AIMC Topic: Neurons

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Virtual reality-empowered deep-learning analysis of brain cells.

Nature methods Apr 22, 2024
Automated detection of specific cells in three-dimensional datasets such as whole-brain light-sheet image stacks is challenging. Here, we present DELiVR, a virtual reality-trained deep-learning pipeline for detecting c-Fos cells as markers for neuron...
Image Processing, Computer-Assisted Mice Proto-Oncogene Proteins c-fos Neurons Animals Deep Learning Virtual Reality Software Brain Humans
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Multi-scale full spike pattern for semantic segmentation.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2024
Spiking neural networks (SNNs), as the brain-inspired neural networks, encode information in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to artificial neural networks (ANNs) due to their sparse and event-drive...
Models, Neurological Humans Action Potentials Algorithms Semantics Neural Networks, Computer Neurons Deep Learning
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Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models.

International journal of neural systems Apr 17, 2024
Deep learning technology has been successfully used in Chest X-ray (CXR) images of COVID-19 patients. However, due to the characteristics of COVID-19 pneumonia and X-ray imaging, the deep learning methods still face many challenges, such as lower ima...
Nonlinear Dynamics Neural Networks, Computer Radiography, Thoracic COVID-19 Humans Models, Neurological Deep Learning Neurons
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Neuromorphic one-shot learning utilizing a phase-transition material.

Proceedings of the National Academy of Sciences of the United States of America Apr 17, 2024
Design of hardware based on biological principles of neuronal computation and plasticity in the brain is a leading approach to realizing energy- and sample-efficient AI and learning machines. An important factor in selection of the hardware building ...
Neural Networks, Computer Computers Learning Neurons Brain
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Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers.

International journal of neural systems Apr 13, 2024
Most existing multi-scale object detectors depend on multi-level feature maps. The Feature Pyramid Networks (FPN) is a significant architecture for object detection that utilizes these multi-level feature maps. However, the use of FPN also increases ...
Action Potentials Neurons Neural Networks, Computer Models, Neurological Humans
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Bridges Between Spiking Neural Membrane Systems and Virus Machines.

International journal of neural systems Apr 13, 2024
Spiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an...
Animals Models, Neurological Neurons Action Potentials Humans Neural Networks, Computer Computer Simulation
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Entropy-Weighted Numerical Gradient Optimization Spiking Neural System for Biped Robot Control.

International journal of neural systems Apr 13, 2024
The optimization of robot controller parameters is a crucial task for enhancing robot performance, yet it often presents challenges due to the complexity of multi-objective, multi-dimensional multi-parameter optimization. This paper introduces a nove...
Humans Computer Simulation Robotics Neurons Neural Networks, Computer Algorithms Entropy
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System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning.

Cell research Apr 11, 2024
The suprachiasmatic nucleus (SCN) is the mammalian central circadian pacemaker with heterogeneous neurons acting in concert while each neuron harbors a self-sustained molecular clockwork. Nevertheless, how system-level SCN signals encode time of the ...
Calcium Signaling Mice, Inbred C57BL Suprachiasmatic Nucleus Circadian Rhythm GABAergic Neurons Animals Machine Learning Calcium Male Neurons Circadian Clocks Mice
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Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence.

International journal of molecular sciences Apr 11, 2024
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating synapses on large populations of CNS neurons. PNN undergo structural changes in schizophrenia, epilepsy, Alzheimer's disease, stroke, post-traumatic co...
Animals Humans Brain Diseases Neurons Artificial Intelligence Synapses Nerve Net Brain Extracellular Matrix Microscopy
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Empirical modeling and prediction of neuronal dynamics.

Biological cybernetics Apr 10, 2024
Mathematical modeling of neuronal dynamics has experienced a fast growth in the last decades thanks to the biophysical formalism introduced by Hodgkin and Huxley in the 1950s. Other types of models (for instance, integrate and fire models), although ...
Humans Neural Networks, Computer Models, Neurological Action Potentials Neurons Computer Simulation Animals
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