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Marcin Strzelecki

Bio: Marcin Strzelecki is an academic researcher from Academy of Music in Kraków. The author has contributed to research in topics: Reservoir computing & Sound (geography). The author has an hindex of 2, co-authored 2 publications receiving 5 citations.

Papers
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Journal ArticleDOI
TL;DR: 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.
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.

10 citations

Posted Content
TL;DR: This work presents a simple reservoir computing system implemented on Multisim platform as a tool for classification of musical intervals according to their consonant or dissonant character, and the result closely resembled sensory dissonance curve.
Abstract: Reservoir computing is an emerging, but very successful approach towards processing and classification of various signals. It can be described as a model of a transient computation, where influence of input changes internal dynamics of chosen computational reservoir. Trajectory of these changes represents computation performed by the system. The selection of a suitable computational substrate capable of non-linear response and rich internal dynamics ensures the implementation of simple readout protocols. Signal evolution based on the rich dynamics of the reservoir layer helps to emphasize differences between given signals thus enabling their easier classification. Here we present a simple reservoir computing system (single node echo-state machine) implemented on Multisim platform as a tool for classification of musical intervals according to their consonant or dissonant character. The result of this classification closely resembled sensory dissonance curve, with some significant differences. A deeper analysis of the received signals indicates the geometric relationships between the consonant and dissonant intervals, enabling their classification.

3 citations

Journal ArticleDOI
31 Aug 2022
TL;DR: In this article , the authors proposed a disciplinary procedure for discharging individuals:Disciplinary dis-disciplined individuals, dis-Disciplinary Disciplinary Dis-Disciplining.
Abstract: Disciplinary

Cited by
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DOI
20 Mar 2014
TL;DR: The link between music and emotions is more of an issue than ever before, and music research is increasingly focusing on understanding the complex characteristics of this interaction as mentioned in this paper, and interestingly enough, this is the case among musicians as well.
Abstract: The link between music and emotions is more of an issue than ever before, and music research is increasingly focusing on understanding the complex characteristics of this interaction. After all, for a long time the fact that music has an emotional impact upon us was one of the greatest of enigmas, since fundamentally it only consists of inanimate frequencies. This is a topic something we do not usually think about in everyday life, and that is why an aura of the indescribable still hovers around music. The question as to how and why music can convey feelings seems to have a certain taboo to it ― and interestingly enough, this is the case among musicians as well.

22 citations

Journal ArticleDOI
TL;DR: SNESM could prove to be a useful time series signal processing system designed to improve accuracy in classification tasks and there are more differences in the correlation of complexity parameters between the transformed signal and the input signal, which may explain the improvement in the classification scores.
Abstract: ABSTRACT Nanodevices that show the potential for non-linear transformation of electrical signals and various forms of memory can be successfully used in new computational paradigms, such as neuromorphic or reservoir computing. In this work, we present single-node Echo State Machine (SNESM) RC system based on bridge synapse as a computational substrate (consisting of 4 memristors and a differential amplifier) used for epileptic seizure detection. The results show that the evolution of the signal in a feedback loop helps improve the classification accuracy of the system for that task. The transformation in SNESM changes the correlation and distribution of the complexity parameters of the input signal. In general, there are more differences in the correlation of complexity parameters between the transformed signal and the input signal, which may explain the improvement in the classification scores. SNESM could prove to be a useful time series signal processing system designed to improve accuracy in classification tasks.

9 citations

Journal ArticleDOI
TL;DR: In a comprehensive work with important implications for tuning theory and musicology, Easley Blackwood establishes a mathematical basis for the family of diatonic tunings generated by combinations of perfect fifths and octaves.
Abstract: In a comprehensive work with important implications for tuning theory and musicology, Easley Blackwood, a distinguished-composer, establishes a mathematical basis for the family of diatonic tunings generated by combinations of perfect fifths and octaves.Originally published in 1986.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These paperback editions preserve the original texts of these important books while presenting them in durable paperback editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

7 citations

Journal ArticleDOI
TL;DR: In this article , photochromic and luminescent materials contribute to processing Fuzzy logic, which is a good model of human power to compute by using words, and perspectives on how photoswitchable materials will be employed in further developments of CAI are outlined.

6 citations