Pietro Berkes - Publications

Affiliations: 
Brandeis University, Waltham, MA, United States 
Area:
visual system, computation & theory

20 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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  1
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  1
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  1
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 1
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  1
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  1
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 1
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  1
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  1
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 1
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.  1
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.  1
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  1
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  1
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  1
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  1
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  1
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.  1
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  1
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.  1
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