Litcius/Paper detail

<i>In-materio</i>neuromimetic devices: dynamics, information processing and pattern recognition

Dawid Przyczyna, Piotr Zawal, Tomasz Mazur, Marcin Strzelecki, Pier Luigi Gentili, Konrad Szaciłowski

2020Japanese Journal of Applied Physics24 citationsDOIOpen Access PDF

Abstract

The story of information processing is a story of great success. Todays' microprocessors are devices of unprecedented complexity and MOSFET transistors are considered as the most widely produced artifact in the history of mankind. The current miniaturization of electronic circuits is pushed almost to the physical limit and begins to suffer from various parasitic effects. These facts stimulate intense research on neuromimetic devices. This feature article is devoted to various in materio implementation of neuromimetic processes, including neuronal dynamics, synaptic plasticity, and higher-level signal and information processing, along with more sophisticated implementations, including signal processing, speech recognition and data security. Due to vast number of papers in the field, only a subjective selection of topics is presented in this review.

Topics & Concepts

Computer scienceMiniaturizationSignal processingInformation processingArtifact (error)ImplementationElectronic circuitSIGNAL (programming language)Field (mathematics)Human–computer interactionData scienceArtificial intelligenceComputer architectureElectrical engineeringNeuroscienceComputer hardwareDigital signal processingEngineeringPsychologySoftware engineeringMathematicsProgramming languagePure mathematicsAdvanced Memory and Neural ComputingNeural dynamics and brain functionNeuroscience and Neural Engineering