Serge Thill

Senior Lecturer in Cognitive Science, Interaction Lab (formerly COIN)

Research Projects

Teaching in 2011-2012

Brief CV

Some peer-reviewed publications

In Journals

Thill S, Svensson H and Ziemke T (2011) Modeling the development of goal specificity in mirror neurons. Cognitive Computation 3(4), pp 525-538 doi:10.1007/s12559-011-9108-1

Pellicano A, Thill S, Ziemke T and Binkofski F (2011). Affordances, adaptive tool use and grounded cognition. Frontiers in Psychology 2:53. doi: 10.3389/fpsyg.2011.00053

Hemeren PE and Thill S (2011) Deriving motor primitives through action segmentation. Frontiers in Psychology 1:243, doi:10.3389/fpsyg.2010.00243.

Chersi F, Thill S, Ziemke T and Borghi, AM (2010) Sentence processing: linking language to motor chains. Frontiers in Neurorobotics 4(4), doi:10.3389/fnbot.2010.00004.

Thill S and Pearce TC (2007) Understanding complex behaviors by analyzing optimized models: C. elegans gradient navigation. HFSP Journal 1(4), pp 263-273.

In Conference Proceedings

Thill S and Svensson H (2011) The inception of simulation: a hypothesis for the role of dreams in young children. In: Carlson L et al (eds.) Proceedings of the 33rd Annual Conference of the Cognitive Science Society, pp 231-236. Austin, TX: Cognitive Science Society

Thill S (2011) Considerations for a neuroscience-inspired approach to the design of artificial intelligent systems. In: Schmidhuber J et al (eds.) Proceedings of the Fourth Conference on Artificial General Intelligence, LNAI 6830, pp 247-254. Heidelberg: Springer. 

Thill S, Hemeren PE and Durán B (2011) Prediction of human action segmentation based on end-effector kinematics using linear models. In: Kokinov B et al (eds.): European Perspectives on Cognitive Science: Proceedings of the European Conference on Cognitive Science. Sofia: NBU Press

Thill S and Lowe R (2010) A computational model of cognitive interference without neural inhibitory dynamics. In: Taatgen, N A & van Rijn, H (eds.) Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp 1607-1612. Austin TX: Cognitive Science Society

Thill S and Ziemke T (2010) Learning new motion primitives in the mirror neuron system: A self-organising computational model. In: Doncieux S et al. (eds.) Proceedings of SAB 2010, LNAI 6226, pp 413-423. Heidelberg: Springer.

Theses

Thill S (2008) A computational analysis of the gradient navigation strategies of the nematode Caenorhabditis elegans. PhD Thesis. University of Leicester, UK.

Thill S (2002) One shot sequence learning in a recurrent neural network with dynamic synapses. MSc Thesis. University of Edinburgh, UK.