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A contribution to neuromorphic engineering: neuromodulation implemented through photochromic compounds maintained out of equilibrium by UV–visible radiation

  • Statistical thermodynamics and chemical kinetics
  • Published:
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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.

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References

  • Aquilanti V, Borges EP, Coutinho ND, Mudim KC, Carvalho-Silva VH (2018) From statistical thermodynamics to molecular kinetics: the change, the chance and the choice. Rend Fis Acc Lincei 29:787–802

    Article  Google Scholar 

  • Aquilanti V, Coutinho ND, Carvalho-Silva VH (2017) Kinetics of low-temperature transitions and a reaction rate theory from nonequilibrium distributions. Philos Trans Roy Soc A Math Phys Eng Sci 375(2092):20160201

    Article  Google Scholar 

  • Gentili PL (2013) Small steps towards the development of chemical artificial intelligent systems. RSC Adv 3:25523–25549

    Article  CAS  Google Scholar 

  • Gentili PL (2014) The fuzziness of a chromogenic spirooxazine. Dyes Pigments 110:235–248

    Article  CAS  Google Scholar 

  • Gentili PL (2018a) The fuzziness of the molecular world and its perspectives. Molecules 23:2074

    Article  Google Scholar 

  • Gentili PL (2018b) Untangling complex systems: a grand challenge for science. Taylor and Francis Inc. (CRC Press), Boca Raton

    Book  Google Scholar 

  • Gentili PL, Romani A, Becker RS, Favaro G (2005) The photoinduced ring opening reaction of benzo(2H)chromenes: a kinetic and thermodynamic approach. Chem Phys 309:167–175

    Article  CAS  Google Scholar 

  • Gentili PL, Horvath V, Vanag VK, Epstein IR (2012) Belousov-Zhabotinsky “chemical neuron” as a binary and fuzzy logic processor. Int J Unconv Comput 8:177–192

    Google Scholar 

  • Gentili PL, Dolnik M, Epstein IR (2014) “Photochemical oscillator”: colored hydrodynamic oscillations and waves in a photochromic system. J Phys Chem C 118:598–608

    Article  CAS  Google Scholar 

  • Gentili PL, Rightler AL, Heron BM, Gabbutt CD (2016a) Extending human perception of electromagnetic radiation to the UV region through biologically inspired photochromic fuzzy logic (BIPFUL) systems. Chem Commun 52:1474–1477

    Article  CAS  Google Scholar 

  • Gentili PL, Rightler AL, Heron BM, Gabbutt CD (2016b) Discriminating between the UV-A, UV-B and UV-C regions by novel biologically inspired photochromic fuzzy logic (BIPFUL) systems: a detailed comparative study. Dyes Pigments 135:169–176

    Article  CAS  Google Scholar 

  • Gentili PL, Giubila MS, Germani R, Romani A, Nicoziani A, Spalletti A, Heron BM (2017) Optical communication among oscillatory reactions and photo-excitable systems: UV and visible radiation can synchronize artificial neuron models. Angew Chem Int Ed 56:7535–7540

    Article  CAS  Google Scholar 

  • Gentili PL, Giubila MS, Germani R, Heron BM (2018) Photochromic and luminescent compounds as artificial neuron models. Dyes Pigments 156:149–159

    Article  CAS  Google Scholar 

  • Hayashi K, Gotoda H, Gentili PL (2016) Probing and exploiting the chaotic dynamics of a hydrodynamic photochemical oscillator to implement all the basic binary logic functions. Chaos 26:053102

    Article  Google Scholar 

  • Horvath V, Gentili PL, Vanag VK, Epstein IR (2012) Pulse-coupled chemical oscillators with time delay. Angew Chem Int Ed 51:6878–6881

    Article  CAS  Google Scholar 

  • Izhikevich M (2007) Dynamical systems in neuroscience. MIT Press, Cambridge

    Google Scholar 

  • Katz PS, Calin-Jageman RJ (2009) Neuromodulation. In: Squire LR (ed) Encyclopedia of neuroscience. Elsevier Ltd, Netherlands, pp 497–503

    Chapter  Google Scholar 

  • Korn H, Faure P (2003) Is there chaos in the brain? II. Experimental evidence and related models. C. R. Biol 326:787–840

    Article  Google Scholar 

  • Lee Y, Lee T-W (2019) Organic synapses for neuromorphic electronics: from brain-inspired computing to sensorimotor nervetronics. Acc Chem Res 52:964–974

    Article  CAS  Google Scholar 

  • Machado HG, Sanches-Neto FO, Coutinho ND, Mundim KC, Palazzetti F, Carvalho-Silva VH (2019) “Transitivity”: a code for computing kinetic and related parameters in chemical transformations and transport phenomena. Molecules 24(19):3478

    Article  CAS  Google Scholar 

  • Mead C (1990) Neuromorphic electronic systems. Proc IEEE 78:1629–1636

    Article  Google Scholar 

  • Nandakumar SR, Kulkarni SR, Babu AV, Rajendran B (2018) Building brain-inspired computing systems. IEEE Nanotech Mag 12:19–35

    Article  Google Scholar 

  • Nawrocki RA, Voyles RM (2016) A mini review of neuromorphic architectures and implementations. IEEE T Electron Dev 63:3819–3829

    Article  CAS  Google Scholar 

  • Rabinovich MI, Varona P, Selverston AI, Abarbanel HDI (2006) Dynamical principles in neuroscience. Rev Mod Phys 78:1213–1265

    Article  Google Scholar 

  • Ramirez J-M, Tryba AK, Peña F (2004) Pacemaker neurons and neuronal networks: an integrative view. Curr Opin Neurobiol 14:665–674

    Article  CAS  Google Scholar 

  • Rinzel J, Huguet G (2013) Nonlinear dynamics of neuronal excitability, oscillations, and coincidence detection. Commun Pur Appl Math LXVI:1464–1494

    Article  Google Scholar 

  • Russell SJ, Norvig P (2009) Artificial intelligence: a modern approach. Prentice-Hall, New Jersey

    Google Scholar 

  • Yilmaz E, Ozer M, Baysal V, Perc M (2016) Autapse-induced multiple coherence resonance in single neurons and neuronal networks. Sci Rep 6:30914

    Article  CAS  Google Scholar 

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Correspondence to Pier Luigi Gentili.

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This paper belongs to a Topical Collection originated from presentations at the Conference Statistical thermodynamics and chemical kinetics: far away from equilibrium held at the Accademia Nazionale dei Lincei in Rome, 25–26 June 2019. under the auspices of the Foundation Guido Donegani. Program and abstracts at the link https://www.lincei.it/it/manifestazioni/statistical-thermodynamics-and-chemical-manifestazione.

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Bartolomei, B., Heron, B.M. & Gentili, P.L. A contribution to neuromorphic engineering: neuromodulation implemented through photochromic compounds maintained out of equilibrium by UV–visible radiation. Rend. Fis. Acc. Lincei 31, 39–52 (2020). https://doi.org/10.1007/s12210-020-00869-y

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