| Year |
Citation |
Score |
| 2024 |
Madanlal D, Guinard C, Nuñez VP, Becker S, Garnham J, Khayachi A, Léger S, O'Donovan C, Singh S, Stern S, Slaney C, Trappenberg T, Alda M, Nunes A. A pilot study examining the impact of lithium treatment and responsiveness on mnemonic discrimination in bipolar disorder. Journal of Affective Disorders. PMID 38280568 DOI: 10.1016/j.jad.2024.01.146 |
0.711 |
|
| 2023 |
Petzi M, Singh S, Trappenberg T, Nunes A. Mechanisms of Sustained Increases in Power Post-Ketamine in a Computational Model of the Hippocampal CA3: Implications for Ketamine's Antidepressant Mechanism of Action. Brain Sciences. 13. PMID 38002522 DOI: 10.3390/brainsci13111562 |
0.644 |
|
| 2023 |
Singh S, Becker S, Trappenberg T, Nunes A. Granule cells perform frequency-dependent pattern separation in a computational model of the dentate gyrus. Hippocampus. PMID 37950569 DOI: 10.1002/hipo.23585 |
0.64 |
|
| 2022 |
Nunes A, Singh S, Allman J, Becker S, Ortiz A, Trappenberg T, Alda M. A critical evaluation of dynamical systems models of bipolar disorder. Translational Psychiatry. 12: 416. PMID 36171199 DOI: 10.1038/s41398-022-02194-4 |
0.618 |
|
| 2021 |
Wang H, Alda M, Trappenberg T, Nunes A. A scoping review and comparison of approaches for measuring genetic heterogeneity in psychiatric disorders. Psychiatric Genetics. PMID 34694248 DOI: 10.1097/YPG.0000000000000304 |
0.707 |
|
| 2021 |
Stone W, Nunes A, Akiyama K, Akula N, Ardau R, Aubry JM, Backlund L, Bauer M, Bellivier F, Cervantes P, Chen HC, Chillotti C, Cruceanu C, Dayer A, Degenhardt F, ... ... Trappenberg T, et al. Prediction of lithium response using genomic data. Scientific Reports. 11: 1155. PMID 33441847 DOI: 10.1038/s41598-020-80814-z |
0.717 |
|
| 2021 |
Nunes A, Stone W, Ardau R, Berghöfer A, Bocchetta A, Chillotti C, Deiana V, Degenhardt F, Forstner AJ, Garnham JS, Grof E, Hajek T, Manchia M, Mattheisen M, McMahon F, ... ... Trappenberg T, et al. Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder. Translational Psychiatry. 11: 36. PMID 33431852 DOI: 10.1038/s41398-020-01148-y |
0.722 |
|
| 2020 |
Nunes A, Alda M, Trappenberg T. Multiplicative Decomposition of Heterogeneity in Mixtures of Continuous Distributions. Entropy (Basel, Switzerland). 22. PMID 33286629 DOI: 10.3390/E22080858 |
0.723 |
|
| 2020 |
Nunes A, Alda M, Bardouille T, Trappenberg T. Representational Rényi Heterogeneity. Entropy (Basel, Switzerland). 22. PMID 33286192 DOI: 10.3390/e22040417 |
0.728 |
|
| 2020 |
Nunes A, Trappenberg T, Alda M. Measuring heterogeneity in normative models as the effective number of deviation patterns. Plos One. 15: e0242320. PMID 33186399 DOI: 10.1371/journal.pone.0242320 |
0.733 |
|
| 2020 |
Nunes A, Trappenberg T, Alda M. The definition and measurement of heterogeneity. Translational Psychiatry. 10: 299. PMID 32839448 DOI: 10.1038/S41398-020-00986-0 |
0.733 |
|
| 2020 |
Nunes A, Trappenberg T, Alda M. Asymmetrical reliability of the Alda score favours a dichotomous representation of lithium responsiveness. Plos One. 15: e0225353. PMID 31986152 DOI: 10.1371/Journal.Pone.0225353 |
0.736 |
|
| 2020 |
Nunes A, Trappenberg T, Alda M. We need an operational framework for heterogeneity in psychiatric research Journal of Psychiatry & Neuroscience : Jpn. 45: 3-6. PMID 31845771 DOI: 10.1503/Jpn.190198 |
0.702 |
|
| 2020 |
Nunes A, Alda M, Bardouille T, Trappenberg T. Representational Rényi Heterogeneity Entropy. 22: 417. DOI: 10.3390/E22040417 |
0.737 |
|
| 2019 |
