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Synaptic plasticity, metaplasticity and memory effects in hybrid organic-inorganic bismuth-based materials

Abstract

Since the discovery of the memristor, its application in computing systems utilizing multivalued logic and neuromimetic approach is of a great interest. A thin film device made of methylammonium bismuth iodide exhibits various neuromorphic effects, thus being able to mimic synaptic behaviour and learning phenomena. Standard learning protocols, such as spike-timing dependent plasticity and spike-rate dependent plasticity might be further modulated via metaplasticity in order to amplify or alter changes in synaptic weight. Moreover, transfer in information from short-term to long-term memory is observed. These effects show that diversity of functions of memristive device can be strongly affected by the pre-treatment of the sample. Modulation of resistive switching amplitude is of great importance for application of memristive elements in computational applications, as additional sub-states might be utilized in multi-valued logic systems and metaplasticity and memory consolidation will contribute to the development of more efficient bioinspired computational schemes.

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Publication details

The article was accepted on 07 Dec 2018 and first published on 07 Dec 2018


Article type: Paper
DOI: 10.1039/C8NR09413F
Citation: Nanoscale, 2018, Accepted Manuscript
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    Synaptic plasticity, metaplasticity and memory effects in hybrid organic-inorganic bismuth-based materials

    T. Mazur, P. Zawal and K. Szacilowski, Nanoscale, 2018, Accepted Manuscript , DOI: 10.1039/C8NR09413F

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