AIMC Topic: Nerve Net

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Selective consistency of recurrent neural networks induced by plasticity as a mechanism of unsupervised perceptual learning.

PLoS computational biology Sep 3, 2024
Understanding the mechanism by which the brain achieves relatively consistent information processing contrary to its inherent inconsistency in activity is one of the major challenges in neuroscience. Recently, it has been reported that the consistenc...
Perception Nerve Net Brain Learning Computational Biology Neuronal Plasticity Models, Neurological Unsupervised Machine Learning Humans Neural Networks, Computer
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Memristive Circuit Implementation of Caenorhabditis Elegans Mechanism for Neuromorphic Computing.

IEEE transactions on neural networks and learning systems Sep 3, 2024
To overcome the energy efficiency bottleneck of the von Neumann architecture and scaling limit of silicon transistors, an emerging but promising solution is neuromorphic computing, a new computing paradigm inspired by how biological neural networks h...
Animals Models, Neurological Robotics Neural Networks, Computer Caenorhabditis elegans Neurons Interneurons Locomotion Motor Neurons Nerve Net
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Learnable Brain Connectivity Structures for Identifying Neurological Disorders.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 28, 2024
Brain networks/graphs have been widely recognized as powerful and efficient tools for identifying neurological disorders. In recent years, various graph neural network models have been developed to automatically extract features from brain networks. ...
Nerve Net Algorithms Humans Brain Neural Networks, Computer Nervous System Diseases Machine Learning
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Separating group- and individual-level brain signatures in the newborn functional connectome: A deep learning approach.

NeuroImage Aug 22, 2024
Recent studies indicate that differences in cognition among individuals may be partially attributed to unique brain wiring patterns. While functional connectivity (FC)-based fingerprinting has demonstrated high accuracy in identifying adults, early s...
Humans Brain Connectome Female Nerve Net Male Infant, Newborn Deep Learning Young Adult Magnetic Resonance Imaging Adult
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Unveiling the core functional networks of cognition: An ontology-guided machine learning approach.

NeuroImage Aug 20, 2024
Deciphering the functional architecture that underpins diverse cognitive functions is fundamental quest in neuroscience. In this study, we employed an innovative machine learning framework that integrated cognitive ontology with functional connectivi...
Connectome Nerve Net Cognition Magnetic Resonance Imaging Memory, Short-Term Young Adult Adult Male Humans Machine Learning Brain Female
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Altered dynamic large-scale brain networks and combined machine learning in primary angle-closure glaucoma.

Neuroscience Aug 16, 2024
Primary angle-closure glaucoma (PACG) is a severe and irreversible blinding eye disease characterized by progressive retinal ganglion cell death. However, prior research has predominantly focused on static brain activity changes, neglecting the explo...
Middle Aged Support Vector Machine Magnetic Resonance Imaging Aged Adult Male Nerve Net Glaucoma, Angle-Closure Humans Machine Learning Brain Female
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BrainNPT: Pre-Training Transformer Networks for Brain Network Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 2, 2024
Deep learning methods have advanced quickly in brain imaging analysis over the past few years, but they are usually restricted by the limited labeled data. Pre-trained model on unlabeled data has presented promising improvement in feature learning in...
Magnetic Resonance Imaging Natural Language Processing Nerve Net Humans Algorithms Neural Networks, Computer Brain Deep Learning
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Flexible gating between subspaces in a neural network model of internally guided task switching.

Nature communications Aug 1, 2024
Behavioral flexibility relies on the brain's ability to switch rapidly between multiple tasks, even when the task rule is not explicitly cued but must be inferred through trial and error. The underlying neural circuit mechanism remains poorly underst...
Neural Networks, Computer Brain Animals Humans Interneurons Models, Neurological Neurons Nerve Net
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Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory.

Journal of computational neuroscience Jul 31, 2024
The computational resources of a neuromorphic network model introduced earlier were investigated in the first paper of this series. It was argued that a form of ubiquitous spontaneous local convolution enabled logical gate-like neural motifs to form ...
Humans Neural Networks, Computer Computer Simulation Nonlinear Dynamics Animals Nerve Net Models, Neurological Memory, Episodic Neurons
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Inductive biases of neural network modularity in spatial navigation.

Science advances Jul 19, 2024
The brain may have evolved a modular architecture for daily tasks, with circuits featuring functionally specialized modules that match the task structure. We hypothesize that this architecture enables better learning and generalization than architect...
Bayes Theorem Nerve Net Spatial Navigation Learning Animals Humans Models, Neurological Neural Networks, Computer Brain
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