| Year |
Citation |
Score |
| 2025 |
Rhee JY, Echavarría C, Soucy E, Greenwood J, Masís JA, Cox DD. Neural correlates of visual object recognition in rats. Cell Reports. 44: 115461. PMID 40153435 DOI: 10.1016/j.celrep.2025.115461 |
0.783 |
|
| 2023 |
Masís J, Chapman T, Rhee JY, Cox DD, Saxe AM. Strategically managing learning during perceptual decision making. Elife. 12. PMID 36786427 DOI: 10.7554/eLife.64978 |
0.746 |
|
| 2020 |
Guitchounts G, Masís J, Wolff SBE, Cox D. Encoding of 3D Head Orienting Movements in the Primary Visual Cortex. Neuron. PMID 32783881 DOI: 10.1016/J.Neuron.2020.07.014 |
0.766 |
|
| 2020 |
Lotter W, Kreiman G, Cox D. A neural network trained for prediction mimics diverse features of biological neurons and perception Nature Machine Intelligence. 2: 210-219. DOI: 10.1038/s42256-020-0170-9 |
0.376 |
|
| 2019 |
Farhi SL, Parot VJ, Grama A, Yamagata M, Abdelfattah AS, Adam Y, Lou S, Jun Kim J, Campbell RE, Cox DD, Cohen AE. Wide-area all-optical neurophysiology in acute brain slices. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30952812 DOI: 10.1523/Jneurosci.0168-19.2019 |
0.763 |
|
| 2018 |
Masis J, Mankus D, Wolff SBE, Guitchounts G, Joesch M, Cox DD. A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains. Journal of Visualized Experiments : Jove. PMID 30474629 DOI: 10.3791/58585 |
0.751 |
|
| 2018 |
Tang H, Schrimpf M, Lotter W, Moerman C, Paredes A, Ortega Caro J, Hardesty W, Cox D, Kreiman G. Recurrent computations for visual pattern completion. Proceedings of the National Academy of Sciences of the United States of America. PMID 30104363 DOI: 10.1073/Pnas.1719397115 |
0.743 |
|
| 2018 |
Skocek O, Nöbauer T, Weilguny L, Traub FM, Xia CN, Molodtsov MI, Grama A, Yamagata M, Aharoni D, Cox DD, Golshani P, Vaziri A. Author Correction: High-speed volumetric imaging of neuronal activity in freely moving rodents. Nature Methods. PMID 29786093 DOI: 10.1038/S41592-018-0034-Y |
0.745 |
|
| 2018 |
Skocek O, Nöbauer T, Weilguny L, Martínez Traub F, Xia CN, Molodtsov MI, Grama A, Yamagata M, Aharoni D, Cox DD, Golshani P, Vaziri A. High-speed volumetric imaging of neuronal activity in freely moving rodents. Nature Methods. PMID 29736000 DOI: 10.1038/S41592-018-0008-0 |
0.764 |
|
| 2018 |
Fong RC, Scheirer WJ, Cox DD. Using human brain activity to guide machine learning. Scientific Reports. 8: 5397. PMID 29599461 DOI: 10.1038/s41598-018-23618-6 |
0.607 |
|
| 2018 |
Masís J, Mankus D, Wolff SBE, Guitchounts G, Joesch M, Cox DD. A micro-CT-based method for quantitative brain lesion characterization and electrode localization. Scientific Reports. 8: 5184. PMID 29581439 DOI: 10.1038/S41598-018-23247-Z |
0.759 |
|
| 2017 |
Isik L, Lotter W, Crone N, Cox D, Kanwisher N, Andreson W, Kreiman G. Task dependent modulation before, during and after visually evoked responses in human intracranial recordings Journal of Vision. 17: 983. DOI: 10.1167/17.10.983 |
0.317 |
|
| 2015 |
Zoccolan D, Cox DD, Benucci A. Editorial: What can simple brains teach us about how vision works. Frontiers in Neural Circuits. 9: 51. PMID 26483639 DOI: 10.3389/fncir.2015.00051 |
0.793 |
|
| 2015 |
Papa J, Rosa G, Costa K, Marana A, Scheirer W, Cox D. On the model selection of Bernoulli restricted Boltzmann machines through harmony search Gecco 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. 1449-1450. DOI: 10.1145/2739482.2764628 |
0.56 |
|
| 2015 |
Lowry S, Sunderhauf N, Newman P, Leonard JJ, Cox D, Corke P, Milford MJ. Visual Place Recognition: A Survey Ieee Transactions On Robotics. DOI: 10.1109/Tro.2015.2496823 |
