Peter Földiák

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Co-authors

David PerrettUniversity of St AndrewsVerified email at st-andrews.ac.uk
Dominik EndresTheoretical Cognitive Science Group, Dept. Psychology, Philipps-University MarburgVerified email at uni-marburg.de
Christian KeysersHead of Social Brain Lab (Netherlands Institute for Neuroscience) and Professor of Social NeurosciVerified email at nin.knaw.nl
Michael OramUniversity of St AndrewsVerified email at st-andrews.ac.uk
Pascal HitzlerLloyd T. Smith Creativity in Engineering Chair, Kansas State University, Manhattan, KansasVerified email at ksu.edu
Daniel SilverJodrey School of Computer Science, Acadia UniversityVerified email at acadiau.ca
Artur d'Avila GarcezProfessor of Computer Science. City, University of LondonVerified email at city.ac.uk
Thomas IcardStanford UniversityVerified email at stanford.edu
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinVerified email at cs.utexas.edu
Tarek R. BesoldSony AI || Eindhoven University of TechnologyVerified email at sony.com
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Roland BaddeleyBristol psychologyVerified email at bristol.ac.uk
Peter JB HancockProfessor of Psychology, University of StirlingVerified email at stir.ac.uk
Johannes SchindelinVerified email at wisc.edu
Guy WallisUniversity of QueenslandVerified email at uq.edu.au
Edmund T RollsOxford Centre for Computational Neuroscience and University of WarwickVerified email at oxcns.org
Uta PrissOstfalia University of Applied SciencesVerified email at ostfalia.de
Gábor BerendUniversity of SzegedVerified email at inf.u-szeged.hu
Márton MakraiMTA Research Institute for Natural SciencesVerified email at ttk.hu
Lucia M VainaProfessor of Biomedical Engineering and of Graduate Program in NeuroscienceVerified email at bu.edu

Peter Földiák

Researcher ID I-4987-2012

Verified email at mokk.bme.hu - Homepage

Computational neuroscience neural codes Formal Concept Analysis semantic representation knowledge representation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning invariance from transformation sequences P Földiák Neural computation 3 (2), 194-200, 1991	969	1991
Forming sparse representations by local anti-Hebbian learning P Földiak Biological cybernetics 64 (2), 165-170, 1990	779	1990
Adaption and decorrelation in the cortex HB Barlow The computing neuron, 1989	453	1989
The speed of sight C Keysers, DK Xiao, P Földiák, DI Perrett Journal of cognitive neuroscience 13 (1), 90-101, 2001	424	2001
Adaptive network for optimal linear feature extraction Foldiak International 1989 Joint Conference on Neural Networks, 401-405 vol. 1, 1989	373	1989
Sparse coding in the primate cortex P Foldiak The handbook of brain theory and neural networks, 2003	311	2003
TheIdeal Homunculus': decoding neural population signals MW Oram, P Földiák, DI Perrett, F Sengpiel Trends in neurosciences 21 (6), 259-265, 1998	269	1998
Neural-symbolic learning and reasoning: contributions and challenges AA Garcez, TR Besold, L De Raedt, P Földiak, P Hitzler, T Icard, ... 2015 AAAI Spring Symposium Series, 2015	187	2015
Color sensitivity of cells responsive to complex stimuli in the temporal cortex R Edwards, D Xiao, C Keysers, P Földiák, D Perrett Journal of neurophysiology 90 (2), 1245-1256, 2003	94	2003
The ‘ideal homunculus’: statistical inference from neural population responses P Földiák Computation and neural systems, 55-60, 1993	94	1993
Learning invariant responses to the natural transformations of objects G Wallis, E Rolls, P Foldiak Proceedings of 1993 International Conference on Neural Networks (IJCNN-93 …, 1993	82	1993
Models of sensory coding. P FoÌˆldiak University of Cambridge, 1991	79	1991
Information theory and the brain R Baddeley, PJB Hancock, P Földiák Cambridge University Press, 2000	74	2000
Out of sight but not out of mind: the neurophysiology of iconic memory in the superior temporal sulcus C Keysers*, DK Xiao, P Földiák, DI Perrett Cognitive neuropsychology 22 (3-4), 316-332, 2005	71	2005
Rapid serial visual presentation for the determination of n eural selectivity in area STSa P Földiák, D Xiao, C Keysers, R Edwards, DI Perrett Progress in brain research 144, 107-116, 2004	70	2004
Sparse coding P Foldiak, DM Endres	53	2008
Stimulus optimisation in primary visual cortex P Földiák Neurocomputing 38, 1217-1222, 2001	47	2001
Bayesian bin distribution inference and mutual information D Endres, P Foldiak IEEE Transactions on Information Theory 51 (11), 3766-3779, 2005	46	2005
Neural coding: non-local but explicit and conceptual P Földiák Current Biology 19 (19), R904-R906, 2009	30	2009
An application of formal concept analysis to semantic neural decoding DM Endres, P Földiák, U Priss Annals of Mathematics and Artificial Intelligence 57, 233-248, 2009	28	2009

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