| Year |
Citation |
Score |
| 2016 |
Antolík J, Hofer SB, Bednar JA, Mrsic-Flogel TD. Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes. Plos Computational Biology. 12: e1004927. PMID 27348548 DOI: 10.1371/journal.pcbi.1004927 |
1 |
|
| 2015 |
Bednar JA, Wilson SP. Cortical Maps. The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry. PMID 26290447 DOI: 10.1177/1073858415597645 |
1 |
|
| 2015 |
Perrinet LU, Bednar JA. Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. 5: 11400. PMID 26096913 DOI: 10.1038/srep11400 |
1 |
|
| 2015 |
Muller E, Bednar JA, Diesmann M, Gewaltig MO, Hines M, Davison AP. Python in neuroscience. Frontiers in Neuroinformatics. 9: 11. PMID 25926788 DOI: 10.3389/fninf.2015.00011 |
1 |
|
| 2015 |
Wilson SP, Bednar JA. What, if anything, are topological maps for? Developmental Neurobiology. 75: 667-81. PMID 25683193 DOI: 10.1002/dneu.22281 |
1 |
|
| 2014 |
Perrinet LU, Adams RA, Friston KJ. Active inference, eye movements and oculomotor delays. Biological Cybernetics. 108: 777-801. PMID 25128318 DOI: 10.1007/s00422-014-0620-8 |
1 |
|
| 2014 |
Bednar JA. Constructing complex systems via activity-driven unsupervised hebbian self-organization Studies in Computational Intelligence. 557: 201-225. DOI: 10.1007/978-3-642-55337-0_7 |
1 |
|
| 2013 |
Stevens JL, Elver M, Bednar JA. An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook. Frontiers in Neuroinformatics. 7: 44. PMID 24416014 DOI: 10.3389/fninf.2013.00044 |
1 |
|
| 2013 |
Stevens JL, Law JS, AntolÃk J, Bednar JA. Mechanisms for stable, robust, and adaptive development of orientation maps in the primary visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 15747-66. PMID 24089483 DOI: 10.1523/JNEUROSCI.1037-13.2013 |
1 |
|
| 2013 |
Kaplan BA, Lansner A, Masson GS, Perrinet LU. Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers in Computational Neuroscience. 7: 112. PMID 24062680 DOI: 10.3389/fncom.2013.00112 |
1 |
|
| 2013 |
Khoei MA, Masson GS, Perrinet LU. Motion-based prediction explains the role of tracking in motion extrapolation. Journal of Physiology, Paris. 107: 409-20. PMID 24036184 DOI: 10.1016/j.jphysparis.2013.08.001 |
1 |
|
| 2012 |
Adams RA, Perrinet LU, Friston K. Smooth pursuit and visual occlusion: active inference and oculomotor control in schizophrenia. Plos One. 7: e47502. PMID 23110076 DOI: 10.1371/journal.pone.0047502 |
1 |
|
| 2012 |
Simoncini C, Perrinet LU, Montagnini A, Mamassian P, Masson GS. More is not always better: adaptive gain control explains dissociation between perception and action. Nature Neuroscience. 15: 1596-603. PMID 23023292 DOI: 10.1038/nn.3229 |
1 |
|
| 2012 |
Crook SM, Bednar JA, Berger S, Cannon R, Davison AP, Djurfeldt M, Eppler J, Kriener B, Furber S, Graham B, Plesser HE, Schwabe L, Smith L, Steuber V, van Albada S. Creating, documenting and sharing network models. Network (Bristol, England). 23: 131-49. PMID 22994683 DOI: 10.3109/0954898X.2012.722743 |
1 |
|
| 2012 |
Perrinet LU, Masson GS. Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. 24: 2726-50. PMID 22734489 DOI: 10.1162/NECO_a_00332 |
1 |
|
| 2012 |
