The paper is a result of a student project conducted in the master course of Evolutionary AI and Robotics, in the Applied Computer and Information Technology programme (ACIT). This master course is led by Professor Stefano Nichele.
This year's IEEE Symposium Series on Computational Intelligence (IEEE SSCI) was held on the 5th to the 7th of December.
The paper titled “Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity” (arxiv.org) was presented and published as a conference paper in the International Conference on Evolvable Systems (ICES).
Read this article for more information on the paper.
During the symposium the paper was awarded the “IEEE Brain Best Paper Award Runner Up”. The papers were judged after these criteria set by the IEEE Brain Steering committee:
- Focus on neurotechnology or neuroscience (application or fundamental research)
- Originality will be understood as the extent to which the output introduces a new way of thinking about a subject, or is distinctive or transformative compared with previous work in an academic field.
- Significance will be understood as the extent to which the work has exerted, or is likely to exert, an influence on an academic field or practical applications.
- Rigour will be understood as the extent to which the purpose of the work is clearly articulated, an appropriate methodology for the research area has been adopted, and compelling evidence presented to show that the purpose has been achieved