AIMC Topic: Dendrites

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A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm.

Computational intelligence and neuroscience Jan 17, 2020
A dendritic neuron model with adaptive synapses (DMASs) based on differential evolution (DE) algorithm training is proposed. According to the signal transmission order, a DNM can be divided into four parts: the synaptic layer, dendritic layer, membra...
Animals Models, Neurological Synapses Dendrites Humans Neural Networks, Computer Algorithms
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An efficient analytical reduction of detailed nonlinear neuron models.

Nature communications Jan 15, 2020
Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of ...
Models, Neurological Neurons Calcium Animals Spatio-Temporal Analysis Mice Pyramidal Cells Dendrites N-Methylaspartate Nonlinear Dynamics alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid Synapses Neural Networks, Computer gamma-Aminobutyric Acid Algorithms
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DeTerm: Software for automatic detection of neuronal dendritic branch terminals via an artificial neural network.

Genes to cells : devoted to molecular & cellular mechanisms May 28, 2019
Dendrites of neurons receive and process synaptic or sensory inputs. The Drosophila class IV dendritic arborization (da) neuron is an established model system to explore molecular mechanisms of dendrite morphogenesis. The total number of dendritic br...
Neural Networks, Computer Software Animals Cerebellum Drosophila Proteins Neurogenesis Larva Mice Neurons Drosophila Dendrites Purkinje Cells
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Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis.

Neural computation Dec 8, 2017
We present a neuromorphic current mode implementation of a spiking neural classifier with lumped square law dendritic nonlinearity. It has been shown previously in software simulations that such a system with binary synapses can be trained with struc...
Pattern Recognition, Automated Biomimetic Materials Electrical Equipment and Supplies Dendrites Semiconductors Nonlinear Dynamics Synapses Models, Neurological Action Potentials Oxides Neural Networks, Computer Computers Animals Metals
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Branching into brains.

eLife Dec 5, 2017
What can artificial intelligence learn from neuroscience, and vice versa?
Deep Learning Neurosciences Dendrites Artificial Intelligence Brain
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The neuromorphological caudate-putaminal clustering of neostriate interneurons: Kohonen self-organizing maps and supervised artificial neural networks with multivariate analysis.

Journal of theoretical biology Nov 21, 2017
AIMS: The objective of this study is to investigate the possibility of the neuromorphotopological clustering of neostriate interneurons (NSIN) and their consequent classification into caudate (CIN) and putaminal neuron type (PIN), according to the nu...
Humans Neural Networks, Computer ROC Curve Cluster Analysis Interneurons Caudate Nucleus Neostriatum Principal Component Analysis Dendrites Factor Analysis, Statistical Putamen Multivariate Analysis
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Dendrites, deep learning, and sequences in the hippocampus.

Hippocampus Oct 30, 2017
The hippocampus places us both in time and space. It does so over remarkably large spans: milliseconds to years, and centimeters to kilometers. This works for sensory representations, for memory, and for behavioral context. How does it fit in such wi...
Hippocampus Dendrites Deep Learning Humans Cognition Animals Models, Neurological
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Classification of adult human dentate nucleus border neurons: Artificial neural networks and multidimensional approach.

Journal of theoretical biology Jun 15, 2016
AIMS: Primary aim in this study is to investigate whether external and internal border neurons of adult human dentate nucleus express the same neuromorphological features or belong to a different morphological types i.e. whether can be classified not...
Humans Principal Component Analysis Neurons Cerebellar Nuclei Neural Networks, Computer Dendrites Adult Cluster Analysis
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Impaired dendritic inhibition leads to epileptic activity in a computer model of CA3.

Hippocampus Apr 22, 2015
Temporal lobe epilepsy (TLE) is a common type of epilepsy with hippocampus as the usual site of origin. The CA3 subfield of hippocampus is reported to have a low epileptic threshold and hence initiates the disorder in patients with TLE. This study co...
Pyramidal Cells Dendrites Epilepsy, Temporal Lobe CA3 Region, Hippocampal Neural Inhibition Humans Neural Networks, Computer Neuronal Plasticity
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Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites.

Neural computation Mar 3, 2015
This letter presents a spike-based model that employs neurons with functionally distinct dendritic compartments for classifying high-dimensional binary patterns. The synaptic inputs arriving on each dendritic subunit are nonlinearly processed before ...
Nonlinear Dynamics Algorithms Models, Neurological Synapses Animals Action Potentials Dendrites Support Vector Machine Neurons
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