University of Birmingham
Psychology Title

Psychology

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Publications


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Journal publications

Carslaw, G., Christian J. & Heinke, D. (2013)
An Agent-based Simulation of Destigmatization (DSIM): Introducing a Contact Theory and Self-fulfilling Prophecy Approach. Journal of Artificial Societies and Social Simulation, 16(4), 10.
 
Anderson, G.M, Heinke, D. & Humphreys, G. W. (2013)
Top-down guidance of eye movements in conjunction search. Vision Research, 79, 36-46. DOI
 
Strauss, S. & Heinke, D. (2012)
A robotics-based approach to modeling of choice reaching experiments on visual attention. Front. Psychology, 3:105. doi: 10.3389/fpsyg.2012.00105
 
Zhao, Y., Humphreys, G. W., Heinke, D. (2012)
A Biased-Competition Approach to Spatial Cuing: Combining Empirical Studies and Computational Modelling. Visual Cognition, 20(2), 170-210.DOI
 
Anderson, G.M, Heinke, D. & Humphreys, G. W. (2012)
Bottom-up Guidance to Grouped Items in Conjunction Search: Evidence for Color Grouping. Vision Research, 52(1), 88-96. DOI
 
Zhao, Y., Heinke, D., Ivanoff, J., Klein, M. K. & Humphreys, G. W. (2011)
Two components in IOR: Evidence for response bias and perceptual processing delays using the SAT methodology. Attention Perception & Psychophysics, 73(7), 2143-2159. DOI: 10.3758/s13414-011-0181-z
 
Heinke, D. & Backhaus, A.(2011)
Modeling visual search with the Selective Attention for Identification model (VS-SAIM): A novel explanation for visual search asymmetries. Cognitive Computation, 3(1), 185-205. Open Access
 
Anderson, G. M., Heinke, D., & Humphreys, G. W. (2011)
Differential time course of implicit and explicit cueing by colour and orientation in visual search Visual Cognition, 19(2), 258-288.
 
Mavritsaki, E. , Heinke, D. , Allen H., Deco, G., & Humphreys, G. W. (2011)
Bridging the gap between physiology and behavior: Evidence from the sSoTS model of human visual attention. Psychological Review, 118(1), 3-41.
 
Anderson, G. M., Heinke, D., & Humphreys, G. W. (2010)
Featural guidance in conjunction search: The contrast between orientation and color. Journal of Experimental Psychology: Human Perception and Performance,36(5), 1108-1127
 
Mavritsaki, E., Heinke, D., Deco, & G. , Humphreys, G. W. (2009)
Simulating posterior parietal damage in a biologically plausible framework: Neuropsychological tests of the sSoTS model. Cognitive Neuropsychology, 26(4), 343-390.
 
Deco, G., & Heinke, D. (2007)
Attention and Spatial Resolution: A theoretical and experimental study of visual search in hierarchical patterns. Perception, 36(3), 335-354
 
Mavritsaki, E., Heinke, D., Humphreys, G. W., & Deco, G. (2007)
Suppressive effects in visual search: A neurocomputational analysis of preview search. Neurocomputing, 70(10-12), Sp. Iss. SI, 1925-1931.
 
Mavritsaki E., Heinke D., Humphreys G. W., & Deco G. (2006)
A computational model of visual marking using an interconnected network of spiking neurons: The spiking search over time & space model (sSoTS). Journal of Physiology-Paris, 100(1/2/3), 110-124.
 
Heinke, D., Humphreys, G. W., & Tweed, C. L. (2006)
Top-down guidance of visual search: A computational account. Visual Cognition. 14(4/5/6/7/8), 985-1005. Draft
 
Soto, D., Humphreys, G. W., &  Heinke, D. (2006).
Dividing the mind: The necessary role of the frontal lobes in separating memory from search. NEUROPSYCHOLOGIA, 44(8), 1282-1289.
 
Soto, D., Humphreys, G. W., &  Heinke, D. (2006).
Working memory can guide pop-out search. Vision Research, 46(6/7), 1010-1018.
 
