AIMC Topic: Neurons

Clear Filters Showing 171 to 180 of 1388 articles

SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT.

Neural networks : the official journal of the International Neural Network Society Aug 20, 2024
Spiking Neural Networks (SNNs) are naturally suited to process sequence tasks such as NLP with low power, due to its brain-inspired spatio-temporal dynamics and spike-driven nature. Current SNNs employ "repeat coding" that re-enter all input tokens a...
Neurons Deep Learning Models, Neurological Action Potentials Neural Networks, Computer Algorithms Humans
View on PubMed DOI

Accurate neuron segmentation method for one-photon calcium imaging videos combining convolutional neural networks and clustering.

Communications biology Aug 9, 2024
One-photon fluorescent calcium imaging helps understand brain functions by recording large-scale neural activities in freely moving animals. Automatic, fast, and accurate active neuron segmentation algorithms are essential to extract and interpret in...
Image Processing, Computer-Assisted Mice Cluster Analysis Neurons Calcium Algorithms Brain Animals Neural Networks, Computer Software
View on PubMed DOI

Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Multi-focus image fusion (MFIF) is an important technique that aims to combine the focused regions of multiple source images into a fully clear image. Decision-map methods are widely used in MFIF to maximize the preservation of information from the s...
Humans Neural Networks, Computer Algorithms Animals Image Processing, Computer-Assisted Neurons Models, Neurological Action Potentials
View on PubMed DOI

Signatures of Bayesian inference emerge from energy-efficient synapses.

eLife Aug 6, 2024
Biological synaptic transmission is unreliable, and this unreliability likely degrades neural circuit performance. While there are biophysical mechanisms that can increase reliability, for instance by increasing vesicle release probability, these mec...
Bayes Theorem Neurons Energy Metabolism Animals Models, Neurological Synapses Synaptic Transmission Neural Networks, Computer
View on PubMed DOI

Visually guided swarm motion coordination via insect-inspired small target motion reactions.

Bioinspiration & biomimetics Aug 6, 2024
Despite progress developing experimentally-consistent models of insect in-flight sensing and feedback for individual agents, a lack of systematic understanding of the multi-agent and group performance of the resulting bio-inspired sensing and feedbac...
Computer Simulation Animals Robotics Biomimetics Insecta Flight, Animal Models, Biological Neurons Motion
View on PubMed DOI

Real-time hardware emulation of neural cultures: A comparative study of in vitro, in silico and in duris silico models.

Neural networks : the official journal of the International Neural Network Society Aug 5, 2024
Biological neural networks are well known for their capacity to process information with extremely low power consumption. Fields such as Artificial Intelligence, with high computational costs, are seeking for alternatives inspired in biological syste...
Cells, Cultured Computer Simulation Animals Models, Neurological Action Potentials Humans Neurons Neural Networks, Computer
View on PubMed DOI

Hydrogel-Based Artificial Synapses for Sustainable Neuromorphic Electronics.

Advanced materials (Deerfield Beach, Fla.) Aug 1, 2024
Hydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties. Hydrogels can be chemically functionalized or reinforced to respond to physical or chemical stimul...
Neural Networks, Computer Animals Neurons Synapses Electronics Humans Transistors, Electronic Hydrogels Biocompatible Materials
View on PubMed DOI

Flexible gating between subspaces in a neural network model of internally guided task switching.

Nature communications Aug 1, 2024
Behavioral flexibility relies on the brain's ability to switch rapidly between multiple tasks, even when the task rule is not explicitly cued but must be inferred through trial and error. The underlying neural circuit mechanism remains poorly underst...
Neural Networks, Computer Brain Animals Humans Nerve Net Models, Neurological Interneurons Neurons
View on PubMed DOI

Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory.

Journal of computational neuroscience Jul 31, 2024
The computational resources of a neuromorphic network model introduced earlier were investigated in the first paper of this series. It was argued that a form of ubiquitous spontaneous local convolution enabled logical gate-like neural motifs to form ...
Neural Networks, Computer Computer Simulation Nerve Net Animals Humans Models, Neurological Memory, Episodic Neurons Nonlinear Dynamics
View on PubMed DOI

Multitask learning of a biophysically-detailed neuron model.

PLoS computational biology Jul 31, 2024
The human brain operates at multiple levels, from molecules to circuits, and understanding these complex processes requires integrated research efforts. Simulating biophysically-detailed neuron models is a computationally expensive but effective meth...
Membrane Potentials Computational Biology Humans Machine Learning Electroencephalography Neural Networks, Computer Brain Neurons Computer Simulation Magnetoencephalography Models, Neurological Action Potentials
View on PubMed DOI
Popular Topics
Recent Journals