| Year |
Citation |
Score |
| 2014 |
Barbu A, Barrett DP, Chen W, Siddharth N, Xiong C, Corso JJ, Fellbaum CD, Hanson C, Hanson SJ, Hélie S, Malaia E, Pearlmutter BA, Siskind JM, Talavage TM, Wilbur RB. Seeing is worse than believing: Reading people's minds better than computer-vision methods recognize actions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8693: 612-627. DOI: 10.1007/978-3-319-10602-1_40 |
0.486 |
|
| 2013 |
Pearlmutter BA, Houghton CJ. Dreams, mnemonics, and tuning for criticality. The Behavioral and Brain Sciences. 36: 625-6; discussion 63. PMID 24304767 DOI: 10.1017/S0140525X13001404 |
0.493 |
|
| 2009 |
Pearlmutter BA, Houghton CJ. A new hypothesis for sleep: tuning for criticality. Neural Computation. 21: 1622-41. PMID 19191602 DOI: 10.1162/neco.2009.05-08-787 |
0.514 |
|
| 2008 |
Soraghan C, Matthews F, Markham C, Pearlmutter BA, O'Neill R, Ward TE. A 12-channel, real-time near-infrared spectroscopy instrument for brain-computer interface applications. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2008: 5648-51. PMID 19163998 DOI: 10.1109/IEMBS.2008.4650495 |
0.542 |
|
| 2008 |
Matthews F, Soraghan C, Ward TE, Markham C, Pearlmutter BA. Software platform for rapid prototyping of NIRS brain computer interfacing techniques. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2008: 4840-3. PMID 19163800 DOI: 10.1109/IEMBS.2008.4650297 |
0.528 |
|
| 2008 |
Lalor EC, Yeap S, Reilly RB, Pearlmutter BA, Foxe JJ. Dissecting the cellular contributions to early visual sensory processing deficits in schizophrenia using the VESPA evoked response. Schizophrenia Research. 98: 256-64. PMID 17996424 DOI: 10.1016/J.Schres.2007.09.037 |
0.482 |
|
| 2008 |
O'Grady PD, Pearlmutter BA. The LOST algorithm: Finding lines and separating speech mixtures Eurasip Journal On Advances in Signal Processing. 2008. DOI: 10.1155/2008/784296 |
0.709 |
|
| 2008 |
Matthews F, Pearlmutter BA, Ward TE, Soraghan C, Markham C. Hemodynamics for brain-computer interfaces Ieee Signal Processing Magazine. 25: 87-94. DOI: 10.1109/Msp.2008.4408445 |
0.59 |
|
| 2008 |
O'Grady PD, Pearlmutter BA. Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint Neurocomputing. 72: 88-101. DOI: 10.1016/j.neucom.2008.01.033 |
0.722 |
|
| 2007 |
Lalor EC, Kelly SP, Pearlmutter BA, Reilly RB, Foxe JJ. Isolating endogenous visuo-spatial attentional effects using the novel visual-evoked spread spectrum analysis (VESPA) technique. The European Journal of Neuroscience. 26: 3536-42. PMID 18088279 DOI: 10.1111/J.1460-9568.2007.05968.X |
0.513 |
|
| 2007 |
Parra LC, Pearlmutter BA. Illusory percepts from auditory adaptation. The Journal of the Acoustical Society of America. 121: 1632-41. PMID 17407900 DOI: 10.1121/1.2431346 |
0.508 |
|
| 2007 |
Jaramillo S, Pearlmutter BA. Optimal coding predicts attentional modulation of activity in neural systems. Neural Computation. 19: 1295-312. PMID 17381267 DOI: 10.1162/neco.2007.19.5.1295 |
0.564 |
|
| 2007 |
O'Grady PD, Pearlmutter BA. Convolutive non-negative matrix factorisation with a sparseness constraint Proceedings of the 2006 16th Ieee Signal Processing Society Workshop On Machine Learning For Signal Processing, Mlsp 2006. 427-432. DOI: 10.1109/MLSP.2006.275588 |
0.661 |
|
| 2007 |
Jaramillo S, Pearlmutter BA. Use your powers wisely: Resource allocation in parallel channels Proceedings of the 2006 16th Ieee Signal Processing Society Workshop On Machine Learning For Signal Processing, Mlsp 2006. 21-26. DOI: 10.1109/MLSP.2006.275515 |
