AIMC Topic: Nerve Net
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A dual path graph neural network framework for dementia diagnosis.
Scientific reports
Jul 2, 2025
Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal,...
Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity.
Nature communications
Jul 1, 2025
Many neural computations emerge from self-sustained patterns of activity in recurrent neural circuits, which rely on balanced excitation and inhibition. Neuromorphic electronic circuits represent a promising approach for implementing the brain's comp...
Brain-wide input-output analysis of tuberal nucleus somatostatin neurons reveals hierarchical circuits for orchestrating feeding behavior.
Nature communications
Jul 1, 2025
Feeding is an innate behavior critical for survival but is also influenced by many non-nutritional factors such as emotion, social context and environmental conditions. Recently, tuberal nucleus somatostatin (SST) neurons have been identified as a ke...
Optogenetic neural spheroids excite primary neural network.
Journal of neural engineering
Jun 26, 2025
Optical stimulation ofneurons requires prior transfection with light gated ion channels. This additional step brings complexity and requires optimization. Simplification of the process will ease the undertaking of studies on biological neural network...
BrainNet-GAN: Generative Adversarial Graph Convolutional Network for Functional Brain Network Synthesis from Routine Clinical Brain Structural T1-Weighted Sequence.
Brain topography
Jun 23, 2025
Functional brain network (FBN) derived from functional Magnetic Resonance Imaging (fMRI) has promising prospects in clinical research, but fMRI is not a routine acquisition data, which limits its popularity in clinical applications. Therefore, it is ...
Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.
eLife
Jun 16, 2025
The brain is thought to construct an optimal internal model representing the probabilistic structure of the environment accurately. Evidence suggests that spontaneous brain activity gives such a model by cycling through activity patterns evoked by pr...
Thalamic neural activity and epileptic network analysis using stereoelectroencephalography: a prospective study protocol.
BMJ open
Jun 10, 2025
INTRODUCTION: Epilepsy is a prevalent chronic neurological disorder, with approximately one-third of patients experiencing intractable epilepsy, often necessitating surgical intervention. Deep brain stimulation (DBS) of the thalamus has been introduc...
A library of lineage-specific driver lines connects developing neuronal circuits to behavior in the ventral nerve cord.
eLife
Jun 10, 2025
Understanding developmental changes in neuronal lineages is crucial to elucidate how they assemble into functional neural networks. Studies investigating nervous system development in model systems have only focused on select regions of the CNS due t...
Decreased spinal inhibition leads to undiversified locomotor patterns.
Biological cybernetics
Jun 4, 2025
During walking and running, animals display rich and coordinated motor patterns that are generated and controlled within the central nervous system. Previous computational and experimental results suggest that the balance between excitation and inhib...
Dynamically weighted graph neural network for detection of early mild cognitive impairment.
PloS one
Jun 4, 2025
Alzheimer's disease (AD) is a prevalent neurodegenerative disease that primarily affects the elderly population. The early detection of mild cognitive impairment (MCI) holds significant clinical importance for prompt intervention and treatment of AD....
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