AIMC Topic: Action Potentials

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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 ...
Robotics Equipment Design Walking Gait Action Potentials Electrophysiological Phenomena Ultraviolet Rays Mycelium Vibration
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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...
Muscle Contraction Wavelet Analysis Electric Stimulation Humans Adult Action Potentials Motor Neurons Biomarkers Deep Learning Muscle, Skeletal Female Electromyography Male Wearable Electronic Devices Young Adult Middle Aged Healthy Volunteers Sarcopenia Neural Networks, Computer Algorithms
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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 Neural Networks, Computer Humans Computer Simulation
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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...
Nonlinear Dynamics Reinforcement, Psychology Algorithms Feedback Neuronal Plasticity Robotics Neurons Models, Neurological Action Potentials Neural Networks, Computer Machine Learning
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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 Neural Networks, Computer Deep Learning Algorithms Models, Neurological Action Potentials Humans
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Artificial intelligence-driven electrocardiography: Innovations in hypertrophic cardiomyopathy management.

Trends in cardiovascular medicine Aug 13, 2024
Hypertrophic Cardiomyopathy (HCM) presents a complex diagnostic and prognostic challenge due to its heterogeneous phenotype and clinical course. Artificial Intelligence (AI) and Machine Learning (ML) techniques hold promise in transforming the role o...
Humans Artificial Intelligence Prognosis Predictive Value of Tests Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Heart Rate Electrocardiography Cardiomyopathy, Hypertrophic Deep Learning Action Potentials Clinical Decision-Making Death, Sudden, Cardiac Risk Factors Risk Assessment
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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...
Models, Neurological Action Potentials Neurons Algorithms Animals Image Processing, Computer-Assisted Humans Neural Networks, Computer
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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...
Humans Animals Models, Neurological Action Potentials Neurons Neural Networks, Computer Cells, Cultured Computer Simulation
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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...
Magnetoencephalography Membrane Potentials Action Potentials Brain Electroencephalography Humans Computational Biology Computer Simulation Neurons Neural Networks, Computer Models, Neurological Machine Learning
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Spiking Laguerre Volterra networks-predicting neuronal activity from local field potentials.

Journal of neural engineering Jul 29, 2024
Understanding the generative mechanism between local field potentials (LFP) and neuronal spiking activity is a crucial step for understanding information processing in the brain. Up to now, most approaches have relied on simply quantifying the coupli...
Neural Networks, Computer Female Aged Models, Neurological Action Potentials Male Middle Aged Humans Microelectrodes Parkinson Disease Neurons Deep Brain Stimulation
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