| Year |
Citation |
Score |
| 2020 |
Han Y, Roig G, Geiger G, Poggio T. Scale and translation-invariance for novel objects in human vision. Scientific Reports. 10: 1411. PMID 31996698 DOI: 10.1038/S41598-019-57261-6 |
0.412 |
|
| 2019 |
Han Y, Roig G, Geiger G, Poggio TA. Properties of invariant object recognition in human one-shot learning suggests a hierarchical architecture different from deep convolutional neural networks Journal of Vision. 19. DOI: 10.1167/19.10.28D |
0.36 |
|
| 2019 |
Anselmi F, Evangelopoulos G, Rosasco L, Poggio TA. Symmetry-adapted representation learning Pattern Recognition. 86: 201-208. DOI: 10.1016/J.Patcog.2018.07.025 |
0.655 |
|
| 2018 |
Tacchetti A, Isik L, Poggio TA. Invariant Recognition Shapes Neural Representations of Visual Input. Annual Review of Vision Science. PMID 30052494 DOI: 10.1146/annurev-vision-091517-034103 |
0.828 |
|
| 2017 |
Tacchetti A, Isik L, Poggio T. Invariant recognition drives neural representations of action sequences. Plos Computational Biology. 13: e1005859. PMID 29253864 DOI: 10.1371/Journal.Pcbi.1005859 |
0.828 |
|
| 2017 |
Isik L, Tacchetti A, Poggio TA. A fast, invariant representation for human action in the visual system. Journal of Neurophysiology. jn.00642.2017. PMID 29118198 DOI: 10.1152/Jn.00642.2017 |
0.799 |
|
| 2017 |
Roig G, Chen F, Boix X, Poggio T. Eccentricity Dependent Deep Neural Networks for Modeling Human Vision Journal of Vision. 17: 808-808. DOI: 10.1167/17.10.808 |
0.779 |
|
| 2017 |
Han Y, Roig G, Geiger G, Poggio T. On the Human Visual System Invariance to Translation and Scale Journal of Vision. 17: 471-471. DOI: 10.1167/17.10.471 |
0.345 |
|
| 2017 |
Poggio TA, Mhaskar H, Rosasco L, Miranda B, Liao Q. Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review International Journal of Automation and Computing. 14: 503-519. DOI: 10.1007/S11633-017-1054-2 |
0.627 |
|
| 2016 |
Leibo JZ, Liao Q, Anselmi F, Freiwald WA, Poggio T. View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation. Current Biology : Cb. PMID 27916522 DOI: 10.1016/J.Cub.2016.10.015 |
0.771 |
|
| 2016 |
Tan C, Poggio T. Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing. Plos One. 11: e0150980. PMID 26985989 DOI: 10.1371/Journal.Pone.0150980 |
0.757 |
|
| 2016 |
Poggio TA, Meyers EM. Turing++ Questions: A Test for the Science of (Human) Intelligence Ai Magazine. 37: 73-77. DOI: 10.1609/Aimag.V37I1.2641 |
0.327 |
|
| 2016 |
Anselmi F, Rosasco L, Poggio TA. On invariance and selectivity in representation learning Information and Inference: a Journal of the Ima. 5: 134-158. DOI: 10.1093/Imaiai/Iaw009 |
0.661 |
|
| 2015 |
Leibo JZ, Liao Q, Anselmi F, Poggio T. The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. Plos Computational Biology. 11: e1004390. PMID 26496457 DOI: 10.1371/Journal.Pcbi.1004390 |
0.761 |
|
| 2015 |
Tacchetti A, Isik L, Poggio T. Invariant representations for action recognition in the visual system Journal of Vision. 15: 558-558. DOI: 10.1167/15.12.558 |
0.818 |
|
| 2014 |
Isik L, Meyers EM, Leibo JZ, Poggio T. The dynamics of invariant object recognition in the human visual system. Journal of Neurophysiology. 111: 91-102. PMID 24089402 DOI: 10.1152/Jn.00394.2013 |
0.81 |
|
| 2014 |
Zhang C, Evangelopoulos G, Voinea S, Rosasco L, Poggio T. A deep representation for invariance and music classification Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6984-6988. DOI: 10.1109/ICASSP.2014.6854954 |
0.618 |
|
| 2014 |
Anselmi F, Leibo JZ, Rosasco L, Mutch J, Tacchetti A, Poggio T. Unsupervised learning of invariant representations Theoretical Computer Science. DOI: 10.1016/J.Tcs.2015.06.048 |
0.813 |
|
| 2014 |
Voinea S, Zhang C, Evangelopoulos G, Rosasco L, Poggio T. Word-level invariant representations from acoustic waveforms Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2385-2389. |
0.586 |
|
| 2014 |
Zhang C, Voinea S, Evangelopoulos G, Rosasco L, Poggio T. Phone classification by a hierarchy of invariant representation layers Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2346-2350. |
0.586 |
|
| 2014 |
Leibo JZ, Liao Q, Poggio T. Subtasks of unconstrained face recognition Visapp 2014 - Proceedings of the 9th International Conference On Computer Vision Theory and Applications. 2: 113-121. |
0.681 |
|
| 2013 |
Poggio T, Ullman S. Vision: are models of object recognition catching up with the brain? Annals of the New York Academy of Sciences. 1305: 72-82. PMID 23773126 DOI: 10.1111/nyas.12148 |
0.701 |
|
| 2013 |
Poggio T, Serre T. Models of visual cortex Scholarpedia. 8: 3516. DOI: 10.4249/scholarpedia.3516 |
0.717 |
|
| 2013 |
Villa S, Rosasco L, Poggio T. On learnability, complexity and stability Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik. 59-69. DOI: 10.1007/978-3-642-41136-6_7 |
0.549 |
|
| 2013 |
Tan C, Leibo JZ, Poggio T. Throwing down the visual intelligence gauntlet Studies in Computational Intelligence. 411: 1-15. DOI: 10.1007/978-3-642-28661-2-1 |
