Year |
Citation |
Score |
2017 |
Troyer TW, Brainard MS, Bouchard KE. Timing during transitions in Bengalese finch song: implications for motor sequencing. Journal of Neurophysiology. jn.00296.2017. PMID 28637816 DOI: 10.1152/Jn.00296.2017 |
0.666 |
|
2016 |
Troyer TW. Continuous Time Representations of Song in Zebra Finches. Neuron. 90: 672-4. PMID 27196971 DOI: 10.1016/j.neuron.2016.05.013 |
0.341 |
|
2014 |
Wilson CJ, Barraza D, Troyer T, Farries MA. Predicting the responses of repetitively firing neurons to current noise. Plos Computational Biology. 10: e1003612. PMID 24809636 DOI: 10.1371/journal.pcbi.1003612 |
0.414 |
|
2014 |
Troyer TW, Barraza D, Farries MA, Wilson CJ. Noise-induced speed up in repetitively firing neurons occurs far from spike threshold Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P11 |
0.385 |
|
2013 |
Boothe DL, Cohen AH, Troyer TW. Phase locking asymmetries at flexor-extensor transitions during fictive locomotion. Plos One. 8: e64421. PMID 23700475 DOI: 10.1371/Journal.Pone.0064421 |
0.329 |
|
2013 |
Troyer TW. Neuroscience: The units of a song. Nature. 495: 56-7. PMID 23446352 DOI: 10.1038/nature11957 |
0.359 |
|
2013 |
Glaze CM, Troyer TW. Development of temporal structure in zebra finch song. Journal of Neurophysiology. 109: 1025-35. PMID 23175805 DOI: 10.1152/Jn.00578.2012 |
0.769 |
|
2012 |
Glaze CM, Troyer TW. A generative model for measuring latent timing structure in motor sequences. Plos One. 7: e37616. PMID 22815683 DOI: 10.1371/Journal.Pone.0037616 |
0.767 |
|
2012 |
Glaze CM, Troyer TW. Correction: A Generative Model for Measuring Latent Timing Structure in Motor Sequences Plos One. 7. DOI: 10.1371/Annotation/Ae2A9C7B-37Fd-4Aae-A9Df-Edbf8E7D99B8 |
0.738 |
|
2012 |
Woodford ME, Benavides MM, Troyer TW. Tracking sub-syllabic features in zebra finch song during development Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P20 |
0.418 |
|
2012 |
Bouchard KE, Kulkarni AS, Brainard MS, Troyer TW. Variability of inter-syllable gaps challenges the branched-chain model of sequence production in Bengalese finches Bmc Neuroscience. 13: P19. DOI: 10.1186/1471-2202-13-S1-P19 |
0.706 |
|
2011 |
Lobb CJ, Troyer TW, Wilson CJ, Paladini CA. Disinhibition bursting of dopaminergic neurons. Frontiers in Systems Neuroscience. 5: 25. PMID 21617731 DOI: 10.3389/fnsys.2011.00025 |
0.385 |
|
2011 |
Pressley J, Troyer TW. The dynamics of integrate-and-fire: mean versus variance modulations and dependence on baseline parameters. Neural Computation. 23: 1234-47. PMID 21299422 DOI: 10.1162/Neco_A_00114 |
0.671 |
|
2010 |
Pressley J, Troyer TW. Response dynamics of stochastic integrate-and-fire neurons Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P22 |
0.681 |
|
2010 |
Gonzalez J, Derrick B, Troyer T. Pattern separation is not affected by granule cell threshold independent of its effect on sparseness Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P123 |
0.361 |
|
2010 |
Lobb CJ, Paladini CA, Wilson CJ, Troyer TW. The generation of disinhibition bursts of dopaminergic neurons in the basal ganglia Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P112 |
0.386 |
|
2009 |
Pressley J, Troyer TW. Complementary responses to mean and variance modulations in the perfect integrate-and-fire model. Biological Cybernetics. 101: 63-70. PMID 19471957 DOI: 10.1007/S00422-009-0317-6 |
0.691 |
|
2009 |
Troyer TW, Glaze CM. Pulling an all-nighter. Nature Neuroscience. 12: 12-3. PMID 19107145 DOI: 10.1038/Nn0109-12 |
0.723 |
|
2008 |
Glaze CM, Troyer T. Neuroscience: Cool songs. Nature. 456: 187-8. PMID 19005545 DOI: 10.1038/456187a |
0.731 |
|
2008 |
Glaze CM, Troyer TW. Temporal variability in a synfire chain model of birdsong Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P28 |
0.776 |
|
2008 |
