AIMC Topic: Action Potentials

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Low-power and lightweight spiking transformer for EEG-based auditory attention detection.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2024
EEG signal analysis can be used to study brain activity and the function and structure of neural networks, helping to understand neural mechanisms such as cognition, emotion, and behavior. EEG-based auditory attention detection is using EEG signals t...
Humans Acoustic Stimulation Auditory Perception Signal Processing, Computer-Assisted Neurons Attention Neural Networks, Computer Action Potentials Electroencephalography
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Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Dec 4, 2024
Developmental plasticity plays a prominent role in shaping the brain's structure during ongoing learning in response to dynamically changing environments. However, the existing network compression methods for deep artificial neural networks (ANNs) an...
Action Potentials Neurons Deep Learning Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer Brain Algorithms Animals
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Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity.

IEEE transactions on neural networks and learning systems Dec 2, 2024
Spiking neural networks (SNNs) have captivated the attention worldwide owing to their compelling advantages in low power consumption, high biological plausibility, and strong robustness. However, the intrinsic latency associated with SNNs during infe...
Humans Neuronal Plasticity Models, Neurological Action Potentials Neurons Neural Networks, Computer Algorithms Animals
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Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.

Journal of cardiovascular electrophysiology Nov 29, 2024
BACKGROUND: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibrillation (AF). Although LA wall thickness (LAWT) has emerged as an indicator of structural remodeling, its impact on AF outcomes remains unclear. We aim...
Middle Aged Risk Assessment Time Factors Humans Atrial Function, Left Predictive Value of Tests Risk Factors Heart Rate Pulmonary Veins Aged Registries Catheter Ablation Machine Learning Atrial Remodeling Treatment Outcome Male Recurrence Fibrosis Retrospective Studies Action Potentials Atrial Fibrillation Female Heart Atria
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Arithmetic abilities of SNP systems with astrocytes producing calcium.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Are the membrane systems able of performing arithmetic operations? In the last dozen years, there were published several implementations of the arithmetic operations based on membrane systems by using all available topologies (cell-like, tissue-like,...
Humans Calcium Neural Networks, Computer Astrocytes Models, Neurological Animals Neurons Action Potentials
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Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Current vision-inspired spiking neural networks (SNNs) face key challenges due to their model structures typically focusing on single mechanisms and neglecting the integration of multiple biological features. These limitations, coupled with limited s...
Learning Humans Synapses Action Potentials Neuronal Plasticity Neural Networks, Computer Pattern Recognition, Visual Visual Perception Retina Models, Neurological Neurons
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A digital neuromorphic system for working memory based on spiking neuron-astrocyte network.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Among various types of memory, working memory (WM) plays a crucial role in reasoning, decision-making, and behavior regulation. Neuromorphic computing is a well-established engineering approach that offers promising avenues for advancing our understa...
Action Potentials Humans Memory, Short-Term Neural Networks, Computer Neurons Models, Neurological
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Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Inspired by the brain's information processing using binary spikes, spiking neural networks (SNNs) offer significant reductions in energy consumption and are more adept at incorporating multi-scale biological characteristics. In SNNs, spiking neurons...
Dendrites Algorithms Action Potentials Animals Computer Simulation Neurons Deep Learning Humans Reinforcement, Psychology Models, Neurological Neural Networks, Computer
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Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity.

International journal of neural systems Nov 15, 2024
Eye movements are the primary way primates interact with the world. Understanding how the brain controls the eyes is therefore crucial for improving human health and designing visual rehabilitation devices. However, brain activity is challenging to d...
Macaca mulatta Models, Neurological Action Potentials Neurons Neural Networks, Computer Machine Learning Eye-Tracking Technology Eye Movements Animals Male
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Deep learning-based spike sorting: a survey.

Journal of neural engineering Nov 14, 2024
Deep learning is increasingly permeating neuroscience, leading to a rise in signal-processing applications for extracellular recordings. These signals capture the activity of small neuronal populations, necessitating 'spike sorting' to assign action ...
Humans Neural Networks, Computer Action Potentials Signal Processing, Computer-Assisted Neurons Algorithms Animals Deep Learning
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