activity
20182022
most citedReservoir computing for sensing: an experimental approach

4 citations · 4 across the 4 of their papers we have counts for

collaborators

7 papers

cs.ET2022

Electrical frequency discrimination by fungi Pleurotus ostreatus

Dawid Przyczyna, Konrad Szacilowski, Alessandro Chiolerio +1

We stimulate mycelian networks of oyster fungi Pleurotus ostreatus with low frequency sinusoidal electrical signals. We demonstrate that the fungal networks can discriminate betwee…

cs.SD2020

Information, communication and music: Recognition of musical dissonance and consonance in a simple reservoir computing system

Dawid Przyczyna, Maria Szaciłowska, Marek Przybylski +2

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…

cs.ET2020

Computing with bricks and mortar: Classification of waveforms with a doped concrete blocks

Dawid Przyczyna, Maciej Suchecki, Andrew Adamatzky +1

We present results showing the capability of concrete-based information processing substrate in the signal classification task in accordance with in materio computing paradigm. As…

cs.ET2020

In-materio neuromimetic devices: Dynamics, information processing and pattern recognition

Dawid Przyczyna, Piotr Zawal, Tomasz Mazur +2

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 w…

cs.ET20204 cited

Reservoir computing for sensing: an experimental approach

Dawid Przyczyna, Sébastien Pecqueur, Dominique Vuillaume +1

The increasing popularity of machine learning solutions puts increasing restrictions on this field if it is to penetrate more aspects of life. In particular, energy efficiency and…

nlin.AO2019

Towards synthetic neural networks: Can artificial electrochemical neurons be coupled with artificial memristive synapses?

Ewelina Wlaźlak, Dawid Przyczyna, Rafael Gutierrez +2

The enormous amount of data generated nowadays worldwide is increasingly triggering the search for unconventional and more efficient ways of processing and classifying information,…