AIMC Topic: Synaptic Transmission

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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...
Rats Fluorescent Dyes Microscopy, Fluorescence Exocytosis Neurons Synaptic Transmission Humans Animals Deep Learning Image Processing, Computer-Assisted
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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...
Mice Neuronal Plasticity Mice, Inbred C57BL Animals Male Prefrontal Cortex Animals, Newborn Behavior, Animal Synaptic Transmission Social Behavior Microglia Ketamine Synapses 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...
Animals Deep Learning Neurons Synapses Synaptic Transmission
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Tipping prediction of a class of large-scale radial-ring neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 16, 2024
Understanding the emergence and evolution of collective dynamics in large-scale neural networks remains a complex challenge. This paper seeks to address this gap by applying dynamical systems theory, with a particular focus on tipping mechanisms. Fir...
Synaptic Transmission Neural Networks, Computer Algorithms Feedback
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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...
Energy Metabolism Synapses Synaptic Transmission Models, Neurological Bayes Theorem Neurons Neural Networks, Computer Animals
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A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents.

PloS one Sep 19, 2022
Spontaneous synaptic activity is a hallmark of biological neural networks. A thorough description of these synaptic signals is essential for understanding neurotransmitter release and the generation of a postsynaptic response. However, the complexity...
Animals Mice Humans Synaptic Transmission Machine Learning Algorithms Excitatory Postsynaptic Potentials Neurotransmitter Agents
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Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution.

IEEE transactions on neural networks and learning systems Aug 3, 2021
Studies of structural connectivity at the synaptic level show that in synaptic connections of the cerebral cortex, the excitatory postsynaptic potential (EPSP) in most synapses exhibits sub-mV values, while a small number of synapses exhibit large EP...
Neural Networks, Computer Algorithms Entropy Models, Neurological Synaptic Transmission Humans Cerebral Cortex Excitatory Postsynaptic Potentials Nerve Net Nonlinear Dynamics Synapses
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Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures.

PLoS computational biology Jul 12, 2021
The directionality of network information flow dictates how networks process information. A central component of information processing in both biological and artificial neural networks is their ability to perform synergistic integration-a type of co...
Neural Networks, Computer Animals Mice Action Potentials Neurons Computational Biology Models, Neurological Feedback, Physiological Organ Culture Techniques Somatosensory Cortex Nerve Net Synaptic Transmission
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Controllable high-performance memristors based on 2D FeGeTeoxide for biological synapse imitation.

Nanotechnology May 19, 2021
Memristors are an important component of the next-generation artificial neural network, high computing systems, etc. In the past, two-dimensional materials based memristors have achieved a high performance and low power consumption, though one at the...
Humans Oxides Iron Copper Synaptic Transmission Neural Networks, Computer Electronics Animals Tellurium Electric Conductivity Synapses Oxidation-Reduction Biomimetic Materials Germanium
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Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.

PLoS computational biology Feb 10, 2021
The dynamics of cerebellar neuronal networks is controlled by the underlying building blocks of neurons and synapses between them. For which, the computation of Purkinje cells (PCs), the only output cells of the cerebellar cortex, is implemented thro...
Excitatory Postsynaptic Potentials Cerebellar Cortex Synaptic Transmission Interneurons Models, Neurological Purkinje Cells Animals Neural Pathways Cerebellum Humans Signal Transduction Action Potentials Normal Distribution Synapses Neural Networks, Computer Neuronal Plasticity Neurons Computer Simulation
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