Heinke, D., & Humphreys, G. W. (2005).
Selective Attention for Identification Model (SAIM): Simulating visual neglect. Computer Vision and Image Understanding, 100 (1/2), 172-197.  Article
 
Soto, D., Heinke, D., Humphreys, G. W., & Blanco, M. (2005).
Early, involuntary top-down guidance of attention from working memory.
Journal of Experimental Psychology: Human Perception and Performance, 31(2), 248-261. Draft
 
Heinke, D., & Humphreys, G. W. (2003).
Attention, spatial representation and visual neglect: Simulating emergent attention and spatial memory in the Selective Attention for Identification Model (SAIM).
Psychological Review, 110(1):29-87. Abstract Complete draft (1.3MB)
 
Heinke, D., Deco, G., Zihl, J., & Humphreys, G. W. (2002).
A Computational Neuroscience Account of Visual Neglect. Neurocomputing, 44:811-816. Abstract Paper
Heinke, D., Humphreys, G. W., & diVirgilo, G. (2002).
Modeling visual search experiments: Selective Attention for Identification Model (SAIM).
Neurocomputing, 44:817-822. Abstract Paper
 
Humphreys, G. W., Riddoch, M. J., Nys, G., & Heinke, D. (2002).
Unconscious, transient binding by time: Neuropsychological evidence from anti-extinction.
Cognitive Neuropsychology, 19(4):361-380. Abstract
 
Olivers, N. L. C., Humphreys, G. W., Heinke, D., & Cooper, A. C. G. (2002).
Prioritization in visual search: Visual marking is not dependent on a mnemonic search.
Perception & Psychophysics, 64(4), 540-560.Abstract
 
Yoon, E. Y., Heinke, D., & Humphreys, G. W. (2002).
Modelling direct perceptual constraints on action selection: The Naming and Action model (NAM). Visual Cognition, 9(4/5):615-661. Abstract
 
Heinke, D., & Hamker, F. H. (1998).
Comparing Neural Networks: A Benchmark on Growing Neural Gas, Growing Cell Structures, and Fuzzy ARTMAP. IEEE Transactions on Neural Networks, 9(6):1279-1291. Abstract

Humphreys, G. W., & Heinke, D. (1998).
Spatial representation and selection in the brain: Neuropsychological and computational constraints. Visual Cognition, 5(1/2):9-47.

Heinke, D., & Humphreys, G. W. (in preparation).
Attentional Repulsion and Attraction Effects in Localisation.
 

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Authored Books

Heinke, D. (1998).
Selbstorganisation einer zeitlichen Objektrepräsentation (Selforganisation of a temporal object representation).
Logos Verlag Berlin. PhD-Thesis, University of Ilmenau.

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Edited Books

Heinke, D. & Mavritsaki, E. (Eds.) (2009).
Computational Modelling in Behavioural Neuroscience: Closing the gap between neurophysiology and behaviour, London: Psychology Press. (preface, table of content)
 
Heinke, D., Humphreys, G. W., & Olson, A., editors (1998).
Connectionist Models in Cognitive Neuroscience- The 5th Neural Computation and Psychology Workshop.
Springer Verlag, University of Birmingham, England.

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Conference proceedings - refereed

Boehme, Ch. & Heinke, D. (2011).
A Neurodynamical Approach to Visual Affordances: The Selective Attention for Action Model (SAAM) In R. Wang & F. Gu (Eds.), Advances in Cognitive Neurodynamics (II) (pp. 501-505). Springer-Verlag. (Proc. of the of the Second International Conference on Cognitive Neurodynamics - 2009)
 
Heinke, D., Mavritsaki, E., Backhaus, A., & Kreyling, M. (2009).
The selective attention for identification model (SAIM): A framework for closing the gap between behaviour and neurological level. In Heinke, D. & Mavritsaki, E. (Eds.) (2009) Computational Modelling in Behavioural Neuroscience: Closing the gap between neurophysiology and behaviour, London: Psychology Press.
 
Humphreys, G. W., Mavritsaki, E., Allen, H., Heinke, D. & Deco, G. (2009).
Application of neural level model to human visual search: Modelling the whole system behaviour, neurophysiological break down and neural signal response. In Heinke, D. & Mavritsaki, E. (Eds.) (2009) Computational Modelling in Behavioural Neuroscience: Closing the gap between neurophysiology and behaviour, London: Psychology Press.
 
