The hippocampus as a predictive map

The hippocampus as a predictive map. Stachenfeld, K. L., Botvinick, M. M., & Gershman, S. J. Nature Neuroscience, 20(11):1643–1653, November, 2017.

Paper doi abstract bibtex

The authors show how predictive representations are useful for maximizing future reward, particularly in spatial domains. They develop a predictive-map model of hippocampal place cells and entorhinal grid cells that captures a wide variety of effects from human and rodent literature.

@article{stachenfeld_hippocampus_2017,
	title = {The hippocampus as a predictive map},
	volume = {20},
	copyright = {2017 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
	issn = {1546-1726},
	url = {https://www.nature.com/articles/nn.4650},
	doi = {10.1038/nn.4650},
	abstract = {The authors show how predictive representations are useful for maximizing future reward, particularly in spatial domains. They develop a predictive-map model of hippocampal place cells and entorhinal grid cells that captures a wide variety of effects from human and rodent literature.},
	language = {en},
	number = {11},
	urldate = {2021-08-27},
	journal = {Nature Neuroscience},
	author = {Stachenfeld, Kimberly L. and Botvinick, Matthew M. and Gershman, Samuel J.},
	month = nov,
	year = {2017},
	pages = {1643--1653},
}

Downloads: 0

{"_id":"rKLat6J3t8KiZ6Lyt","bibbaseid":"stachenfeld-botvinick-gershman-thehippocampusasapredictivemap-2017","author_short":["Stachenfeld, K. L.","Botvinick, M. M.","Gershman, S. J."],"bibdata":{"bibtype":"article","type":"article","title":"The hippocampus as a predictive map","volume":"20","copyright":"2017 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.","issn":"1546-1726","url":"https://www.nature.com/articles/nn.4650","doi":"10.1038/nn.4650","abstract":"The authors show how predictive representations are useful for maximizing future reward, particularly in spatial domains. They develop a predictive-map model of hippocampal place cells and entorhinal grid cells that captures a wide variety of effects from human and rodent literature.","language":"en","number":"11","urldate":"2021-08-27","journal":"Nature Neuroscience","author":[{"propositions":[],"lastnames":["Stachenfeld"],"firstnames":["Kimberly","L."],"suffixes":[]},{"propositions":[],"lastnames":["Botvinick"],"firstnames":["Matthew","M."],"suffixes":[]},{"propositions":[],"lastnames":["Gershman"],"firstnames":["Samuel","J."],"suffixes":[]}],"month":"November","year":"2017","pages":"1643–1653","bibtex":"@article{stachenfeld_hippocampus_2017,\n\ttitle = {The hippocampus as a predictive map},\n\tvolume = {20},\n\tcopyright = {2017 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},\n\tissn = {1546-1726},\n\turl = {https://www.nature.com/articles/nn.4650},\n\tdoi = {10.1038/nn.4650},\n\tabstract = {The authors show how predictive representations are useful for maximizing future reward, particularly in spatial domains. They develop a predictive-map model of hippocampal place cells and entorhinal grid cells that captures a wide variety of effects from human and rodent literature.},\n\tlanguage = {en},\n\tnumber = {11},\n\turldate = {2021-08-27},\n\tjournal = {Nature Neuroscience},\n\tauthor = {Stachenfeld, Kimberly L. and Botvinick, Matthew M. and Gershman, Samuel J.},\n\tmonth = nov,\n\tyear = {2017},\n\tpages = {1643--1653},\n}\n\n\n\n","author_short":["Stachenfeld, K. L.","Botvinick, M. M.","Gershman, S. J."],"key":"stachenfeld_hippocampus_2017","id":"stachenfeld_hippocampus_2017","bibbaseid":"stachenfeld-botvinick-gershman-thehippocampusasapredictivemap-2017","role":"author","urls":{"Paper":"https://www.nature.com/articles/nn.4650"},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/warren.pettine","dataSources":["zYjFbyFmZWKpRCD4j"],"keywords":[],"search_terms":["hippocampus","predictive","map","stachenfeld","botvinick","gershman"],"title":"The hippocampus as a predictive map","year":2017}