Year |
Citation |
Score |
2016 |
Orbán G, Berkes P, Fiser J, Lengyel M. Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex. Neuron. 92: 530-543. PMID 27764674 DOI: 10.1016/J.Neuron.2016.09.038 |
0.627 |
|
2016 |
Haefner RM, Berkes P, Fiser J. Perceptual Decision-Making as Probabilistic Inference by Neural Sampling. Neuron. 90: 649-60. PMID 27146267 DOI: 10.1016/J.Neuron.2016.03.020 |
0.702 |
|
2013 |
Fiser J, Savin C, Berkes P, Chiu C, Lengyel M. Experience-based development of internal probabilistic representations in the primary visual cortex Journal of Vision. 13: 600-600. DOI: 10.1167/13.9.600 |
0.597 |
|
2013 |
Wilbert N, Zito T, Schuppner RB, Jedrzejewski-Szmek Z, Wiskott L, Berkes P. Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing Journal of Computational Science. 4: 345-351. DOI: 10.1016/J.Jocs.2011.10.005 |
0.619 |
|
2012 |
Haefner RM, Berkes P, Fiser J. The relation of decision-making and endogenous covert attention to sampling-based neural representations Journal of Vision. 12: 159-159. DOI: 10.1167/12.9.159 |
0.691 |
|
2011 |
Berkes P, Orbán G, Lengyel M, Fiser J. Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. Science (New York, N.Y.). 331: 83-7. PMID 21212356 DOI: 10.1126/Science.1195870 |
0.589 |
|
2011 |
Wiskott L, Berkes P, Franzius M, Sprekeler H, Wilbert N. Slow feature analysis Scholarpedia. 6: 5282. DOI: 10.4249/Scholarpedia.5282 |
0.689 |
|
2011 |
Popovic M, Lisitsyn D, Berkes P, Lengyel M, Fiser J. Uncertainty representation of low-level visual attributes Journal of Vision. 11: 807-807. DOI: 10.1167/11.11.807 |
0.649 |
|
2011 |
Turner RE, Berkes P, Fiser J. Learning complex tasks with probabilistic population codes Nature Precedings. DOI: 10.1038/Npre.2011.5838.1 |
0.535 |
|
2011 |
Berkes P, Turner RE, Fiser J. The Army of One (Sample): the Characteristics of Sampling-based Probabilistic Neural Representations Nature Precedings. 6: 1-1. DOI: 10.1038/Npre.2011.5811.1 |
0.567 |
|
2010 |
Fiser J, Berkes P, Orbán G, Lengyel M. Statistically optimal perception and learning: from behavior to neural representations. Trends in Cognitive Sciences. 14: 119-30. PMID 20153683 DOI: 10.1016/J.Tics.2010.01.003 |
0.602 |
|
2009 |
Berkes P, Turner RE, Sahani M. A structured model of video reproduces primary visual cortical organisation. Plos Computational Biology. 5: e1000495. PMID 19730679 DOI: 10.1371/Journal.Pcbi.1000495 |
0.44 |
|
2009 |
Berkes P, White BL, Fiser J. No evidence for active sparsification in the visual cortex Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 108-116. |
0.543 |
|
2008 |
Zito T, Wilbert N, Wiskott L, Berkes P. Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework. Frontiers in Neuroinformatics. 2: 8. PMID 19169361 DOI: 10.3389/Neuro.11.008.2008 |
0.602 |
|
2007 |
Berkes P, Wiskott L. Analysis and interpretation of quadratic models of receptive fields. Nature Protocols. 2: 400-7. PMID 17406601 DOI: 10.1038/Nprot.2007.27 |
0.619 |
|
2006 |
Blaschke T, Berkes P, Wiskott L. What is the relation between slow feature analysis and independent component analysis? Neural Computation. 18: 2495-508. PMID 16907634 DOI: 10.1162/Neco.2006.18.10.2495 |
0.615 |
|
2006 |
Berkes P, Wiskott L. On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields. Neural Computation. 18: 1868-95. PMID 16771656 DOI: 10.1162/Neco.2006.18.8.1868 |
0.634 |
|
2005 |
Berkes P, Wiskott L. Slow feature analysis yields a rich repertoire of complex cell properties. Journal of Vision. 5: 579-602. PMID 16097870 DOI: 10.1167/5.6.9 |
0.652 |
|
2003 |
Wiskott L, Berkes P. Is slowness a learning principle of the visual cortex? Zoology (Jena, Germany). 106: 373-82. PMID 16351921 DOI: 10.1078/0944-2006-00132 |
