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Page 1
Deep learning approaches for neural decoding across architectures and recording modalities.
Brief Bioinform. 2021 Mar 22;22(2):1577-1591. doi: 10.1093/bib/bbaa355.
Brief Bioinform. 2021.
PMID: 33372958
Review.
Improved inference in coupling, encoding, and decoding models and its consequence for neuroscientific interpretation.
Sachdeva PS, Livezey JA, Dougherty ME, Gu BM, Berke JD, Bouchard KE.
Sachdeva PS, et al. Among authors: livezey ja.
J Neurosci Methods. 2021 Jul 1;358:109195. doi: 10.1016/j.jneumeth.2021.109195. Epub 2021 Apr 24.
J Neurosci Methods. 2021.
PMID: 33905791
Free article.
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Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise.
Sachdeva PS, Livezey JA, DeWeese MR.
Sachdeva PS, et al. Among authors: livezey ja.
Neural Comput. 2020 Jul;32(7):1239-1276. doi: 10.1162/neco_a_01287. Epub 2020 May 20.
Neural Comput. 2020.
PMID: 32433901
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Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex.
Livezey JA, Bouchard KE, Chang EF.
Livezey JA, et al.
PLoS Comput Biol. 2019 Sep 16;15(9):e1007091. doi: 10.1371/journal.pcbi.1007091. eCollection 2019 Sep.
PLoS Comput Biol. 2019.
PMID: 31525179
Free PMC article.
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