0.802 |
|
| 2013 |
Tan C, Singer JM, Serre T, Sheinberg D, Poggio TA. Neural representation of action sequences: How far can a simple snippet-matching model take us? Advances in Neural Information Processing Systems. |
0.784 |
|
| 2013 |
Liao Q, Leibo JZ, Poggio T. Learning invariant representations and applications to face verification Advances in Neural Information Processing Systems. |
0.705 |
|
| 2012 |
Isik L, Leibo JZ, Poggio T. Learning and disrupting invariance in visual recognition with a temporal association rule. Frontiers in Computational Neuroscience. 6: 37. PMID 22754523 DOI: 10.3389/Fncom.2012.00037 |
0.816 |
|
| 2012 |
Sinha P, Poggio T. Response from sinha and poggio. Trends in Cognitive Sciences. 1: 44. PMID 21223854 DOI: 10.1016/S1364-6613(99)80015-1 |
0.445 |
|
| 2012 |
Poggio T. The computational magic of the ventral stream Nature Precedings. 6: 1-1. DOI: 10.1038/Npre.2012.6117.3 |
0.415 |
|
| 2012 |
Jhuang H, Garrote E, Yu X, Khilnani V, Poggio T, Steele AD, Serre T. Erratum: Corrigendum: Automated home-cage behavioural phenotyping of mice Nature Communications. 3. DOI: 10.1038/Ncomms1399 |
0.629 |
|
| 2012 |
Ezzat T, Geiger G, Poggio T. A trainable videorealistic speech animation system Audiovisual Speech Processing. 271-308. DOI: 10.1017/CBO9780511843891.013 |
0.63 |
|
| 2012 |
Mroueh Y, Poggio T, Rosasco L, Slotine JJE. Multiclass learning with simplex coding Advances in Neural Information Processing Systems. 4: 2789-2797. |
0.577 |
|
| 2012 |
Canas GD, Poggio T, Rosasco LA. Learning manifolds with k-means and k-flats Advances in Neural Information Processing Systems. 3: 2465-2473. |
0.557 |
|
| 2011 |
Zhang Y, Meyers EM, Bichot NP, Serre T, Poggio TA, Desimone R. Object decoding with attention in inferior temporal cortex. Proceedings of the National Academy of Sciences of the United States of America. 108: 8850-5. PMID 21555594 DOI: 10.1073/pnas.1100999108 |
0.809 |
|
| 2011 |
Tan C, Serre T, Poggio T. How does the visual system create complex shape and motion features? Journal of Vision. 11: 888-888. DOI: 10.1167/11.11.888 |
0.802 |
|
| 2011 |
Jhuang H, Garrote E, Edelman N, Poggio T, Steele A, Serre T. Trainable, vision-based automated home cage behavioral phenotyping Acm International Conference Proceeding Series. DOI: 10.1145/1931344.1931377 |
0.615 |
|
| 2011 |
Chikkerur S, Serre T, Tan C, Poggio T. Attention as a Bayesian inference process Proceedings of Spie - the International Society For Optical Engineering. 7865. DOI: 10.1117/12.876734 |
0.808 |
|
| 2011 |
Kuehne H, Jhuang H, Garrote E, Poggio T, Serre T. HMDB: A large video database for human motion recognition Proceedings of the Ieee International Conference On Computer Vision. 2556-2563. DOI: 10.1109/ICCV.2011.6126543 |
0.636 |
|
| 2011 |
Poggio TA. The Computational Magic Of The Ventral Stream: Towards A Theory Nature Precedings. DOI: 10.1038/Npre.2011.6117.1 |
0.395 |
|
| 2011 |
Leibo JZ, Mutch J, Poggio T. Learning to discount transformations as the computational goal of visual cortex Nature Precedings. DOI: 10.1038/Npre.2011.6078.1 |
0.759 |
|
| 2011 |
Leibo JZ, Mutch J, Poggio T. How can cells in the anterior medial face patch be viewpoint invariant Nature Precedings. 6: 1-1. DOI: 10.1038/Npre.2011.5845.1 |
0.723 |
|
| 2011 |
Leibo JZ, Mutch J, Poggio T. Why the brain separates face recognition from object recognition Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.699 |
|
| 2010 |
Jhuang H, Garrote E, Mutch J, Yu X, Khilnani V, Poggio T, Steele AD, Serre T. Automated home-cage behavioural phenotyping of mice. Nature Communications. 1: 68. PMID 20842193 DOI: 10.1038/Ncomms1064 |
0.65 |
|
| 2010 |
Roy JE, Riesenhuber M, Poggio T, Miller EK. Prefrontal cortex activity during flexible categorization. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 8519-28. PMID 20573899 DOI: 10.1523/Jneurosci.4837-09.2010 |
0.665 |
|
| 2010 |
Chikkerur S, Serre T, Tan C, Poggio T. What and where: a Bayesian inference theory of attention. Vision Research. 50: 2233-47. PMID 20493206 DOI: 10.1016/J.Visres.2010.05.013 |
0.813 |
|
| 2010 |
Poggio T, Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science (New York, N.Y.). 247: 978-82. PMID 17776454 DOI: 10.1126/Science.247.4945.978 |
0.309 |
|
| 2010 |
Serre T, Reddy L, Tsuchyia N, Poggio T, Fabre-Thorpe M, Koch C. Reading the mind's eye: Decoding object information during mental imagery from fMRI patterns Journal of Vision. 9: 782-782. DOI: 10.1167/9.8.782 |
0.752 |
|
| 2010 |
Tan C, Serre T, Chikkerur S, Poggio T. Feature-based and contextual guidance mechanisms in complex natural visual search Journal of Vision. 9: 1189-1189. DOI: 10.1167/9.8.1189 |
0.805 |
|
| 2010 |
Tan C, Serre T, Kreiman G, Poggio T. Implicit coding of location, scale and configural information in feedforward hierarchical models of the visual cortex Journal of Vision. 8: 43-43. DOI: 10.1167/8.6.43 |
0.796 |
|
| 2010 |
