AIMC Topic: Nerve Net

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Sparse connectivity enables efficient information processing in cortex-like artificial neural networks.

Frontiers in neural circuits Mar 13, 2025
Neurons in cortical networks are very sparsely connected; even neurons whose axons and dendrites overlap are highly unlikely to form a synaptic connection. What is the relevance of such sparse connectivity for a network's function? Surprisingly, it h...
Neural Networks, Computer Animals Models, Neurological Humans Neurons Cerebral Cortex Neural Pathways Nerve Net
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MCDGLN: Masked connection-based dynamic graph learning network for autism spectrum disorder.

Brain research bulletin Mar 7, 2025
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by complex physiological processes. Previous research has predominantly focused on static cerebral interactions, often neglecting the brain's dynamic nature and the challen...
Humans Neural Networks, Computer Magnetic Resonance Imaging Connectome Nerve Net Autism Spectrum Disorder Brain Male
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Structure of activity in multiregion recurrent neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 7, 2025
Neural circuits comprise multiple interconnected regions, each with complex dynamics. The interplay between local and global activity is thought to underlie computational flexibility, yet the structure of multiregion neural activity and its origins i...
Neurons Nerve Net Recurrent Neural Networks Humans Neural Networks, Computer Models, Neurological
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Deep learning models as learners for EEG-based functional brain networks.

Journal of neural engineering Mar 6, 2025
Functional brain network (FBN) methods are commonly integrated with deep learning (DL) models for EEG analysis. Typically, an FBN is constructed to extract features from EEG data, which are then fed into a DL model for further analysis. Beyond this t...
Humans Brain Deep Learning Electroencephalography Nerve Net
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An accurate and fast learning approach in the biologically spiking neural network.

Scientific reports Feb 24, 2025
Computations adapted from the interactions of neurons in the nervous system have the potential to be a strong foundation for building computers with cognitive functions including decision-making, generalization, and real-time learning. In this contex...
Humans Neural Networks, Computer Nerve Net Pyramidal Cells Models, Neurological Machine Learning Action Potentials Algorithms Neurons Learning
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Neurobiologically interpretable causal connectome for predicting young adult depression: A graph neural network study.

Journal of affective disorders Feb 21, 2025
BACKGROUND: There is a surprising lack of neuroimaging studies of depression that not only identify the whole brain causal connectivity features but also explore whether these features have neurobiological correlates.
Adult Humans Male Depression Connectome Adolescent Brain Nerve Net Magnetic Resonance Imaging Female Graph Neural Networks Positron-Emission Tomography Young Adult
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Multi-feature fusion method combining brain functional connectivity and graph theory for schizophrenia classification and neuroimaging markers screening.

Journal of psychiatric research Feb 21, 2025
BACKGROUND: The abnormalities in brain functional connectivity (FC) and graph topology (GT) in patients with schizophrenia (SZ) are unclear. Researchers proposed machine learning algorithms by combining FC or GT to identify SZ from healthy controls. ...
Magnetic Resonance Imaging Schizophrenia Adult Brain Humans Connectome Nerve Net Female Male Machine Learning Young Adult Support Vector Machine
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CPG-based neural control of peristaltic planar locomotion in an earthworm-like robot: evaluation of nonlinear oscillators.

Bioinspiration & biomimetics Feb 20, 2025
Earthworm-like robots have excellent locomotion capability in confined environments. Central pattern generator (CPG) based controllers utilize the dynamics of coupled nonlinear oscillators to spontaneously generate actuation signals for all segments,...
Peristalsis Oligochaeta Central Pattern Generators Biological Clocks Equipment Design Biomimetics Nonlinear Dynamics Locomotion Nerve Net Equipment Failure Analysis Computer Simulation Animals Robotics
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A simple clustering approach to map the human brain's cortical semantic network organization during task.

NeuroImage Feb 18, 2025
Constructing task-state large-scale brain networks can enhance our understanding of the organization of brain functions during cognitive tasks. The primary goal of brain network partitioning is to cluster functionally homogeneous brain regions. Howev...
Cerebral Cortex Nerve Net Male Female Cluster Analysis Humans Brain Mapping Cognition Brain Young Adult Semantics Magnetic Resonance Imaging Adult
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Comparison of derivative-based and correlation-based methods to estimate effective connectivity in neural networks.

Scientific reports Feb 13, 2025
Inferring and understanding the underlying connectivity structure of a system solely from the observed activity of its constituent components is a challenge in many areas of science. In neuroscience, techniques for estimating connectivity are paramou...
Neurons Nerve Net Neural Networks, Computer Algorithms Animals Models, Neurological
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