Nunes A, Ardau R, Berghöfer A, Bocchetta A, Chillotti C, Deiana V, Garnham J, Grof E, Hajek T, Manchia M, Müller-Oerlinghausen B, Pinna M, Pisanu C, O'Donovan C, Severino G, ... ... Trappenberg T, et al. Prediction of Lithium Response using Clinical Data. Acta Psychiatrica Scandinavica. PMID 31667829 DOI: 10.1111/Acps.13122 |
0.729 |
|
| 2018 |
Nunes A, Schnack HG, Ching CRK, Agartz I, Akudjedu TN, Alda M, Alnæs D, Alonso-Lana S, Bauer J, Baune BT, Bøen E, Bonnin CDM, Busatto GF, Canales-Rodríguez EJ, Cannon DM, ... ... Trappenberg T, et al. Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. Molecular Psychiatry. PMID 30171211 DOI: 10.1038/S41380-018-0228-9 |
0.735 |
|
| 2015 |
Connor P, Hollensen P, Krigolson O, Trappenberg T. A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO. Neural Networks : the Official Journal of the International Neural Network Society. 67: 121-30. PMID 25897512 DOI: 10.1016/J.Neunet.2015.03.005 |
0.334 |
|
| 2006 |
Trappenberg T, Ouyang J, Back A. Input variable selection: mutual information and linear mixing measures Ieee Transactions On Knowledge and Data Engineering. 18: 37-46. DOI: 10.1109/Tkde.2006.11 |
0.336 |
|
| 2006 |
Lawrence M, Trappenberg T, Fine A. Rapid learning and robust recall of long sequences in modular associator networks Neurocomputing. 69: 634-641. DOI: 10.1016/J.Neucom.2005.12.003 |
0.307 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2013 |
Trappenberg T, Hollensen P. Sparse coding and challenges for Bayesian models of the brain. The Behavioral and Brain Sciences. 36: 232-3. PMID 23663363 DOI: 10.1017/S0140525X12002300 |
0.298 |
|
| 2015 |
Hartono P, Hollensen P, Trappenberg T. Learning-regulated context relevant topographical map. Ieee Transactions On Neural Networks and Learning Systems. 26: 2323-35. PMID 25546864 DOI: 10.1109/Tnnls.2014.2379275 |
0.29 |
|
| 1989 |
Jansen K, Montvay I, Münster G, Trappenberg T, Wolff U. Broken phase of the 4-dimensional Ising model in a finite volume Nuclear Physics B. 322: 698-720. DOI: 10.1016/0550-3213(89)90233-2 |
0.285 |
|
| 1992 |
Barbour I, Bock W, Davies C, De AK, Henty D, Smit J, Trappenberg T. The eigenvalue spectra in Z(2) ⊗ Z(2) and SU(2) ⊗ SU(2) fermion-Higgs models Nuclear Physics B. 368: 390-412. DOI: 10.1016/0550-3213(92)90534-I |
0.276 |
|
| 1988 |
Jansen K, Jersák J, Montvay I, Münster G, Trappenberg T, Wolff U. Vacuum tunneling in the four-dimensional Ising model Physics Letters B. 213: 203-209. DOI: 10.1016/0370-2693(88)91026-X |
0.274 |
|
| 1990 |
Meyer-Ortmanns H, Trappenberg T. Surface tension from finite-volume vacuum tunneling in the 3D Ising model Journal of Statistical Physics. 58: 185-198. DOI: 10.1007/Bf01020291 |
0.272 |
|
| 2007 |
Standage D, Jalil S, Trappenberg T. Computational consequences of experimentally derived spike-time and weight dependent plasticity rules. Biological Cybernetics. 96: 615-23. PMID 17468882 DOI: 10.1007/S00422-007-0152-6 |
0.27 |
|
| 2009 |
Satel J, Trappenberg T, Fine A. Are binary synapses superior to graded weight representations in stochastic attractor networks? Cognitive Neurodynamics. 3: 243-50. PMID 19424822 DOI: 10.1007/S11571-009-9083-3 |
0.268 |
|
| 1994 |
Moriarty KJ, Trappenberg T, Rebbi C. Development of massively parallel applications Computer Physics Communications. 81: 153-162. DOI: 10.1016/0010-4655(94)90117-1 |
0.263 |
|
| 2019 |
Coe BC, Trappenberg T, Munoz DP. Modeling Saccadic Action Selection: Cortical and Basal Ganglia Signals Coalesce in the Superior Colliculus. Frontiers in Systems Neuroscience. 13: 3. PMID 30814938 DOI: 10.3389/Fnsys.2019.00003 |
0.261 |
|
| 1993 |