Masquelier T, Serre T, Thorpe S, Poggio T. Learning simple and complex cells-like receptive fields from natural images: a plausibility proof Journal of Vision. 7: 81-81. DOI: 10.1167/7.9.81 |
0.674 |
|
| 2010 |
Kreiman G, Serre T, Poggio T. On the limits of feed-forward processing in visual object recognition Journal of Vision. 7: 1041-1041. DOI: 10.1167/7.9.1041 |
0.825 |
|
| 2010 |
Serre T, Oliva A, Poggio T. Feedforward theories of visual cortex predict human performance in rapid categorization Journal of Vision. 6: 615-615. DOI: 10.1167/6.6.615 |
0.71 |
|
| 2010 |
Cadieu C, Kouh M, Riesenhuber M, Poggio T. Shape representation in V4: Investigating position-specific tuning for boundary conformation with the standard model of object recognition Journal of Vision. 5: 671-671. DOI: 10.1167/5.8.671 |
0.801 |
|
| 2010 |
Sigala R, Serre T, Poggio T, Giese MA. Learning mid-level motion features for the recognition of body movements Journal of Vision. 5: 26-26. DOI: 10.1167/5.8.26 |
0.752 |
|
| 2010 |
Tan C, Singer J, Serre T, Sheinberg D, Poggio T. How STS recognizes actions: Predicting single-neuron responses in higher visual cortex Journal of Vision. 10: 935-935. DOI: 10.1167/10.7.935 |
0.791 |
|
| 2010 |
Serre T, Poggio T. A neuromorphic approach to computer vision Communications of the Acm. 53: 54-61. DOI: 10.1145/1831407.1831425 |
0.684 |
|
| 2010 |
Smale S, Rosasco L, Bouvrie J, Caponnetto A, Poggio T. Mathematics of the neural response Foundations of Computational Mathematics. 10: 67-91. DOI: 10.1007/S10208-009-9049-1 |
0.727 |
|
| 2009 |
Yokono JJ, Poggio T. Object recognition using boosted oriented filter based local descriptors Ieej Transactions On Electronics, Information and Systems. 129: 806-811+5. DOI: 10.1541/ieejeiss.129.806 |
0.366 |
|
| 2009 |
Bouvrie J, Rosasco L, Poggio T. On invariance in hierarchical models Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 162-170. |
0.581 |
|
| 2008 |
Meyers EM, Freedman DJ, Kreiman G, Miller EK, Poggio T. Dynamic population coding of category information in inferior temporal and prefrontal cortex. Journal of Neurophysiology. 100: 1407-19. PMID 18562555 DOI: 10.1152/jn.90248.2008 |
0.783 |
|
| 2008 |
Kouh M, Poggio T. A canonical neural circuit for cortical nonlinear operations. Neural Computation. 20: 1427-51. PMID 18254695 DOI: 10.1162/neco.2008.02-07-466 |
0.782 |
|
| 2008 |
Bouvrie J, Ezzat T, Poggio T. Localized spectro-temporal cepstral analysis of speech Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4733-4736. DOI: 10.1109/ICASSP.2008.4518714 |
0.634 |
|
| 2007 |
Zoccolan D, Kouh M, Poggio T, DiCarlo JJ. Trade-off between object selectivity and tolerance in monkey inferotemporal cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 12292-307. PMID 17989294 DOI: 10.1523/JNEUROSCI.1897-07.2007 |
0.799 |
|
| 2007 |
Serre T, Kreiman G, Kouh M, Cadieu C, Knoblich U, Poggio T. A quantitative theory of immediate visual recognition. Progress in Brain Research. 165: 33-56. PMID 17925239 DOI: 10.1016/S0079-6123(06)65004-8 |
0.805 |
|
| 2007 |
Cadieu C, Kouh M, Pasupathy A, Connor CE, Riesenhuber M, Poggio T. A model of V4 shape selectivity and invariance. Journal of Neurophysiology. 98: 1733-50. PMID 17596412 DOI: 10.1152/Jn.01265.2006 |
0.798 |
|
| 2007 |
Serre T, Oliva A, Poggio T. A feedforward architecture accounts for rapid categorization. Proceedings of the National Academy of Sciences of the United States of America. 104: 6424-9. PMID 17404214 DOI: 10.1073/pnas.0700622104 |
0.745 |
|
| 2007 |
Serre T, Wolf L, Bileschi S, Riesenhuber M, Poggio T. Robust object recognition with cortex-like mechanisms. Ieee Transactions On Pattern Analysis and Machine Intelligence. 29: 411-26. PMID 17224612 DOI: 10.1109/Tpami.2007.56 |
0.81 |
|
| 2007 |
Jhuang H, Serre T, Wolf L, Poggio T. A biologically inspired system for action recognition Proceedings of the Ieee International Conference On Computer Vision. DOI: 10.1109/ICCV.2007.4408988 |
0.644 |
|
| 2007 |
Ezzat T, Bouvrie J, Poggio T. AM-FM demodulation of spectrograms using localized 2D max-gabor analysis Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4: IV1061-IV1064. DOI: 10.1109/ICASSP.2007.367256 |
0.625 |
|
| 2007 |
Heisele B, Serre T, Poggio T. A component-based framework for face detection and identification International Journal of Computer Vision. 74: 167-181. DOI: 10.1007/s11263-006-0006-z |
0.676 |
|
| 2007 |
Ezzat T, Bouvrie J, Poggio T. Spectro-temporal analysis of speech using 2-D gabor filters International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007. 4: 2308-2311. |
0.633 |
|
| 2007 |
Knoblich U, Bouvrie J, Poggio T. Biophysical models of neural computation: Max and tuning circuits Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4845: 164-189. |
0.728 |
|
| 2006 |
Kreiman G, Hung CP, Kraskov A, Quiroga RQ, Poggio T, DiCarlo JJ. Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex. Neuron. 49: 433-45. PMID 16446146 DOI: 10.1016/j.neuron.2005.12.019 |
