AIMC Topic: Models, Neurological

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Dynamics Analysis and Design for a Bidirectional Super-Ring-Shaped Neural Network With n Neurons and Multiple Delays.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Recently, the dynamics of delayed neural networks has always incurred the widespread concern of scholars. However, they are mostly confined to some simplified neural networks, which are only made up of a small amount of neurons. The main cause is tha...
Feedback Models, Neurological Neurons Neural Networks, Computer Algorithms Computer Simulation Linear Models
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Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Portfolio selection is one of the important issues in financial investments. This article is concerned with portfolio selection based on collaborative neurodynamic optimization. The classic Markowitz mean-variance (MV) framework and its variant mean ...
Computer Simulation Models, Neurological Models, Economic Neural Networks, Computer Algorithms
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A convolutional neural-network framework for modelling auditory sensory cells and synapses.

Communications biology Jul 1, 2021
In classical computational neuroscience, analytical model descriptions are derived from neuronal recordings to mimic the underlying biological system. These neuronal models are typically slow to compute and cannot be integrated within large-scale neu...
Reproducibility of Results Models, Neurological Action Potentials Synapses Cochlear Nerve Hair Cells, Auditory, Inner Humans Neural Networks, Computer Computer Simulation
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On the Role of Arkypallidal and Prototypical Neurons for Phase Transitions in the External Pallidum.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jun 30, 2021
The external pallidum (globus pallidus pars externa [GPe]) plays a central role for basal ganglia functions and dynamics and, consequently, has been included in most computational studies of the basal ganglia. These studies considered the GPe as a ho...
Models, Neurological Neurons Globus Pallidus Animals Models, Theoretical Humans Neural Networks, Computer
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Noise Correlations for Faster and More Robust Learning.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jun 30, 2021
Distributed population codes are ubiquitous in the brain and pose a challenge to downstream neurons that must learn an appropriate readout. Here we explore the possibility that this learning problem is simplified through inductive biases implemented ...
Signal-To-Noise Ratio Discrimination, Psychological Models, Neurological Attention Computer Simulation Learning Animals Humans Neural Networks, Computer Brain
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Biological constraints on neural network models of cognitive function.

Nature reviews. Neuroscience Jun 28, 2021
Neural network models are potential tools for improving our understanding of complex brain functions. To address this goal, these models need to be neurobiologically realistic. However, although neural networks have advanced dramatically in recent ye...
Neural Networks, Computer Brain Cognition Neuronal Plasticity Models, Neurological Neurons Humans
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Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI.

NeuroImage Jun 26, 2021
Estimation of white matter fiber orientation distribution function (fODF) is the essential first step for reliable brain tractography and connectivity analysis. Most of the existing fODF estimation methods rely on sub-optimal physical models of the d...
White Matter Phantoms, Imaging Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Computer Simulation Models, Neurological Nerve Fibers Humans Machine Learning
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From synapse to network: models of information storage and retrieval in neural circuits.

Current opinion in neurobiology Jun 24, 2021
The mechanisms of information storage and retrieval in brain circuits are still the subject of debate. It is widely believed that information is stored at least in part through changes in synaptic connectivity in networks that encode this information...
Information Storage and Retrieval Nerve Net Models, Neurological Synapses Neural Networks, Computer Neuronal Plasticity
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Behavioral correlates of cortical semantic representations modeled by word vectors.

PLoS computational biology Jun 23, 2021
The quantitative modeling of semantic representations in the brain plays a key role in understanding the neural basis of semantic processing. Previous studies have demonstrated that word vectors, which were originally developed for use in the field o...
Computational Biology Magnetic Resonance Imaging Models, Neurological Middle Aged Functional Neuroimaging Models, Psychological Visual Perception Behavior Brain Mapping Natural Language Processing Semantics Brain Language Female Young Adult Adult Male Humans Auditory Perception Motion Pictures
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MEG Source Localization via Deep Learning.

Sensors (Basel, Switzerland) Jun 22, 2021
We present a deep learning solution to the problem of localization of magnetoencephalography (MEG) brain signals. The proposed deep model architectures are tuned to single and multiple time point MEG data, and can estimate varying numbers of dipole s...
Models, Neurological Brain Mapping Electroencephalography Magnetoencephalography Brain Computer Simulation Deep Learning Humans Algorithms
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