0.395 |
|
| 2015 |
Bergstra J, Komer B, Eliasmith C, Yamins D, Cox DD. Hyperopt: A Python library for model selection and hyperparameter optimization Computational Science and Discovery. 8. DOI: 10.1088/1749-4699/8/1/014008 |
0.679 |
|
| 2015 |
Bergstra J, Pinto N, Cox DD. SkData: Data sets and algorithm evaluation protocols in Python Computational Science and Discovery. 8. DOI: 10.1088/1749-4699/8/1/014007 |
0.436 |
|
| 2015 |
Papa JP, Rosa GH, Marana AN, Scheirer W, Cox DD. Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques Journal of Computational Science. 9: 14-18. DOI: 10.1016/J.Jocs.2015.04.014 |
0.593 |
|
| 2015 |
Papa JP, Scheirer W, Cox DD. Fine-tuning Deep Belief Networks using Harmony Search Applied Soft Computing Journal. DOI: 10.1016/J.Asoc.2015.08.043 |
0.581 |
|
| 2014 |
Scheirer WJ, Anthony SE, Nakayama K, Cox DD. Perceptual Annotation: Measuring Human Vision to Improve Computer Vision. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1679-86. PMID 26353347 DOI: 10.1109/Tpami.2013.2297711 |
0.625 |
|
| 2014 |
Cox DD. Do we understand high-level vision? Current Opinion in Neurobiology. 25: 187-93. PMID 24552691 DOI: 10.1016/j.conb.2014.01.016 |
0.321 |
|
| 2014 |
Scheirer WJ, Anthony SE, Nakayama K, Cox DD. Perceptual annotation: Measuring human vision to improve computer vision Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1679-1686. DOI: 10.1109/TPAMI.2013.2297711 |
0.591 |
|
| 2014 |
Chiachia G, Falcão AX, Pinto N, Rocha A, Cox D. Learning person-specific representations from faces in the wild Ieee Transactions On Information Forensics and Security. 9: 2089-2099. DOI: 10.1109/TIFS.2014.2359543 |
0.56 |
|
| 2014 |
Milford M, Scheirer W, Vig E, Glover A, Baumann O, Mattingley J, Cox D. Condition-invariant, Top-down visual place recognition Proceedings - Ieee International Conference On Robotics and Automation. 5571-5577. DOI: 10.1109/ICRA.2014.6907678 |
0.631 |
|
| 2014 |
Milford M, Vig E, Scheirer W, Cox D. Vision-based simultaneous localization and mapping in changing outdoor environments Journal of Field Robotics. 31: 814-836. DOI: 10.1002/Rob.21532 |
0.644 |
|
| 2013 |
Milford M, Vig E, Scheirer W, Cox D. Towards condition-invariant, top-down visual place recognition Australasian Conference On Robotics and Automation, Acra. |
0.631 |
|
| 2012 |
Chiachia G, Pinto N, Schwartz WR, Rocha A, Falcão AX, Cox D. Person-specific subspace analysis for unconstrained familiar face identification Bmvc 2012 - Electronic Proceedings of the British Machine Vision Conference 2012. DOI: 10.5244/C.26.101 |
0.432 |
|
| 2012 |
Bergstra J, Pinto N, Cox D. Machine learning for predictive auto-tuning with boosted regression trees 2012 Innovative Parallel Computing, Inpar 2012. DOI: 10.1109/InPar.2012.6339587 |
0.42 |
|
| 2012 |
Pinto N, Cox DD. High-throughput-derived biologically-inspired features for unconstrained face recognition Image and Vision Computing. 30: 159-168. DOI: 10.1016/j.imavis.2011.12.009 |
0.458 |
|
| 2012 |
Pinto N, Cox DD. GPU Metaprogramming: A Case Study in Biologically Inspired Machine Vision Gpu Computing Gems Jade Edition. 457-471. DOI: 10.1016/B978-0-12-385963-1.00033-2 |
0.428 |
|
| 2012 |
Pinto N, Cox D. An evaluation of the invariance properties of a biologically-inspired system for unconstrained face recognition Lecture Notes of the Institute For Computer Sciences, Social-Informatics and Telecommunications Engineering. 87: 505-518. DOI: 10.1007/978-3-642-32615-8_48 |
0.45 |
|
| 2011 |