0.79 |
|
| 2006 |
Freedman DJ, Riesenhuber M, Poggio T, Miller EK. Experience-dependent sharpening of visual shape selectivity in inferior temporal cortex. Cerebral Cortex (New York, N.Y. : 1991). 16: 1631-44. PMID 16400159 DOI: 10.1093/Cercor/Bhj100 |
0.783 |
|
| 2006 |
Mukherjee S, Niyogi P, Poggio T, Rifkin R. Learning theory: Stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization Advances in Computational Mathematics. 25: 161-193. DOI: 10.1007/s10444-004-7634-z |
0.701 |
|
| 2006 |
Ezzat T, Bouvrie J, Poggio T. Max-gabor analysis and synthesis of spectrograms Interspeech 2006 and 9th International Conference On Spoken Language Processing, Interspeech 2006 - Icslp. 5: 2494-2497. |
0.621 |
|
| 2005 |
Hung CP, Kreiman G, Poggio T, DiCarlo JJ. Fast readout of object identity from macaque inferior temporal cortex. Science (New York, N.Y.). 310: 863-6. PMID 16272124 DOI: 10.1126/science.1117593 |
0.802 |
|
| 2005 |
Yeo GW, Van Nostrand E, Holste D, Poggio T, Burge CB. Identification and analysis of alternative splicing events conserved in human and mouse. Proceedings of the National Academy of Sciences of the United States of America. 102: 2850-5. PMID 15708978 DOI: 10.1073/Pnas.0409742102 |
0.64 |
|
| 2005 |
Serre T, Poggio T. Standard model v2.0: How visual cortex might learn a universal dictionary of shape components Journal of Vision. 5: 742-742. DOI: 10.1167/5.8.742 |
0.721 |
|
| 2005 |
Walther D, Serre T, Poggio T, Koch C. Modeling feature sharing between object detection and top-down attention Journal of Vision. 5: 1041-1041. DOI: 10.1167/5.8.1041 |
0.82 |
|
| 2005 |
Rakhlin A, Mukherjee S, Poggio T. Stability Results In Learning Theory Analysis and Applications. 3: 397-417. DOI: 10.1142/S0219530505000650 |
0.702 |
|
| 2005 |
Serre T, Wolf L, Poggio T. Object recognition with features inspired by visual cortex Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 994-1000. DOI: 10.1109/CVPR.2005.254 |
0.721 |
|
| 2005 |
Sigala R, Serre T, Poggio T, Giese M. Learning features of intermediate complexity for the recognition of biological motion Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3696: 241-246. DOI: 10.1007/11550822_39 |
0.728 |
|
| 2005 |
Poggio T, Smale S. The mathematics of learning: Dealing with data Proceedings of 2005 International Conference On Neural Networks and Brain Proceedings, Icnnb'05. 1: PL-5-PL-23. |
0.435 |
|
| 2005 |
Ezzat T, Meyers E, Glass J, Poggio T. Morphing spectral envelopes using audio flow 9th European Conference On Speech Communication and Technology. 2545-2548. |
0.623 |
|
| 2004 |
Poggio T, Bizzi E. Generalization in vision and motor control. Nature. 431: 768-74. PMID 15483597 DOI: 10.1038/nature03014 |
0.326 |
|
| 2004 |
Lampl I, Ferster D, Poggio T, Riesenhuber M. Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex. Journal of Neurophysiology. 92: 2704-13. PMID 15269230 DOI: 10.1152/Jn.00060.2004 |
0.666 |
|
| 2004 |
Poggio T, Rifkin R, Mukherjee S, Niyogi P. General conditions for predictivity in learning theory. Nature. 428: 419-22. PMID 15042089 DOI: 10.1038/nature02341 |
0.712 |
|
| 2004 |
Serre TR, Poggio T, Sinha P. Face detection by humans and machines Journal of Vision. 4: 438-438. DOI: 10.1167/4.8.438 |
0.543 |
|
| 2004 |
Ezzat T, Geiger G, Poggio T. Trainable videorealistic speech animation Proceedings - Sixth Ieee International Conference On Automatic Face and Gesture Recognition. 57-64. DOI: 10.1109/AFGR.2004.1301509 |
0.63 |
|
| 2003 |
Freedman DJ, Riesenhuber M, Poggio T, Miller EK. A comparison of primate prefrontal and inferior temporal cortices during visual categorization. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 23: 5235-46. PMID 12832548 DOI: 10.1523/Jneurosci.23-12-05235.2003 |
0.79 |
|
| 2003 |
Giese MA, Poggio T. Neural mechanisms for the recognition of biological movements. Nature Reviews. Neuroscience. 4: 179-92. PMID 12612631 DOI: 10.1038/Nrn1057 |
0.585 |
|
| 2003 |
Geiger G, Ezzat T, Poggio T. Explicit and implicit perceptual discrimination of videorealistic speech Journal of Vision. 3: 773a. DOI: 10.1167/3.9.773 |
0.686 |
|
| 2003 |
Rifkin R, Mukherjee S, Tamayo P, Ramaswamy S, Yeang CH, Angelo M, Reich M, Poggio T, Lander ES, Golub TR, Mesirov JP. An analytical method for multiclass molecular cancer classification Siam Review. 45: 706-723. DOI: 10.1137/S0036144502411986 |
0.556 |
|
| 2003 |
Blanz V, Basso C, Poggio T, Vetter T. Reanimating Faces in Images and Video Computer Graphics Forum. 22: 641-650. DOI: 10.1111/1467-8659.t01-1-00712 |
0.585 |
|
| 2003 |
Evgeniou T, Pontil M, Papageorgiou C, Poggio T. Image representations and feature selection for multimedia database search Ieee Transactions On Knowledge and Data Engineering. 15: 911-920. DOI: 10.1109/Tkde.2003.1209008 |
0.693 |
|
| 2003 |
Heisele B, Serre T, Prentice S, Poggio T. Hierarchical classification and feature reduction for fast face detection with support vector machines Pattern Recognition. 36: 2007-2017. DOI: 10.1016/S0031-3203(03)00062-1 |
