AIMC Topic: Models, Neurological

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Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.

International journal of neural systems Jun 1, 2020
In the context of neuro-pathological disorders, neuroimaging has been widely accepted as a clinical tool for diagnosing patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). The advanced deep learning method, a novel brain imagi...
Alzheimer Disease Datasets as Topic Neuroimaging Magnetic Resonance Imaging Models, Neurological Sensitivity and Specificity Male Cognitive Dysfunction Female Support Vector Machine Humans Aged Deep Learning Aged, 80 and over
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Automatic Adaptation of Model Neurons and Connections to Build Hybrid Circuits with Living Networks.

Neuroinformatics Jun 1, 2020
Hybrid circuits built by creating mono- or bi-directional interactions among living cells and model neurons and synapses are an effective way to study neuron, synaptic and neural network dynamics. However, hybrid circuit technology has been largely u...
Brachyura Synapses Animals Neural Networks, Computer Models, Neurological Central Pattern Generators
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Extreme value theory of evolving phenomena in complex dynamical systems: Firing cascades in a model of a neural network.

Chaos (Woodbury, N.Y.) Apr 1, 2020
We extend the scope of the dynamical theory of extreme values to include phenomena that do not happen instantaneously but evolve over a finite, albeit unknown at the onset, time interval. We consider complex dynamical systems composed of many individ...
Computer Simulation Neural Networks, Computer Humans Neurons Models, Neurological
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EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition.

Cognitive science Apr 1, 2020
Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-ste...
Neural Networks, Computer Computer Simulation Female Humans Models, Neurological Semantics Speech Perception Male Speech Phonetics
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STDP Forms Associations between Memory Traces in Networks of Spiking Neurons.

Cerebral cortex (New York, N.Y. : 1991) Mar 14, 2020
Memory traces and associations between them are fundamental for cognitive brain function. Neuron recordings suggest that distributed assemblies of neurons in the brain serve as memory traces for spatial information, real-world items, and concepts. Ho...
Memory Learning Neuronal Plasticity Action Potentials Neurons Models, Neurological Humans Neural Networks, Computer
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Dynamic behaviors of hyperbolic-type memristor-based Hopfield neural network considering synaptic crosstalk.

Chaos (Woodbury, N.Y.) Mar 1, 2020
Crosstalk phenomena taking place between synapses can influence signal transmission and, in some cases, brain functions. It is thus important to discover the dynamic behaviors of the neural network infected by synaptic crosstalk. To achieve this, in ...
Synapses Models, Neurological Nonlinear Dynamics Humans Neural Networks, Computer
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Deep learning for clustering of multivariate clinical patient trajectories with missing values.

GigaScience Nov 1, 2019
BACKGROUND: Precision medicine requires a stratification of patients by disease presentation that is sufficiently informative to allow for selecting treatments on a per-patient basis. For many diseases, such as neurological disorders, this stratifica...
Databases, Factual Precision Medicine Male Disease Progression Female Humans Deep Learning Alzheimer Disease Parkinson Disease Models, Neurological
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Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph.

Chaos (Woodbury, N.Y.) Jul 1, 2019
The steady state motion visual evoked potential (SSMVEP)-based brain computer interface (BCI), which incorporates the motion perception capabilities of the human visual system to alleviate the negative effects caused by strong visual stimulation from...
Electroencephalography Brain-Computer Interfaces Evoked Potentials, Visual Support Vector Machine Models, Neurological Humans Photic Stimulation Brain
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[Artificial Intelligence and Cerebellar Motor Learning].

Brain and nerve = Shinkei kenkyu no shinpo Jul 1, 2019
Half a century ago, cerebellar learning models based on a simple perceptron were proposed independently by Marr and Albus. Soon, these models were combined with Ito's flocculus hypothesis that the cerebellar flocculus controls the vestibulo-ocular re...
Synapses Reflex, Vestibulo-Ocular Models, Neurological Cerebellum Neural Networks, Computer Artificial Intelligence Humans Neuronal Plasticity
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Neural population control via deep image synthesis.

Science (New York, N.Y.) May 3, 2019
Particular deep artificial neural networks (ANNs) are today's most accurate models of the primate brain's ventral visual stream. Using an ANN-driven image synthesis method, we found that luminous power patterns (i.e., images) can be applied to primat...
Nerve Net Models, Neurological Neural Networks, Computer Neurons Visual Cortex Animals Macaca Visual Fields
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