0.457 |
|
| 2007 |
O'Grady PD, Pearlmutter BA. Discovering convolutive speech phones using sparseness and non-negativity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4666: 520-527. |
0.669 |
|
| 2006 |
Lalor EC, Reilly RB, Pearlmutter BA, Foxe JJ. A spectrum of colors: investigating the temporal frequency characteristics of the human visual system using a system identification approach. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 3720-3. PMID 17946199 DOI: 10.1109/IEMBS.2006.259688 |
0.452 |
|
| 2006 |
Lalor EC, Pearlmutter BA, Reilly RB, McDarby G, Foxe JJ. The VESPA: a method for the rapid estimation of a visual evoked potential. Neuroimage. 32: 1549-61. PMID 16875844 DOI: 10.1016/J.Neuroimage.2006.05.054 |
0.513 |
|
| 2006 |
Asari H, Pearlmutter BA, Zador AM. Sparse representations for the cocktail party problem. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 7477-90. PMID 16837596 DOI: 10.1523/Jneurosci.1563-06.2006 |
0.733 |
|
| 2005 |
Jun SC, Pearlmutter BA. Fast robust subject-independent magnetoencephalographic source localization using an artificial neural network. Human Brain Mapping. 24: 21-34. PMID 15593270 DOI: 10.1002/Hbm.20068 |
0.577 |
|
| 2005 |
O'Grady PD, Pearlmutter BA, Rickard ST. Survey of sparse and non-sparse methods in source separation International Journal of Imaging Systems and Technology. 15: 18-33. DOI: 10.1002/Ima.20035 |
0.721 |
|
| 2005 |
Pearlmutter BA, Asari H, Zador AM. Neuronal predictions of sparse linear representations Forum Acusticum Budapest 2005: 4th European Congress On Acustics. L147-L152. |
0.677 |
|
| 2004 |
Jaramillo S, Pearlmutter BA. A normative model of attention: Receptive field modulation Neurocomputing. 58: 613-618. DOI: 10.1016/j.neucom.2004.01.103 |
0.57 |
|
| 2004 |
O'Grady PD, Pearlmutter BA. Soft-LOST: Em on a mixture of oriented lines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3195: 430-436. |
0.642 |
|
| 2004 |
Pearlmutter BA, Zador AM. Monaural source separation using spectral cues Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3195: 478-485. |
0.688 |
|
| 2003 |
Jun SC, Pearlmutter BA, Nolte G. MEG source localization using an MLP with a distributed output representation. Ieee Transactions On Bio-Medical Engineering. 50: 786-9. PMID 12814246 DOI: 10.1109/Tbme.2003.812154 |
0.601 |
|
| 2003 |
Pearlmutter BA, Jaramillo S. Progress in blind separation of magnetoencephalographic data Proceedings of Spie - the International Society For Optical Engineering. 5102: 129-134. DOI: 10.1117/12.502478 |
0.488 |
|
| 2003 |
Parra L, Alvino C, Tang A, Pearlmutter B, Yeung N, Osman A, Sajda P. Single-trial detection in EEG and MEG: Keeping it linear Neurocomputing. 52: 177-183. DOI: 10.1016/S0925-2312(02)00821-4 |
0.52 |
|
| 2002 |
Tang AC, Pearlmutter BA, Malaszenko NA, Phung DB. Independent components of magnetoencephalography: single-trial response onset times. Neuroimage. 17: 1773-89. PMID 12498751 DOI: 10.1006/Nimg.2002.1320 |
0.364 |
|
| 2002 |
Parra L, Alvino C, Tang A, Pearlmutter B, Yeung N, Osman A, Sajda P. Linear spatial integration for single-trial detection in encephalography. Neuroimage. 17: 223-30. PMID 12482079 DOI: 10.1006/Nimg.2002.1212 |
0.52 |
|
| 2002 |
