AIMC Topic: Neurons

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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 Artificial Intelligence Models, Neurological Algorithms Neurons Computer Simulation Nerve Net Humans Generalization, Psychological 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...
Neuronal Plasticity Models, Neurological Action Potentials Neural Networks, Computer Algorithms Humans Neural Conduction Neurons Synapses Fourier Analysis
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Effects of vascular endothelial cells on the neurite outgrowth of nerve cells.

Journal of bioscience and bioengineering Sep 1, 2025
The vascular and neuronal networks are structurally complex and highly branched. These networks play an important role in supplying oxygen and sending signals to the tissues and organs in the body. This study proposes procedures to prepare in vitro n...
Human Umbilical Vein Endothelial Cells Neurons Collagen Animals Rats Neuronal Outgrowth Nerve Growth Factor Neurites PC12 Cells Humans
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Visualizing nuclear pore complex plasticity with pan-expansion microscopy.

The Journal of cell biology Sep 1, 2025
The exploration of cell-type and environmentally responsive nuclear pore complex (NPC) plasticity requires new, accessible tools. Using pan-expansion microscopy (pan-ExM), NPCs were identified by machine learning-facilitated segmentation. They exhibi...
Humans Membrane Glycoproteins Nuclear Pore C9orf72 Protein Microscopy Induced Pluripotent Stem Cells Nuclear Envelope Amyotrophic Lateral Sclerosis Neurons
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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...
Humans Neural Networks, Computer Algorithms Models, Neurological Neurons
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Evaluating safe infrared neural stimulation parameters: Calcium dynamics and excitotoxicity thresholds in dorsal root ganglia neurons.

Journal of neuroscience methods Sep 1, 2025
BACKGROUND: As a promising neural stimulation technique, infrared neural stimulation (INS) has recently gained significant attention due to its ability to stimulate neuronal activities without needing exogenous agents. NIR light is absorbed by water ...
Microscopy, Fluorescence Neurons Calcium Ganglia, Spinal Infrared Rays Cells, Cultured Animals Rats
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Implementing feature binding through dendritic networks of a single neuron.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
A single neuron receives an extensive array of synaptic inputs through its dendrites, raising the fundamental question of how these inputs undergo integration and summation, culminating in the initiation of spikes in the soma. Experimental and comput...
Neural Networks, Computer Nerve Net Dendrites Purkinje Cells Action Potentials Neurons Synapses Computer Simulation Animals Models, Neurological
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Cortical-subcortical neural networks for motor learning and storing sequence memory.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Motor sequence learning relies on the synergistic collaboration of multiple brain regions. However, most existing models for motor sequence learning primarily focus on functional-level analyses of sequence memory mechanisms, providing limited neuroph...
Cerebral Cortex Neural Pathways Nerve Net Memory Thalamus Models, Neurological Memory, Short-Term Neurons Learning Prefrontal Cortex Humans Neural Networks, Computer
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Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics.

Neural computation Aug 8, 2025
Understanding how brain networks learn and manage multiple tasks simultaneously is of interest in both neuroscience and artificial intelligence. In this regard, a recent research thread in theoretical neuroscience has focused on how recurrent neural ...
Nerve Net Learning Models, Neurological Neurons Humans Neural Networks, Computer Artificial Intelligence Brain
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Exploring the Architectural Biases of the Cortical Microcircuit.

Neural computation Aug 8, 2025
The cortex plays a crucial role in various perceptual and cognitive functions, driven by its basic unit, the canonical cortical microcircuit. Yet, we remain short of a framework that definitively explains the structure-function relationships of this ...
Humans Neural Networks, Computer Neurons Cerebral Cortex Nerve Net Learning Animals Models, Neurological
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