Pinto N, Barhomi Y, Cox DD, DiCarlo JJ. Comparing state-of-the-art visual features on invariant object recognition tasks 2011 Ieee Workshop On Applications of Computer Vision, Wacv 2011. 463-470. DOI: 10.1109/WACV.2011.5711540 |
0.744 |
|
| 2011 |
Cox D, Pinto N. Beyond simple features: A large-scale feature search approach to unconstrained face recognition 2011 Ieee International Conference On Automatic Face and Gesture Recognition and Workshops, Fg 2011. 8-15. DOI: 10.1109/FG.2011.5771385 |
0.46 |
|
| 2011 |
Pinto N, Stone Z, Zickler T, Cox D. Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. DOI: 10.1109/CVPRW.2011.5981788 |
0.455 |
|
| 2010 |
Zoccolan D, Graham BJ, Cox DD. A self-calibrating, camera-based eye tracker for the recording of rodent eye movements. Frontiers in Neuroscience. 4: 193. PMID 21152259 DOI: 10.3389/fnins.2010.00193 |
0.758 |
|
| 2009 |
Pinto N, Doukhan D, DiCarlo JJ, Cox DD. A high-throughput screening approach to discovering good forms of biologically inspired visual representation. Plos Computational Biology. 5: e1000579. PMID 19956750 DOI: 10.1371/journal.pcbi.1000579 |
0.735 |
|
| 2009 |
Li N, Cox DD, Zoccolan D, DiCarlo JJ. What response properties do individual neurons need to underlie position and clutter "invariant" object recognition? Journal of Neurophysiology. 102: 360-76. PMID 19439676 DOI: 10.1152/jn.90745.2008 |
0.773 |
|
| 2009 |
Zoccolan D, Oertelt N, DiCarlo JJ, Cox DD. A rodent model for the study of invariant visual object recognition. Proceedings of the National Academy of Sciences of the United States of America. 106: 8748-53. PMID 19429704 DOI: 10.1073/pnas.0811583106 |
0.794 |
|
| 2009 |
Pinto N, DiCarlo JJ, Cox DD. How far can you get with a modern face recognition test set using only simple features? 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 2591-2598. DOI: 10.1109/CVPRW.2009.5206605 |
0.706 |
|
| 2008 |
Cox DD, DiCarlo JJ. Does learned shape selectivity in inferior temporal cortex automatically generalize across retinal position? The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 10045-55. PMID 18829962 DOI: 10.1523/JNEUROSCI.2142-08.2008 |
0.726 |
|
| 2008 |
Cox DD, Papanastassiou AM, Oreper D, Andken BB, Dicarlo JJ. High-resolution three-dimensional microelectrode brain mapping using stereo microfocal X-ray imaging. Journal of Neurophysiology. 100: 2966-76. PMID 18815345 DOI: 10.1152/jn.90672.2008 |
0.663 |
|
| 2008 |
Pinto N, Cox DD, DiCarlo JJ. Why is real-world visual object recognition hard? Plos Computational Biology. 4: e27. PMID 18225950 DOI: 10.1371/journal.pcbi.0040027 |
0.759 |
|
| 2007 |
Balas B, Cox D, Conwell E. The effect of real-world personal familiarity on the speed of face information processing Plos One. 2. PMID 18030351 DOI: 10.1371/Journal.Pone.0001223 |
0.326 |
|
| 2007 |
DiCarlo JJ, Cox DD. Untangling invariant object recognition. Trends in Cognitive Sciences. 11: 333-41. PMID 17631409 DOI: 10.1016/j.tics.2007.06.010 |
0.721 |
|
| 2005 |
Zoccolan D, Cox DD, DiCarlo JJ. Multiple object response normalization in monkey inferotemporal cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 8150-64. PMID 16148223 DOI: 10.1523/JNEUROSCI.2058-05.2005 |
0.78 |
|
| 2005 |
Cox DD, Meier P, Oertelt N, DiCarlo JJ. 'Breaking' position-invariant object recognition. Nature Neuroscience. 8: 1145-7. PMID 16116453 DOI: 10.1038/nn1519 |
0.682 |
|
| 2004 |
Cox D, Meyers E, Sinha P. Contextually evoked object-specific responses in human visual cortex. Science (New York, N.Y.). 304: 115-7. PMID 15001712 DOI: 10.1126/Science.1093110 |
0.409 |
|
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