AIMC Topic: Neurons

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Simulating Small Neural Circuits with a Discrete Computational Model.

Biological cybernetics Mar 13, 2020
Simulations of neural activity are commonly based on differential equations. We address the question what can be achieved with a simplified discrete model. The proposed model resembles artificial neural networks enriched with additional biologically ...
Nerve Net Membrane Potentials Neural Networks, Computer Animals Models, Neurological Neurons
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Nonlinear Spiking Neural P Systems.

International journal of neural systems Mar 12, 2020
This paper proposes a new variant of spiking neural P systems (in short, SNP systems), nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of each neuron is denoted by a real number, and a real configuration vector...
Neural Networks, Computer Models, Neurological Action Potentials Humans Neurons Membrane Potentials
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Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation.

Neural networks : the official journal of the International Neural Network Society Mar 9, 2020
Recent studies have suggested that the cognitive process of the human brain is realized as probabilistic inference and can be further modeled by probabilistic graphical models like Markov random fields. Nevertheless, it remains unclear how probabilis...
Models, Statistical Neurons Neural Networks, Computer Brain Models, Neurological Humans
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Analysis of neurite length of hippocampal neurons cultured into 3D artificial network patterned microfluidic chips.

The International journal of neuroscience Feb 28, 2020
The study aims to lay a foundational probe for the thorough application microfluidic chips in brain function research with microfluidic chips. Neuron slide culture is a common culture method , and the microfluidic chip with the artificial network pa...
Animals Imaging, Three-Dimensional Rats Neural Networks, Computer Neurites Neurons Cell Culture Techniques Microfluidics Hippocampus
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Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington's disease mice.

BMC bioinformatics Feb 24, 2020
BACKGROUND: MicroRNA (miRNA) regulation is associated with several diseases, including neurodegenerative diseases. Several approaches can be used for modeling miRNA regulation. However, their precision may be limited for analyzing multidimensional da...
Gene Knock-In Techniques Animals Trinucleotide Repeats RNA-Seq Huntington Disease Mice Huntingtin Protein Humans Machine Learning Brain MicroRNAs RNA, Messenger Proteomics Neurons Disease Models, Animal Gene Expression Regulation
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Same same but different: A Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations.

Epilepsia Feb 20, 2020
OBJECTIVE: The microscopic review of hematoxylin-eosin-stained images of focal cortical dysplasia type IIb and cortical tuber of tuberous sclerosis complex remains challenging. Both entities are distinct subtypes of human malformations of cortical de...
Algorithms Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning ROC Curve Neuropathology Humans Cerebral Cortex Area Under Curve Tuberous Sclerosis Proof of Concept Study Neural Networks, Computer Epilepsy Malformations of Cortical Development, Group I Internet Neurons
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Coding with transient trajectories in recurrent neural networks.

PLoS computational biology Feb 13, 2020
Following a stimulus, the neural response typically strongly varies in time and across neurons before settling to a steady-state. While classical population coding theory disregards the temporal dimension, recent works have argued that trajectories o...
Synapses Linear Models Neural Networks, Computer Normal Distribution Software Computer Simulation Computational Biology Models, Neurological Humans Neurons
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Identifying the pulsed neuron networks' structures by a nonlinear Granger causality method.

BMC neuroscience Feb 12, 2020
BACKGROUND: It is a crucial task of brain science researches to explore functional connective maps of Biological Neural Networks (BNN). The maps help to deeply study the dominant relationship between the structures of the BNNs and their network funct...
Humans Neural Networks, Computer Algorithms Neurons Nonlinear Dynamics Multivariate Analysis Brain Neural Pathways Models, Neurological Brain Mapping
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Small-worldness favours network inference in synthetic neural networks.

Scientific reports Feb 10, 2020
A main goal in the analysis of a complex system is to infer its underlying network structure from time-series observations of its behaviour. The inference process is often done by using bi-variate similarity measures, such as the cross-correlation (C...
Caenorhabditis elegans Neural Networks, Computer Synaptic Potentials Neurons Animals Nerve Net Models, Neurological
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Dynamics of unidirectionally-coupled ring neural network with discrete and distributed delays.

Journal of mathematical biology Jan 30, 2020
In this paper, we consider a ring neural network with one-way distributed-delay coupling between the neurons and a discrete delayed self-feedback. In the general case of the distribution kernels, we are able to find a subset of the amplitude death re...
Nonlinear Dynamics Animals Humans Mathematical Concepts Linear Models Models, Neurological Feedback, Physiological Nerve Net Neural Networks, Computer Neurons Electrophysiological Phenomena Computer Simulation
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