[HTML][HTML] The human connectome project: a retrospective
Abstract The Human Connectome Project (HCP) was launched in 2010 as an ambitious
effort to accelerate advances in human neuroimaging, particularly for measures of brain …
effort to accelerate advances in human neuroimaging, particularly for measures of brain …
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
Decoding, ie prediction from brain images or signals, calls for empirical evaluation of its
predictive power. Such evaluation is achieved via cross-validation, a method also used to …
predictive power. Such evaluation is achieved via cross-validation, a method also used to …
A high-performance neuroprosthesis for speech decoding and avatar control
Speech neuroprostheses have the potential to restore communication to people living with
paralysis, but naturalistic speed and expressivity are elusive. Here we use high-density …
paralysis, but naturalistic speed and expressivity are elusive. Here we use high-density …
[HTML][HTML] Walking naturally after spinal cord injury using a brain–spine interface
H Lorach, A Galvez, V Spagnolo, F Martel, S Karakas… - Nature, 2023 - nature.com
A spinal cord injury interrupts the communication between the brain and the region of the
spinal cord that produces walking, leading to paralysis,. Here, we restored this …
spinal cord that produces walking, leading to paralysis,. Here, we restored this …
Evidence of a predictive coding hierarchy in the human brain listening to speech
Considerable progress has recently been made in natural language processing: deep
learning algorithms are increasingly able to generate, summarize, translate and classify …
learning algorithms are increasingly able to generate, summarize, translate and classify …
Decoding speech perception from non-invasive brain recordings
Decoding speech from brain activity is a long-awaited goal in both healthcare and
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …
NeuroKit2: A Python toolbox for neurophysiological signal processing
NeuroKit2 is an open-source, community-driven, and user-centered Python package for
neurophysiological signal processing. It provides a comprehensive suite of processing …
neurophysiological signal processing. It provides a comprehensive suite of processing …
Deep brain stimulation of the thalamus restores signatures of consciousness in a nonhuman primate model
Loss of consciousness is associated with the disruption of long-range thalamocortical and
corticocortical brain communication. We tested the hypothesis that deep brain stimulation …
corticocortical brain communication. We tested the hypothesis that deep brain stimulation …
Methodological considerations for studying neural oscillations
T Donoghue, N Schaworonkow… - European journal of …, 2022 - Wiley Online Library
Neural oscillations are ubiquitous across recording methodologies and species, broadly
associated with cognitive tasks, and amenable to computational modelling that investigates …
associated with cognitive tasks, and amenable to computational modelling that investigates …
Cluster‐based permutation tests of MEG/EEG data do not establish significance of effect latency or location
J Sassenhagen, D Draschkow - Psychophysiology, 2019 - Wiley Online Library
Cluster‐based permutation tests are gaining an almost universal acceptance as inferential
procedures in cognitive neuroscience. They elegantly handle the multiple comparisons …
procedures in cognitive neuroscience. They elegantly handle the multiple comparisons …