0.672 |
|
| 2003 |
Nakajima C, Pontil M, Heisele B, Poggio T. Full-body person recognition system Pattern Recognition. 36: 1997-2006. DOI: 10.1016/S0031-3203(03)00061-X |
0.323 |
|
| 2002 |
Yu AJ, Giese MA, Poggio TA. Biophysiologically plausible implementations of the maximum operation. Neural Computation. 14: 2857-81. PMID 12487795 DOI: 10.1162/089976602760805313 |
0.73 |
|
| 2002 |
Freedman DJ, Riesenhuber M, Poggio T, Miller EK. Visual categorization and the primate prefrontal cortex: neurophysiology and behavior. Journal of Neurophysiology. 88: 929-41. PMID 12163542 DOI: 10.1152/Jn.2002.88.2.929 |
0.785 |
|
| 2002 |
Riesenhuber M, Poggio T. Neural mechanisms of object recognition. Current Opinion in Neurobiology. 12: 162-8. PMID 12015232 DOI: 10.1016/S0959-4388(02)00304-5 |
0.701 |
|
| 2002 |
Sinha P, Poggio T. 'United' we stand. Perception. 31: 133. PMID 11922119 DOI: 10.1068/p3101no |
0.494 |
|
| 2002 |
Heisele B, Verri A, Poggio T. Learning and vision machines Proceedings of the Ieee. 90: 1164-1176. DOI: 10.1109/JPROC.2002.801450 |
0.617 |
|
| 2002 |
Evgeniou T, Poggio T, Pontil M, Verri A. Regularization and statistical learning theory for data analysis Computational Statistics and Data Analysis. 38: 421-432. DOI: 10.1016/S0167-9473(01)00069-X |
0.774 |
|
| 2002 |
Heisele B, Serre T, Pontil M, Vetter T, Poggio T. Categorization by learning and combining object parts Advances in Neural Information Processing Systems. |
0.668 |
|
| 2002 |
Knoblich U, Riesenhuber M, Freedman DJ, Miller EK, Poggio T. Visual Categorization: How the Monkey Brain Does It Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2525: 273-281. |
0.793 |
|
| 2002 |
Serre T, Riesenhuber M, Louie J, Poggio T. On the role of object-specific features for real world object recognition in biological vision Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2525: 387-397. |
0.785 |
|
| 2002 |
Walther D, Itti L, Riesenhuber M, Poggio T, Koch C. Attentional selection for object recognition A gentle way Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2525: 472-479. |
0.793 |
|
| 2001 |
Ramaswamy S, Tamayo P, Rifkin R, Mukherjee S, Yeang CH, Angelo M, Ladd C, Reich M, Latulippe E, Mesirov JP, Poggio T, Gerald W, Loda M, Lander ES, Golub TR. Multiclass cancer diagnosis using tumor gene expression signatures. Proceedings of the National Academy of Sciences of the United States of America. 98: 15149-54. PMID 11742071 DOI: 10.1073/Pnas.211566398 |
0.543 |
|
| 2001 |
Freedman DJ, Riesenhuber M, Poggio T, Miller EK. Categorical representation of visual stimuli in the primate prefrontal cortex. Science (New York, N.Y.). 291: 312-6. PMID 11209083 DOI: 10.1126/Science.291.5502.312 |
0.786 |
|
| 2001 |
Mohan A, Papageorgiou C, Poggio T. Example-based object detection in images by components Ieee Transactions On Pattern Analysis and Machine Intelligence. 23: 349-361. DOI: 10.1109/34.917571 |
0.323 |
|
| 2001 |
Heisele B, Serre T, Mukherjee S, Poggio T. Feature reduction and hierarchy of classifiers for fast object detection in video images Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II18-II24. |
0.665 |
|
| 2001 |
Heisele B, Serre T, Pontil M, Poggio T. Component-based face detection Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I657-I662. |
0.629 |
|
| 2000 |
Riesenhuber M, Poggio T. Models of object recognition. Nature Neuroscience. 3: 1199-204. PMID 11127838 DOI: 10.1038/81479 |
0.707 |
|
| 2000 |
Gieses MA, Poggio T. Quantification and classification of locomotion patterns by spatio-temporal morphable models Versus. 27-34. DOI: 10.1109/Vs.2000.856855 |
0.326 |
|
| 2000 |
Evgeniou T, Pontil M, Poggio TA. Regularization Networks and Support Vector Machines Advances in Computational Mathematics. 13: 1-50. DOI: 10.1023/A:1018946025316 |
0.662 |
|
| 2000 |
Ezzat T, Poggio T. Visual speech synthesis by morphing visemes International Journal of Computer Vision. 38: 45-57. DOI: 10.1023/A:1008166717597 |
0.724 |
|
| 2000 |
Papageorgiou C, Poggio T. A Trainable System for Object Detection International Journal of Computer Vision. 38: 15-33. DOI: 10.1023/A:1008162616689 |
0.379 |
|
| 2000 |
Poggio T, Verri A. Introduction: Learning and vision at CBCL International Journal of Computer Vision. 38: 5-7. DOI: 10.1023/A:1008127215780 |
0.655 |
|
| 2000 |
Giese MA, Poggio T. Morphable models for the analysis and synthesis of complex motion patterns International Journal of Computer Vision. 38: 59-73. DOI: 10.1023/A:1008118801668 |
0.533 |
|
| 2000 |
Evgeniou T, Pontil M, Poggio T. Statistical Learning Theory: A primer International Journal of Computer Vision. 38: 9-13. DOI: 10.1023/A:1008110632619 |
0.661 |
|
| 2000 |
Riesenhuber M, Poggio T. CBF: A new framework for object categorization in cortex Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1811: 1-10. DOI: 10.1007/3-540-45482-9_1 |
0.688 |
|
| 1999 |