Tang AC, Pearlmutter BA, Malaszenko NA, Phung DB, Reeb BC. Independent components of magnetoencephalography: localization. Neural Computation. 14: 1827-58. PMID 12180404 DOI: 10.1162/089976602760128036 |
0.369 |
|
| 2002 |
Jun SC, Pearlmutter BA, Nolte G. Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise. Physics in Medicine and Biology. 47: 2547-60. PMID 12171339 DOI: 10.1088/0031-9155/47/14/312 |
0.555 |
|
| 2002 |
Zibulevsky M, Kisilev P, Zeevi YY, Pearlmutter B. Blind source separation via multinode sparse representation Advances in Neural Information Processing Systems. |
0.629 |
|
| 2001 |
Zibulevsky M, Pearlmutter BA. Blind source separation by sparse decomposition in a signal dictionary. Neural Computation. 13: 863-82. PMID 11255573 DOI: 10.1162/089976601300014385 |
0.673 |
|
| 2001 |
Kisilev P, Zibulevsky M, Zeevi YY, Pearlmutter BA. Multiscale blind source separation Proceedings of Spie - the International Society For Optical Engineering. 4391: 250-258. DOI: 10.1117/12.421206 |
0.664 |
|
| 2000 |
Tang AC, Pearlmutter BA, Zibulevsky M, Carter SA. Blind source separation of multichannel neuromagnetic responses Neurocomputing. 32: 1115-1120. DOI: 10.1016/S0925-2312(00)00286-1 |
0.655 |
|
| 2000 |
Tang AC, Pearlmutter BA, Hely TA, Zibulevsky M, Weisend MP. An MEG study of response latency and variability in the human visual system during a visual-motor integration task Advances in Neural Information Processing Systems. 185-191. |
0.565 |
|
| 1996 |
Zador AM, Pearlmutter BA. VC Dimension of an Integrate-and-Fire Neuron Model Neural Computation. 8: 611-624. DOI: 10.1162/Neco.1996.8.3.611 |
0.699 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2013 |
Calhoun VD, Potluru VK, Phlypo R, Silva RF, Pearlmutter BA, Caprihan A, Plis SM, Adal? T. Independent component analysis for brain FMRI does indeed select for maximal independence. Plos One. 8: e73309. PMID 24009746 DOI: 10.1371/Journal.Pone.0073309 |
0.283 |
|
| 1995 |
Pearlmutter BA. Gradient calculations for dynamic recurrent neural networks: a survey. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 6: 1212-28. PMID 18263409 DOI: 10.1109/72.410363 |
0.278 |
|
| 1989 |
Pearlmutter BA. Learning state space trajectories in recurrent neural networks Ijcnn Int Jt Conf Neural Network. 365-372. DOI: 10.1162/Neco.1989.1.2.263 |
0.265 |
|
| 2016 |
Hamilton C, D'Arcy S, Pearlmutter BA, Crispino G, Lalor EC, Conlon BJ. An Investigation of Feasibility and Safety of Bi-Modal Stimulation for the Treatment of Tinnitus: An Open-Label Pilot Study. Neuromodulation : Journal of the International Neuromodulation Society. PMID 27310062 DOI: 10.1111/ner.12452 |
0.263 |
|
| 1995 |
Pearlmutter BA. Time-Skew Hebb rule in a nonisopotential neuron. Neural Computation. 7: 706-12. PMID 7584884 DOI: 10.1162/Neco.1995.7.4.706 |
0.256 |
|
| 2017 |
Geeraert S, Lehalle C, Pearlmutter BA, Pironneau O, Reghai A. Mini-symposium on automatic differentiation and its applications in the financial industry Esaim: Proceedings and Surveys. 59: 56-75. DOI: 10.1051/Proc/201759056 |
0.253 |
|
| 1994 |
Pearlmutter BA. Comments on 'hebbian learning is jointly controlled by electrotonic and input structure' Network: Computation in Neural Systems. 5: 425-426. DOI: 10.1088/0954-898X_5_3_007 |
0.245 |
|
| 1994 |
Pearlmutter BA. Fast Exact Multiplication by the Hessian Neural Computation. 6: 147-160. DOI: 10.1162/neco.1994.6.1.147 |
0.244 |
|
| 2019 |
