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Implementation of threshold- and memory-switching memristors based on electrochemical metallization in an identical ferroelectric electrolyte
The use of an identical electrolyte in electrochemical metallization (ECM)-based neuron and synaptic devices has not yet been achieved due to their...
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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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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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Chaos and Hyperchaos in Two Coupled Identical Hindmarsh – Rose Systems
The dynamics of two coupled neuron models, the Hindmarsh – Rose systems, are studied. Their interaction is simulated via a chemical coupling that is...
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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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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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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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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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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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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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Dataset of human-single neuron activity during a Sternberg working memory task
We present a dataset of 1809 single neurons recorded from the human medial temporal lobe (amygdala and hippocampus) and medial frontal lobe (anterior...
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Hierarchies of description enable understanding of cognitive phenomena in terms of neuron activity
One objective of neuroscience is to understand a wide range of specific cognitive processes in terms of neuron activity. The huge amount of...
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Enhance controllability of a memristive neuron under magnetic field and circuit approach
A quiescent neuron develops static electric field in the media beside two sides of the cell membrane. In presence of external electric stimuli or...
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A bio-inspired visuotactile neuron for multisensory integration
Multisensory integration is a salient feature of the brain which enables better and faster responses in comparison to unisensory integration,...
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GUCY2C signaling limits dopaminergic neuron vulnerability to toxic insults
Mitochondrial dysfunction and reactive oxygen species (ROS) accumulation within the substantia nigra pars compacta (SNpc) are central drivers of...
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Experimental Study of a Prototype of a Superconducting Sigma Neuron for Adiabatic Neural Networks
AbstractThe artificial neuron proposed earlier for use in superconducting neural networks is experimentally studied. The fabricated sample is a...
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A GPU-based computational framework that bridges neuron simulation and artificial intelligence
Biophysically detailed multi-compartment models are powerful tools to explore computational principles of the brain and also serve as a theoretical...
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Reduced cortical neuron number and neuron density in schizophrenia with focus on area 24: a post-mortem case–control study
Structural and functional abnormalities of the anterior cingulate cortex (ACC) have frequently been identified in schizophrenia. Alterations of von...
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Single-neuron mechanisms of neural adaptation in the human temporal lobe
A central function of the human brain is to adapt to new situations based on past experience. Adaptation is reflected behaviorally by shorter...
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Encoding integers and rationals on neuromorphic computers using virtual neuron
Neuromorphic computers emulate the human brain while being extremely power efficient for computing tasks. In fact, they are poised to be critical for...