Heinke, D. (2009).
Computational modelling in behavioural neuroscience: Methodologies and Approaches - Minutes of discussions at the workshop in Birmingham, UK in May 2007. In Heinke, D. & Mavritsaki, E. (Eds.) (2009) Computational Modelling in Behavioural Neuroscience: Closing the gap between neurophysiology and behaviour, London: Psychology Press.
 
Boehme, Ch. & Heinke, D. (2009).
Where Do We Grasp Objects? - An Experimental Verification of the Selective Attention for Action Model (SAAM). In L. Paletta & J. K. Tsotsos (Eds.), Attention in cognitive systems: International workshop on attention in cognitive systems (pp. 41-53). Springer-Verlag. (Proc. of the WAPCV-2008 Fira, Santorini, Greece, May 12, 2008) Draft
 
Boehme, Ch. & Heinke, D. (2009).
Modelling visual Affordances: The Selective Attention for Action Model (SAAM). In J. Mayor, N. Ruh, & K. Plunkett (Eds.), Connectionist models of behaviour and cognition II (pp. 129-140). London: World Scientific. (Proceedings of the 11th Neural Computation and Psychology Workshop (NCPW11), University of Oxford, UK, 16-18 July 2008) Draft
 
Heinke, D., Backhaus, A., Sun, Y. & Humphreys, G.W. (2008).
The Selective Attention for Identification model (SAIM): Simulating Visual Search in Natural Colour Images. In Paletta, L. and Rome, E. (eds.) Attention in Cognitive Systems, 143-172, Springer LNAI 4840 Draft
 
Backhaus, A., Heinke, D., & Humphreys, G. W. (2005).
Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cvpr'05) - Workshops - Volume 03 (June 20 - 26, 2005). CVPR. IEEE Computer Society, Washington, DC.  Draft
 
 
Heinke, D., Sun, Y., & Humphreys, G. W. (2005).
Modeling Grouping Through Interactions Between Top-Down and Bottom-Up Processes: The Grouping and Selective Attention for Identification Model (G-SAIM).  In Paletta, L., Tsotsos, J. K., Rome, E., Humphreys, G. W. editors: Attention and Performance in Computational Vision, 2nd International Workshop, WAPCV 2004, Pragues, Czech Republic, May 15, 2004, pages 148-158, Springer, ISBN 3-540-24421-2.   Draft
 
Heinke, D., Humphreys, G. W., & Tweed, C. L.(2004).
Modelling visual search: Evolving the Selection Attention for Identification model (SAIM).
In Bowman, H. and Labiouse, A., editors, The 8th Neural Computation and Psychology Workshop (NCPW8): Connectionist Models of Cognition and Perception II, pages 168-177, University of Kent, England, World Scientific.Draft
 
Heinke, D. & Humphreys, G. W. (1999).
Modelling Emergent Attentional Properties.
In Heinke, D., Humphreys, G., and Olson, A., editors, Connectionist Models in Cognitive Neuroscience - The 5th Neural Computation and Psychology Workshop, pages 240-251, University of Birmingham, England, Springer Verlag. Draft
 
Heinke, D. & Humphreys, G. W. (1997).
SAIM: A Model of Visual Attention and Neglect.
In Proc. of the 7th International Conference on Artificial Neural Networks-ICANN'97, pages 913-918, Lausanne, Switzerland. Springer Verlag. Draft
 
Humphreys, G. W., & Heinke, D. (1997).
Representing and attending to visual space: A computational perspective on neuropsychological problems. In 4th Neural Computation and Psychology Workshop Connectionist Representations: Theory and Practice, pages 99-112, University of London, England.
 
Böhme, H.-J., Gross, H.-M., Brauman, U.-D., Heinke, D., Pomierski, T., & Brakensiek, A.
(1996).
Active-Vision zur Selbstorganisation von Verhalten in senso-motorischen Systemen.
In Mertsching, B., editor, Aktives Sehen in technischen und biologischen Systemen, pages 60-66. infix.
 
Gross, H.-M., Boehme, H.-J., Braumann, U.-D., Heinke, D., & Pomierski, T. (1996).
Corticale Architekturprinzipien zur Selbstorganisation eines verhaltensbasierten Objektverständnisses bei der Farbszenenanlyse (Namos-Teilprojekt D).
In Proc. des BMBF-Statusseminars ''Neuroinformatik und Künstliche Intelligenz'', pages 276-283.
 
