AIMC Topic: Synapses

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Dual-channel neural network for instance segmentation of synapse.

Computers in biology and medicine Mar 13, 2024
Detection and segmentation of neural synapses in electron microscopy images are the committed steps for analyzing neural ultrastructure. To date, manual annotation of the structure in synapses has been the primary method, which is time-consuming and ...
Neural Networks, Computer Synapses Automation Image Processing, Computer-Assisted Microscopy
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A Spiking Artificial Vision Architecture Based on Fully Emulating the Human Vision.

Advanced materials (Deerfield Beach, Fla.) Feb 13, 2024
Intelligent vision necessitates the deployment of detectors that are always-on and low-power, mirroring the continuous and uninterrupted responsiveness characteristic of human vision. Nonetheless, contemporary artificial vision systems attain this go...
Humans Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Artificial Intelligence Vision, Ocular Synapses
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Monolithic 2D Perovskites Enabled Artificial Photonic Synapses for Neuromorphic Vision Sensors.

Advanced materials (Deerfield Beach, Fla.) Feb 1, 2024
Neuromorphic visual sensors (NVS) based on photonic synapses hold a significant promise to emulate the human visual system. However, current photonic synapses rely on exquisite engineering of the complex heterogeneous interface to realize learning an...
Photons Calcium Compounds Vision, Ocular Humans Neural Networks, Computer Oxides Titanium Synapses
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Organic iontronic memristors for artificial synapses and bionic neuromorphic computing.

Nanoscale Jan 25, 2024
To tackle the current crisis of Moore's law, a sophisticated strategy entails the development of multistable memristors, bionic artificial synapses, logic circuits and brain-inspired neuromorphic computing. In comparison with conventional electronic ...
Electronics Synapses Bionics Neural Networks, Computer Humans Artificial Intelligence
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Memristor-Based Neuromorphic Chips.

Advanced materials (Deerfield Beach, Fla.) Jan 2, 2024
In the era of information, characterized by an exponential growth in data volume and an escalating level of data abstraction, there has been a substantial focus on brain-like chips, which are known for their robust processing power and energy-efficie...
Synapses Brain Neurons Computers Neural Networks, Computer
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Smart lattice light-sheet microscopy for imaging rare and complex cellular events.

Nature methods Jan 2, 2024
Light-sheet microscopes enable rapid high-resolution imaging of biological specimens; however, biological processes span spatiotemporal scales. Moreover, long-term phenotypes are often instigated by rare or fleeting biological events that are difficu...
Synapses Microscopy Humans Artificial Intelligence Imaging, Three-Dimensional
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A bi-functional three-terminal memristor applicable as an artificial synapse and neuron.

Nanoscale Nov 2, 2023
Due to their significant resemblance to the biological brain, spiking neural networks (SNNs) show promise in handling spatiotemporal information with high time and energy efficiency. Two-terminal memristors have the capability to achieve both synapti...
Neural Networks, Computer Brain Synapses Neuronal Plasticity Neurons
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Iontronic Nanopore Model for Artificial Neurons: The Requisites of Spiking.

The journal of physical chemistry letters Oct 2, 2023
Brain-inspired neuromorphic computing is currently being investigated for effective artificial intelligence (AI) systems. The development of artificial neurons and synapses is imperative to creating efficient computational biomimetic networks. Here w...
Neurons Artificial Intelligence Nanopores Synapses Brain
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Hybrid neuromorphic hardware with sparing 2D synapse and CMOS neuron for character recognition.

Science bulletin Sep 7, 2023
Neuromorphic computing enables efficient processing of data-intensive tasks, but requires numerous artificial synapses and neurons for certain functions, which leads to bulky systems and energy challenges. Achieving functionality with fewer synapses ...
Molybdenum Oxides Semiconductors Neurons Synapses Neural Networks, Computer
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Synchronization in STDP-driven memristive neural networks with time-varying topology.

Journal of biological physics Sep 1, 2023
Synchronization is a widespread phenomenon in the brain. Despite numerous studies, the specific parameter configurations of the synaptic network structure and learning rules needed to achieve robust and enduring synchronization in neurons driven by s...
Neurons Synapses Models, Neurological Brain Neuronal Plasticity Neural Networks, Computer
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