AIMC Topic: Neurons

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CalTrig: A GUI-Based Machine Learning Approach for Decoding Neuronal Calcium Transients in Freely Moving Rodents.

eNeuro Jul 15, 2025
Advances in in vivo Ca imaging using miniature microscopes have enabled researchers to study single-neuron activity in freely moving animals. Tools such as Minian and CalmAn have been developed to convert Ca visual signals to numerical data, collecti...
Calcium Signaling Mice, Inbred C57BL Machine Learning Neurons Animals Calcium Male User-Computer Interface Mice
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Integrative Role of RNA N7-methylguanosine in epilepsy: Regulation of neuronal oxidative phosphorylation, programmed death and immune microenvironment.

PloS one Jul 14, 2025
Epilepsy is a common brain disease that causes different types of seizures, with an incidence rate of nearly 1%. N7-methylguanosine (m7G) is a prevalent RNA modification that has attracted significant attention in recent research. In this study, we i...
Humans Female Neurons Guanosine Oxidative Phosphorylation Male Apoptosis Epilepsy
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Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis.

Nature communications Jul 12, 2025
Activity recognition in live-cell imaging is labor-intensive and requires significant human effort. Existing automated analysis tools are largely limited in versatility. We present the Intelligent Vesicle Exocytosis Analysis (IVEA) platform, an Image...
Exocytosis Humans Animals Microscopy, Fluorescence Deep Learning Neurons Image Processing, Computer-Assisted Synaptic Transmission Rats Fluorescent Dyes
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Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training.

Scientific reports Jul 10, 2025
Spiking neural networks drawing inspiration from biological constraints of the brain promise an energy-efficient paradigm for artificial intelligence. However, challenges exist in identifying guiding principles to train these networks in a robust fas...
Humans Neural Networks, Computer Neurons Nerve Net Animals Models, Neurological Action Potentials
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BN-SNN: Spiking neural networks with bistable neurons for object detection.

PloS one Jul 10, 2025
Spiking neural networks (SNNs) are emerging as a promising evolution in neural network paradigms, offering an alternative to conventional convolutional neural networks (CNNs). One of the most effective methods for SNN development is the CNN-to-SNN co...
Humans Neural Networks, Computer Models, Neurological Algorithms Action Potentials Neurons
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Early transcriptional responses reveal cell type-specific vulnerability and neuroprotective mechanisms in the neonatal ischemic hippocampus.

Acta neuropathologica communications Jul 5, 2025
Neonatal hypoxic-ischemic (H-I) brain injury, a leading cause of neurodevelopmental disabilities, severely affects the metabolically active and neurogenic hippocampus. To investigate its acute effects and identify drug targets for early therapeutic w...
Hypoxia-Ischemia, Brain Hippocampus Animals, Newborn Mice Neuroprotection Mice, Inbred C57BL Microglia Astrocytes Animals Neurons Male Gene Regulatory Networks
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The interplay between homeostatic synaptic scaling and homeostatic structural plasticity maintains the robust firing rate of neural networks.

eLife Jul 4, 2025
Critical network states and neural plasticity enable adaptive behavior in dynamic environments, supporting efficient information processing and experience-dependent learning. Synaptic-weight-based Hebbian plasticity and homeostatic synaptic scaling a...
Entorhinal Cortex Receptors, AMPA Neuronal Plasticity Neurons Synapses Animals Hippocampus Male Homeostasis Female Mice Nerve Net
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Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling.

eLife Jul 3, 2025
Humans and animals exhibit a remarkable ability to selectively filter out irrelevant information based on context. However, the neural mechanisms underlying this context-dependent selection process remain elusive. Recently, the issue of discriminatin...
Humans Neural Networks, Computer Animals Models, Neurological Decision Making Neurons Nerve Net
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Keypoint-based modeling reveals fine-grained body pose tuning in superior temporal sulcus neurons.

Nature communications Jul 1, 2025
Body pose and orientation serve as vital visual signals in primate non-verbal social communication. Leveraging deep learning algorithms that extract body poses from videos of behaving monkeys, applied to a monkey avatar, we investigated neural tuning...
Models, Neurological Macaca mulatta Animals Deep Learning Neurons Temporal Lobe Magnetic Resonance Imaging Male Visual Perception Posture
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Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity.

Nature communications Jul 1, 2025
Many neural computations emerge from self-sustained patterns of activity in recurrent neural circuits, which rely on balanced excitation and inhibition. Neuromorphic electronic circuits represent a promising approach for implementing the brain's comp...
Animals Neuronal Plasticity Humans Models, Neurological Action Potentials Neural Networks, Computer Neurons Brain Nerve Net
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