Nonlinear slow-timescale mechanisms in synaptic plasticity

O'Donnell, Cian

doi:10.1016/j.conb.2023.102778

Cited by 5 publications

(1 citation statement)

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“…The human neural network consists of neurons, which are nerve cells, and synapses, which are junctions between neurons where signals are transmitted from the presynaptic neuron to the postsynaptic neuron across the synapse. The transmission, processing, and storage of information rely on the mechanism of synaptic plasticity [7,53,54], whereby connections between nerves are strengthened or weakened when external stimuli in the form of electrical or chemical pulses are applied. These processes are carried out in a lowpower, high-speed, and highly efficient manner.…”

Section: Fundamental Functionalities Of Neuromorphic Devices Mimickin...mentioning

confidence: 99%

Heterostructure-Based Optoelectronic Neuromorphic Devices

Park,

Shin,

Yoo

2024

Electronics

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The concept of neuromorphic devices, aiming to process large amounts of information in parallel, at low power, high speed, and high efficiency, is to mimic the functions of human brain by emulating biological neural behavior. Optoelectronic neuromorphic devices are particularly suitable for neuromorphic applications with their ability to generate various pulses based on wavelength and to control synaptic stimulation. Each wavelength (ultraviolet, visible, and infrared) has specific advantages and optimal applications. Here, the heterostructure-based optoelectronic neuromorphic devices are explored across the full wavelength range (ultraviolet to infrared) by categorizing them on the basis of irradiated wavelength and structure (two-terminal and three-terminal) with respect to emerging optoelectrical materials. The relationship between neuromorphic applications, light wavelength, and mechanism is revisited. Finally, the potential and challenging aspects of next-generation optoelectronic neuromorphic devices are presented, which can assist in the design of suitable materials and structures for neuromorphic-based applications.

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Section: Fundamental Functionalities Of Neuromorphic Devices Mimickin...mentioning

confidence: 99%