Lin L, Münster G, Plagge M, Montvay I, Wittig H, Frick C, Trappenberg T. Mass spectrum and bounds on the couplings in Yukawa models with mirror-fermions Nuclear Physics B - Proceedings Supplements. 30: 647-653. DOI: 10.1016/0920-5632(93)90294-G |
0.259 |
|
| 1993 |
Moriarty K, Sanielevici S, Trappenberg T, Kuba D. An efficiently microtasked CRAY Y-MP C90 version of the Kuba-Moriarty SU (3) gauge theory simulation program Computer Physics Communications. 76: 87-97. DOI: 10.1016/0010-4655(93)90123-T |
0.258 |
|
| 1992 |
Trappenberg T, Wiese U. (3)-instantons in models for wetting of hot gluons Nuclear Physics B. 372: 703-726. DOI: 10.1016/0550-3213(92)90372-I |
0.257 |
|
| 1992 |
Bock W, De A, Frick C, Jersák J, Trappenberg T. Spontaneous symmetry breaking on the lattice generated by Yukawa interaction Nuclear Physics B. 378: 652-682. DOI: 10.1016/0550-3213(92)90612-F |
0.255 |
|
| 2008 |
Trappenberg T. Tracking population densities using dynamic neural fields with moderately strong inhibition. Cognitive Neurodynamics. 2: 171-7. PMID 19003483 DOI: 10.1007/S11571-008-9046-0 |
0.251 |
|
| 1993 |
MORIARTY KJM, TRAPPENBERG T. PROGRAMMING TOOLS FOR PARALLEL COMPUTERS International Journal of Modern Physics C. 4: 1285-1294. DOI: 10.1142/S0129183193001002 |
0.251 |
|
| 1993 |
Moriarty KJM, Sanielevici S, Sun K, Trappenberg T. Object-oriented programming applied to lattice gauge theory Computers in Physics. 7: 560. DOI: 10.1063/1.168469 |
0.25 |
|
| 2014 |
Standage D, Trappenberg T, Blohm G. Calcium-dependent calcium decay explains STDP in a dynamic model of hippocampal synapses. Plos One. 9: e86248. PMID 24465987 DOI: 10.1371/Journal.Pone.0086248 |
0.249 |
|
| 1994 |
Coley A, Trappenberg T. Quark-hadron phase transition, QCD lattice calculations, and inhomogeneous big-bang nucleosynthesis. Physical Review D. 50: 4881-4885. PMID 10018139 DOI: 10.1103/Physrevd.50.4881 |
0.248 |
|
| 1994 |
Margio C, Moriarty K, Plache B, Trappenberg T. Bank conflict resolution Computer Physics Communications. 83: 125-129. DOI: 10.1016/0010-4655(94)90041-8 |
0.247 |
|
| 1993 |
Frick C, Lin L, Montvay I, Münster G, Plagge M, Trappenberg T, Wittig H. Numerical simulation of heavy fermions in an SU(2)L ⊗ SU(2)R symmetric Yukawa model Nuclear Physics B. 397: 431-450. DOI: 10.1016/0550-3213(93)90350-X |
0.244 |
|
| 1995 |
Moriarty KJM, Margio C, Trappenberg T. Object-oriented Monte Carlo simulations Computers in Physics. 9: 540. DOI: 10.1063/1.168550 |
0.241 |
|
| 1992 |
TRAPPENBERG T. THE SPECTRUM OF THE $\mathcal{T}$-MATRIX AND THE SURFACE TENSION IN THE SU(3) GAUGE THEORY International Journal of Modern Physics C. 3: 947-960. DOI: 10.1142/S0129183192000610 |
0.237 |
|
| 1992 |
Bock W, De AK, Frick C, Jansen K, Trappenberg T. Search for an upper bound of the renormalized Yukawa coupling in a lattice fermion-Higgs model Nuclear Physics B. 371: 683-712. DOI: 10.1016/0550-3213(92)90692-5 |
0.237 |
|
| 2020 |
Nunes A, Alda M, Trappenberg T. Multiplicative Decomposition of Heterogeneity in Mixtures of Continuous Distributions Entropy. 22: 858. DOI: 10.3390/e22080858 |
0.227 |
|
| 1992 |
Grossmann B, Laursen M, Trappenberg T, Wiese U. A multicanonical algorithm for SU (3) pure gauge theory Physics Letters B. 293: 175-180. DOI: 10.1016/0370-2693(92)91498-X |
0.226 |
|
| 2010 |
Back AD, Trappenberg TP. Selecting inputs for modeling using normalized higher order statistics and independent component analysis. Ieee Transactions On Neural Networks. 12: 612-7. PMID 18249894 DOI: 10.1109/72.925564 |
0.222 |
|
| 1993 |