Boothe DL, Cohen AH, Troyer TW. Parameter dependent changes in strength of phase locking in a stochastic simulated central pattern generator Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-O4 |
0.359 |
|
2007 |
Glaze CM, Troyer TW. Behavioral measurements of a temporally precise motor code for birdsong. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 7631-9. PMID 17634357 DOI: 10.1523/Jneurosci.1065-07.2007 |
0.751 |
|
2007 |
Pressley J, Troyer TW. Resonant responses to variance modulation in stochastic integrate-and-fire neurons Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P44 |
0.675 |
|
2006 |
Troyer TW. Factors affecting phase synchronization in integrate-and-fire oscillators. Journal of Computational Neuroscience. 20: 191-200. PMID 16699841 DOI: 10.1007/s10827-006-6174-6 |
0.366 |
|
2006 |
Glaze CM, Troyer TW. Temporal structure in zebra finch song: implications for motor coding. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 991-1005. PMID 16421319 DOI: 10.1523/Jneurosci.3387-05.2006 |
0.768 |
|
2006 |
Boothe DL, Cohen AH, Troyer TW. Temporal correlations in stochastic models of double bursting during simulated locomotion. Journal of Neurophysiology. 95: 1556-70. PMID 16354728 DOI: 10.1152/Jn.01157.2005 |
0.407 |
|
2006 |
Du P, Troyer TW. A segmentation algorithm for zebra finch song at the note level Neurocomputing. 69: 1375-1379. DOI: 10.1016/j.neucom.2005.12.110 |
0.335 |
|
2006 |
Pressley J, Troyer TW. Temporal processing in the exponential integrate-and-fire model is nonlinear Neurocomputing. 69: 1076-1080. DOI: 10.1016/J.Neucom.2005.12.049 |
0.678 |
|
2002 |
Troyer TW, Krukowski AE, Miller KD. LGN input to simple cells and contrast-invariant orientation tuning: an analysis. Journal of Neurophysiology. 87: 2741-52. PMID 12037176 DOI: 10.1152/Jn.2002.87.6.2741 |
0.751 |
|
2002 |
Miller KD, Troyer TW. Neural noise can explain expansive, power-law nonlinearities in neural response functions. Journal of Neurophysiology. 87: 653-9. PMID 11826034 DOI: 10.1152/Jn.00425.2001 |
0.537 |
|
2001 |
Troyer TW, Bottjer SW. Birdsong: models and mechanisms. Current Opinion in Neurobiology. 11: 721-6. PMID 11741024 DOI: 10.1016/S0959-4388(01)00275-6 |
0.384 |
|
2001 |
Krukowski AE, Troyer TW, Miller KD. A model of visual cortical temporal frequency tuning Neurocomputing. 38: 1379-1383. DOI: 10.1016/S0925-2312(01)00499-4 |
0.754 |
|
2000 |
Troyer TW, Doupe AJ. An associational model of birdsong sensorimotor learning II. Temporal hierarchies and the learning of song sequence. Journal of Neurophysiology. 84: 1224-39. PMID 10979997 DOI: 10.1152/Jn.2000.84.3.1224 |
0.674 |
|
2000 |
Troyer TW, Doupe AJ. An associational model of birdsong sensorimotor learning I. Efference copy and the learning of song syllables. Journal of Neurophysiology. 84: 1204-23. PMID 10979996 DOI: 10.1152/Jn.2000.84.3.1204 |
0.67 |
|
1998 |
Troyer TW, Krukowski AE, Priebe NJ, Miller KD. Contrast-invariant orientation tuning in cat visual cortex: thalamocortical input tuning and correlation-based intracortical connectivity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 18: 5908-27. PMID 9671678 DOI: 10.1523/Jneurosci.18-15-05908.1998 |
0.764 |
|
1997 |
Troyer TW, Miller KD. Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. Neural Computation. 9: 971-83. PMID 9188190 DOI: 10.1162/Neco.1997.9.5.971 |
0.587 |
|
1996 |
Troyer TW. Feedforward Hebbian learning with nonlinear output units: A Lyapunov approach Neural Networks. 9: 321-328. DOI: 10.1016/0893-6080(95)00044-5 |
0.314 |
|
1994 |
Troyer TW, Levin JE, Jacobs GA. Construction and analysis of a database representing a neural map. Microscopy Research and Technique. 29: 329-43. PMID 7858313 DOI: 10.1002/jemt.1070290502 |
0.364 |
|
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