| Year |
Citation |
Score |
| 2020 |
Friedman A, Hueske E, Drammis SM, Toro Arana SE, Nelson ED, Carter CW, Delcasso S, Rodriguez RX, Lutwak H, DiMarco KS, Zhang Q, Rakocevic LI, Hu D, Xiong JK, Zhao J, ... Gibb LG, et al. Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington's Disease Model. Cell. PMID 33113354 DOI: 10.1016/j.cell.2020.09.060 |
0.46 |
|
| 2018 |
Kelly SM, Raudales R, He M, Lee JH, Kim Y, Gibb LG, Wu P, Matho K, Osten P, Graybiel AM, Huang ZJ. Radial Glial Lineage Progression and Differential Intermediate Progenitor Amplification Underlie Striatal Compartments and Circuit Organization. Neuron. PMID 30017396 DOI: 10.1016/J.Neuron.2018.06.021 |
0.446 |
|
| 2017 |
Friedman A, Homma D, Bloem B, Gibb LG, Amemori KI, Hu D, Delcasso S, Truong TF, Yang J, Hood AS, Mikofalvy KA, Beck DW, Nguyen N, Nelson ED, Toro Arana SE, et al. Chronic Stress Alters Striosome-Circuit Dynamics, Leading to Aberrant Decision-Making. Cell. 171: 1191-1205.e28. PMID 29149606 DOI: 10.1016/J.Cell.2017.10.017 |
0.431 |
|
| 2016 |
Friedman A, Slocum JF, Tyulmankov D, Gibb LG, Altshuler A, Ruangwises S, Shi Q, Toro Arana SE, Beck DW, Sholes JE, Graybiel AM. Analysis of complex neural circuits with nonlinear multidimensional hidden state models. Proceedings of the National Academy of Sciences of the United States of America. PMID 27222584 DOI: 10.1073/pnas.1606280113 |
0.437 |
|
| 2015 |
Friedman A, Homma D, Gibb LG, Amemori K, Rubin SJ, Hood AS, Riad MH, Graybiel AM. A Corticostriatal Path Targeting Striosomes Controls Decision-Making under Conflict. Cell. 161: 1320-33. PMID 26027737 DOI: 10.1016/J.Cell.2015.04.049 |
0.438 |
|
| 2015 |
Friedman A, Keselman MD, Gibb LG, Graybiel AM. A multistage mathematical approach to automated clustering of high-dimensional noisy data. Proceedings of the National Academy of Sciences of the United States of America. 112: 4477-82. PMID 25831512 DOI: 10.1073/pnas.1503940112 |
0.41 |
|
| 2011 |
Amemori K, Gibb LG, Graybiel AM. Shifting responsibly: the importance of striatal modularity to reinforcement learning in uncertain environments. Frontiers in Human Neuroscience. 5: 47. PMID 21660099 DOI: 10.3389/Fnhum.2011.00047 |
0.48 |
|
| 2009 |
Gibb L, Gentner TQ, Abarbanel HD. Brain stem feedback in a computational model of birdsong sequencing. Journal of Neurophysiology. 102: 1763-78. PMID 19553477 DOI: 10.1152/jn.91154.2008 |
0.693 |
|
| 2009 |
Gibb L, Gentner TQ, Abarbanel HD. Inhibition and recurrent excitation in a computational model of sparse bursting in song nucleus HVC. Journal of Neurophysiology. 102: 1748-62. PMID 19515949 DOI: 10.1152/jn.00670.2007 |
0.714 |
|
| 2005 |
Abarbanel HD, Talathi SS, Gibb L, Rabinovich MI. Synaptic plasticity with discrete state synapses. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 72: 031914. PMID 16241489 DOI: 10.1103/Physreve.72.031914 |
0.705 |
|
| 2005 |
Abarbanel HDI, Talathi SS, Gibb L, Rabinovich MI. Erratum: Synaptic plasticity with discrete state synapses [Phys. Rev. E72, 031914 (2005)] Physical Review E. 72. DOI: 10.1103/Physreve.72.069903 |
0.652 |
|
| 2004 |
Abarbanel HD, Talathi SS, Mindlin G, Rabinovich M, Gibb L. Dynamical model of birdsong maintenance and control. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 70: 051911. PMID 15600660 DOI: 10.1103/Physreve.70.051911 |
0.733 |
|
| 2004 |
Abarbanel HD, Gibb L, Mindlin GB, Rabinovich MI, Talathi S. Spike timing and synaptic plasticity in the premotor pathway of birdsong. Biological Cybernetics. 91: 159-67. PMID 15378372 DOI: 10.1007/S00422-004-0495-1 |
0.729 |
|
| 2004 |
Abarbanel HD, Gibb L, Mindlin GB, Talathi S. Mapping neural architectures onto acoustic features of birdsong. Journal of Neurophysiology. 92: 96-110. PMID 15028750 DOI: 10.1152/Jn.01146.2003 |
0.724 |
|
| 2003 |
Abarbanel HD, Gibb L, Huerta R, Rabinovich MI. Biophysical model of synaptic plasticity dynamics. Biological Cybernetics. 89: 214-26. PMID 14504940 DOI: 10.1007/S00422-003-0422-X |
0.638 |
|
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