AIMC Topic: Synapses

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S-ketamine exposure in early postnatal period induces social deficit mediated by excessive microglial synaptic pruning.

Molecular psychiatry Mar 11, 2025
The impact of general anesthetics on neurodevelopment is highly controversial in terms of clinical and preclinical studies. Evidence mounted in recent years indicated development of social cognitions was more susceptible to general anesthesia in earl...
Neuronal Plasticity Mice, Inbred C57BL Microglia Prefrontal Cortex Mice Behavior, Animal Synaptic Transmission Social Behavior Synapses Animals, Newborn Ketamine Animals Male Female
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A deep learning framework for automated and generalized synaptic event analysis.

eLife Mar 5, 2025
Quantitative information about synaptic transmission is key to our understanding of neural function. Spontaneously occurring synaptic events carry fundamental information about synaptic function and plasticity. However, their stochastic nature and lo...
Synapses Animals Synaptic Transmission Deep Learning Neurons
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Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Synaptic plasticity plays a critical role in the expression power of brain neural networks. Among diverse plasticity rules, synaptic scaling presents indispensable effects on homeostasis maintenance and synaptic strength regulation. In the current mo...
Synapses Action Potentials Neurons Computer Simulation Learning Neuronal Plasticity Models, Neurological Animals Humans Neural Networks, Computer Algorithms
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Organic Synaptic Transistors Based on a Semiconductor Heterojunction for Artificial Visual and Neuromorphic Functions.

Nano letters Feb 17, 2025
Visual acuity is the ability of the biological retina to distinguish images. High-sensitivity image acquisition improves the quality of visual perception, making images more recognizable for the visual system. Therefore, developing synaptic phototran...
Synapses Transistors, Electronic Neural Networks, Computer Humans Semiconductors
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Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Since digital spiking signals can carry rich information and propagate with low computational consumption, spiking neural networks (SNNs) have received great attention from neuroscientists and are regarded as the future development object of neural n...
Humans Neural Networks, Computer Animals Models, Neurological Action Potentials Algorithms Computer Simulation Neurons Synapses
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The calcitron: A simple neuron model that implements many learning rules via the calcium control hypothesis.

PLoS computational biology Jan 29, 2025
Theoretical neuroscientists and machine learning researchers have proposed a variety of learning rules to enable artificial neural networks to effectively perform both supervised and unsupervised learning tasks. It is not always clear, however, how t...
Neuronal Plasticity Humans Animals Calcium Models, Neurological Computational Biology Synapses Machine Learning Neural Networks, Computer Neurons Learning
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Low-power artificial neuron networks with enhanced synaptic functionality using dual transistor and dual memristor.

PloS one Jan 27, 2025
Artificial neurons with bio-inspired firing patterns have the potential to significantly improve the performance of neural network computing. The most significant component of an artificial neuron circuit is a large amount of energy consumption. Rece...
Transistors, Electronic Neurons Neural Networks, Computer Models, Neurological Synapses Action Potentials
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Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation.

Proceedings of the National Academy of Sciences of the United States of America Jan 16, 2025
Recurrent neural networks (RNNs) based on model neurons that communicate via continuous signals have been widely used to study how cortical neural circuits perform cognitive tasks. Training such networks to perform tasks that require information main...
Animals Nerve Net Prefrontal Cortex Humans Neurons Models, Neurological Cognition Neural Networks, Computer Synapses Memory, Short-Term
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Dynamic Control of Weight-Update Linearity in Magneto-Ionic Synapses.

Nano letters Jan 13, 2025
Multifunctional hardware technologies for neuromorphic computing are essential for replicating the complexity of biological neural systems, thereby improving the performance of artificial synapses and neurons. Integrating ionic and spintronic technol...
Synapses Magnetic Fields Neural Networks, Computer Neurons
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Two-Terminal Neuromorphic Devices for Spiking Neural Networks: Neurons, Synapses, and Array Integration.

ACS nano Dec 12, 2024
The ever-increasing volume of complex data poses significant challenges to conventional sequential global processing methods, highlighting their inherent limitations. This computational burden has catalyzed interest in neuromorphic computing, particu...
Synapses Action Potentials Humans Neurons Neural Networks, Computer Biomimetics
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