AIMC Topic: Synapses

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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...
Neural Networks, Computer Computers Brain Neurons Synapses
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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...
Humans Artificial Intelligence Imaging, Three-Dimensional Microscopy Synapses
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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 Neuronal Plasticity Neurons Synapses
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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...
Artificial Intelligence Brain Neurons Synapses Nanopores
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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 ...
Neural Networks, Computer Oxides Neurons Molybdenum Semiconductors Synapses
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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...
Neural Networks, Computer Brain Neuronal Plasticity Models, Neurological Neurons Synapses
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Enhanced Multiwavelength Response of Flexible Synaptic Transistors for Human Sunburned Skin Simulation and Neuromorphic Computation.

Advanced materials (Deerfield Beach, Fla.) Aug 22, 2023
In biological species, optogenetics and bioimaging work together to regulate the function of neurons. Similarly, the light-controlled artificial synaptic system not only enhances computational speed but also simulates complex synaptic functions. Howe...
Humans Neural Networks, Computer Artificial Intelligence Computer Simulation Oxides Synapses
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Reconfigurable neuromorphic computing block through integration of flash synapse arrays and super-steep neurons.

Science advances Jul 19, 2023
Neuromorphic computing (NC) architecture inspired by biological nervous systems has been actively studied to overcome the limitations of conventional von Neumann architectures. In this work, we propose a reconfigurable NC block using a flash-type syn...
Neural Networks, Computer Neurons Synapses
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Adaptive Memory of a Neuromorphic Transistor with Multi-Sensory Signal Fusion.

ACS applied materials & interfaces Jul 17, 2023
One of the ultimate goals of artificial intelligence is to achieve the capability of memory evolution and adaptability to changing environments, which is termed adaptive memory. To realize adaptive memory in artificial neuromorphic devices, artificia...
Neural Networks, Computer Artificial Intelligence Brain Animals Dogs Synapses
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Physically defined long-term and short-term synapses for the development of reconfigurable analog-type operators capable of performing health care tasks.

Science advances Jul 5, 2023
Extracting valuable information from the overflowing data is a critical yet challenging task. Dealing with high volumes of biometric data, which are often unstructured, nonstatic, and ambiguous, requires extensive computer resources and data speciali...
Neural Networks, Computer Synapses
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