0.677 |
|
2002 |
Berkes P, Wiskott L. Applying Slow Feature Analysis to image sequences yields a rich repertoire of complex cell properties Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 81-86. |
0.58 |
|
Low-probability matches (unlikely to be authored by this person) |
2011 |
March MC, Trotta R, Berkes P, Starkman GD, Vaudrevange PM. Improved constraints on cosmological parameters from Type Ia supernova data Monthly Notices of the Royal Astronomical Society. 418: 2308-2329. DOI: 10.1111/J.1365-2966.2011.19584.X |
0.244 |
|
2012 |
Pinte D, Jones E, Kern R, Berkes P. Python for geophysical data processing and visualization 74th Eage Conference and Exhibition Incorporating Spe Europec 2012. |
0.228 |
|
2011 |
Shelton JA, Bornschein J, Sheikh AS, Berkes P, Lücke J. Select and sample - A model of efficient neural inference and learning Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.214 |
|
2009 |
Berkes P, Wood F, Pillow J. Characterizing neural dependencies with copula models Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 129-136. |
0.191 |
|
2005 |
Berkes P. Handwritten digit recognition with Nonlinear Fisher Discriminant Analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3697: 285-287. |
0.117 |
|
2009 |
Berkes P, Turner R, Sahani M. On sparsity and overcompleteness in image models Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.084 |
|
2003 |
Göhde W, Cassens U, Lehman LG, Traoré Y, Berkes P, Westerberg C, Greve B. Individual patient-dependent influence of erythrocyte lysing procedures on flow-cytometric analysis of leukocyte subpopulations Transfusion Medicine and Hemotherapy. 30: 165-170. DOI: 10.1159/000073325 |
0.05 |
|
2007 |
Berkes P, Nyerges M, Váczi J. Macro-aspects affecting sport sponsorship: The case of Hungarian professional soccer clubs' sponsors Society and Economy. 29: 383-411. DOI: 10.1556/SocEc.29.2007.3.6 |
0.038 |
|
2012 |
Matzke A, Churakov G, Berkes P, Arms EM, Kelsey D, Brosius J, Kriegs JO, Schmitz J. Retroposon insertion patterns of neoavian birds: strong evidence for an extensive incomplete lineage sorting era. Molecular Biology and Evolution. 29: 1497-501. PMID 22319163 DOI: 10.1093/molbev/msr319 |
0.033 |
|
1956 |
BERKES P, BERKES I. [Contribution to the paper chromatography of insulin]. Biochemische Zeitschrift. 328: 361-7. PMID 13403931 |
0.029 |
|
1955 |
BERKES P, STRAUS B, FISER M. [Determination of normal blood protein levels with paper electrophoresis]. Acta Medica Iugoslavica. 9: 206-12. PMID 13326255 |
0.026 |
|
1957 |
BERKES I, BERKES P. [Non-specific effect of insulin in cationic solutions on yeast respiration]. Hoppe-Seyler's Zeitschrift Fã¼R Physiologische Chemie. 308: 136-40. PMID 13474654 |
0.015 |
|
2009 |
Berkes P, Nyerges M, Váczi J. The changing of the sponsorship market: The case of Hungarian professional soccer club sponsors | Die Veränderung des Sponsoring-Markts: Am Beispiel der Sponsoren professioneller ungarischer Fußballclubs Sportwissenschaft. 39: 35-44. DOI: 10.1007/s12662-009-0005-7 |
0.01 |
|
1994 |
Zhao B, Dierichs R, Liu B, Berkes P. Gold-labelled Low Density Lipoproteins Bind to Washed Human Platelets. Platelets. 5: 113-20. PMID 21043613 DOI: 10.3109/09537109409005522 |
0.01 |
|
1993 |
Zhao B, Dierichs R, Liu JF, Zhu ZM, Berkes P, Frye S. Influence of low density lipoproteins on cytosolic free Ca2+ concentration and dense tubular system in human platelets. Thrombosis Research. 72: 33-7. PMID 8122185 DOI: 10.1016/0049-3848(93)90170-S |
0.01 |
|
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