AIMC Topic: Neurons

Clear Filters Showing 71 to 80 of 1388 articles

A deep learning framework for automated and generalized synaptic event analysis.

eLife Mar 5, 2025
Quantitative information about synaptic transmission is key to our understanding of neural function. Spontaneously occurring synaptic events carry fundamental information about synaptic function and plasticity. However, their stochastic nature and lo...
Synapses Synaptic Transmission Animals Deep Learning Neurons
View on PubMed DOI

Temporal Contrastive Learning through implicit non-equilibrium memory.

Nature communications Mar 4, 2025
The backpropagation method has enabled transformative uses of neural networks. Alternatively, for energy-based models, local learning methods involving only nearby neurons offer benefits in terms of decentralized training, and allow for the possibili...
Humans Models, Neurological Neurons Memory Neural Networks, Computer Learning Feedback
View on PubMed DOI

A deep learning strategy to identify cell types across species from high-density extracellular recordings.

Cell Feb 28, 2025
High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals an...
Male Deep Learning Mice Optogenetics Cerebellum Animals Neurons Rats Purkinje Cells Interneurons Mice, Inbred C57BL
View on PubMed DOI

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Synaptic plasticity plays a critical role in the expression power of brain neural networks. Among diverse plasticity rules, synaptic scaling presents indispensable effects on homeostasis maintenance and synaptic strength regulation. In the current mo...
Humans Neural Networks, Computer Models, Neurological Action Potentials Learning Synapses Algorithms Animals Neurons Computer Simulation Neuronal Plasticity
View on PubMed DOI

Exploring temporal information dynamics in Spiking Neural Networks: Fast Temporal Efficient Training.

Journal of neuroscience methods Feb 25, 2025
BACKGROUND: Spiking Neural Networks (SNNs) hold significant potential in brain simulation and temporal data processing. While recent research has focused on developing neuron models and leveraging temporal dynamics to enhance performance, there is a ...
Brain Time Factors Action Potentials Neurons Models, Neurological Humans Neural Networks, Computer Algorithms
View on PubMed DOI

An accurate and fast learning approach in the biologically spiking neural network.

Scientific reports Feb 24, 2025
Computations adapted from the interactions of neurons in the nervous system have the potential to be a strong foundation for building computers with cognitive functions including decision-making, generalization, and real-time learning. In this contex...
Action Potentials Machine Learning Neurons Algorithms Models, Neurological Humans Pyramidal Cells Nerve Net Learning Neural Networks, Computer
View on PubMed DOI

Organic Artificial Nerves: Neuromorphic Robotics and Bioelectronics.

Chemical reviews Feb 21, 2025
Neuromorphic electronics are inspired by the human brain's compact, energy-efficient nature and its parallel-processing capabilities. Beyond the brain, the entire human nervous system, with its hierarchical structure, efficiently preprocesses complex...
Electronics Transistors, Electronic Humans Robotics Neurons
View on PubMed DOI

MARBLE: interpretable representations of neural population dynamics using geometric deep learning.

Nature methods Feb 17, 2025
The dynamics of neuron populations commonly evolve on low-dimensional manifolds. Thus, we need methods that learn the dynamical processes over neural manifolds to infer interpretable and consistent latent representations. We introduce a representatio...
Computer Simulation Animals Deep Learning Neural Networks, Computer Algorithms Nonlinear Dynamics Models, Neurological Neurons Rats
View on PubMed DOI

Spiking neural networks on FPGA: A survey of methodologies and recent advancements.

Neural networks : the official journal of the International Neural Network Society Feb 14, 2025
The mimicry of the biological brain's structure in information processing enables spiking neural networks (SNNs) to exhibit significantly reduced power consumption compared to conventional systems. Consequently, these networks have garnered heightene...
Neural Networks, Computer Brain Humans Action Potentials Animals Neurons
View on PubMed DOI

Neuroevolution insights into biological neural computation.

Science (New York, N.Y.) Feb 14, 2025
This article reviews existing work and future opportunities in neuroevolution, an area of machine learning in which evolutionary optimization methods such as genetic algorithms are used to construct neural networks to achieve desired behavior. The ar...
Language Biological Evolution Animals Neural Pathways Machine Learning Humans Neurons Algorithms Neurosciences Neural Networks, Computer Brain
View on PubMed DOI
Popular Topics
Recent Journals