AIMC Topic: Nerve Net

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Spatial-Temporal Dynamic Hypergraph Information Bottleneck for Brain Network Classification.

International journal of neural systems Jul 17, 2024
Recently, Graph Neural Networks (GNNs) have gained widespread application in automatic brain network classification tasks, owing to their ability to directly capture crucial information in non-Euclidean structures. However, two primary challenges per...
Nerve Net Information Theory Humans Neural Networks, Computer Brain
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Flexible multitask computation in recurrent networks utilizes shared dynamical motifs.

Nature neuroscience Jul 9, 2024
Flexible computation is a hallmark of intelligent behavior. However, little is known about how neural networks contextually reconfigure for different computations. In the present work, we identified an algorithmic neural substrate for modular computa...
Neural Networks, Computer Models, Neurological Neurons Nerve Net Algorithms Learning Animals
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Shaping dynamical neural computations using spatiotemporal constraints.

Biochemical and biophysical research communications Jun 25, 2024
Dynamics play a critical role in computation. The principled evolution of states over time enables both biological and artificial networks to represent and integrate information to make decisions. In the past few decades, significant multidisciplinar...
Models, Neurological Neurons Nerve Net Brain Humans Animals Neural Networks, Computer Spatio-Temporal Analysis
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Towards biologically plausible model-based reinforcement learning in recurrent spiking networks by dreaming new experiences.

Scientific reports Jun 25, 2024
Humans and animals can learn new skills after practicing for a few hours, while current reinforcement learning algorithms require a large amount of data to achieve good performances. Recent model-based approaches show promising results by reducing th...
Nerve Net Reinforcement, Psychology Models, Neurological Action Potentials Neurons Computer Simulation Learning Animals Humans Neural Networks, Computer Algorithms
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Three autism subtypes based on single-subject gray matter network revealed by semi-supervised machine learning.

Autism research : official journal of the International Society for Autism Research Jun 24, 2024
Autism spectrum disorder (ASD) is a heterogeneous, early-onset neurodevelopmental condition characterized by persistent impairments in social interaction and communication. This study aims to delineate ASD subtypes based on individual gray matter bra...
Adolescent Child Magnetic Resonance Imaging Young Adult Male Case-Control Studies Supervised Machine Learning Gray Matter Humans Nerve Net Autism Spectrum Disorder Brain
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BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network.

Nature communications Jun 20, 2024
Characterization and modeling of biological neural networks has emerged as a field driving significant advancements in our understanding of brain function and related pathologies. As of today, pharmacological treatments for neurological disorders rem...
Humans Neural Networks, Computer Animals Models, Neurological Nervous System Diseases Nerve Net Action Potentials Neurons Biomimetics
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Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation.

Journal of neural engineering Jun 20, 2024
. This study introduces a novel approach for integrating the post-inhibitory rebound excitation (PIRE) phenomenon into a neuronal circuit. Excitatory and inhibitory synapses are designed to establish a connection between two hardware neurons, effecti...
Synapses Nerve Net Neural Inhibition Humans Neural Networks, Computer Computer Simulation Models, Neurological Action Potentials Neurons
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Microstate-based brain network dynamics distinguishing temporal lobe epilepsy patients: A machine learning approach.

NeuroImage Jun 14, 2024
Temporal lobe epilepsy (TLE) stands as the predominant adult focal epilepsy syndrome, characterized by dysfunctional intrinsic brain dynamics. However, the precise mechanisms underlying seizures in these patients remain elusive. Our study encompassed...
Epilepsy, Temporal Lobe Nerve Net Drug Resistant Epilepsy Middle Aged Magnetic Resonance Imaging Connectome Machine Learning Brain Female Young Adult Adult Male Humans
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Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity.

NeuroImage Jun 7, 2024
Brain disorders are often associated with changes in brain structure and function, where functional changes may be due to underlying structural variations. Gray matter (GM) volume segmentation from 3D structural MRI offers vital structural informatio...
Humans Biomarkers Brain Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Adult Male Schizophrenia Gray Matter Nerve Net
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Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.

IEEE transactions on neural networks and learning systems Jun 4, 2024
Recently, brain networks have been widely adopted to study brain dynamics, brain development, and brain diseases. Graph representation learning techniques on brain functional networks can facilitate the discovery of novel biomarkers for clinical phen...
Humans Algorithms Neural Networks, Computer Models, Neurological Brain Machine Learning Connectome Magnetic Resonance Imaging Nerve Net
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