Grossmann B, Laursen M, Trappenberg T, Wiese U. The confined-deconfined interface tension and the spectrum of the transfer matrix Nuclear Physics B. 396: 584-610. DOI: 10.1016/0550-3213(93)90664-B |
0.22 |
|
| 1993 |
Grossmann B, Laursen M, Trappenberg T, Wiese U. The confined-deconfined interface tension, wetting, and the spectrum of the transfer matrix Nuclear Physics B - Proceedings Supplements. 30: 865-868. DOI: 10.1016/0920-5632(93)90344-6 |
0.218 |
|
| 2019 |
Sheikhnezhad Fard F, Trappenberg TP. A Novel Model for Arbitration Between Planning and Habitual Control Systems. Frontiers in Neurorobotics. 13: 52. PMID 31354468 DOI: 10.3389/fnbot.2019.00052 |
0.211 |
|
| 1993 |
Grossman B, Laursen M, Trappenberg T, Wiese U. The interface tension in quenched QCD at the critical temperature Nuclear Physics B - Proceedings Supplements. 30: 869-872. DOI: 10.1016/0920-5632(93)90345-7 |
0.202 |
|
| 2007 |
Standage D, Trappenberg T. An efficient Ca2+ based plasticity rule with combined Ca2+sources Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P93 |
0.192 |
|
| 2011 |
Connor P, Trappenberg T. A new functional role for lateral inhibition in the striatum: Pavlovian conditioning Nature Precedings. DOI: 10.1038/Npre.2011.5986.1 |
0.187 |
|
| 2021 |
MacNeil L, Missan S, Luo J, Trappenberg T, LaRoche J. Plankton classification with high-throughput submersible holographic microscopy and transfer learning. Bmc Ecology and Evolution. 21: 123. PMID 34134620 DOI: 10.1186/s12862-021-01839-0 |
0.171 |
|
| 2014 |
Connor PC, Lolordo VM, Trappenberg TP. An elemental model of retrospective revaluation without within-compound associations. Learning & Behavior. 42: 22-38. PMID 23813103 DOI: 10.3758/s13420-013-0112-z |
0.162 |
|
| 2005 |
Stringer SM, Rolls ET, Trappenberg TP. Self-organizing continuous attractor network models of hippocampal spatial view cells. Neurobiology of Learning and Memory. 83: 79-92. PMID 15607692 DOI: 10.1016/j.nlm.2004.08.003 |
0.155 |
|
| 2008 |
Salmon JP, Trappenberg TP. Modeling the integration of expectations in visual search with centre-surround neural fields. Neural Networks : the Official Journal of the International Neural Network Society. 21: 1476-92. PMID 18980830 DOI: 10.1016/j.neunet.2008.09.007 |
0.154 |
|
| 2015 |
Parvar H, Sculthorpe-Petley L, Satel J, Boshra R, D'Arcy RC, Trappenberg TP. Detection of event-related potentials in individual subjects using support vector machines. Brain Informatics. 2: 1-12. PMID 27747499 DOI: 10.1007/S40708-014-0006-7 |
0.152 |
|
| 2018 |
Hassall CD, Connor PC, Trappenberg TP, McDonald JJ, Krigolson OE. Learning what matters: A neural explanation for the sparsity bias. International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology. 127: 62-72. PMID 29551656 DOI: 10.1016/j.ijpsycho.2018.03.006 |
0.148 |
|
| 2019 |
Lee PQ, Guida A, Patterson S, Trappenberg T, Bowen C, Beyea SD, Merrimen J, Wang C, Clarke SE. Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 75: 14-23. PMID 31117012 DOI: 10.1016/J.Compmedimag.2019.04.006 |
0.142 |
|
| 2015 |
S Fard F, Hollensen P, Heinke D, Trappenberg TP. Modeling human target reaching with an adaptive observer implemented with dynamic neural fields. Neural Networks : the Official Journal of the International Neural Network Society. PMID 26559472 DOI: 10.1016/j.neunet.2015.10.003 |
0.13 |
|
| 2012 |
Marino RA, Trappenberg TP, Dorris M, Munoz DP. Spatial interactions in the superior colliculus predict saccade behavior in a neural field model. Journal of Cognitive Neuroscience. 24: 315-36. PMID 21942761 DOI: 10.1162/jocn_a_00139 |
