AIMC Topic: Synapses

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Multifunctional Optoelectronic Synapses Based on Arrayed MoS Monolayers Emulating Human Association Memory.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 14, 2023
Optoelectronic synaptic devices integrating light-perception and signal-storage functions hold great potential in neuromorphic computing for visual information processing, as well as complex brain-like learning, memorizing, and reasoning. Herein, the...
Humans Neural Networks, Computer Artificial Intelligence Molybdenum Synapses Visual Perception
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Artificial Neuronal Devices Based on Emerging Materials: Neuronal Dynamics and Applications.

Advanced materials (Deerfield Beach, Fla.) Mar 9, 2023
Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have...
Neural Networks, Computer Brain Neurons Electronics Synapses
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Memristor Neural Network Circuit Based on Operant Conditioning With Immediacy and Satiety.

IEEE transactions on biomedical circuits and systems Feb 14, 2023
Most of the operant conditioning only consider the basic theory, but the influencing factors such as immediacy and satiety are ignored. In this paper, a memristor neural network circuit based on operant conditioning with immediacy and satiety is prop...
Neural Networks, Computer Brain Reward Synapses Conditioning, Operant
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A Co-Designed Neuromorphic Chip With Compact (17.9K F) and Weak Neuron Number-Dependent Neuron/Synapse Modules.

IEEE transactions on biomedical circuits and systems Feb 14, 2023
Many efforts have been made to improve the neuron integration efficiency on neuromorphic chips, such as using emerging memory devices and shrinking CMOS technology nodes. However, in the fully connected (FC) neuromorphic core, increasing the number o...
Neural Networks, Computer Computers Technology Neurons 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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