Leon PS, Vanzetta I, Masson GS, Perrinet LU. Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology. 107: 3217-26. PMID 22423003 DOI: 10.1152/jn.00737.2011 |
1 |
|
| 2012 |
Bednar JA. Building a mechanistic model of the development and function of the primary visual cortex. Journal of Physiology, Paris. 106: 194-211. PMID 22343520 DOI: 10.1016/j.jphysparis.2011.12.001 |
1 |
|
| 2012 |
Masson GS, Perrinet LU. The behavioral receptive field underlying motion integration for primate tracking eye movements. Neuroscience and Biobehavioral Reviews. 36: 1-25. PMID 21421006 DOI: 10.1016/j.neubiorev.2011.03.009 |
1 |
|
| 2012 |
Bednar JA, Miikkulainen R. Constructing visual function through prenatal and postnatal learning Neuroconstructivism. 2. DOI: 10.1093/acprof:oso/9780198529934.003.0002 |
1 |
|
| 2012 |
Bednar JA. Visual cortex as a general-purpose information-processing device Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7583: 480-485. DOI: 10.1007/978-3-642-33863-2_49 |
1 |
|
| 2011 |
Wilson SP, Bednar JA, Prescott TJ, Mitchinson B. Neural computation via neural geometry: a place code for inter-whisker timing in the barrel cortex? Plos Computational Biology. 7: e1002188. PMID 22022245 DOI: 10.1371/journal.pcbi.1002188 |
1 |
|
| 2011 |
Zhao C, Seriès P, Hancock PJ, Bednar JA. Similar neural adaptation mechanisms underlying face gender and tilt aftereffects. Vision Research. 51: 2021-30. PMID 21810438 DOI: 10.1016/j.visres.2011.07.014 |
1 |
|
| 2011 |
Antolík J, Bednar JA. Development of maps of simple and complex cells in the primary visual cortex. Frontiers in Computational Neuroscience. 5: 17. PMID 21559067 DOI: 10.3389/fncom.2011.00017 |
1 |
|
| 2011 |
Bogadhi AR, Montagnini A, Mamassian P, Perrinet LU, Masson GS. Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference. Vision Research. 51: 867-80. PMID 20974165 DOI: 10.1016/j.visres.2010.10.021 |
1 |
|
| 2010 |
Kremkow J, Perrinet LU, Masson GS, Aertsen A. Functional consequences of correlated excitatory and inhibitory conductances in cortical networks. Journal of Computational Neuroscience. 28: 579-94. PMID 20490645 DOI: 10.1007/s10827-010-0240-9 |
1 |
|
| 2010 |
Perrinet LU. Role of homeostasis in learning sparse representations. Neural Computation. 22: 1812-36. PMID 20235818 DOI: 10.1162/neco.2010.05-08-795 |
1 |
|
| 2010 |
Wilson SP, Law JS, Mitchinson B, Prescott TJ, Bednar JA. Modeling the emergence of whisker direction maps in rat barrel cortex. Plos One. 5: e8778. PMID 20107500 DOI: 10.1371/journal.pone.0008778 |
1 |
|
| 2009 |
Bednar JA. Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components. Frontiers in Neuroinformatics. 3: 8. PMID 19352443 DOI: 10.3389/neuro.11.008.2009 |
1 |
|
| 2009 |
Papoutsi M, de Zwart JA, Jansma JM, Pickering MJ, Bednar JA, Horwitz B. From phonemes to articulatory codes: an fMRI study of the role of Broca's area in speech production. Cerebral Cortex (New York, N.Y. : 1991). 19: 2156-65. PMID 19181696 DOI: 10.1093/cercor/bhn239 |
1 |
|
| 2008 |
Barthélemy FV, Perrinet LU, Castet E, Masson GS. Dynamics of distributed 1D and 2D motion representations for short-latency ocular following. Vision Research. 48: 501-22. PMID 18221979 DOI: 10.1016/j.visres.2007.10.020 |
