Daniel Birman, Ph.D. - Publications
Affiliations: | 2008-2012 | BA, Biology | Cornell University, Ithaca, NY, United States |
2014-2019 | PhD, Psychology (Cognitive Neuroscience) | Stanford University, Palo Alto, CA | |
2020- | Postdoctoral Fellow, Biological Structure | University of Washington, Seattle, Seattle, WA |
Website:
https://danbirman.comYear | Citation | Score | |||
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2023 | Birman D, Yang KJ, West SJ, Karsh B, Browning Y, Siegle JH, Steinmetz NA. Pinpoint: trajectory planning for multi-probe electrophysiology and injections in an interactive web-based 3D environment. Biorxiv : the Preprint Server For Biology. PMID 37503284 DOI: 10.1101/2023.07.14.548952 | 0.526 | |||
2023 | Fox KJ, Birman D, Gardner JL. Gain, not concomitant changes in spatial receptive field properties, improves task performance in a neural network attention model. Elife. 12. PMID 37184221 DOI: 10.7554/eLife.78392 | 0.526 | |||
2019 | Birman D, Gardner JL. A flexible readout mechanism of human sensory representations. Nature Communications. 10: 3500. PMID 31375665 DOI: 10.1038/S41467-019-11448-7 | 0.567 | |||
2019 | Birman D, Gardner JL. Putting spatial and feature-based attention on a shared perceptual metric Journal of Vision. 19: 269a. DOI: 10.1167/19.10.269A | 0.522 | |||
2018 | Birman D, Gardner JL. A quantitative framework for motion visibility in human cortex. Journal of Neurophysiology. PMID 29995608 DOI: 10.1152/Jn.00433.2018 | 0.553 | |||
2017 | Esteban O, Birman D, Schaer M, Koyejo OO, Poldrack RA, Gorgolewski KJ. MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. Plos One. 12: e0184661. PMID 28945803 DOI: 10.1371/Journal.Pone.0184661 | 0.336 | |||
2015 | Birman D, Gardner JL. Parietal and prefrontal: categorical differences? Nature Neuroscience. 19: 5-7. PMID 26713741 DOI: 10.1038/Nn.4204 | 0.504 | |||
2015 | Schultze-Kraft M, Birman D, Rusconi M, Allefeld C, Görgen K, Dähne S, Blankertz B, Haynes JD. The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences of the United States of America. PMID 26668390 DOI: 10.1073/Pnas.1513569112 | 0.455 | |||
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