0.13 |
|
| 2010 |
Connors WA, Connor PC, Trappenberg T. Detection of mine-like objects using restricted Boltzmann machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6085: 362-365. DOI: 10.1007/978-3-642-13059-5_47 |
0.126 |
|
| 2002 |
Stringer SM, Trappenberg TP, Rolls ET, de Araujo IE. Self-organizing continuous attractor networks and path integration: one-dimensional models of head direction cells. Network (Bristol, England). 13: 217-42. PMID 12061421 DOI: 10.1088/0954-898X/13/2/304 |
0.126 |
|
| 1999 |
Trappenberg TP, Klein RM. Generating oculomotor and neuronal behavior in a neural field model of the superior colliculus Behavioral and Brain Sciences. 22: 700-701. DOI: 10.1017/S0140525X9950215X |
0.119 |
|
| 2022 |
Livermore D, Trappenberg T, Syme A. Machine learning for contour classification in TG-263 noncompliant databases. Journal of Applied Clinical Medical Physics. e13662. PMID 35686988 DOI: 10.1002/acm2.13662 |
0.115 |
|
| 2002 |
Rolls ET, Stringer SM, Trappenberg TP. A unified model of spatial and episodic memory. Proceedings. Biological Sciences / the Royal Society. 269: 1087-93. PMID 12061949 DOI: 10.1098/rspb.2002.2009 |
0.115 |
|
| 2004 |
Stringer SM, Rolls ET, Trappenberg TP. Self-organising continuous attractor networks with multiple activity packets, and the representation of space. Neural Networks : the Official Journal of the International Neural Network Society. 17: 5-27. PMID 14690703 DOI: 10.1016/S0893-6080(03)00210-7 |
0.114 |
|
| 2015 |
Sculthorpe-Petley L, Liu C, Hajra SG, Parvar H, Satel J, Trappenberg TP, Boshra R, D'Arcy RC. A rapid event-related potential (ERP) method for point-of-care evaluation of brain function: development of the Halifax Consciousness Scanner. Journal of Neuroscience Methods. 245: 64-72. PMID 25701685 DOI: 10.1016/J.Jneumeth.2015.02.008 |
0.109 |
|
| 2003 |
Stringer SM, Rolls ET, Trappenberg TP, de Araujo IE. Self-organizing continuous attractor networks and motor function. Neural Networks : the Official Journal of the International Neural Network Society. 16: 161-82. PMID 12628605 DOI: 10.1016/S0893-6080(02)00237-X |
0.107 |
|
| 2002 |
Stringer SM, Rolls ET, Trappenberg TP, de Araujo IET. Self-organizing continuous attractor networks and path integration: two-dimensional models of place cells Network: Computation in Neural Systems. 13: 429-446. DOI: 10.1088/0954-898X_13_4_301 |
0.105 |
|
| 2019 |
Hartono P, Trappenberg T. Topographic representation adds robustness to supervised learning Journal of Intelligent & Fuzzy Systems. 36: 3249-3262. DOI: 10.3233/JIFS-18343 |
0.104 |
|
| 2005 |
Standage DI, Trappenberg TP, Klein RM. Modelling divided visual attention with a winner-take-all network. Neural Networks : the Official Journal of the International Neural Network Society. 18: 620-7. PMID 16087317 DOI: 10.1016/j.neunet.2005.06.015 |
0.103 |
|
| 2014 |
Connor PC, Lolordo VM, Trappenberg TP. Erratum to: An elemental model of retrospective revaluation without within-compound associations. Learning & Behavior. 42: 39. PMID 24477827 DOI: 10.3758/s13420-013-0132-8 |
0.089 |
|
| 1994 |
MORIARTY KJM, SANIELEVICI S, TRAPPENBERG T. HIGH SPEED MONTE CARLO SIMULATIONS ON VECTOR PARALLEL COMPUTERS Parallel Algorithms and Applications. 3: 165-175. DOI: 10.1080/10637199408962535 |
0.068 |
|
| 2013 |
Connors WA, Trappenberg T. Improved Path Integration Using a Modified Weight Combination Method Cognitive Computation. 5: 295-306. DOI: 10.1007/s12559-013-9209-0 |
0.044 |
|
| Hide low-probability matches. |