Emily L. Mackevicius
Affiliations: | Massachusetts Institute of Technology, Cambridge, MA, United States |
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"Emily Mackevicius"Mean distance: 15.01 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Sliman J. Bensmaia | research assistant | 2010-2011 | Chicago |
| Michale S. Fee | grad student | 2011- | MIT |
| Dmitriy Aronov | post-doc | 2018- |
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Publications
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| Chettih SN, Mackevicius EL, Hale S, et al. (2023) Barcoding of episodic memories in the hippocampus of a food-caching bird. Biorxiv : the Preprint Server For Biology |
| Applegate MC, Gutnichenko KS, Mackevicius EL, et al. (2023) An entorhinal-like region in food-caching birds. Current Biology : Cb. 33: 2465-2477.e7 |
| Mackevicius EL, Gu S, Denisenko NI, et al. (2023) Self-organization of songbird neural sequences during social isolation. Elife. 12 |
| Fang C, Aronov D, Abbott LF, et al. (2023) Neural learning rules for generating flexible predictions and computing the successor representation. Elife. 12 |
| Applegate MC, Gutnichenko KS, Mackevicius EL, et al. (2023) An entorhinal-like region in food-caching birds. Biorxiv : the Preprint Server For Biology |
| Mackevicius EL, Happ MTL, Fee MS. (2020) An avian cortical circuit for chunking tutor song syllables into simple vocal-motor units. Nature Communications. 11: 5029 |
| Mackevicius EL, Bahle AH, Williams AH, et al. (2019) Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience. Elife. 8 |
| Mackevicius EL, Bahle AH, Williams AH, et al. (2018) Author response: Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience Elife |
| Mackevicius EL, Fee MS. (2017) Building a state space for song learning. Current Opinion in Neurobiology. 49: 59-68 |
| Okubo TS, Mackevicius EL, Payne HL, et al. (2015) Growth and splitting of neural sequences in songbird vocal development. Nature |