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ORCIDDietmar Heinke
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2020 – today
- 2024
[j12]Jordan Deakin
, Andrew Schofield, Dietmar Heinke:
Support for the Time-Varying Drift Rate Model of Perceptual Discrimination in Dynamic and Static Noise Using Bayesian Model-Fitting Methodology. Entropy 26(8): 642 (2024)- [c10]Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu:
CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations. IJCAI 2024: 3178-3186 - [i2]Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu:
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations. CoRR abs/2404.16482 (2024) - [i1]Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu:
CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation. CoRR abs/2407.14949 (2024) - 2023
- [j11]Mukesh Makwana, Fan Zhang, Dietmar Heinke, Joo-Hyun Song:
Continuous action with a neurobiologically inspired computational approach reveals the dynamics of selection history. PLoS Comput. Biol. 19(7) (2023) - 2020
- [j10]Anna-Maria Velentza, Dietmar Heinke, Jeremy L. Wyatt:
Museum robot guides or conventional audio guides? An experimental study. Adv. Robotics 34(24): 1571-1580 (2020)
2010 – 2019
- 2019
- [c9]Anna-Maria Velentza, Dietmar Heinke, Jeremy L. Wyatt:
Human Interaction and Improving Knowledge through Collaborative Tour Guide Robots. RO-MAN 2019: 1-7 - 2018
- [c8]Zahrieh Yousefi, Dietmar Heinke, Ian Apperly, Peer-Olaf Siebers:
An Agent-Based Model for False Belief Tasks: Belief Representation Systematic Approach (BRSA). SBP-BRiMS 2018: 111-126 - 2015
- [j9]Soeren Strauss, Philip J. W. Woodgate, Saber A. Sami, Dietmar Heinke:
Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks 72: 3-12 (2015) - [j8]Farzaneh Sheikhnezhad Fard, Paul Hollensen, Dietmar Heinke, Thomas Trappenberg:
Modeling human target reaching with an adaptive observer implemented with dynamic neural fields. Neural Networks 72: 13-30 (2015) - 2013
- [j7]Dietmar Heinke, Gregory Carslaw, Julie Christian:
An Agent-Based Simulation of Destigmatization (DSIM): Introducing a Contact Theory and Self-Fulfilling Prophecy Approach. J. Artif. Soc. Soc. Simul. 16(4) (2013) - 2011
- [j6]Dietmar Heinke, Andreas Backhaus:
Modelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search Asymmetries. Cogn. Comput. 3(1): 185-205 (2011)
2000 – 2009
- 2008
- [c7]Christoph Böhme, Dietmar Heinke:
Where Do We Grasp Objects? - An Experimental Verification of the Selective Attention for Action Model (SAAM). WAPCV 2008: 41-53 - 2007
- [j5]Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphreys, Gustavo Deco:
Suppressive effects in visual search: A neurocomputational analysis of preview search. Neurocomputing 70(10-12): 1925-1931 (2007) - [c6]Dietmar Heinke, Andreas Backhaus, Yaoru Sun, Glyn W. Humphreys:
The Selective Attention for Identification Model (SAIM): Simulating Visual Search in Natural Colour Images. WAPCV 2007: 141-154 - [c5]Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphreys, Gustavo Deco:
The Spiking Search over Time and Space Model (sSoTS): Simulating Dual Task Experiments and the Temporal Dynamics of Preview Search. WAPCV 2007: 338-351 - 2005
- [j4]Dietmar Heinke, Glyn W. Humphreys:
Selective Attention for Identification Model: Simulating visual neglect. Comput. Vis. Image Underst. 100(1-2): 172-197 (2005) - [c4]Andreas Backhaus, Dietmar Heinke, Glyn W. Humphreys:
Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks. CVPR Workshops 2005: 87 - 2004
- [c3]Dietmar Heinke, Yaoru Sun, Glyn W. Humphreys:
Modeling Grouping Through Interactions Between Top-Down and Bottom-Up Processes: The Grouping and Selective Attention for Identification Model (G-SAIM). WAPCV 2004: 148-158 - 2002
- [j3]Dietmar Heinke, Gustavo Deco, Josef Zihl, Glyn W. Humphreys:
A computational neuroscience account of visual neglect. Neurocomputing 44-46: 811-816 (2002) - [j2]Dietmar Heinke, Glyn W. Humphreys, Giovanni di Virgilio:
Modelling visual search experiments: the selective attention for identification model (SAIM). Neurocomputing 44-46: 817-822 (2002)
1990 – 1999
- 1998
- [b1]Dietmar Heinke:
Selbstorganisation einer zeitlichen Objektpräsentation. Technische Universität Ilmenau, Germany, Logos-Verlag 1998, ISBN 978-3-89722-047-8, pp. 1-194 - [j1]Dietmar Heinke, Fred H. Hamker:
Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP. IEEE Trans. Neural Networks 9(6): 1279-1291 (1998) - 1997
- [c2]Dietmar Heinke, Glyn W. Humphreys:
SAIM: A Model of Visual Attention and Neglect. ICANN 1997: 913-918 - [c1]Glyn W. Humphreys, Dietmar Heinke:
Selection for Object Identification: Modelling Emergent Attentional Processes in Normality and Pathology. NCPW 1997: 98-112
Coauthor Index
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