Recent publications In 'Centre for Computational Neuroscience and Cognitive Robotics (CNCR)' CNCRPeopleProjectsFundingFacilitiesCNCR Masters CourseContactRecent publications Osiurak, F., & Heinke, D. (2018) Looking for Intoolligence: A unified framework for the cognitive study of human tool use and technology. American Psychologist, 73(2), 169-185. http://dx.doi.org/10.1037/amp0000162. Vatakis, A., Correa, A., Di Luca, M., Balci, F. (2018). Timing and time perception: procedures, measures, and applications. Brill Xu, S., & Heinke, D. (2017) Implied between-object actions affect response selection without knowledge about object functionality. Visual Cognition, 1-3, 152-168. http://dx.doi.org/10.1080/13506285.2017.1330792. Mohan Sridharan and Ben Meadows. Learning Affordances for Social Robots. In the International Conference on Social Robotics (ICSR), Tsukuba, Japan, November 22-24, 2017. Lars Kunze, Mohan Sridharan, Christos Dimitrakakis and Jeremy Wyatt. Adaptive Sampling-based View Planning under Time Constraints. In the IEEE European Conference on Mobile Robotics (ECMR), Paris, France, September 6-8, 2017. Mohan Sridharan and Ben Meadows. A Combined Architecture for Discovering Affordances, Causal Laws, and Executability Conditions. In the International Conference on Advances in Cognitive Systems (ACS), Troy, USA, May 12-14, 2017.Mohan Sridharan, Ben Meadows and Rocio Gomez. What can I not do? Towards an Architecture for Reasoning about and Learning Affordances. In the International Conference on Automated Planning and Scheduling (ICAPS), Pittsburgh, USA, June 18-23, 2017. Narbutas, V., Lin, Y.-S., Kristan, M., & Heinke, D. (2017) Serial versus parallel search: A model comparison approach based on reaction time distributions. Visual Cognition , 1-3, 306-325. https://doi.org/10.1080/13506285.2017.1352055. Xu, S., Humphreys, G. W., Mevorach, C., & Heinke, D. (2017) The involvement of the dorsal stream in processing implied actions between object pairs: a TMS study. Neuropsychologia, 95, 240-249. Chen X, Mohr K, Galea JM (2017).Predicting explorative motor learning using decision-making and motor noise. PLoS Comput Biol. 2017 Apr 24;13(4):e1005503. doi: 10.1371/journal.pcbi.1005503. Di Luca, M., and Rhodes, D. (2016). Optimal Perceived Timing: Integrating Sensory Information with Dynamically Updated Expectations. Scientific Reports,6, 28563 Sun, H.C., Welchman, A.E., Chang, D.H.F., Di Luca, M. (2016). Look but don’t touch: visual cues to surface structure drive somatosensory cortex, NeuroImage, 128: 353–361 Fard, F. S., Hollensen, P., Heinke, D.,& Trappenberg, T. P. (2015) Modeling human target reaching with an adaptive observer implemented with dynamic neural fields. Neural Networks, 72, 13-30. http://dx.doi.org/10.1016/j.neunet.2015.10.003 . Strauss, S., Woodgate, P.J.W., Sami, S. A., & Heinke, D. (2015) Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks, 72, 3-12. http://dx.doi.org/10.1016/j.neunet.2015.10.005 Woodgate, P.J.W., Strauss, S., Sami, S. A., & Heinke, D. (2015) Motor cortex guides selection of predictable movement targets. Behavioural Brain Research, 287, 238-246. Xu, S., Humphreys, G. W., & Heinke, D. (2015) Implied actions between paired objects lead to affordance selection by inhibition. Journal of Experimental Psychology: Human Perception and Performance, 41(4), 1021-1036. http://dx.doi.org/10.1037/xhp0000059 Lin, Y.-S., Heinke, D. & Humphreys, G. W. (2015) Modeling visual search using three-parameter probability functions in a hierarchical Bayesian framework. Attention, Perception, & Psychophysics, 77(3), 985-1010.