Author

Konrad P Kording

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:deep learning· 1 Assay:electrophysiology· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Adam H Marblestone· 1 shared Adam Henry Marblestone· 1 shared Arun Jayaraman· 1 shared Bradley M Zamft· 1 shared David C Mohr· 1 shared Edward S Boyden· 1 shared George M Church· 1 shared Greg Wayne· 1 shared

Activity by Year

2014-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperNeuroscience

Adam H Marblestone

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3 papers

Recent·Most cited

Towards an integration of deep learning and neuroscience

Adam Henry Marblestone, Greg Wayne, Konrad P Kording

This paper explores how deep learning concepts like structured architectures and diverse cost functions can inform neuroscience by hypothesizing that the brain optimizes diverse cost functions within pre-structured architectures for efficient learning.

Frontiers in Computational Neuroscience · Sep 14, 2016Peer-reviewedNeuroscience

Voodoo Machine Learning for Clinical Predictions

Sohrab Saeb, Luca Lonini, Arun Jayaraman, David C Mohr, Konrad P Kording

This study compares record-wise and subject-wise cross-validation methods, finding that record-wise often overestimates prediction accuracy in clinical settings using wearable data.

bioRxiv · Jun 19, 2016Bioinformatics

Spatial Information in Large-Scale Neural Recordings

Thaddeus R Cybulski, Joshua I Glaser, Adam H Marblestone, Bradley M Zamft, Edward S Boyden, George M Church, Konrad P Kording

The paper develops a framework using Fisher information to quantify spatial distinguishability of neuronal activity and applies it to neural recording methods.

bioRxiv · Feb 21, 2014Neuroscience