The Physarum polycephalum actin network: Formalisation, topology and morphological correlates with computational ability (2014)
Presentation / Conference
Mayne, R., & Adamatzky, A. (2014, December). The Physarum polycephalum actin network: Formalisation, topology and morphological correlates with computational ability. Presented at BICT 2014, Boston, USA

The plasmodial form of slime mould Physarum polycephalum is a macroscopic acellular organism that is capable of apparently intelligent behaviour, yet it lacks any features usually associated with intelligence. In this investigation, we study the morp... Read More about The Physarum polycephalum actin network: Formalisation, topology and morphological correlates with computational ability.

Material-based non-neural analogues of lateral inhibition: A multi-agent approach (2014)
Presentation / Conference
Jones, J. (2014, September). Material-based non-neural analogues of lateral inhibition: A multi-agent approach. Paper presented at Adaptive Materials, Devices and Systems Towards Unconventional Computing and Robotics: Modeling and Implementation, Rhodes, Greece

Lateral Inhibition (LI) phenomena occur in a wide range of sensory modalities and are most famously described in the human visual system. In LI the activity of a stimulated neuron is itself excited and suppresses the activity of its local neighbours... Read More about Material-based non-neural analogues of lateral inhibition: A multi-agent approach.

Exploiting environmental computation in a multi-agent model of slime mould (2014)
Presentation / Conference
Jones, J. (2014, September). Exploiting environmental computation in a multi-agent model of slime mould. Presented at ABBII International Symposium on Artificial, Biological and Bio-Inspired Intelligence, Rhodes, Greece

Very simple organisms, such as the single-celled amoeboid slime mould Physarumpolycephalum possess no neural tissue yet, despite this, are known to exhibit complex biological and computational behaviour. Given such limited resources, can environmenta... Read More about Exploiting environmental computation in a multi-agent model of slime mould.