activity
20072025
most citedSlime mould solves maze in one pass ... assisted by gradient of chemo-attractants

110 citations · 2.3k across the 201 of their papers we have counts for

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Showing 2020Show all

19 papers · 1 filter

cs.NE2020★ 2 cited

Evolving Nano Particle Cancer Treatments with Multiple Particle Types

Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky +1

Evolutionary algorithms have long been used for optimization problems where the appropriate size of solutions is unclear a priori. The applicability of this methodology is here inv…

cs.ET2020

Reactive fungal wearable

Andrew Adamatzky, Anna Nikolaidou, Antoni Gandia +2

Smart wearables sense and process information from the user's body and environment and report results of their analysis as electrical signals. Conventional electronic sensors and c…

cs.ET2020

On resistive spiking of fungi

Andrew Adamatzky, Alessandro Chiolerio, Georgios Sirakoulis

We study long-term electrical resistance dynamics in mycelium and fruit bodies of oyster fungi P. ostreatus. A nearly homogeneous sheet of mycelium on the surface of a growth subst…

q-bio.NC2020

Electrical activity of fungi: Spikes detection and complexity analysis

Mohammad Mahdi Dehshibi, Andrew Adamatzky

Oyster fungi \emph{Pleurotus djamor} generate actin potential like spikes of electrical potential. The trains of spikes might manifest propagation of growing mycelium in a substrat…

cs.ET2020

Fungal sensing skin

Andrew Adamatzky, Antoni Gandia, Alessandro Chiolerio

A fungal skin is a thin flexible sheet of a living homogeneous mycelium made by a filamentous fungus. The skin could be used in future living architectures of adaptive buildings an…

cs.NE2020★ 18 cited

Protein Structured Reservoir computing for Spike-based Pattern Recognition

Karolos-Alexandros Tsakalos, Georgios Ch. Sirakoulis, Andrew Adamatzky +1

Nowadays we witness a miniaturisation trend in the semiconductor industry backed up by groundbreaking discoveries and designs in nanoscale characterisation and fabrication. To faci…