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The Neuron in Context
Neuroscience has largely abandoned its localizationist and mechanistic framework of the 20thcentury. The plastic, embodied, and network character of...
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Neuron World
Amazing neuron world members! Neurons are a group of brain cells. He is a superstar of all cells, which has a special ability. Various enzymes and...
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How to Build a Neuron
The neuron is simply another term for a brain cell. Cells, as we know, are the teeniest components of all living animals, at least in terms of a...
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Gapr for large-scale collaborative single-neuron reconstruction
Whole-brain analysis of single-neuron morphology is crucial for unraveling the complex structure of the brain. However, large-scale neuron...
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A neuron model with nonlinear membranes
One-layer membrane separates the gradient field in and out of the cell, while some two-layer membranes filled with excitable media/material are...
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Memristive effects on an improved discrete Rulkov neuron model
A change in neuronal-action potential can generate a magnetically induced current during the release and propagation of intracellular ions. To better...
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Synaptic Integration at Neuron-OPC Synapses
The synapses between neurons and oligodendrocyte precursor cells (OPCs) in the central nervous system (CNS) have similar ultrastructures as...
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Protein translation rate determines neocortical neuron fate
The mammalian neocortex comprises an enormous diversity regarding cell types, morphology, and connectivity. In this work, we discover a...
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Strategy of Incremental Learning on a Compartmental Spiking Neuron Model
AbstractThe article presents a method for implementing incremental learning on a compartmental spiking neuron model. The training of one neuron with...
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Switchable memristor-based Hindmarsh-Rose neuron under electromagnetic radiation
Memristors are prevalently used to simulate biological neuronal synapses due to their unique memductance plasticity and memory effects. A new...
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Firing activities of hippocampal CA1 neuron model under electromagnetic stimulation
Electromagnetic neuromodulation has exhibited obvious advantages in exploring the brain cognitive functions and the rehabilitation of brain diseases....
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The Solitonic X-Junction as a Photonic Neuron
This chapter describes in detail the physics behind the formation of photorefractive spatial solitons, taking care also of the mathematical aspects....
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InstantTrace: fast parallel neuron tracing on GPUs
Neuron tracing, also known as neuron reconstruction, is an essential step in investigating the morphology of neuronal circuits and mechanisms of the...
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A novel memristive neuron model and its energy characteristics
The functional neurons are basic building blocks of the nervous system and are responsible for transmitting information between different parts of...
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Energy level transition and mode transition in a neuron
During continuous diffusion and propagation of intracellular ions, energy transition between electric and magnetic field is proceeded to present...
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Multiplicative neuron models for very short-term load forecasting
Load forecasting has always been a crucial component of operational and managerial aspect of efficient power system planning. Since there are several...
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Synchronization behavior and energy evolution in physical neuron and network
From a biophysical point of view, incorporating a variety of electric components into branch circuits of a neuron circuit can enhance the biophysical...
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A discrete memristive neuron and its adaptive dynamics
Capacitive membrane and inductive channels enable the approach of neural activities in some equivalent neural circuits, and involvement of memristive...
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Neuron–oligodendroglial interactions in health and malignant disease
Experience sculpts brain structure and function. Activity-dependent modulation of the myelinated infrastructure of the nervous system has emerged as...
