Neuromodulation is the alteration of neuronal and synaptic properties in the context of neuronal circuits. It allows anatomically defined circuits to produce multiple outputs reconfiguring networks into different functional circuits. In this work, neuromodulation is mimicked using a solution of two direct photochromic compounds, a naphthopyran and a spirooxazine, which are models of phasic excitable neurons, sensitive to UV radiation. When the system, constituted by the two photochromic compounds, receives a UV signal, it behaves as a recurrent network with mutual inhibitory actions. The network responds to different UV wavelengths by changing its photo-excitability, synaptic strength, wiring of the circuit, and dynamics. These results contribute to the development of neuromorphic engineering. They will promote the design of artificial neural networks with a larger number of nodes, communicating through optical signals. These networks will be the essential ingredients of the new-generation brain-like computing machines complementing current electronic computers.
A contribution to neuromorphic engineering: neuromodulation implemented through photochromic compounds maintained out of equilibrium by UV–visible radiation
B. Bartolomei;P. L. Gentili
2020
Abstract
Neuromodulation is the alteration of neuronal and synaptic properties in the context of neuronal circuits. It allows anatomically defined circuits to produce multiple outputs reconfiguring networks into different functional circuits. In this work, neuromodulation is mimicked using a solution of two direct photochromic compounds, a naphthopyran and a spirooxazine, which are models of phasic excitable neurons, sensitive to UV radiation. When the system, constituted by the two photochromic compounds, receives a UV signal, it behaves as a recurrent network with mutual inhibitory actions. The network responds to different UV wavelengths by changing its photo-excitability, synaptic strength, wiring of the circuit, and dynamics. These results contribute to the development of neuromorphic engineering. They will promote the design of artificial neural networks with a larger number of nodes, communicating through optical signals. These networks will be the essential ingredients of the new-generation brain-like computing machines complementing current electronic computers.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.