Theoretical simulations of environment-sensitive dynamical systems for advanced reservoir computing applications
Licentiate thesis, 2018

The possibility of building intelligent sensing substrates that both collect information about an environment and analyze it in real-time has been investigated theoretically. In a typical setup, a dynamical system is assumed to interact with the environment over time. The system operates as a reservoir computer acting as a reservoir of states. Due to the reservoir-environment interaction, the information about the environment is encoded in the state of the reservoir. The information stored in the system can be inferred (decoded) by analyzing the reservoir state, which is done by observing how a system responds to an external stimulus being an external drive signal. This signal is optimized to ensure that under different environmental conditions the reservoir visits distinct regions of the configuration space. If such a behavior is possible, then a relatively simple readout layer can be used to achieve efficient sensing. These ideas have been examined theoretically by simulating various networks of environment-sensitive elements: the memristor, the capacitor, the constant phase element, and the organic field effect transistor element. It was found that heterogeneity of the network is important for sensing. The simulations were done in the context of ion sensing, which is an extremely complex, many-body, and multi-scale modeling problem. A generic electrical circuit simulator has been developed with a focus on understanding transient dynamics. The constant phase element has been identified as an important primitive that is essential for modeling the experimental data. A new algorithm has been develop to model its transient behavior. Likewise, the same was done for the organic electrochemical transistor. To quantify the sensing capacity of an environment sensitive network a precise mathematical measure has been introduced, the state separability index, and evaluated in numerical experiments. The theoretical work has been supported by the related set of experiments.

environment-sensitive memristor

organic electrochemical transistor


constant phase element

neuromorphic computations

memristor networks


Kollektorn, lecture room, MC2-huset, MC2
Opponent: Georgios Sirakoulis, Democritus University of Thrace, Greece


Vasileios Athanasiou

Chalmers, Microtechnology and Nanoscience (MC2), Electronics Material and Systems

On the efficient simulation of electrical circuits with constant phase elements: The Warburg element as a test case

International Journal of Circuit Theory and Applications,; Vol. 46(2018)p. 1072-1090

Journal article

On using reservoir computing for sensing applications: exploring environment-sensitive memristor networks

International Journal of Parallel, Emergent and Distributed Systems,; Vol. 33(2018)p. 367-386

Journal article

V. Athanasiou, Z. Konkoli, On the use of collaborative interactions for embedded sensing applications. Memristor networks as intelligent sensing substrates

V. Athanasiou, S. Pecqeuer, D. Vuillaume, and Z. Konkoli, On a generic theory of the Organic Electrochemical Transistor dynamics

Areas of Advance

Information and Communication Technology

Nanoscience and Nanotechnology (SO 2010-2017, EI 2018-)

Driving Forces

Sustainable development

Innovation and entrepreneurship

Subject Categories

Computer Science

Computer Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering



Kollektorn, lecture room, MC2-huset, MC2

Opponent: Georgios Sirakoulis, Democritus University of Thrace, Greece

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