Neurocomputational approaches to modelling multisensory integration in the brain: a review
The Brain's ability to integrate information from different modalities (multisensory integration)
is fundamental for accurate sensory experience and efficient interaction with the …
is fundamental for accurate sensory experience and efficient interaction with the …
[HTML][HTML] A computational analysis of neural mechanisms underlying the maturation of multisensory speech integration in neurotypical children and those on the autism …
Failure to appropriately develop multisensory integration (MSI) of audiovisual speech may
affect a child's ability to attain optimal communication. Studies have shown protracted …
affect a child's ability to attain optimal communication. Studies have shown protracted …
A neural network for learning the meaning of objects and words from a featural representation
The present work investigates how complex semantics can be extracted from the statistics of
input features, using an attractor neural network. The study is focused on how feature …
input features, using an attractor neural network. The study is focused on how feature …
Semantic feature training for the treatment of anomia in Alzheimer disease: A preliminary investigation
KJ Flanagan, DA Copland, S van Hees… - Cognitive and …, 2016 - journals.lww.com
Objective: This is a preliminary investigation into the effectiveness of semantic feature
training for the treatment of anomia in Alzheimer disease (AD). Background: Anomia is a …
training for the treatment of anomia in Alzheimer disease (AD). Background: Anomia is a …
Three levels of information processing in the brain
AV Zhuravlev - Biosystems, 2023 - Elsevier
Abstract Information, the measure of order in a complex system, is the opposite of entropy,
the measure of chaos and disorder. We can distinguish several levels at which information is …
the measure of chaos and disorder. We can distinguish several levels at which information is …
Syntax meets semantics during brain logical computations
A Tozzi, JF Peters, AA Fingelkurts… - Progress in biophysics …, 2018 - Elsevier
The discrepancy between syntax and semantics is a painstaking issue that hinders a better
comprehension of the underlying neuronal processes in the human brain. In order to tackle …
comprehension of the underlying neuronal processes in the human brain. In order to tackle …
Analyzing text recognition from tactually evoked EEG
Tactual exploration of objects produce specific patterns in the human brain and hence
objects can be recognized by analyzing brain signals during tactile exploration. The present …
objects can be recognized by analyzing brain signals during tactile exploration. The present …
Alzheimer's disease is associated with distinctive semantic feature loss
A central topic of discussion in the exploration of semantic disturbance in Alzheimer's
disease (AD) concerns the relative contribution of semantic content (eg, semantic features) …
disease (AD) concerns the relative contribution of semantic content (eg, semantic features) …
A feature-based neurocomputational model of semantic memory
According with a featural organization of semantic memory, this work is aimed at
investigating, through an attractor network, the role of different kinds of features in the …
investigating, through an attractor network, the role of different kinds of features in the …
Cross-sensory inhibition or unisensory facilitation: A potential neural architecture of modality switch effects
In a simple reaction time task in which auditory and visual stimuli are presented in random
sequence alone (A or V) or together (AV), there is a so-called reaction time (RT) cost on …
sequence alone (A or V) or together (AV), there is a so-called reaction time (RT) cost on …