Riesenhuber M, Poggio T. Are cortical models really bound by the "binding problem"? Neuron. 24: 87-93, 111-25. PMID 10677029 DOI: 10.1016/S0896-6273(00)80824-7 |
0.626 |
|
| 1999 |
Riesenhuber M, Poggio T. Hierarchical models of object recognition in cortex. Nature Neuroscience. 2: 1019-25. PMID 10526343 DOI: 10.1038/14819 |
0.72 |
|
| 1999 |
Koch C, Poggio T. Predicting the visual world: silence is golden. Nature Neuroscience. 2: 9-10. PMID 10195172 DOI: 10.1038/4511 |
0.62 |
|
| 1998 |
Niyogi P, Girosi F, Poggio T. Incorporating prior information in machine learning by creating virtual examples Proceedings of the Ieee. 86: 2196-2208. DOI: 10.1109/5.726787 |
0.555 |
|
| 1998 |
Sung K-, Poggio T. Example-based learning for view-based human face detection Ieee Transactions On Pattern Analysis and Machine Intelligence. 20: 39-51. DOI: 10.1109/34.655648 |
0.354 |
|
| 1997 |
Jones MJ, Sinha P, Vetter T, Poggio T. Top-down learning of low-level vision tasks. Current Biology : Cb. 7: 991-4. PMID 9382836 DOI: 10.1016/S0960-9822(06)00419-2 |
0.619 |
|
| 1997 |
Schölkopf B, Sung KK, Burges CJC, Girosi F, Niyogi P, Poggio T, Vapnik V. Comparing support vector machines with gaussian kernels to radial basis function classifiers Ieee Transactions On Signal Processing. 45: 2758-2765. DOI: 10.1109/78.650102 |
0.589 |
|
| 1997 |
Vetter T, Poggio T. Linear object classes and image synthesis from a single example image Ieee Transactions On Pattern Analysis and Machine Intelligence. 19: 733-742. DOI: 10.1109/34.598230 |
0.347 |
|
| 1997 |
Jones MJ, Poggio T. Multidimensional morphable models: a framework for representing and matching object classes International Journal of Computer Vision. 29: 107-131. DOI: 10.1023/A:1008074226832 |
0.338 |
|
| 1996 |
Sinha P, Poggio T. Role of learning in three-dimensional form perception. Nature. 384: 460-3. PMID 8945472 DOI: 10.1038/384460a0 |
0.627 |
|
| 1996 |
Sinha P, Poggio T. I think I know that face... Nature. 384: 404. PMID 8945457 DOI: 10.1038/384404a0 |
0.542 |
|
| 1996 |
Beymer D, Poggio T. Image representations for visual learning. Science (New York, N.Y.). 272: 1905-9. PMID 8658162 DOI: 10.1126/Science.272.5270.1905 |
0.354 |
|
| 1996 |
Poggio T, Beymer D. Learning to see Ieee Spectrum. 33: 60-69. DOI: 10.1109/6.490058 |
0.4 |
|
| 1995 |
Fahle M, Edelman S, Poggio T. Fast perceptual learning in hyperacuity. Vision Research. 35: 3003-13. PMID 8533337 DOI: 10.1016/0042-6989(95)00044-Z |
0.673 |
|
| 1995 |
Vetter T, Hurlbert A, Poggio T. View-based models of 3D object recognition: invariance to imaging transformations. Cerebral Cortex (New York, N.Y. : 1991). 5: 261-9. PMID 7613081 DOI: 10.1093/cercor/5.3.261 |
0.748 |
|
| 1995 |
Logothetis NK, Pauls J, Poggio T. Shape representation in the inferior temporal cortex of monkeys. Current Biology : Cb. 5: 552-63. PMID 7583105 DOI: 10.1016/S0960-9822(95)00108-4 |
0.606 |
|
| 1994 |
Logothetis NK, Pauls J, Bülthoff HH, Poggio T. View-dependent object recognition by monkeys. Current Biology : Cb. 4: 401-14. PMID 7922354 DOI: 10.1016/S0960-9822(00)00089-0 |
0.579 |
|
| 1994 |
Vetter T, Poggio T, Bülthoff HH. The importance of symmetry and virtual views in three-dimensional object recognition. Current Biology : Cb. 4: 18-23. PMID 7922306 DOI: 10.1016/S0960-9822(00)00004-X |
0.402 |
|
| 1994 |
Vetter T, Poggio T. Symmetric 3D objects are an easy case for 2D object recognition. Spatial Vision. 8: 443-53. PMID 7772550 DOI: 10.1163/156856894X00107 |
0.314 |
|
| 1993 |
Brunelli R, Poggio T. Face recognition: features versus templates Ieee Transactions On Pattern Analysis and Machine Intelligence. 15: 1042-1052. DOI: 10.1109/34.254061 |
0.331 |
|
| 1993 |
Brunelli R, Poggio T. Caricatural effects in automated face perception Biological Cybernetics. 69: 235-241. DOI: 10.1007/Bf00198964 |
0.315 |
|
| 1992 |
Poggio T, Fahle M, Edelman S. Fast perceptual learning in visual hyperacuity. Science (New York, N.Y.). 256: 1018-21. PMID 1589770 DOI: 10.1126/Science.1589770 |
0.689 |
|
| 1992 |
EDELMAN S, POGGIO T. BRINGING THE GRANDMOTHER BACK INTO THE PICTURE: A MEMORY-BASED VIEW OF OBJECT RECOGNITION International Journal of Pattern Recognition and Artificial Intelligence. 6: 37-61. DOI: 10.1142/S0218001492000035 |
0.515 |
|
| 1992 |
Poggio T, Edelman S, Fahle M. Learning of visual modules from examples: A framework for understanding adaptive visual performance Cvgip: Image Understanding. 56: 22-30. DOI: 10.1016/1049-9660(92)90082-E |
0.682 |
|
| 1992 |
Poggio T, Stringa L. A project for an intelligent system: Vision and learning International Journal of Quantum Chemistry. 42: 727-739. DOI: 10.1002/QUA.560420413 |
0.304 |
|
| 1991 |
Edelman S, Poggio T. Models of object recognition. Current Opinion in Neurobiology. 1: 270-3. PMID 1821189 DOI: 10.1016/0959-4388(91)90089-P |
0.581 |
|
| 1991 |
Weems CC, Brown C, Webb JA, Poggio T, Kender JR. Parallel Processing in the DARPA Strategic Computing Vision Program Ieee Expert-Intelligent Systems and Their Applications. 6: 23-38. DOI: 10.1109/64.97789 |
