AIMC Topic: Action Potentials

Clear Filters Showing 71 to 80 of 521 articles

Deep brain stimulation and lag synchronization in a memristive two-neuron network.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
In the pursuit of potential treatments for neurological disorders and the alleviation of patient suffering, deep brain stimulation (DBS) has been utilized to intervene or investigate pathological neural activities. To explore the exact mechanism of h...
Computer Simulation Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer Nonlinear Dynamics Synapses Action Potentials Neurons Deep Brain Stimulation
View on PubMed DOI

A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
Distributed neuromorphic architecture is a promising technique for on-chip processing of multiple tasks. Deploying the constructed model in a distributed neuromorphic system, however, remains time-consuming and challenging due to considerations such ...
Humans Neural Networks, Computer Neurons Synapses Computer Simulation Models, Neurological Action Potentials Artificial Intelligence Databases, Factual Brain
View on PubMed DOI

Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks.

Nature neuroscience Sep 6, 2024
Understanding the dynamical transformation of neural activity to behavior requires new capabilities to nonlinearly model, dissociate and prioritize behaviorally relevant neural dynamics and test hypotheses about the origin of nonlinearity. We present...
Neurons Neural Networks, Computer Nonlinear Dynamics Nerve Net Models, Neurological Action Potentials Animals Male
View on PubMed DOI

Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey.

IEEE transactions on neural networks and learning systems Sep 3, 2024
With the adoption of smart systems, artificial neural networks (ANNs) have become ubiquitous. Conventional ANN implementations have high energy consumption, limiting their use in embedded and mobile applications. Spiking neural networks (SNNs) mimic ...
Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Models, Neurological Action Potentials Neurons Algorithms Animals Deep Learning
View on PubMed DOI

Delay learning based on temporal coding in Spiking Neural Networks.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Spiking Neural Networks (SNNs) hold great potential for mimicking the brain's efficient processing of information. Although biological evidence suggests that precise spike timing is crucial for effective information encoding, contemporary SNN researc...
Models, Neurological Action Potentials Neurons Neural Networks, Computer Algorithms Humans Learning Time Factors
View on PubMed DOI

A Federated Learning Protocol for Spiking Neural Membrane Systems.

International journal of neural systems Aug 30, 2024
Although deep learning models have shown promising results in solving problems related to image recognition or natural language processing, they do not match how the biological brain works. Some of the differences include the amount of energy consume...
Humans Neural Networks, Computer Models, Neurological Machine Learning Action Potentials Algorithms Neurons Deep Learning
View on PubMed DOI

Sensorimotor control of robots mediated by electrophysiological measurements of fungal mycelia.

Science robotics Aug 28, 2024
Living tissues are still far from being used as practical components in biohybrid robots because of limitations in life span, sensitivity to environmental factors, and stringent culture procedures. Here, we introduce fungal mycelia as an easy-to-use ...
Electrophysiological Phenomena Equipment Design Walking Gait Ultraviolet Rays Mycelium Action Potentials Vibration Robotics
View on PubMed DOI

Digital Biomarker for Muscle Function Assessment Using Surface Electromyography With Electrical Stimulation and a Non-Invasive Wearable Device.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2024
Sarcopenia is a comprehensive degenerative disease with the progressive loss of skeletal muscle mass with age, accompanied by the loss of muscle strength and muscle dysfunction. Individuals with unmanaged sarcopenia may experience adverse outcomes. P...
Healthy Volunteers Adult Muscle Contraction Male Wavelet Analysis Biomarkers Deep Learning Middle Aged Sarcopenia Wearable Electronic Devices Female Humans Muscle, Skeletal Electric Stimulation Action Potentials Young Adult Neural Networks, Computer Electromyography Motor Neurons Algorithms
View on PubMed DOI

Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization.

International journal of neural systems Aug 23, 2024
Since the spiking neural P system (SN P system) was proposed in 2006, it has become a research hotspot in the field of membrane computing. The SN P system performs computations through the encoding, processing, and transmission of spiking information...
Animals Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Computer Simulation
View on PubMed DOI

A new hybrid learning control system for robots based on spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
This paper presents a new hybrid learning and control method that can tune their parameters based on reinforcement learning. In the new proposed method, nonlinear controllers are considered multi-input multi-output functions and then the functions ar...
Reinforcement, Psychology Robotics Neurons Nonlinear Dynamics Neural Networks, Computer Machine Learning Algorithms Models, Neurological Action Potentials Feedback Neuronal Plasticity
View on PubMed DOI
Popular Topics
Recent Journals