Böhme, H.-J., Braumann, U.-D., Heinke, D., & Gross, H.-M. (1995).
A Neural Network Architecture for Scene Interpretation.
In Proc. of 3. Annual SNN Symposium on Neural Networks, pages 173-176, Nijmegen, The Netherlands. Springer Verlag.

Gross, H.-M., Heinke, D., Böhme, H.-J., Braumann, U.-D., & Pomierski, T. (1995).
A Behaviour-oriented Approach to an Implicit ''Object-understanding'' in Visual Attention.
In Proc. of IEEE-Intern. Conference on Neural Networks - ICNN'95, pages 395-419.
 
Gross, H.-M., Boehme, H.-J., Heinke, D., Pomierski, T., & Möller, R. (1994a).
Self-Organizing a Behaviour-Oriented Interpretation of Objects in Active-Vision.
In Proc. of International Conference on Artificial Neural Network - ICANN'94, pages 58-61, Sorrento, Italy. Springer Verlag.

Gross, H.-M., Heinke, D., Boehme, H.-J., & Pomierski, T. (1994b).
A Behaviour-oriented Approach to an Object-understanding Visual Attention.
In Proc. of 39. International Scientific Collogium, pages 95-103, University of Ilmenau, Germany.

Heinke, D., & Gross, H.-M. (1994).
A Selforganizing Neural Network Architecture for Visual Attention.
In Proc. of 39. International Scientific Collogium, pages 124-131, University of Ilmenau, Germany.
 
Heinke, D. & Gross, H.-M. (1993).
A Simple Selforganizing Neural Network Archiecture for Selective Visual Attention.
In Proc. of the International Conference on Artificial Neural Network - ICANN'93, pages 63-66, Amsterdam, The Netherlands. Springer Verlag.
 
Giannakopoulos, F., Heinke, D., & Best, J. (1991).
A network-model for binocular interaction in the thalamo-cortical feedback-system.
In Kohonen, T., Mäkisara, K., and Simula, O., editors, Artificial Neural Networks, pages 1723-1726. Elsevier Science Publishers.
 
Heinke, D., Giannakopoulos, F., & Best, J. (1990).
The thalamo-cortical feedback-system: A nonlinear network-model for binocular interaction.
In Eckmiller, R., Hartmann, G., & Hauske, G., editors, Parallel Processing in Neural Systems and Computers, pages 113-116. Elsevier Science Publishers B.V.


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Reviews

 
Heinke, D., & Humphreys, G. W. (2005).
Computational Models of Visual Selective Attention: A Review.
In Houghton, G., editor, Connectionist Models in Psychology, 273 - 312, Psychology Press Abstract
 
Heinke, D. (2004).
Objects and attention, Perception, 33(6):761-762.

Heinke, D. (2000).
A Dynamical System Theory Approach to Cognitive Neuroscience. Book Review on: Neural Organization, M. A. Arbib, P. Erdi & J. Szentagothai.
Behavioural and Brain Science, 23(4):543-566.
 
Humphreys, G. W., Heinke, D., & Yoon, E.. Y. (2006).
Cognitive Neuropsychology and Computational Modelling: The Contribution of Computational Neuroscience to Understanding the Mind. In  C. Senior,  T. Russell &  M. S. Gazzaniga, editors, Methods in Mind, pp. 71-102, The MIT Press. Draft
 
Olivers, C. N. L., Heinke, D., Humphreys, G. W., & Müller, H. (1999).
Close interactions between 'when' and 'where' in saccade target selection: Multiple saliency and distractor effects. Comment on: A model of saccade generation based on parallel processing and competitve inhibition, J.M. Findlay & R. Walker.
Behavioural and Brain Science, 22(4):693-694.


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Abstracts

 
Strauss S and Heinke D (2011).
A robotics-based approach to modelling choice reaching tasks. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00100
 
Zhao, Y., Heinke D., & Humphreys, G. W. (2007).
Effects of cue luminance on facilitation and inhibition in a spatial cueing paradigm. Proc. of the European society for cognitive psychology (ESCOP). Marseille, France, 29. August – 1. September, 2007.
 