MANZYUK O, PEARLMUTTER BA, RADUL AA, RUSH DR, SISKIND JM. Perturbation confusion in forward automatic differentiation of higher-order functions Journal of Functional Programming. 29. DOI: 10.1017/S095679681900008X |
0.243 |
|
| 1992 |
Pearlmutter BA, Sanatchandran P. Comments on ;Dynamic programming approach to optimal weight selection in multilayer neural networks' [with reply]. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 3: 1028-9. PMID 18276503 DOI: 10.1109/72.165609 |
0.243 |
|
| 2008 |
Pearlmutter BA, Siskind JM. Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator Acm Transactions On Programming Languages and Systems. 30. DOI: 10.1145/1330017.1330018 |
0.235 |
|
| 2013 |
Calhoun VD, Potluru VK, Phlypo R, Silva RF, Pearlmutter BA, Caprihan A, Plis SM, Adalı T. Correction: Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence Plos One. 8. DOI: 10.1371/Annotation/52C7B854-2D52-4B49-9F9F-6560830F9428 |
0.226 |
|
| 1996 |
Pearlmutter B. Garbage collection with pointers to individuals cells Communications of the Acm. 39: 202. DOI: 10.1145/272682.272712 |
0.217 |
|
| 2018 |
Siskind JM, Pearlmutter BA. Divide-and-conquer checkpointing for arbitrary programs with no user annotation Optimization Methods and Software. 33: 1288-1330. DOI: 10.1080/10556788.2018.1459621 |
0.214 |
|
| 2013 |
García MR, Pearlmutter BA, Wellstead PE, Middleton RH. A slow axon antidromic blockade hypothesis for tremor reduction via deep brain stimulation. Plos One. 8: e73456. PMID 24066049 DOI: 10.1371/journal.pone.0073456 |
0.209 |
|
| 1994 |
PEARLMUTTER B. Simplifying Neural Network Soft Weight-sharing Measures by Soft Weight-measure Soft Weight Sharing Connection Science. 6: 105-105. DOI: 10.1080/09540099408915712 |
0.199 |
|
| 1997 |
Pearlmutter BA, Parra LC. Maximum likelihood blind source separation: A context-sensitive generalization of ICA Advances in Neural Information Processing Systems. 613-619. |
0.19 |
|
| 1996 |
Pearlmutter BA. Doing the twist: Diagonal meshes are isomorphic to twisted toroidal meshes Ieee Transactions On Computers. 45: 766-767. DOI: 10.1109/12.506434 |
0.185 |
|
| 2003 |
Pearlmutter BA, Potluru VK. Sparse separation: Principles and tricks Proceedings of Spie - the International Society For Optical Engineering. 5102: 1-4. DOI: 10.1117/12.502473 |
0.167 |
|
| 2009 |
Frein R, Rickard ST, A.pearlmutter B. Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5441: 573-580. DOI: 10.1007/978-3-642-00599-2_72 |
0.166 |
|
| 2004 |
Jun SC, Pearlmutter BA. Subject-independent magnetoencephalographic source localization by a multilayer perceptron Advances in Neural Information Processing Systems. |
0.133 |
|
| 2007 |
Pearlmutter BA, Olsson RK. Linear program differentiation for single-channel speech separation Proceedings of the 2006 16th Ieee Signal Processing Society Workshop On Machine Learning For Signal Processing, Mlsp 2006. 421-426. DOI: 10.1109/MLSP.2006.275587 |
0.117 |
|
| 2000 |
Haines KG, Pearlmutter BA, Moya JA, Edlund K, Caudell TP. Visualizing communication between neurons in the lamina ganglionaris of Musca domestica Proceedings of the International Joint Conference On Neural Networks. 3: 53-58. |
0.105 |
|
| 2005 |
Murray-Smith R, Pearlmutter BA. Transformations of gaussian process priors Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3635: 110-123. DOI: 10.1007/11559887_7 |
0.08 |
|
| 2008 |
