Riemannian Geometry Boosts Representational Similarity Analyses of Dense Neural Time Series (bibtex)

by Barachant, Alexandre and King, Jean-Remi

Reference:

Barachant, Alexandre and King, Jean-Remi (2017). Riemannian Geometry Boosts Representational Similarity Analyses of Dense Neural Time Series. BioRxiv Cold Spring Harbor Laboratory, 232710.

Bibtex Entry:

@article{barachant2017riemannian,
	author = {Barachant, Alexandre and King, Jean-Remi},
	date-added = {2020-02-19 20:51:39 +0100},
	date-modified = {2020-02-19 20:51:39 +0100},
	journal = {BioRxiv},
	pages = {232710},
	publisher = {Cold Spring Harbor Laboratory},
	title = {Riemannian Geometry Boosts Representational Similarity Analyses of Dense Neural Time Series},
	year = {2017}}