Jonathan P. Newman, PhD
Affiliations: | Massachusetts Institute of Technology, Cambridge, MA, United States |
Area:
NeuroengineeringWebsite:
http://www.mit.edu/~jpnewman/Google:
"Jonathan Newman"Mean distance: 13.6 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Steve M. Potter | grad student | 2007-2014 | Georgia Tech |
| Matthew A. Wilson | post-doc | 2014- | MIT |
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Publications
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| Zhang J, Newman J, Wang Z, et al. (2024) Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy. Nature Communications. 15: 4480 |
| Newman JP, Zhang J, Cuevas-López A, et al. (2023) A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior. Biorxiv : the Preprint Server For Biology |
| Zhang J, Newman J, Wang Z, et al. (2023) Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy. Biorxiv : the Preprint Server For Biology |
| Zhang J, Newman JP, Wang X, et al. (2020) A closed-loop, all-electronic pixel-wise adaptive imaging system for high dynamic range videography. Ieee Transactions On Circuits and Systems. I, Regular Papers : a Publication of the Ieee Circuits and Systems Society. 67: 1803-1814 |
| Newman JP, Voigts J, Borius M, et al. (2020) Twister3: a simple and fast microwire twister. Journal of Neural Engineering |
| Voigts J, Newman JP, Wilson MA, et al. (2020) An easy-to-assemble, robust, and lightweight drive implant for chronic tetrode recordings in freely moving animals. Journal of Neural Engineering |
| Zhang J, Newman JP, Wang X, et al. (2020) A Closed-Loop, All-Electronic Pixel-Wise Adaptive Imaging System for High Dynamic Range Videography Ieee Transactions On Circuits and Systems I: Regular Papers. 67: 1803-1814 |
| Newman JP, Fong MF, Millard DC, et al. (2015) Optogenetic feedback control of neural activity. Elife. 4: e07192 |
| Fong MF, Newman JP, Potter SM, et al. (2015) Upward synaptic scaling is dependent on neurotransmission rather than spiking. Nature Communications. 6: 6339 |
| Siegle JH, Hale GJ, Newman JP, et al. (2015) Neural ensemble communities: open-source approaches to hardware for large-scale electrophysiology. Current Opinion in Neurobiology. 32: 53-59 |