Pearlmutter BA, Siskind JM. Using programming language theory to make automatic differentiation sound and efficient Lecture Notes in Computational Science and Engineering. 64: 79-90. DOI: 10.1007/978-3-540-68942-3_8 |
0.08 |
|
| 1999 |
Warrender C, Forrest S, Pearlmutter B. Detecting intrusions using system calls: Alternative data models Proceedings - Ieee Symposium On Security and Privacy. 1999: 133-145. DOI: 10.1109/SECPRI.1999.766910 |
0.077 |
|
| 2005 |
Shi JQ, Murray-Smith R, Titterington DM, Pearlmutter BA. Filtered Gaussian processes for learning with large data-sets Lecture Notes in Computer Science. 3355: 128-139. |
0.076 |
|
| 1998 |
Lang KJ, Pearlmutter BA, Price RA. Results of the abbadingo one DFA learning competition and a new evidence-driven state merging algorithm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1433: 1-12. |
0.073 |
|
| 1986 |
Lang KJ, Pearlmutter BA. Oaklisp: An Object-Oriented Scheme with First Class Types Acm Sigplan Notices. 21: 30-37. DOI: 10.1145/960112.28701 |
0.068 |
|
| 2006 |
Soraghan C, Matthews F, Kelly D, Ward T, Markham C, Pearlmutter BA, Neill RO. A dual-channel optical brain-computer interface in a gaming environment Proceedings of Cgames 2006 - 9th International Conference On Computer Games: Artificial Intelligence and Mobile Systems. 35-39. |
0.066 |
|
| 2007 |
Siskind JM, Pearlmutter BA. First-class nonstandard interpretations by opening closures Conference Record of the Annual Acm Symposium On Principles of Programming Languages. 71-76. DOI: 10.1145/1190216.1190230 |
0.058 |
|
| 2008 |
Matthews F, Soraghan C, Ward TE, Markham C, Pearlmutter BA. Software platform for rapid prototyping of MRS brain computer interfacing techniques Proceedings of the 30th Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs'08 - "Personalized Healthcare Through Technology". 4840-4843. |
0.049 |
|
| 1988 |
Lang KJ, Pearlmutter BA. Oaklisp: An object-oriented dialect of scheme Lisp and Symbolic Computation. 1: 39-51. DOI: 10.1007/BF01806175 |
0.044 |
|
| 2014 |
García MR, Pearlmutter BA, Wellstead PE, Middleton RH. Correction: A slow axon antidromic blockade hypothesis for tremor reduction via deep brain stimulation (PLoS ONE (2013) 8, 9 (e73456) DOI: 10.1371/journal.pone.0073456) Plos One. 9. DOI: 10.1371/journal.pone.0106145 |
0.042 |
|
| 2011 |
García MR, Verwoerd M, Pearlmutter BA, Wellstead PE, Middleton RH. Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation Proceedings of the Ieee Conference On Decision and Control. 6481-6486. DOI: 10.1109/CDC.2011.6160710 |
0.037 |
|
| 2000 |
Flake GW, Pearlmutter BA. Differentiating functions of the Jacobian with respect to the weights Advances in Neural Information Processing Systems. 435-441. |
0.035 |
|
| 2008 |
Siskind JM, Pearlmutter BA. Nesting forward-mode AD in a functional framework Higher-Order and Symbolic Computation. 21: 361-376. DOI: 10.1007/s10990-008-9037-1 |
0.029 |
|
| 2012 |
Radul A, Pearlmutter BA, Siskind JM. AD in Fortran: Implementation via prepreprocessor Lecture Notes in Computational Science and Engineering. 87: 273-284. DOI: 10.1007/978-3-642-30023-3_25 |
0.025 |
|
| 2007 |
Pearlmutter BA, Siskind JM. Lazy multivariate higher-order forward-mode AD Conference Record of the Annual Acm Symposium On Principles of Programming Languages. 155-160. DOI: 10.1145/1190216.1190242 |
0.019 |
|
| Hide low-probability matches. |