Dr Dietmar Heinke PhD

Dr Dietmar Heinke

School of Psychology
Associate Professor
MSc CNCR Programme Lead

Contact details

Address
School of Psychology
University Âé¶¹¾«Ñ¡
Edgbaston
Birmingham
B15 2TT
UK

Dr. Dietmar Heinke teaches statistics at the School of Psychology. His research focuses on interdisciplinary brain research integrating experimental work in psychology with theoretical/computational modeling work. for more information see his .

He also is a member of the Centre for Computational Neuroscience and Cognitive Robotics (CNCR).

Biography

Before joining the School of Psychology Dietmar Heinke completed an MSc in electrical engineering (Technical University of Darmstadt, Germany) and a PhD in Neuroinformatics (Technical University of Ilmenau, Germany).

Postgraduate supervision

Dietmar is always looking for Intern students, Masters students, PhD students and Postdocs and is also interested in collaborations with industrial partners to adapt his computational models for technical solutions, e.g. image processing, automation, robotics, etc.

Research

Formal modeling (mathematical models, connectionist approaches and agent-based models) and experimental research in the area of visual attention, visual affordances and social interactions.

Publications

Highlight publications

Heinke, D, Wachman, P, van Zoest, W & Leek, EC 2021, '', Vision Research, vol. 189, pp. 81-92.

Deakin, JT, Porat, L, van Zoest, W & Heinke, D 2021, . in Reference Module in Neuroscience and Biobehavioral Psychology. vol. 1-3, Elsevier, pp. 197-203.

Abu-Akel, A, Allison, C, Baron-Cohen, S & Heinke, D 2019, '', Molecular Autism, vol. 10, no. 1, 24 .

Standage, D, Areshenkoff, C, Nashed, J, Hutchison, M, Hutchison, M, Heinke, D, Menon, R, Everling, S & Gallivan, J 2020, '', Cerebral Cortex, vol. 30, no. 10, pp. 5229-5241.

Abadi, A, Yahya, K, Amini, M, Friston, KJ & Heinke, D 2019, '', Journal of The Royal Society Interface, vol. 16, no. 154, 20180344.

Recent publications

Article

Deakin, J, Schofield, A & Heinke, D 2024, '', Entropy, vol. 26, no. 8, 642.

Makwana, M, Zhang, F, Heinke, D & Song, J-H 2023, '', PLoS Computational Biology, vol. 19, no. 7, e1011283.

Robinson, J, George, D & Heinke, D 2019, '', Journal of Experimental Psychology: Animal Learning and Cognition, vol. 45, no. 3, pp. 356-371.

Osiurak, F & Heinke, D 2018, '', American Psychologist, vol. 73, no. 2, pp. 169-185.

Orghian, D, Smith, A, Garcia-Marquesa, L & Heinke, D 2017, '', Journal of Experimental Social Psychology.

Xu, S & Heinke, D 2017, '', Visual Cognition, vol. 25, no. 1-3, pp. 152-168.

Narbutas, V, Lin, Y, Kristan, M & Heinke, D 2017, '', Visual Cognition, vol. 25, no. 1-3, pp. 306-325.

Xu, S, Humphreys, GW, Mevorach, C & Heinke, D 2017, '', Neuropsychologia, vol. 95, no. 27, pp. 240-249.

Orghian, D, Garcia-Marquesa, L, Uleman, J & Heinke, D 2015, '', Social Cognition, vol. 33, no. 1, pp. 20-66.

Orghian, D, Garcia-Marques, L, Uleman, JS & Heinke, D 2015, '', Social Cognition.

Strauss, S, Woodgate, P, Sami, S & Heinke, D 2015, '', Neural Networks, vol. 72, pp. 3–12.

Xu, S, Humphreys, G & Heinke, D 2015, '', Journal of Experimental Psychology: Human Perception and Performance, vol. 41, no. 4.

Abstract

Deakin, JT & Heinke, D 2020, ''.

Deakin, JT & Heinke, D 2019, ''.

Other

Ghumra, A (ed.), Jenkins, B, Sykes, J, Thompson, J, Softley, T, Nicusan, A, Gilbert, S, Chen, Z, McCready, K, Henes, J, Zhang, X, Price, M, Owen, C, Allsopp, J, Carter, D, Thompson, S & Heinke, D (ed.) 2023, '', BEAR PGR Conference 2023, Bimingham, United Kingdom, 19/04/23 - 20/04/23 pp. 1.