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Inferring brain-wide interactions using data-constrained recurrent neural network models
View ORCID ProfileMatthew G. Perich, Charlotte Arlt, Sofia Soares, Megan E. Young, View ORCID ProfileClayton P. Mosher, View ORCID ProfileJuri Minxha, Eugene Carter, View ORCID ProfileUeli Rutishauser, View ORCID ProfilePeter H. Rudebeck, View ORCID ProfileChristopher D. Harvey, View ORCID ProfileKanaka Rajan
doi: https://doi.org/10.1101/2020.12.18.423348
Matthew G. Perich
1Icahn School of Medicine at Mount Sinai, New York, NY, USA
Charlotte Arlt
2Harvard Medical School, Boston, MA, USA
Sofia Soares
2Harvard Medical School, Boston, MA, USA
Megan E. Young
1Icahn School of Medicine at Mount Sinai, New York, NY, USA
Clayton P. Mosher
1Icahn School of Medicine at Mount Sinai, New York, NY, USA
3Cedars-Sinai Medical Center, Los Angeles, CA, USA
Juri Minxha
3Cedars-Sinai Medical Center, Los Angeles, CA, USA
4California Institute of Technology, Pasadena, CA
Eugene Carter
1Icahn School of Medicine at Mount Sinai, New York, NY, USA
Ueli Rutishauser
3Cedars-Sinai Medical Center, Los Angeles, CA, USA
4California Institute of Technology, Pasadena, CA
Peter H. Rudebeck
1Icahn School of Medicine at Mount Sinai, New York, NY, USA
Christopher D. Harvey
2Harvard Medical School, Boston, MA, USA
Kanaka Rajan
1Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Posted March 11, 2021.
Inferring brain-wide interactions using data-constrained recurrent neural network models
Matthew G. Perich, Charlotte Arlt, Sofia Soares, Megan E. Young, Clayton P. Mosher, Juri Minxha, Eugene Carter, Ueli Rutishauser, Peter H. Rudebeck, Christopher D. Harvey, Kanaka Rajan
bioRxiv 2020.12.18.423348; doi: https://doi.org/10.1101/2020.12.18.423348
Inferring brain-wide interactions using data-constrained recurrent neural network models
Matthew G. Perich, Charlotte Arlt, Sofia Soares, Megan E. Young, Clayton P. Mosher, Juri Minxha, Eugene Carter, Ueli Rutishauser, Peter H. Rudebeck, Christopher D. Harvey, Kanaka Rajan
bioRxiv 2020.12.18.423348; doi: https://doi.org/10.1101/2020.12.18.423348
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