Anderson, G. M., Heinke, D. & Humphreys, G. W.  (2006)
Top-down modulation in inefficient search:  Evidence of differences between orientation and colour cuing.
Perception, 35, S163b, 2006. (ECVP 2006).
 
Anderson, G. M., Heinke, D., & Humphreys, G. W. (2006)
Top-down modulation in inefficient search: Evidence of differences between orientation and colour cuing.
Proc. of 60th meeting of The Experimental Psychology Group, EPS2006, Birmingham, UK, April 10-12, 2006, p. 62.
 
Backhaus, A., & Heinke, D.  (2006).
Simulating asymmetries and similarity effects in visual search with SAIM (Selective Attention for Identification model).
Proceedings of the Experimental Psychology Society (EPS)'06, Birmingham, United Kingdom, April 10-11, 2006, p. 33
 
Soto, D., Humphreys, G. W. & Heinke, D. (2006).
Dividing the mind: The necessary role of the frontal lobes in separating memory from search. Proc. of the Experimental Psychology Society (EPS)'06, Birmingham, United Kingdom, April 10-11, 2006, p. 21.
 
Heinke, D. (2003).
Modeling visual search experiments: A new version of the Selective Attention for Identification Model (SAIM). Proceedings of the Symposium on Visual Search and Selective Attention, Holzhausen am Ammersee, Germany, June 6 - 10 Slides

Heinke, D. (2003).
Selective attention for identification model (SAIM): Computational modelling of visual extinction and neglect, Proceedings of the 26th European Conference on visual perception . Paris, France, September 1 - 5, p.18

Heinke, D., & Humphreys, G. W. (2003).
Modeling visual search experiments: A new version of the Selective Attention for Identification Model (SAIM), Proceedings of the 8th Neural Computation and Psychology Workshop. Kent, United Kingdom, August 27 - 30, p. 10

Heinke, D., di Virgilio, G., & Humphreys, G. W. (2001).
Selective attention for identification model (SAIM): Modelling data from visual search experiments. Proceedings of the 12th Congress of the European Society for Cognitive Psychology (ESCOP)'01, Edinburgh, United Kingdom, September, 2001, p.20.

Heinke, D., & Humphreys, G. W. (1998a).
Computational Modelling of Attention and Disorders in the Human Visual System.
Proceedings of the 10th Congress of the European Society for Cognitive Psychology (ESCOP), Jerusalem, Israel, September 13 - 17, 1998, p. 172.

Heinke, D. and Humphreys, G. W. (1998b).
Modelling emergent attentional processes.
Proceedings of the Experimental Psychology Society (EPS)'98, York, United Kingdom, July 2-4, 1998, p. 19

Humphreys, G. W., & Heinke, D. (2001).
Modelling attention in a quasi-modular interactive system: The SAIM model.
Proceedings of the Experimental Psychology Society (EPS)'01, Manchester, United Kingdom, July, 2001, p.20

Humphreys, G. W., Riddoch, M. J., Nys, G., & Heinke, D. (2002).
Unconscious temporal binding by time: Evidence from anti-extinction.
Neurocase, Proceedings of the British Neuropsychological Society (BNS) autumn meeting, 8:253

Yoon, E. Y., Heinke, D., & Humphreys, G. W. (2001).
Modeling direct perceptual constraints on action selection: The and Action model (NAM).
Proceedings of the 12th Congress of the European Society for Cognitive Psychology (ESCOP)'01, Edinburgh, Scottland, September, 2001, p.30.
 
Gross, H.-M., Heinke, D., Boehme, H.-J., Braumann, U.-D., & Pomierski, T. (1995).
A Behaviour-oriented Approach to an Implicit ''Object-Understanding'' in Visual Attention.
In Proc. of International Conference on Neural Networks - ICNN'95, Perth, Australia.


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Others

Hamker, F., & Heinke, D. (1997).
Implementation and Comparison of Growing Neural Gas, Growing Cell Structures and Fuzzy Artmap (Report 1/97).
Schriftenreihe des Fachgebietes Neuroinformatik der TU Ilmenau, ISSN 0945-7518. Fachgebiet Neuroinformatik, University of Ilmenau.


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