Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kameron Decker Harris"'
Publikováno v:
eLife, Vol 12 (2023)
The cerebellar granule cell layer has inspired numerous theoretical models of neural representations that support learned behaviors, beginning with the work of Marr and Albus. In these models, granule cells form a sparse, combinatorial encoding of di
Externí odkaz:
https://doaj.org/article/a73fb784104d4403bb836071ed4410e9
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 10, p e1010484 (2022)
Brains must represent the outside world so that animals survive and thrive. In early sensory systems, neural populations have diverse receptive fields structured to detect important features in inputs, yet significant variability has been ignored in
Externí odkaz:
https://doaj.org/article/0426aa9570bc4530b554848c0e3d936b
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 64, Iss 0, Pp 1-14 (2012)
A simplified model of natural convection, similar to the Lorenz system, is compared to computational fluid dynamics simulations of a thermosyphon in order to test data assimilation (DA) methods and better understand the dynamics of convection. The th
Externí odkaz:
https://doaj.org/article/9734e5ea339c42b0a913d166095a59cd
Autor:
Lewis Mitchell, Morgan R Frank, Kameron Decker Harris, Peter Sheridan Dodds, Christopher M Danforth
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e64417 (2013)
We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, ge
Externí odkaz:
https://doaj.org/article/3dc2f4e369bb460d8337c0d57b65548f
Autor:
Isabel M Kloumann, Christopher M Danforth, Kameron Decker Harris, Catherine A Bliss, Peter Sheridan Dodds
Publikováno v:
PLoS ONE, Vol 7, Iss 1, p e29484 (2012)
Over the last million years, human language has emerged and evolved as a fundamental instrument of social communication and semiotic representation. People use language in part to convey emotional information, leading to the central and contingent qu
Externí odkaz:
https://doaj.org/article/05d4ad986d484af3a1948044f95f46fb
Autor:
Peter Sheridan Dodds, Kameron Decker Harris, Isabel M Kloumann, Catherine A Bliss, Christopher M Danforth
Publikováno v:
PLoS ONE, Vol 6, Iss 12, p e26752 (2011)
Individual happiness is a fundamental societal metric. Normally measured through self-report, happiness has often been indirectly characterized and overshadowed by more readily quantifiable economic indicators such as gross domestic product. Here, we
Externí odkaz:
https://doaj.org/article/b3549c3e58314ab6a3d234b5cdefc5ab
The cerebellar granule cell layer has inspired numerous theoretical models of neural representations that support learned behaviors, beginning with the work of Marr and Albus. In these models, granule cells form a sparse, combinatorial encoding of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1c8923c89061d604cd994e6e66971c0
https://doi.org/10.1101/2022.08.15.504040
https://doi.org/10.1101/2022.08.15.504040
Publikováno v:
SIAM Journal on Applied Dynamical Systems. 20:2335-2358
We present a windowed technique to learn parsimonious time-varying autoregressive models from multivariate timeseries. This unsupervised method uncovers interpretable spatiotemporal structure in data via non-smooth and non-convex optimization. In eac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58335914d6fd388c4ed90da59ab66b3b
https://doi.org/10.1137/20m1338058
https://doi.org/10.1137/20m1338058
Autor:
Jennifer D. Whitesell, Kameron Decker Harris, Nile Graddis, Joseph E. Knox, Stefan Mihalas, Hongkui Zeng, Eric Shea-Brown, Julie A. Harris
Publikováno v:
Network Neuroscience
Knowledge of mesoscopic brain connectivity is important for understanding inter- and intraregion information processing. Models of structural connectivity are typically constructed and analyzed with the assumption that regions are homogeneous. We ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f6ce9c8b820434276e40a613d1751f9
http://europepmc.org/articles/PMC6372022
http://europepmc.org/articles/PMC6372022
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Population histories are encoded by genomic variation among modern individuals. Population genetic inference methods, all theoretically rooted in probabilistic population models, can recover complex demographic histories from genomic var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17b3d4594596d73e2b27f75ceb9aea4
https://doi.org/10.1073/pnas.2013798118
https://doi.org/10.1073/pnas.2013798118