AIMC Topic: Occipital Lobe
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Brain Activation Pattern Caused by Soft Rehabilitation Glove and Virtual Reality Scenes: A Pilot fNIRS Study.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 29, 2024
Clinical studies have proved significant improvements in hand motor function in stroke patients when assisted by robotic devices. However, there were few studies on neural activity changes in the brain during execution. This study aimed to investigat...
Space-CNN: a decision classification method based on EEG signals from different brain regions.
Medical & biological engineering & computing
Nov 12, 2023
Decision-making plays a critical role in an individual's interpersonal interactions and cognitive processes. Due to the issue of strong subjectivity in the classification research of art design decisions, we utilize the relatively objective electroen...
Untangling the Animacy Organization of Occipitotemporal Cortex.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 6, 2021
Some of the most impressive functional specializations in the human brain are found in the occipitotemporal cortex (OTC), where several areas exhibit selectivity for a small number of visual categories, such as faces and bodies, and spatially cluster...
Examining the Coding Strength of Object Identity and Nonidentity Features in Human Occipito-Temporal Cortex and Convolutional Neural Networks.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Mar 31, 2021
A visual object is characterized by multiple visual features, including its identity, position and size. Despite the usefulness of identity and nonidentity features in vision and their joint coding throughout the primate ventral visual processing pat...
Neural Encoding and Decoding With Distributed Sentence Representations.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Building computational models to account for the cortical representation of language plays an important role in understanding the human linguistic system. Recent progress in distributed semantic models (DSMs), especially transformer-based methods, ha...
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Natural Language Processing
Semantics
Brain-Computer Interfaces
Cerebral Cortex
Linguistics
Reading
Temporal Lobe
Occipital Lobe
Brain
Computer Simulation
Language
Reproducibility of Results
Deep Learning
Humans
Neural Networks, Computer
Algorithms
Object parsing in the left lateral occipitotemporal cortex: Whole shape, part shape, and graspability.
Neuropsychologia
Jan 11, 2020
Small and manipulable objects (tools) preferentially evoke a network of brain regions relative to other objects, including the lateral occipitotemporal cortex (LOTC), which is assumed to process tool shape information. Given the correlation between v...
Computational mechanisms underlying cortical responses to the affordance properties of visual scenes.
PLoS computational biology
Apr 23, 2018
Biologically inspired deep convolutional neural networks (CNNs), trained for computer vision tasks, have been found to predict cortical responses with remarkable accuracy. However, the internal operations of these models remain poorly understood, and...
On the other hand: Increased cortical activation to human versus mechanical hands in infants.
NeuroImage
Jul 11, 2016
There is a large body of work demonstrating that infants are sensitive to the distinction between human and mechanical entities from the early months of life, and have different expectations for the way these entities move and interact. The current w...
A multi-layer network approach to MEG connectivity analysis.
NeuroImage
Feb 22, 2016
Recent years have shown the critical importance of inter-regional neural network connectivity in supporting healthy brain function. Such connectivity is measurable using neuroimaging techniques such as MEG, however the richness of the electrophysiolo...
Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Sep 4, 2015
BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).
Imaging, Three-Dimensional
Nucleus Accumbens
Support Vector Machine
Occipital Lobe
Young Adult
Epilepsy, Temporal Lobe
Hippocampus
Adult
Diffusion Tensor Imaging
Connectome
Humans
Male
Frontal Lobe
Gyrus Cinguli
Machine Learning
Middle Aged
Temporal Lobe
Brain
Globus Pallidus
Case-Control Studies
Retrospective Studies
Female
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