AIMC Topic: Synapses

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Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Current vision-inspired spiking neural networks (SNNs) face key challenges due to their model structures typically focusing on single mechanisms and neglecting the integration of multiple biological features. These limitations, coupled with limited s...
Visual Perception Pattern Recognition, Visual Neuronal Plasticity Models, Neurological Action Potentials Humans Neural Networks, Computer Learning Retina Neurons Synapses
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Self-Lateral Propagation Elevates Synaptic Modifications in Spiking Neural Networks for the Efficient Spatial and Temporal Classification.

IEEE transactions on neural networks and learning systems Oct 29, 2024
The brain's mystery for efficient and intelligent computation hides in the neuronal encoding, functional circuits, and plasticity principles in natural neural networks. However, many plasticity principles have not been fully incorporated into artific...
Humans Neural Networks, Computer Algorithms Neurons Synapses Nerve Net Neuronal Plasticity Models, Neurological Action Potentials
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A Self-Driven GaO Memristor Synapse for Humanoid Robot Learning.

Small methods Sep 30, 2024
In recent years, the rapid development of brain-inspired neuromorphic systems has created an imperative demand for artificial photonic synapses that operate with low power consumption. In this study, a self-driven memristor synapse based on gallium o...
Gallium Synapses Nanowires Humans Artificial Intelligence Learning Robotics
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Deep brain stimulation and lag synchronization in a memristive two-neuron network.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
In the pursuit of potential treatments for neurological disorders and the alleviation of patient suffering, deep brain stimulation (DBS) has been utilized to intervene or investigate pathological neural activities. To explore the exact mechanism of h...
Synapses Deep Brain Stimulation Nonlinear Dynamics Computer Simulation Neuronal Plasticity Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer
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A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
Distributed neuromorphic architecture is a promising technique for on-chip processing of multiple tasks. Deploying the constructed model in a distributed neuromorphic system, however, remains time-consuming and challenging due to considerations such ...
Humans Neural Networks, Computer Computer Simulation Models, Neurological Action Potentials Artificial Intelligence Databases, Factual Brain Neurons Synapses
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Neuromorphic learning and recognition in WOthin film-based forming-free flexible electronic synapses.

Nanotechnology Aug 23, 2024
In pursuing advanced neuromorphic applications, this study introduces the successful engineering of a flexible electronic synapse based on WO, structured as W/WO/Pt/Muscovite-Mica. This artificial synapse is designed to emulate crucial learning behav...
Neural Networks, Computer Learning Synapses Tungsten Neuronal Plasticity Electrical Synapses Oxides Titanium
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Signatures of Bayesian inference emerge from energy-efficient synapses.

eLife Aug 6, 2024
Biological synaptic transmission is unreliable, and this unreliability likely degrades neural circuit performance. While there are biophysical mechanisms that can increase reliability, for instance by increasing vesicle release probability, these mec...
Energy Metabolism Synapses Synaptic Transmission Models, Neurological Bayes Theorem Neurons Neural Networks, Computer Animals
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Hydrogel-Based Artificial Synapses for Sustainable Neuromorphic Electronics.

Advanced materials (Deerfield Beach, Fla.) Aug 1, 2024
Hydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties. Hydrogels can be chemically functionalized or reinforced to respond to physical or chemical stimul...
Humans Synapses Transistors, Electronic Neural Networks, Computer Electronics Animals Hydrogels Neurons Biocompatible Materials
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Toward human-like adaptability in robotics through a retention-engineered synaptic control system.

Science advances Jun 26, 2024
Although advanced robots can adeptly mimic human movement and aesthetics, they are still unable to adapt or evolve in response to external experiences. To address this limitation, we propose an innovative approach that uses parallel-processable reten...
Biomimetics Humans Synapses Robotics
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Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation.

Journal of neural engineering Jun 20, 2024
. This study introduces a novel approach for integrating the post-inhibitory rebound excitation (PIRE) phenomenon into a neuronal circuit. Excitatory and inhibitory synapses are designed to establish a connection between two hardware neurons, effecti...
Neural Networks, Computer Neural Inhibition Models, Neurological Humans Synapses Action Potentials Nerve Net Neurons Computer Simulation
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