0.302 |
|
| 1990 |
Poggio T, Edelman S. A network that learns to recognize three-dimensional objects. Nature. 343: 263-6. PMID 2300170 DOI: 10.1038/343263a0 |
0.559 |
|
| 1990 |
Poggio T. A theory of how the brain might work. Cold Spring Harbor Symposia On Quantitative Biology. 55: 899-910. PMID 2132866 DOI: 10.1101/Sqb.1990.055.01.084 |
0.335 |
|
| 1989 |
Edelman S, Poggio T. Integrating visual cues for object segmentation and recognition Optics News. 15: 8. DOI: 10.1364/On.15.5.000008 |
0.557 |
|
| 1989 |
Hurlbert AC, Poggio TA. Learning lightness algorithms Proceedings of Spie - the International Society For Optical Engineering. 1002: 242-249. DOI: 10.1117/12.960280 |
0.668 |
|
| 1989 |
Verri A, Poggio T. Motion field and optical flow: qualitative properties Ieee Transactions On Pattern Analysis and Machine Intelligence. 11: 490-498. DOI: 10.1109/34.24781 |
0.63 |
|
| 1988 |
Hurlbert AC, Poggio TA. Synthesizing a color algorithm from examples. Science (New York, N.Y.). 239: 482-5. PMID 3340834 DOI: 10.1126/Science.3340834 |
0.687 |
|
| 1988 |
Poggio T, Gamble EB, Little JJ. Parallel integration of vision modules. Science (New York, N.Y.). 242: 436-40. PMID 3175666 DOI: 10.1126/Science.3175666 |
0.38 |
|
| 1987 |
Poggio T, Koch C. Synapses that compute motion. Scientific American. 256: 46-52. PMID 3589641 DOI: 10.1038/SCIENTIFICAMERICAN0587-46 |
0.586 |
|
| 1986 |
Torre V, Poggio TA. On edge detection. Ieee Transactions On Pattern Analysis and Machine Intelligence. 8: 147-63. PMID 21869334 DOI: 10.1109/TPAMI.1986.4767769 |
0.637 |
|
| 1986 |
Hurlbert A, Poggio T. Visual information: Do computers need attention? Nature. 321: 651-652. DOI: 10.1038/321651a0 |
0.724 |
|
| 1986 |
Koch C, Poggio T, Torre V. Computations in the vertebrate retina: gain enhancement, differentiation and motion discrimination Trends in Neurosciences. 9: 204-211. DOI: 10.1016/0166-2236(86)90060-3 |
0.768 |
|
| 1985 |
Koch C, Poggio T. The biophysical properties of spines as a basis for their electrical function: a comment on Kawato & Tsukahara (1983). Journal of Theoretical Biology. 113: 225-9. PMID 3999776 DOI: 10.1016/S0022-5193(85)80225-3 |
0.559 |
|
| 1985 |
Koch C, Poggio T. A simple algorithm for solving the cable equation in dendritic trees of arbitrary geometry. Journal of Neuroscience Methods. 12: 303-15. PMID 3838780 DOI: 10.1016/0165-0270(85)90015-9 |
0.556 |
|
| 1985 |
Poggio T, Torre V, Koch C. Computational vision and regularization theory. Nature. 317: 314-9. PMID 2413361 DOI: 10.1038/317314A0 |
0.75 |
|
| 1985 |
Poggio T, Koch C. Ill-Posed Problems in Early Vision: From Computational Theory to Analogue Networks Proceedings of the Royal Society B: Biological Sciences. 226: 303-323. DOI: 10.1098/Rspb.1985.0097 |
0.619 |
|
| 1985 |
Poggio T, Koch C. Ill-posed problems in early vision: from computational theory to analogue networks Proceedings of the Royal Society a: Mathematical, Physical and Engineering Sciences. 402: 401-401. DOI: 10.1098/Rspa.1985.0124 |
0.619 |
|
| 1985 |
Poggio T. Early vision: from computational structure to algorithms and parallel hardware Graphical Models \/Graphical Models and Image Processing \/Computer Vision, Graphics, and Image Processing. 31: 139-155. DOI: 10.1016/S0734-189X(85)80003-7 |
0.345 |
|
| 1985 |
Hurlbert A, Poggio T. Spotlight on attention Trends in Neurosciences. 8: 309-311. DOI: 10.1016/0166-2236(85)90110-9 |
0.704 |
|
| 1984 |
Poggio GF, Poggio T. The analysis of stereopsis. Annual Review of Neuroscience. 7: 379-412. PMID 6370081 DOI: 10.1146/annurev.ne.07.030184.002115 |
0.408 |
|
| 1983 |
Koch C, Poggio T, Torre V. Nonlinear interactions in a dendritic tree: localization, timing, and role in information processing. Proceedings of the National Academy of Sciences of the United States of America. 80: 2799-802. PMID 6573680 DOI: 10.1073/pnas.80.9.2799 |
0.727 |
|
| 1983 |
Koch C, Poggio T. A theoretical analysis of electrical properties of spines. Proceedings of the Royal Society of London. Series B, Biological Sciences. 218: 455-77. PMID 6136978 DOI: 10.1098/rspb.1983.0051 |
0.565 |
|
| 1983 |
Koch C, Poggio T. Electrical properties of dendritic spines Trends in Neurosciences. 6: 80-83. DOI: 10.1016/0166-2236(83)90043-7 |
0.548 |
|
| 1983 |
Reichardt W, Poggio T, Hausen K. Figure-ground discrimination by relative movement in the visual system of the fly - Part II: Towards the neural circuitry Biological Cybernetics. 46: 1-30. DOI: 10.1007/BF00595226 |
0.657 |
|
| 1982 |
Nishihara HK, Poggio T. Hidden cues in random-line stereograms. Nature. 300: 347-9. PMID 7144888 DOI: 10.1038/300347A0 |
0.366 |
|
| 1982 |
Koch C, Poggio T, Torre V. Retinal ganglion cells: a functional interpretation of dendritic morphology. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 298: 227-63. PMID 6127730 DOI: 10.1098/rstb.1982.0084 |
0.727 |
|
| 1981 |
