Dietmar Heinke
Cited by
Cited by
Early, involuntary top-down guidance of attention from working memory.
D Soto, D Heinke, GW Humphreys, MJ Blanco
Journal of Experimental Psychology: Human Perception and Performance 31 (2), 248, 2005
Working memory can guide pop-out search
D Soto, GW Humphreys, D Heinke
Vision research 46 (6-7), 1010-1018, 2006
Attention, spatial representation, and visual neglect: simulating emergent attention and spatial memory in the selective attention for identification model (SAIM).
D Heinke, GW Humphreys
Psychological review 110 (1), 29, 2003
Computational models of visual selective attention: A review
D Heinke, GW Humphreys
Connectionist models in cognitive psychology, 283-285, 2004
Modelling direct perceptual constraints on action selection: The Naming and Action Model (NAM)
EY Yoon, D Heinke, GW Humphreys
Visual Cognition 9 (4-5), 615-661, 2002
Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP
D Heinke, FH Hamker
IEEE transactions on neural networks 9 (6), 1279-1291, 1998
Spatial representation and selection in the brain: Neuropsychological and computational constraints
GWHD Heinke
Visual cognition 5 (1-2), 9-47, 1998
Dividing the mind: The necessary role of the frontal lobes in separating memory from search
D Soto, GW Humphreys, D Heinke
Neuropsychologia 44 (8), 1282-1289, 2006
Looking for intoolligence: A unified framework for the cognitive study of human tool use and technology
F Osiurak, D Heinke
The American psychologist 73 (2), 169-185, 2018
Prioritization in visual search: Visual marking is not dependent on a mnemonic search
CNL Olivers, GW Humphreys, D Heinke, ACG Cooper
Perception & Psychophysics 64 (4), 540-560, 2002
Featural guidance in conjunction search: The contrast between orientation and color.
GM Anderson, D Heinke, GW Humphreys
Journal of Experimental Psychology: Human Perception and Performance 36 (5 …, 2010
Modelling visual search with the selective attention for identification model (vs-saim): a novel explanation for visual search asymmetries
D Heinke, A Backhaus
Cognitive computation 3 (1), 185-205, 2011
Transient binding by time: Neuropsychological evidence from anti-extinction
GW Humphreys, MJ Riddoch, G Nys, D Heinke
Cognitive Neuropsychology 19 (4), 361-380, 2002
Bridging the gap between physiology and behavior: Evidence from the sSoTS model of human visual attention.
E Mavritsaki, D Heinke, H Allen, G Deco, GW Humphreys
Psychological review 118 (1), 3, 2011
Metacognitive impairments in schizophrenia are arrested at extreme levels of psychopathy: The cut-off effect.
A Abu-Akel, D Heinke, SM Gillespie, IJ Mitchell, S Bo
Journal of Abnormal Psychology 124 (4), 1102, 2015
A computational model of visual marking using an inter-connected network of spiking neurons: The spiking search over time & space model (sSoTS)
E Mavritsaki, D Heinke, GW Humphreys, G Deco
Journal of Physiology-Paris 100 (1-3), 110-124, 2006
SAIM: A model of visual attention and neglect
D Heinke, GW Humphreys
International conference on artificial neural networks, 913-918, 1997
Selective attention for identification model: simulating visual neglect
D Heinke, GW Humphreys
Computer vision and image understanding 100 (1-2), 172-197, 2005
The distribution of autistic traits across the autism spectrum: evidence for discontinuous dimensional subpopulations underlying the autism continuum
A Abu-Akel, C Allison, S Baron-Cohen, D Heinke
Molecular autism 10 (1), 1-13, 2019
Implied actions between paired objects lead to affordance selection by inhibition.
S Xu, GW Humphreys, D Heinke
Journal of Experimental Psychology: Human Perception and Performance 41 (4 …, 2015
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