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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)
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- 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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- 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)
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- 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.
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- 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.
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- 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.
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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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- 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
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- Heinke, D. (2004).
- Objects and attention, Perception, 33(6):761-762.
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- 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.
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- 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
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- 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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- 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
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- 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.
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- 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).
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- 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.
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- 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
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- 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.
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- 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
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- 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
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- 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
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- 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.
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- 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.
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- 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
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- 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
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- 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
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- 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.
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- 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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- 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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