AIMC Topic: Temporal Lobe

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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...
Female Young Adult Adult Male Visual Perception Humans Pattern Recognition, Visual Neural Networks, Computer Temporal Lobe Machine Learning Adolescent Occipital Lobe Magnetic Resonance Imaging Visual Pathways Nerve Net Photic Stimulation
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Within-category representational stability through the lens of manipulable objects.

Cortex; a journal devoted to the study of the nervous system and behavior Feb 5, 2021
Our ability to recognize an object amongst many exemplars is one of our most important features, and one that putatively distinguishes humans from non-human animals and potentially from (current) computational and artificial intelligence models. We c...
Semantics Photic Stimulation Pattern Recognition, Visual Temporal Lobe Artificial Intelligence Animals Magnetic Resonance Imaging Brain Mapping
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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...
Humans Occipital Lobe Magnetic Resonance Imaging Language Cerebral Cortex Neural Networks, Computer Natural Language Processing Reproducibility of Results Algorithms Linguistics Semantics Deep Learning Brain Reading Brain-Computer Interfaces Image Processing, Computer-Assisted Computer Simulation Temporal Lobe
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Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jan 20, 2021
OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes in highly infectious novel coronavirus disease 2019 (COVID-19) patients receiving neuromuscular blocking agent.
COVID-19 Drug Treatment Anesthesia Frontal Lobe Temporal Lobe Middle Aged Cohort Studies Hypnotics and Sedatives Electroencephalography Humans Machine Learning COVID-19 Intensive Care Units Female Aged Male
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Identification of autism spectrum disorder based on short-term spontaneous hemodynamic fluctuations using deep learning in a multi-layer neural network.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Dec 30, 2020
OBJECTIVE: To classify children with autism spectrum disorder (ASD) and typical development (TD) using short-term spontaneous hemodynamic fluctuations and to explore the abnormality of inferior frontal gyrus and temporal lobe in ASD.
Temporal Lobe Hemodynamics Deep Learning Child Frontal Lobe Humans Autism Spectrum Disorder Spectroscopy, Near-Infrared
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Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma.

BMC cancer Jun 1, 2020
BACKGROUND: Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinoma (NPC) is clinically challenging, and prediction models of RTLI are lacking. Hence, we aimed to develop radiomic models for early detection of RTLI.
Humans Temporal Lobe Machine Learning Magnetic Resonance Imaging Brain Injuries Male Predictive Value of Tests Middle Aged Radiation Injuries Algorithms Aftercare ROC Curve Models, Biological Retrospective Studies Nasopharyngeal Carcinoma Longitudinal Studies Image Interpretation, Computer-Assisted Female Nasopharyngeal Neoplasms Adult
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Efficient inverse graphics in biological face processing.

Science advances Mar 4, 2020
Vision not only detects and recognizes objects, but performs rich inferences about the underlying scene structure that causes the patterns of light we see. Inverting generative models, or "analysis-by-synthesis", presents a possible solution, but its...
Face Vision, Ocular Nerve Net Macaca mulatta Pattern Recognition, Visual Temporal Lobe Neural Networks, Computer Computer Simulation Animals Male Humans
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The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance.

NeuroImage Feb 18, 2020
Why is some music well-received whereas other music is not? Previous research has indicated the close temporal dependencies of neural activity among performers and among audiences. However, it is unknown whether similar neural contingencies exist bet...
Humans Music Female Temporal Lobe Young Adult Adult Auditory Perception Support Vector Machine Male Video Recording Spectroscopy, Near-Infrared Pleasure Functional Neuroimaging Nerve Net
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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...
Occipital Lobe Space Perception Pattern Recognition, Visual Temporal Lobe Female Form Perception Humans Young Adult Support Vector Machine Adult Male Magnetic Resonance Imaging Brain Mapping Motor Activity
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Characterizing autism spectrum disorder by deep learning spontaneous brain activity from functional near-infrared spectroscopy.

Journal of neuroscience methods Nov 30, 2019
BACKGROUND: Functional near-infrared spectroscopy (fNIRS) was used to investigate spontaneous hemodynamic fluctuations in the bilateral temporal cortices for typically developing (TD) children and children with autism spectrum disorder (ASD).
Deep Learning Humans Neural Networks, Computer Child Autism Spectrum Disorder Temporal Lobe Spectroscopy, Near-Infrared
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