Hamker, Fred
Cited by
Cited by
The reentry hypothesis: the putative interaction of the frontal eye field, ventrolateral prefrontal cortex, and areas V4, IT for attention and eye movement
FH Hamker
Cerebral cortex 15 (4), 431-447, 2005
A dynamic model of how feature cues guide spatial attention
FH Hamker
Vision research 44 (5), 501-521, 2004
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy
H Schroll, FH Hamker
Frontiers in systems neuroscience 7, 122, 2013
Life-long learning cell structures—continuously learning without catastrophic interference
FH Hamker
Neural Networks 14 (4-5), 551-573, 2001
The peri-saccadic perception of objects and space
FH Hamker, M Zirnsak, D Calow, M Lappe
PLoS computational biology 4 (2), e31, 2008
Functional segregation of basal ganglia pathways in Parkinson’s disease
WJ Neumann, H Schroll, AL de Almeida Marcelino, A Horn, S Ewert, ...
Brain 141 (9), 2655-2669, 2018
ANNarchy: a code generation approach to neural simulations on parallel hardware
J Vitay, H‹ Dinkelbach, FH Hamker
Frontiers in neuroinformatics 9, 19, 2015
The reentry hypothesis: linking eye movements to visual perception
FH Hamker
Journal of Vision 3 (11), 14-14, 2003
The emergence of attention by population-based inference and its role in distributed processing and cognitive control of vision
FH Hamker
Computer Vision and Image Understanding 100 (1-2), 64-106, 2005
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
Working memory and response selection: a computational account of interactions among cortico-basalganglio-thalamic loops
H Schroll, J Vitay, FH Hamker
Neural Networks 26, 59-74, 2012
V4 receptive field dynamics as predicted by a systems-level model of visual attention using feedback from the frontal eye field
FH Hamker, M Zirnsak
Neural Networks 19 (9), 1371-1382, 2006
Modeling feature-based attention as an active top-down inference process
FH Hamker
BioSystems 86 (1-3), 91-99, 2006
Computational models of spatial updating in peri-saccadic perception
FH Hamker, M Zirnsak, A Ziesche, M Lappe
Philosophical Transactions of the Royal Society B: Biological Sciences 366†…, 2011
Neuro-cognitive mechanisms of conscious and unconscious visual perception: From a plethora of phenomena to general principles
M Kiefer, U Ansorge, JD Haynes, F Hamker, U Mattler, R Verleger, ...
Advances in Cognitive Psychology 7, 55, 2011
Dysfunctional and compensatory synaptic plasticity in P arkinson's disease
H Schroll, J Vitay, FH Hamker
European Journal of Neuroscience 39 (4), 688-702, 2014
Attentional selection of noncontiguous locations: The spotlight is only transiently “split”
J Dubois, FH Hamker, R VanRullen
Journal of Vision 9 (5), 3-3, 2009
The spatial distribution of receptive field changes in a model of peri-saccadic perception: predictive remapping and shifts towards the saccade target
M Zirnsak, M Lappe, FH Hamker
Vision research 50 (14), 1328-1337, 2010
Predictions of a model of spatial attention using sum-and max-pooling functions
FH Hamker
Neurocomputing 56, 329-343, 2004
Septic shock diagnosis by neural networks and rule based systems
R Brause, F Hamker, J Paetz
Computational intelligence processing in medical diagnosis, 323-356, 2002
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