1 |
|
| 2007 |
Perrinet LU, Masson GS. Modeling spatial integration in the ocular following response using a probabilistic framework. Journal of Physiology, Paris. 101: 46-55. PMID 18042358 DOI: 10.1016/j.jphysparis.2007.10.011 |
1 |
|
| 2007 |
Valsalam VK, Bednar JA, Miikkulainen R. Developing complex systems using evolved pattern generators Ieee Transactions On Evolutionary Computation. 11: 181-198. DOI: 10.1109/TEVC.2006.890272 |
1 |
|
| 2006 |
Jegelka S, Bednar JA, Miikkulainen R. Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1 Neurocomputing. 69: 1291-1296. DOI: 10.1016/j.neucom.2005.12.094 |
1 |
|
| 2006 |
Bednar JA, Miikkulainen R. Joint maps for orientation, eye, and direction preference in a self-organizing model of V1 Neurocomputing. 69: 1272-1276. DOI: 10.1016/j.neucom.2005.12.090 |
1 |
|
| 2005 |
Valsalam V, Bednar J, Miikkulainen R. Constructing good learners using evolved pattern generators Gecco 2005 - Genetic and Evolutionary Computation Conference. 11-18. DOI: 10.1145/1068009.1068012 |
1 |
|
| 2005 |
Bednar JA, De Paula JB, Miikkulainen R. Self-organization of color opponent receptive fields and laterally connected orientation maps Neurocomputing. 65: 69-76. DOI: 10.1016/j.neucom.2004.10.055 |
1 |
|
| 2005 |
Miikkulainen R, Bednar JA, Choe Y, Sirosh J. Computational maps in the visual cortex Computational Maps in the Visual Cortex. 1-538. DOI: 10.1007/0-387-28806-6 |
1 |
|
| 2004 |
Bednar JA, Kelkar A, Miikkulainen R. Scaling self-organizing maps to model large cortical networks. Neuroinformatics. 2: 275-302. PMID 15365192 DOI: 10.1385/NI:2:3:275 |
1 |
|
| 2004 |
Bednar JA, Choe Y, De Paula J, Miikkulainen R, Provost J, Tversky T. Modeling cortical maps with Topographica Neurocomputing. 58: 1129-1135. DOI: 10.1016/j.neucom.2004.01.177 |
1 |
|
| 2004 |
Bednar JA, Miikkulainen R. Prenatal and postnatal development of laterally connected orientation maps Neurocomputing. 58: 985-992. DOI: 10.1016/j.neucom.2004.01.156 |
1 |
|
| 2003 |
Bednar JA, Miikkulainen R. Learning innate face preferences. Neural Computation. 15: 1525-57. PMID 12816565 DOI: 10.1162/089976603321891792 |
1 |
|
| 2003 |
Bednar JA, Miikkulainen R. Self-organization of spatiotemporal receptive fields and laterally connected direction and orientation maps Neurocomputing. 52: 473-480. DOI: 10.1016/S0925-2312(02)00735-X |
1 |
|
| 2002 |
Bednar JA, Kelkar A, Miikkulainen R. Modeling large cortical networks with growing self-organizing maps Neurocomputing. 44: 315-321. DOI: 10.1016/S0925-2312(02)00358-2 |
1 |
|
| 2000 |
Bednar JA, Miikkulainen R. Tilt aftereffects in a self-organizing model of the primary visual cortex. Neural Computation. 12: 1721-40. PMID 10935924 |
1 |
|
| 2000 |
Bednar JA. Internally-generated activity, non-episodic memory, and emotional salience in sleep Behavioral and Brain Sciences. 23: 908-909. DOI: 10.1017/S0140525X0023402X |
1 |
|
| 1997 |
Miikkulainen R, Bednar JA, Choe Y, Sirosh J. Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex Psychology of Learning and Motivation - Advances in Research and Theory. 36: 257-308. DOI: 10.1016/S0079-7421(08)60286-8 |
1 |
|
| Show low-probability matches. |
