AIMC Topic: Neurons

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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...
Learning Neurons Models, Neurological Algorithms Time Factors Humans Action Potentials Neural Networks, Computer
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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...
Neurons Models, Neurological Action Potentials Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer
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NeuroQuantify - An image analysis software for detection and quantification of neuron cells and neurite lengths using deep learning.

Journal of neuroscience methods Aug 27, 2024
BACKGROUND: The segmentation of cells and neurites in microscopy images of neuronal networks provides valuable quantitative information about neuron growth and neuronal differentiation, including the number of cells, neurites, neurite length and neur...
Neurons Neurites Microscopy, Phase-Contrast Animals Deep Learning Image Processing, Computer-Assisted Humans Software
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Regression convolutional neural network models implicate peripheral immune regulatory variants in the predisposition to Alzheimer's disease.

PLoS computational biology Aug 26, 2024
Alzheimer's disease (AD) involves aggregation of amyloid β and tau, neuron loss, cognitive decline, and neuroinflammatory responses. Both resident microglia and peripheral immune cells have been associated with the immune component of AD. However, th...
Microglia Neurons Alzheimer Disease Genetic Predisposition to Disease Computational Biology Humans Neural Networks, Computer
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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...
Models, Neurological Action Potentials Neurons Computer Simulation Humans Animals Neural Networks, Computer
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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...
Action Potentials Robotics Algorithms Models, Neurological Feedback Neural Networks, Computer Neurons Nonlinear Dynamics Neuronal Plasticity Machine Learning Reinforcement, Psychology
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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...
Algorithms Deep Learning Action Potentials Neurons Models, Neurological Humans Neural Networks, Computer
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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...
Calcium Cluster Analysis Neurons Algorithms Neural Networks, Computer Animals Brain Image Processing, Computer-Assisted Software Mice
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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...
Algorithms Animals Image Processing, Computer-Assisted Humans Neural Networks, Computer Neurons Models, Neurological Action Potentials
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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...
Neural Networks, Computer Animals Energy Metabolism Synapses Bayes Theorem Neurons Synaptic Transmission Models, Neurological
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