Fahle M, Poggio T. Visual hyperacuity:spatiotemporal interpolation in human vision. Proceedings of the Royal Society of London. Series B, Biological Sciences. 213: 451-77. PMID 6119691 DOI: 10.1098/Rspb.1981.0075 |
0.561 |
|
| 1981 |
Poggio T. Marr's computational approach to vision Trends in Neurosciences. 4: 258-262. DOI: 10.1016/0166-2236(81)90081-3 |
0.315 |
|
| 1981 |
Poggio T, Reichardt W, Hausen K. A neuronal circuitry for relative movement discrimination by the visual system of the fly Naturwissenschaften. 68: 443-446. DOI: 10.1007/BF01047513 |
0.67 |
|
| 1981 |
Poggio T, Reichardt W. Visual fixation and tracking by flies: Mathematical properties of simple control systems Biological Cybernetics. 40: 101-112. DOI: 10.1007/BF00344289 |
0.594 |
|
| 1980 |
Poggio T, Reichardt W. On the respresentation of multi-input systems: computational properties of polynomial algorithms. Biological Cybernetics. 37: 167-86. PMID 7417600 DOI: 10.1007/BF00355455 |
0.625 |
|
| 1980 |
Marr D, Poggio T, Hildreth E. Smallest channel in early human vision. Journal of the Optical Society of America. 70: 868-70. PMID 7400874 DOI: 10.1364/Josa.70.000868 |
0.518 |
|
| 1980 |
Buelthoff H, Poggio T, Wehrhahn C. 3-D Analysis of the flight trajectories of flies (drosophila melanogaster) Zeitschrift Fur Naturforschung - Section C Journal of Biosciences. 35: 811-815. DOI: 10.1515/znc-1980-9-1024 |
0.758 |
|
| 1979 |
Marr D, Ullman S, Poggio T. Bandpass channels, zero-crossings, and early visual information processing. Journal of the Optical Society of America. 69: 914-6. PMID 490228 DOI: 10.1364/Josa.69.000914 |
0.703 |
|
| 1979 |
Marr D, Poggio T. A computational theory of human stereo vision. Proceedings of the Royal Society of London. Series B, Biological Sciences. 204: 301-28. PMID 37518 DOI: 10.1016/B978-1-4832-1446-7.50046-7 |
0.545 |
|
| 1979 |
Reichardt W, Poggio T. Figure-ground discrimination by relative movement in the visual system of the fly - Part I: Experimental results Biological Cybernetics. 35: 81-100. DOI: 10.1007/BF00337434 |
0.647 |
|
| 1978 |
Marr D, Palm G, Poggio T. Analysis of a cooperative stereo algorithm. Biological Cybernetics. 28: 223-39. PMID 630015 DOI: 10.1007/BF00344269 |
0.497 |
|
| 1978 |
Torre V, Poggio T. A Synaptic Mechanism Possibly Underlying Directional Selectivity to Motion Proceedings of the Royal Society B: Biological Sciences. 202: 409-416. DOI: 10.1098/Rspb.1978.0075 |
0.632 |
|
| 1977 |
Poggio T, Torre V. A Volterra representation for some neuron models. Biological Cybernetics. 27: 113-24. PMID 911928 DOI: 10.1007/Bf00337263 |
0.649 |
|
| 1977 |
Palm G, Poggio T. The Volterra Representation and the Wiener Expansion: Validity and Pitfalls Siam Journal On Applied Mathematics. 33: 195-216. DOI: 10.1137/0133012 |
0.305 |
|
| 1976 |
Marr D, Poggio T. Cooperative computation of stereo disparity. Science (New York, N.Y.). 194: 283-7. PMID 968482 DOI: 10.1126/Science.968482 |
0.555 |
|
| 1976 |
Poggio T, Reichardt W. Nonlinear interactions underlying visual orientation behavior of the fly. Cold Spring Harbor Symposia On Quantitative Biology. 40: 635-45. PMID 820510 DOI: 10.1101/Sqb.1976.040.01.059 |
0.639 |
|
| 1976 |
Poggio T, Reichardt W. Visual control of orientation behaviour in the fly. Part II. Towards the underlying neural interactions. Quarterly Reviews of Biophysics. 9: 377-438. PMID 790442 DOI: 10.1017/S0033583500002535 |
0.68 |
|
| 1976 |
Reichardt W, Poggio T. Visual control of orientation behaviour in the fly. Part I. A quantitative analysis. Quarterly Reviews of Biophysics. 9: 311-75, 428-38. PMID 790441 DOI: 10.1017/S0033583500002523 |
0.676 |
|
| 1976 |
Heimburger L, Poggio T, Reichardt W. A special class of nonlinear interactions in the visual system of the fly Biological Cybernetics. 21: 103-105. DOI: 10.1007/BF01259392 |
0.655 |
|
| 1975 |
Geiger G, Poggio T. The orientation of flies towards visual patterns: on the search for the underlying functional interactions. Biological Cybernetics. 19: 39-54. PMID 1191718 DOI: 10.1007/Bf00319779 |
0.331 |
|
| 1975 |
Reichardt W, Poggio T. A theory of the pattern induced flight orientation of the fly Musca domestica II. Biological Cybernetics. 18: 69-80. PMID 1138981 DOI: 10.1007/BF00337127 |
0.632 |
|
| 1973 |
Poggio T, Reichardt W. A theory of the pattern induced flight orientation of the fly Musca domestica. Kybernetik. 12: 185-203. PMID 4718020 DOI: 10.1007/BF00270572 |
0.556 |
|
| 1973 |
Poggio T, Reichardt W. Considerations on models of movement detection. Kybernetik. 13: 223-7. PMID 4359479 DOI: 10.1007/BF00274887 |
0.628 |
|
| 1973 |
Borsellino A, Poggio T. Convolution and correlation algebras Kybernetik. 13: 113-122. DOI: 10.1007/BF00288790 |
0.644 |
|
| 1972 |
Borsellino A, Poggio T. Holographic aspects of temporal memory and optomotor responses Kybernetik. 10: 58-60. PMID 4338085 DOI: 10.1007/BF00288785 |
0.656 |
|
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