| Year |
Citation |
Score |
| 2023 |
Shinn M, Hu A, Turner L, Noble S, Preller KH, Ji JL, Moujaes F, Achard S, Scheinost D, Constable RT, Krystal JH, Vollenweider FX, Lee D, Anticevic A, Bullmore ET, et al. Functional brain networks reflect spatial and temporal autocorrelation. Nature Neuroscience. PMID 37095399 DOI: 10.1038/s41593-023-01299-3 |
0.65 |
|
| 2022 |
Bugeon S, Duffield J, Dipoppa M, Ritoux A, Prankerd I, Nicoloutsopoulos D, Orme D, Shinn M, Peng H, Forrest H, Viduolyte A, Reddy CB, Isogai Y, Carandini M, Harris KD. Publisher Correction: A transcriptomic axis predicts state modulation of cortical interneurons. Nature. PMID 36008728 DOI: 10.1038/s41586-022-05209-8 |
0.594 |
|
| 2022 |
Bugeon S, Duffield J, Dipoppa M, Ritoux A, Prankerd I, Nicoloutsopoulos D, Orme D, Shinn M, Peng H, Forrest H, Viduolyte A, Reddy CB, Isogai Y, Carandini M, Harris KD. A transcriptomic axis predicts state modulation of cortical interneurons. Nature. 607: 330-338. PMID 35794483 DOI: 10.1038/s41586-022-04915-7 |
0.633 |
|
| 2022 |
Shinn M, Lee D, Murray JD, Seo H. Transient neuronal suppression for exploitation of new sensory evidence. Nature Communications. 13: 23. PMID 35013222 DOI: 10.1038/s41467-021-27697-4 |
0.617 |
|
| 2020 |
Shinn M, Ehrlich D, Lee D, Murray JD, Seo H. Confluence of timing and reward biases in perceptual decision-making dynamics. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 32839233 DOI: 10.1523/Jneurosci.0544-20.2020 |
0.716 |
|
| 2020 |
Shinn M, Lam NH, Murray JD. A flexible framework for simulating and fitting generalized drift-diffusion models. Elife. 9. PMID 32749218 DOI: 10.7554/Elife.56938 |
0.698 |
|
| 2020 |
Burt JB, Helmer M, Shinn M, Anticevic A, Murray JD. Generative modeling of brain maps with spatial autocorrelation. Neuroimage. 117038. PMID 32585343 DOI: 10.1016/J.Neuroimage.2020.117038 |
0.628 |
|
| 2020 |
Shinn M, Lam NH, Murray JD. Author response: A flexible framework for simulating and fitting generalized drift-diffusion models Elife. DOI: 10.7554/Elife.56938.Sa2 |
0.681 |
|
| 2018 |
Seidlitz J, Váša F, Shinn M, Romero-Garcia R, Whitaker KJ, Vértes PE, Wagstyl K, Kirkpatrick Reardon P, Clasen L, Liu S, Messinger A, Leopold DA, Fonagy P, Dolan RJ, Jones PB, et al. Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation. Neuron. 97: 231-247.e7. PMID 29276055 DOI: 10.1016/J.Neuron.2017.11.039 |
0.674 |
|
| 2017 |
Romero-Garcia R, Whitaker KJ, Váša F, Seidlitz J, Shinn M, Fonagy P, Dolan RJ, Jones PB, Goodyer IM. Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex. Neuroimage. PMID 29274746 DOI: 10.1016/J.Neuroimage.2017.12.060 |
0.631 |
|
| 2017 |
Váša F, Seidlitz J, Romero-Garcia R, Whitaker KJ, Rosenthal G, Vértes PE, Shinn M, Alexander-Bloch A, Fonagy P, Dolan RJ, Jones PB, Goodyer IM, Sporns O, Bullmore ET. Adolescent Tuning of Association Cortex in Human Structural Brain Networks. Cerebral Cortex (New York, N.Y. : 1991). 1-14. PMID 29088339 DOI: 10.1093/Cercor/Bhx249 |
0.668 |
|
| 2017 |
Shinn M, Romero-Garcia R, Seidlitz J, Váša F, Vértes PE, Bullmore E. Versatility of nodal affiliation to communities. Scientific Reports. 7: 4273. PMID 28655911 DOI: 10.1038/S41598-017-03394-5 |
0.62 |
|
| 2017 |
Nykamp DQ, Friedman D, Shaker S, Shinn M, Vella M, Compte A, Roxin A. Mean-field equations for neuronal networks with arbitrary degree distributions. Physical Review. E. 95: 042323. PMID 28505854 DOI: 10.1103/Physreve.95.042323 |
0.318 |
|
| Show low-probability matches. |