AIMC Topic: Nerve Net

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A Stepwise Multivariate Granger Causality Method for Constructing Hierarchical Directed Brain Functional Network.

IEEE transactions on neural networks and learning systems Apr 4, 2024
The directed brain functional network construction gives us the new insights into the relationships between brain regions from the causality point of view. The Granger causality analysis is one of the powerful methods to model the directed network. T...
Humans Brain Mapping Neural Pathways Nerve Net Brain Magnetic Resonance Imaging Neural Networks, Computer
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BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.

NeuroImage Apr 1, 2024
Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms...
Humans Autism Spectrum Disorder Magnetic Resonance Imaging Young Adult Neural Networks, Computer Male Nerve Net Brain Adult Mental Disorders Female Depressive Disorder, Major
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Age-related changes in human brain functional connectivity using graph theory and machine learning techniques in resting-state fMRI data.

GeroScience Mar 18, 2024
Aging is the basis of neurodegeneration and dementia that affects each endemic in the body. Normal aging in the brain is associated with progressive slowdown and disruptions in various abilities such as motor ability, cognitive impairment, decreasing...
Young Adult Adult Male Female Aged Adolescent Child Magnetic Resonance Imaging Aging Middle Aged Machine Learning Brain Humans Connectome Nerve Net
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Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks.

Science bulletin Feb 29, 2024
Cognitive neuroscience aims to develop computational models that can accurately predict and explain neural responses to sensory inputs in the cortex. Recent studies attempt to leverage the representation power of deep neural networks (DNNs) to predic...
Nerve Net Visual Perception Magnetic Resonance Imaging Models, Neurological Cerebral Cortex Male Deep Learning Neural Networks, Computer Brain Humans Young Adult Adult Female
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Network attractors and nonlinear dynamics of neural computation.

Current opinion in neurobiology Dec 8, 2023
The importance of understanding the nonlinear dynamics of neural systems, and the relation to cognitive systems more generally, has been recognised for a long time. Approaches that analyse neural systems in terms of attractors of autonomous networks ...
Neural Networks, Computer Neurons Nerve Net Nonlinear Dynamics
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and in deep neural network models of neurological network functions.

The Behavioral and brain sciences Dec 6, 2023
Depending on what we mean by "explanation," challenges to the explanatory depth and reach of deep neural network models of visual and other forms of intelligent behavior may need revisions to both the elementary building blocks of neural nets (the ex...
Humans Intelligence Neural Networks, Computer Nerve Net Models, Neurological Nervous System Physiological Phenomena
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Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim.

International journal of neural systems Aug 17, 2023
Spiking Neural Networks (SNNs) help achieve brain-like efficiency and functionality by building neurons and synapses that mimic the human brain's transmission of electrical signals. However, optimal SNN implementation requires a precise balance of pa...
Humans Brain Neural Networks, Computer Computer Simulation Algorithms Nerve Net
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Stimulation-mediated reverse engineering of silent neural networks.

Journal of neurophysiology May 24, 2023
Reconstructing connectivity of neuronal networks from single-cell activity is essential to understanding brain function, but the challenge of deciphering connections from populations of silent neurons has been largely unmet. We demonstrate a protocol...
Neurons Neural Networks, Computer Nerve Net Algorithms Rats Animals Action Potentials
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Targeting operational regimes of interest in recurrent neural networks.

PLoS computational biology May 15, 2023
Neural computations emerge from local recurrent neural circuits or computational units such as cortical columns that comprise hundreds to a few thousand neurons. Continuous progress in connectomics, electrophysiology, and calcium imaging require trac...
Neural Networks, Computer Algorithms Models, Neurological Nerve Net Neural Inhibition Action Potentials Neurons
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Learning long-term motor timing/patterns on an orthogonal basis in random neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2023
The ability of the brain to generate complex spatiotemporal patterns with specific timings is essential for motor learning and temporal processing. An approach that can model this function, using the spontaneous activity of a random neural network (R...
Learning Neural Networks, Computer Time Factors Brain Nerve Net
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