AIMC Topic: Neurons

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Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics.

Nature communications Aug 20, 2025
Light can serve as a tunable trigger for neurobioengineering technologies, enabling probing, control, and enhancement of brain function with unmatched spatiotemporal precision. Yet, these technologies often require genetic or structural alterations o...
Optogenetics Induced Pluripotent Stem Cells Organoids Alzheimer Disease Graphite Brain Animals Cell Differentiation Neurons Robotics Humans
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A dynamic examination of the digital circuit implementing the Fitzhugh-Nagumo neuron model with emphasis on low power consumption and high precision.

PloS one Aug 20, 2025
Neuromorphic computing has got more attention in various tasks during recent years. The main goal of this field is to explore neural functionality in the brain. The studies of spiking neurons and Spiking Neural Networks (SNNs) are vital to understand...
Computer Simulation Neural Networks, Computer Models, Neurological Humans Algorithms Neurons
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Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025
Identification of the neuron type is critical when using extracellular recordings in awake, behaving animal subjects to understand computation in neural circuits. Yet, modern recording probes have limited power to resolve neuron identity. Here, we pr...
Neurons Cerebellum Wakefulness Deep Learning Action Potentials Animals Macaca mulatta Male Pursuit, Smooth
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Rapid, interpretable data-driven models of neural dynamics using recurrent mechanistic models.

Proceedings of the National Academy of Sciences of the United States of America Aug 4, 2025
Obtaining predictive models of a neural system is notoriously challenging. Detailed models suffer from excess model complexity and are difficult to fit efficiently. Simplified models must negotiate a tradeoff between tractability, predictive power, a...
Models, Neurological Neurons Neural Networks, Computer Animals
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A multisynaptic spiking neuron for simultaneously encoding spatiotemporal dynamics.

Nature communications Aug 4, 2025
Spiking neural networks (SNNs) are biologically more plausible and computationally more powerful than artificial neural networks due to their intrinsic temporal dynamics. However, vanilla spiking neurons struggle to simultaneously encode spatiotempor...
Neural Networks, Computer Algorithms Animals Humans Neurons Axons Synapses Models, Neurological Action Potentials Spatio-Temporal Analysis
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Contrastive learning-driven framework for neuron morphology classification.

Scientific reports Jul 30, 2025
The Neuron morphology classification is a critical task in neuroscience research, as the morphological features of neurons are closely linked to the functional characteristics of neural circuits. However, traditional classification methods often stru...
Neurons Algorithms Models, Neurological Neural Networks, Computer Machine Learning Humans
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Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks.

Nature communications Jul 30, 2025
Brain networks exhibit diverse topological structures to adapt and support brain functions. The changes in neuronal network architecture can lead to alterations in neuronal spiking activity, yet how individual neuronal behavior reflects network struc...
Fractals Animals Models, Neurological Neurons Nerve Net Action Potentials Humans Brain
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Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.

Journal of neural engineering Jul 21, 2025
Closed-loop brain-computer interfaces can be used to bridge, modulate, or repair damaged connections within the brain to restore functional deficits. Towards this goal, we demonstrate that small artificial spiking neural networks can be bidirectional...
Brain-Computer Interfaces Male Motor Cortex Neural Networks, Computer Action Potentials Animals Macaca mulatta Neurons
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Unraveling the emergent chorus of the mind: Machine learning reveals how a hidden neural code orchestrates diverse emotion states.

Science (New York, N.Y.) Jul 17, 2025
Machine learning reveals how a hidden neural code orchestrates diverse emotion states.
Emotions Humans Neurons Machine Learning Brain
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Multi-tissue Methylation Analysis of Alzheimer's Disease: Insights into Pathways, Modules, and Key Genes.

Journal of molecular neuroscience : MN Jul 16, 2025
DNA methylation plays a crucial role in the onset and progression of Alzheimer's disease (AD). Genome-wide methylation analysis of multi-tissue data can provide insights into the pathology and diagnostic biomarkers of AD. Computational tools were emp...
Transforming Growth Factor beta1 Neurons Kruppel-Like Factor 4 Kruppel-Like Transcription Factors Alzheimer Disease Protein Interaction Maps Gene Regulatory Networks DNA Methylation Male Cell Line, Tumor Humans Thrombospondin 1 Hypoxia-Inducible Factor 1, alpha Subunit Female Neuroglia Aged
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