AIMC Topic: Synapses

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Memristors based on 2D MoSe nanosheets as artificial synapses and nociceptors for neuromorphic computing.

Nanoscale Jun 15, 2023
Neuromorphic computing inspired by the human brain is highly desirable in the artificial intelligence age. Thus, it is essential to comprehensively investigate the neuromorphic characteristics of artificial synapses and neurons which are the unit cel...
Humans Synapses Nociceptors Brain Artificial Intelligence
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A memristor fingerprinting and characterisation methodology for hardware security.

Scientific reports Jun 9, 2023
The modern IC supply chain encompasses a large number of steps and manufacturers. In many applications it is critically important that chips are of the right quality and are assured to have been obtained from the legitimate supply chain. To this end,...
Computers Technology Neural Networks, Computer Food, Formulated Synapses
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Highly Bionic Neurotransmitter-Communicated Neurons Following Integrate-and-Fire Dynamics.

Nano letters Jun 5, 2023
In biological neural networks, chemical communication follows the reversible integrate-and-fire (I&F) dynamics model, enabling efficient, anti-interference signal transport. However, existing artificial neurons fail to follow the I&F model in chemica...
Neurotransmitter Agents Bionics Models, Neurological Artificial Intelligence Synapses Neurons Humans
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A 5.3 pJ/Spike CMOS Neural Array Employing Time-Modulated Axon-Sharing and Background Mismatch Calibration Techniques.

IEEE transactions on biomedical circuits and systems May 10, 2023
Inspired by the human brain, spiking neuron networks are promising to realize energy-efficient and low-latency neuromorphic computing. However, even state-of-the-art silicon neurons are orders of magnitude worse than biological neurons in terms of ar...
Axons Synapses Neurons Calibration Neural Networks, Computer Humans
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Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons.

Neural networks : the official journal of the International Neural Network Society Apr 26, 2023
Biohybrid circuits of interacting living and model neurons are an advantageous means to study neural dynamics and to assess the role of specific neuron and network properties in the nervous system. Hybrid networks are also a necessary step to build e...
Brain Neurons Models, Neurological Artificial Intelligence Synapses
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Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 18, 2023
In the era of big data and artificial intelligence (AI), advanced data storage and processing technologies are in urgent demand. The innovative neuromorphic algorithm and hardware based on memristor devices hold a promise to break the von Neumann bot...
Perception Synapses Humans Artificial Intelligence
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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...
Visual Perception Molybdenum Synapses Artificial Intelligence Neural Networks, Computer Humans
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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...
Synapses Electronics Brain Neurons Neural Networks, Computer
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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...
Synapses Conditioning, Operant Reward Brain Neural Networks, Computer
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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...
Technology Neurons Computers Synapses Neural Networks, Computer
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