New machine learning methods for modeling nonlinear interactions in neural data

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New machine learning methods for modeling nonlinear interactions in neural data

Jamshidi Idaji, M. (2022). New machine learning methods for modeling nonlinear interactions in neural data. PhD Thesis, TU Berlin, Germany.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-274A-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-274B-6

Genre: Thesis

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Creators:
Jamshidi Idaji, Mina¹, Author
Nikulin, Vadim V.¹, Advisor

Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549

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Dates: Accepted: 2022-09-13Date issued: 2022

Publication Status: Issued

Pages: -

Publishing info: TU Berlin, Germany

Table of Contents: -

Rev. Type: -

Identifiers: -

Degree: PhD

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