AIMC Topic: Synapses

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NRN-EZ: an application to streamline biophysical modeling of synaptic integration using NEURON.

Scientific reports Jan 10, 2023
One of the fundamental goals in neuroscience is to determine how the brain processes information and ultimately controls the execution of complex behaviors. Over the past four decades, there has been a steady growth in our knowledge of the morphologi...
Neural Networks, Computer Models, Neurological Neurons Synapses Time Ion Channels
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Asynchronous Spiking Neural P Systems With Rules Working in the Rule Synchronization Mode.

IEEE transactions on nanobioscience Dec 29, 2022
Asynchronous spiking neural P systems with rules on synapses (ARSSN P systems) are a class of computation models, where spiking rules are placed on synapses. In this work, we investigate the computation power of ARSSN P systems working in the rule sy...
Neural Networks, Computer Computer Simulation Models, Neurological Action Potentials Neurons Synapses
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Sparse RNNs can support high-capacity classification.

PLoS computational biology Dec 14, 2022
Feedforward network models performing classification tasks rely on highly convergent output units that collect the information passed on by preceding layers. Although convergent output-unit like neurons may exist in some biological neural circuits, n...
Neural Networks, Computer Learning Neurons Synapses
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Quasi-Volatile MoS Barristor Memory for 1T Compact Neuron by Correlative Charges Trapping and Schottky Barrier Modulation.

ACS applied materials & interfaces Dec 13, 2022
Artificial neurons as the basic units of spiking neural network (SNN) have attracted increasing interest in energy-efficient neuromorphic computing. 2D transition metal dichalcogenide (TMD)-based devices have great potential for high-performance and ...
Neural Networks, Computer Neurons Molybdenum Synapses
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Flexible Optical Synapses Based on InSe/MoS Heterojunctions for Artificial Vision Systems in the Near-Infrared Range.

ACS applied materials & interfaces Dec 13, 2022
Near-infrared (NIR) synaptic devices integrate NIR optical sensitivity and synaptic plasticity, emulating the basic biomimetic function of the human visual system and showing great potential in NIR artificial vision systems. However, the lack of semi...
Humans Artificial Intelligence Learning Molybdenum Biomimetics Synapses
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The curse of the protein ribbon diagram.

PLoS biology Dec 12, 2022
Does reductionism, in the era of machine learning and now interpretable AI, facilitate or hinder scientific insight? The protein ribbon diagram, as a means of visual reductionism, is a case in point.
Machine Learning Synapses
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Deep learning-based synapse counting and synaptic ultrastructure analysis of electron microscopy images.

Journal of neuroscience methods Nov 19, 2022
BACKGROUND: Synapses are the connections between neurons in the central nervous system (CNS) or between neurons and other excitable cells in the peripheral nervous system (PNS), where electrical or chemical signals rapidly travel through one cell to ...
Deep Learning Neurons Synapses Microscopy, Electron Synaptic Vesicles
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Forgetting memristor based STDP learning circuit for neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 19, 2022
The circuit implementation of STDP based on memristor is of great significance for the application of neural network. However, recent research shows that the research on the pure circuit implementation of forgetting memristor and STDP is still rare. ...
Neural Networks, Computer Learning Neuronal Plasticity Memory, Short-Term Synapses
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Compact artificial neuron based on anti-ferroelectric transistor.

Nature communications Nov 17, 2022
Neuromorphic machines are intriguing for building energy-efficient intelligent systems, where spiking neurons are pivotal components. Recently, memristive neurons with promising bio-plausibility have been developed, but with limited reliability, bulk...
Neural Networks, Computer Computers Reproducibility of Results Neurons Synapses
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An Electrochemical-Electret Coupled Organic Synapse with Single-Polarity Driven Reversible Facilitation-to-Depression Switching.

Advanced materials (Deerfield Beach, Fla.) Nov 2, 2022
Neuromorphic engineering and artificial intelligence demands hardware elements that emulates synapse algorithms. During the last decade electrolyte-gated organic conjugated materials have been explored as a platform for artificial synapses for neurom...
Neural Networks, Computer Artificial Intelligence Reproducibility of Results Depression Synapses
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