Daniel Birman, Ph.D.

Affiliations: 
2008-2012 BA, Biology Cornell University, Ithaca, NY, United States 
 2014-2019 PhD, Psychology (Cognitive Neuroscience) Stanford University, Palo Alto, CA 
 2020-2024 Postdoc, Biological Structure University of Washington, Seattle, Seattle, WA 
 2024- SWE, Scientific Computing Allen Institute for Neural Dynamics 
Website:
https://danbirman.com
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Publications

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Birman D, Chapuis G, Faulkner M, et al. (2024) Interactive data exploration websites for large-scale electrophysiology. Biorxiv : the Preprint Server For Biology
Birman D, Fox KJ, Gardner JL. (2023) Poster Session I: Gain, not changes in spatial receptive field properties, improves task performance in a neural network attention model. Journal of Vision. 23: 26
Birman D, Yang KJ, West SJ, et al. (2023) Pinpoint: trajectory planning for multi-probe electrophysiology and injections in an interactive web-based 3D environment. Biorxiv : the Preprint Server For Biology
Fox KJ, Birman D, Gardner JL. (2023) Gain, not concomitant changes in spatial receptive field properties, improves task performance in a neural network attention model. Elife. 12
Birman D, Gardner JL. (2019) A flexible readout mechanism of human sensory representations. Nature Communications. 10: 3500
Birman D, Gardner JL. (2019) Putting spatial and feature-based attention on a shared perceptual metric Journal of Vision. 19: 269a
Birman D, Gardner JL. (2018) A quantitative framework for motion visibility in human cortex. Journal of Neurophysiology
Esteban O, Birman D, Schaer M, et al. (2017) MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. Plos One. 12: e0184661
Birman D, Gardner JL. (2015) Parietal and prefrontal: categorical differences? Nature Neuroscience. 19: 5-7
Schultze-Kraft M, Birman D, Rusconi M, et al. (2015) The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences of the United States of America
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