AIMC Topic: Action Potentials

Clear Filters Showing 101 to 110 of 521 articles

Hypergraph-Based Numerical Spiking Neural Membrane Systems with Novel Repartition Protocols.

International journal of neural systems May 8, 2024
The classic spiking neural P (SN P) systems abstract the real biological neural network into a simple structure based on graphs, where neurons can only communicate on the plane. This study proposes the hypergraph-based numerical spiking neural membra...
Neural Networks, Computer Computer Simulation Animals Humans Neurons Synapses Neuronal Plasticity Models, Neurological Action Potentials
View on PubMed DOI

Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model.

Neural networks : the official journal of the International Neural Network Society May 6, 2024
Image super-resolution (ISR) is designed to recover lost detail information from low-resolution images, resulting in high-quality and high-definition high-resolution images. In the existing single ISR (SISR) methods based on convolutional neural netw...
Nonlinear Dynamics Algorithms Image Processing, Computer-Assisted Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer
View on PubMed DOI

Deep learning models for atypical serotonergic cells recognition.

Journal of neuroscience methods May 3, 2024
BACKGROUND: The serotonergic system modulates brain processes via functionally distinct subpopulations of neurons with heterogeneous properties, including their electrophysiological activity. In extracellular recordings, serotonergic neurons to be in...
Animals Models, Neurological Deep Learning Action Potentials Mice Serotonergic Neurons
View on PubMed DOI

Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.

IEEE transactions on neural networks and learning systems May 2, 2024
Episodic memory is fundamental to the brain's cognitive function, but how neuronal activity is temporally organized during its encoding and retrieval is still unknown. In this article, combining hippocampus structure with a spiking neural network (SN...
Neural Networks, Computer Algorithms Neuronal Plasticity Humans Hippocampus Memory, Episodic Dendrites Models, Neurological Action Potentials Neurons
View on PubMed DOI

An artificial visual neuron with multiplexed rate and time-to-first-spike coding.

Nature communications May 1, 2024
Human visual neurons rely on event-driven, energy-efficient spikes for communication, while silicon image sensors do not. The energy-budget mismatch between biological systems and machine vision technology has inspired the development of artificial v...
Visual Perception Humans Neural Networks, Computer Models, Neurological Action Potentials Neurons
View on PubMed DOI

Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains.

PLoS computational biology Apr 29, 2024
Probing the architecture of neuronal circuits and the principles that underlie their functional organization remains an important challenge of modern neurosciences. This holds true, in particular, for the inference of neuronal connectivity from large...
Neural Networks, Computer Patch-Clamp Techniques Computational Biology Rats Synapses Action Potentials Models, Neurological Nerve Net Machine Learning Neurons Microelectrodes Algorithms Animals
View on PubMed DOI

High-performance deep spiking neural networks via at-most-two-spike exponential coding.

Neural networks : the official journal of the International Neural Network Society Apr 27, 2024
Spiking neural networks (SNNs) provide necessary models and algorithms for neuromorphic computing. A popular way of building high-performance deep SNNs is to convert ANNs to SNNs, taking advantage of advanced and well-trained ANNs. Here we propose an...
Neurons Algorithms Humans Models, Neurological Neural Networks, Computer Action Potentials
View on PubMed DOI

FPGA-based fast bin-ratio spiking ensemble network for radioisotope identification.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2024
In this work, we demonstrate the training, conversion, and implementation flow of an FPGA-based bin-ratio ensemble spiking neural network applied for radioisotope identification. The combination of techniques including learned step quantisation (LSQ)...
Humans Neural Networks, Computer Algorithms Action Potentials Neurons Radioisotopes
View on PubMed DOI

Classification Method of ECG Signals Based on RANet.

Cardiovascular engineering and technology Apr 23, 2024
BACKGROUND: Electrocardiograms (ECG) are an important source of information on human heart health and are widely used to detect different types of arrhythmias.
Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Heart Rate Signal Processing, Computer-Assisted Electrocardiography Arrhythmias, Cardiac Action Potentials Humans Predictive Value of Tests Neural Networks, Computer Databases, Factual
View on PubMed DOI

Multi-scale full spike pattern for semantic segmentation.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2024
Spiking neural networks (SNNs), as the brain-inspired neural networks, encode information in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to artificial neural networks (ANNs) due to their sparse and event-drive...
Neurons Humans Semantics Neural Networks, Computer Models, Neurological Algorithms Action Potentials Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals