A technical review of canonical correlation analysis for neuroscience applications
Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …
neuroscience research and uncovering multivariate relationships among collected data sets …
Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies
Information that is shared across brains is encoded in idiosyncratic fine-scale functional
topographies. Hyperalignment captures shared information by projecting pattern vectors for …
topographies. Hyperalignment captures shared information by projecting pattern vectors for …
[HTML][HTML] Two distinct neural timescales for predictive speech processing
PW Donhauser, S Baillet - Neuron, 2020 - cell.com
During speech listening, the brain could use contextual predictions to optimize sensory
sampling and processing. We asked if such predictive processing is organized dynamically …
sampling and processing. We asked if such predictive processing is organized dynamically …
[HTML][HTML] Toward best practices for imaging transcriptomics of the human brain
Modern brainwide transcriptional atlases provide unprecedented opportunities for
investigating the molecular correlates of brain organization, as quantified using noninvasive …
investigating the molecular correlates of brain organization, as quantified using noninvasive …
Neurophysiological indices of audiovisual speech processing reveal a hierarchy of multisensory integration effects
Seeing a speaker's face benefits speech comprehension, especially in challenging listening
conditions. This perceptual benefit is thought to stem from the neural integration of visual …
conditions. This perceptual benefit is thought to stem from the neural integration of visual …
[HTML][HTML] Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation
N Koide-Majima, S Nishimoto, K Majima - Neural Networks, 2024 - Elsevier
Visual images observed by humans can be reconstructed from their brain activity. However,
the visualization (externalization) of mental imagery is challenging. Only a few studies have …
the visualization (externalization) of mental imagery is challenging. Only a few studies have …
Augmented reality driven steady-state visual evoked potentials for wheelchair navigation
V Sakkalis, M Krana, C Farmaki… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Medically oriented Brain Computer Interfaces (BCIs) have been proposed as a promising
approach addressed to individuals suffering from severe paralysis. Steady-State Visual …
approach addressed to individuals suffering from severe paralysis. Steady-State Visual …
Emotionotopy in the human right temporo-parietal cortex
Humans use emotions to decipher complex cascades of internal events. However, which
mechanisms link descriptions of affective states to brain activity is unclear, with evidence …
mechanisms link descriptions of affective states to brain activity is unclear, with evidence …
Inter-individual deep image reconstruction via hierarchical neural code conversion
The sensory cortex is characterized by general organizational principles such as topography
and hierarchy. However, measured brain activity given identical input exhibits substantially …
and hierarchy. However, measured brain activity given identical input exhibits substantially …
Domain adapted word embeddings for improved sentiment classification
Generic word embeddings are trained on large-scale generic corpora; Domain Specific (DS)
word embeddings are trained only on data from a domain of interest. This paper proposes a …
word embeddings are trained only on data from a domain of interest. This paper proposes a …