Neurocomputational approaches to modelling multisensory integration in the brain: a review

M Ursino, C Cuppini, E Magosso - Neural Networks, 2014 - Elsevier
The Brain's ability to integrate information from different modalities (multisensory integration)
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 …

C Cuppini, M Ursino, E Magosso, LA Ross… - Frontiers in Human …, 2017 - frontiersin.org
Failure to appropriately develop multisensory integration (MSI) of audiovisual speech may
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

M Ursino, C Cuppini, E Magosso - Neural Networks, 2015 - Elsevier
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 …

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 …

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 …

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 …

Analyzing text recognition from tactually evoked EEG

A Khasnobish, S Datta, R Bose, DN Tibarewala… - Cognitive …, 2017 - Springer
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 …

Alzheimer's disease is associated with distinctive semantic feature loss

KJ Flanagan, DA Copland, HJ Chenery, GJ Byrne… - Neuropsychologia, 2013 - Elsevier
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) …

A feature-based neurocomputational model of semantic memory

M Ursino, C Cuppini, SF Cappa, E Catricalà - Cognitive Neurodynamics, 2018 - Springer
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 …

Cross-sensory inhibition or unisensory facilitation: A potential neural architecture of modality switch effects

C Cuppini, M Ursino, E Magosso, MJ Crosse… - Journal of Mathematical …, 2020 - Elsevier
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 …