AIMC Topic: Models, Neurological

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Artificial Electrical Morris-Lecar Neuron.

IEEE transactions on neural networks and learning systems Oct 13, 2014
In this paper, an experimental electronic neuron based on a complete Morris-Lecar model is presented, which is able to become an experimental unit tool to study collective association of coupled neurons. The circuit design is given according to the i...
Neurons Electronics Nerve Net Humans Neural Networks, Computer Models, Neurological Electricity
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Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Oct 7, 2014
Decision-making systems trained on structural magnetic resonance imaging data of subjects affected by the Alzheimer's disease (AD) and healthy controls (CTRL) are becoming widespread prognostic tools for subjects with mild cognitive impairment (MCI)....
Alzheimer Disease Connectome Nerve Net Support Vector Machine Models, Neurological Models, Statistical Computer Simulation Female Reproducibility of Results Aged Sensitivity and Specificity Male Humans Brain
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Synchronization among neuronal pools without common inputs: in vivo study.

Brain structure & function Sep 18, 2014
Periodic synchronization of activity among neuronal pools has been related to substantial neural processes and information throughput in the neocortical network. However, the mechanisms of generating such periodic synchronization among distributed po...
Action Potentials Neurons Cortical Synchronization Neocortex Rats, Wistar Rats Models, Neurological Neural Networks, Computer Animals
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Multistate network model for the pathfinding problem with a self-recovery property.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2014
In this study, we propose a continuous model for a pathfinding system. We consider acyclic graphs whose vertices are connected by unidirectional edges. The proposed model autonomously finds a path connecting two specified vertices, and the path is re...
Humans Models, Neurological Embryo, Nonmammalian Xenopus Neural Networks, Computer Algorithms Animals
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A hierarchical model of goal directed navigation selects trajectories in a visual environment.

Neurobiology of learning and memory Jul 29, 2014
We have developed a Hierarchical Look-Ahead Trajectory Model (HiLAM) that incorporates the firing pattern of medial entorhinal grid cells in a planning circuit that includes interactions with hippocampus and prefrontal cortex. We show the model's fle...
Spatial Navigation Robotics Animals Entorhinal Cortex Goals Humans Neurons Motion Perception Prefrontal Cortex Visual Perception Neural Networks, Computer Hippocampus Recognition, Psychology Models, Neurological Environment Algorithms
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Is extreme learning machine feasible? A theoretical assessment (part II).

IEEE transactions on neural networks and learning systems Jul 23, 2014
An extreme learning machine (ELM) can be regarded as a two-stage feed-forward neural network (FNN) learning system that randomly assigns the connections with and within hidden neurons in the first stage and tunes the connections with output neurons i...
Humans Neural Networks, Computer Probability Artificial Intelligence Learning Models, Neurological Neurons Algorithms Computer Simulation
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Is extreme learning machine feasible? A theoretical assessment (part I).

IEEE transactions on neural networks and learning systems Jul 21, 2014
An extreme learning machine (ELM) is a feedforward neural network (FNN) like learning system whose connections with output neurons are adjustable, while the connections with and within hidden neurons are randomly fixed. Numerous applications have dem...
Learning Models, Neurological Neurons Nerve Net Generalization, Psychological Artificial Intelligence Algorithms Computer Simulation Humans Neural Networks, Computer
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Self-organization of a recurrent network under ongoing synaptic plasticity.

Neural networks : the official journal of the International Neural Network Society Jun 5, 2014
We investigated the organization of a recurrent network under ongoing synaptic plasticity using a model of neural oscillators coupled by dynamic synapses. In this model, the coupling weights changed dynamically, depending on the timing between the os...
Neural Conduction Neurons Synapses Humans Fourier Analysis Neural Networks, Computer Neuronal Plasticity Algorithms Models, Neurological Action Potentials
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Rethinking cell-based neural architecture search: A theoretical perspective.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
In this paper, we explore several fundamental theoretical issues in cell-based neural architecture search, including whether different architectures in search space are equally important in terms of the minimal training loss they can achieve, and whe...
Neural Networks, Computer Algorithms Models, Neurological Neurons Humans
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Abnormalities of brain dynamics based on large-scale cortical network modeling in autism spectrum disorder.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Synaptic increase is a common phenomenon in the brain of autism spectrum disorder (ASD). However, the impact of increased synapses on the neurophysiological activity of ASD remains unclear. To address this, we propose a large-scale cortical network m...
Models, Neurological Electroencephalography Cerebral Cortex Autism Spectrum Disorder Brain Humans Male Neural Networks, Computer Neural Pathways Nerve Net
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