe Gerhard

To appreciate how neural circuits in the brain control behaviors, we must identify how the neurons comprising the circuit are connected. Neuronal connectivity is difficult to determine experimentally, whereas neuronal activity can often be readily measured ...

EPFL2014

Redundant information encoding in primary motor cortex during motor tasks

Michael Christoph Gastpar

Information encoded in neuron ensembles has previously been hypothesized to be highly redundant, despite the apparent inefficiency of a redundant encoding system. The recent availability of intracortical, multi-electrode recordings has enabled the possibil ...

IEEE2011

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