AIMC Topic: Neurons

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Spiking Neural P Systems with Delay on Synapses.

International journal of neural systems Jul 23, 2020
Based on the feature and communication of neurons in animal neural systems, spiking neural P systems (SN P systems) were proposed as a kind of powerful computing model. Considering the length of axons and the information transmission speed on synapse...
Models, Neurological Action Potentials Neural Networks, Computer Animals Neurons Synapses
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Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode.

Neural computation Jul 20, 2020
For most multistate Hopfield neural networks, the stability conditions in asynchronous mode are known, whereas those in synchronous mode are not. If they were to converge in synchronous mode, recall would be accelerated by parallel processing. Comple...
Neural Networks, Computer Algorithms Computer Simulation Neurons
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A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation.

Neural computation Jul 20, 2020
Bursting plays an important role in neural communication. At the population level, macroscopic bursting has been identified in populations of neurons that do not express intrinsic bursting mechanisms. For the analysis of phase transitions between bur...
Synaptic Transmission Computer Simulation Humans Action Potentials Neural Networks, Computer Neurons Nerve Net
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A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling.

Neural networks : the official journal of the International Neural Network Society Jul 16, 2020
Approaching to the biological neural network, small-world neural networks have been demonstrated to improve the generalization performance of artificial neural networks. However, the architecture of small-world neural networks is typically large and ...
Neural Networks, Computer Algorithms Neurons Nonlinear Dynamics
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Automated Curation of CNMF-E-Extracted ROI Spatial Footprints and Calcium Traces Using Open-Source AutoML Tools.

Frontiers in neural circuits Jul 15, 2020
1-photon (1p) calcium imaging is an increasingly prevalent method in behavioral neuroscience. Numerous analysis pipelines have been developed to improve the reliability and scalability of pre-processing and ROI extraction for these large calcium ima...
Neurons Humans Image Processing, Computer-Assisted Calcium Microscopy, Fluorescence Machine Learning Automation Optical Imaging
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Neural networks of different species, brain areas and states can be characterized by the probability polling state.

The European journal of neuroscience Jul 11, 2020
Cortical networks are complex systems of a great many interconnected neurons that operate from collective dynamical states. To understand how cortical neural networks function, it is important to identify their common dynamical operating states from ...
Brain Animals Neurons Neural Networks, Computer Probability Entropy Mice Models, Neurological
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Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis.

Neuron Jun 29, 2020
A major obstacle to treating Alzheimer's disease (AD) is our lack of understanding of the molecular mechanisms underlying selective neuronal vulnerability, a key characteristic of the disease. Here, we present a framework integrating high-quality neu...
Neurons Alzheimer Disease Animals Aging Humans Machine Learning Gene Regulatory Networks Mice Gene Expression Profiling Transcriptome
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Prefrontal oscillations modulate the propagation of neuronal activity required for working memory.

Neurobiology of learning and memory Jun 17, 2020
Cognition involves using attended information, maintained in working memory (WM), to guide action. During a cognitive task, a correct response requires flexible, selective gating so that only the appropriate information flows from WM to downstream ef...
Beta Rhythm Gamma Rhythm Memory, Short-Term Neurons Humans Neural Networks, Computer Prefrontal Cortex Electroencephalography
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A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays.

Neural networks : the official journal of the International Neural Network Society Jun 16, 2020
This research paper conducts an investigation into the stability issue for a more general class of neutral-type Hopfield neural networks that involves multiple time delays in the states of neurons and multiple neutral delays in the time derivatives o...
Computer Simulation Time Factors Neurons Neural Networks, Computer Algorithms
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A spiking neural network-based long-term prediction system for biogas production.

Neural networks : the official journal of the International Neural Network Society Jun 5, 2020
Efficient energy production from biomass is a central issue in the context of clean alternative energy resource. In this work we propose a novel model based on spiking neural networks cubes in order to model the chemical processes that goes on in a d...
Neural Networks, Computer Neurons Forecasting Biofuels Anaerobiosis
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