Automated Author Profile

Lee, Eric K.

Allen Institute, Seattle, WA, United States of America
0000-0002-7166-0909

Current S-Index

8.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.1

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

7

Total citations to the author's datasets

Total Mentions

1

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Dataset: Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex

This dataset contains the calcium imaging and behavioral data analyzed in our paper, "Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex". These data were obtained at the Allen Brain Observatory as part of the OpenScope project, which is operated by the Allen Institute. Analysis code is available at https://github.com/wmayner/openscope-differentiation.

Authors

  • Mayner, William G. P. ;
  • Marshall, William ;
  • Billeh, Yazan N. ;
  • Gandhi, Saurabh R. ;
  • Caldejon, Shiella ;
  • Cho, Andrew ;
  • Griffin, Fiona ;
  • Hancock, Nicole ;
  • Lambert, Sophie ;
  • Lee, Eric K. ;
  • Luviano, Jennifer A. ;
  • Mace, Kayla ;
  • Nayan, Chelsea ;
  • Nguyen, Thuyanh V. ;
  • North, Kat ;
  • Seid, Sam ;
  • Williford, Ali ;
  • Cirelli, Chiara ;
  • Groblewski, Peter A. ;
  • Lecoq, Jerome ;
  • Tononi, Giulio ;
  • Koch, Christof ;
  • Arkhipov, Anton
1 Citation1 Mention77% FAIR2.5 Dataset Index
10.5281/zenodo.47345802021

Dataset: Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex

This dataset contains the calcium imaging and behavioral data analyzed in our paper, "Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex". These data were obtained at the Allen Brain Observatory as part of the OpenScope project, which is operated by the Allen Institute. Analysis code is available at https://github.com/wmayner/openscope-differentiation.

Authors

  • Mayner, William G. P. ;
  • Marshall, William ;
  • Billeh, Yazan N. ;
  • Gandhi, Saurabh R. ;
  • Caldejon, Shiella ;
  • Cho, Andrew ;
  • Griffin, Fiona ;
  • Hancock, Nicole ;
  • Lambert, Sophie ;
  • Lee, Eric K. ;
  • Luviano, Jennifer A. ;
  • Mace, Kayla ;
  • Nayan, Chelsea ;
  • Nguyen, Thuyanh V. ;
  • North, Kat ;
  • Seid, Sam ;
  • Williford, Ali ;
  • Cirelli, Chiara ;
  • Groblewski, Peter A. ;
  • Lecoq, Jerome ;
  • Tononi, Giulio ;
  • Koch, Christof ;
  • Arkhipov, Anton
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5281/zenodo.57815672021

WaveMAP analysis of extracellular waveforms from monkey premotor cortex during decision-making (Version: 5)

Cortical circuits are thought to contain a large number of cell types that coordinate to produce behavior. Current in vivo methods rely on clustering of specified features of extracellular waveforms to identify putative cell types, but these capture only a small amount of variation. Here, we develop a new method (WaveMAP) that combines non-linear dimensionality reduction with graph clustering to identify putative cell types. We apply WaveMAP to extracellular waveforms recorded from dorsal premotor cortex of macaque monkeys performing a decision-making task. Using WaveMAP, we robustly establish eight waveform clusters and show that these clusters recapitulate previously identified narrow- and broad-spiking types while revealing previously unknown diversity within these subtypes. The eight clusters exhibited distinct laminar distributions, characteristic firing rate patterns, and decision-related dynamics. Such insights were weaker when using feature-based approaches. WaveMAP therefore provides a more nuanced understanding of the dynamics of cell types in cortical circuits.

Authors

  • Lee, Eric ;
  • Balasubramanian, Hymavathy ;
  • Tsolias, Alexandra ;
  • Anakwe, Stephanie ;
  • Medalla, Maria ;
  • Shenoy, Krishna ;
  • Chandrasekaran, Chandramouli
5 Citations0 Mentions77% FAIR3.5 Dataset Index
10.5061/dryad.z612jm6cf2021

Dataset: Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex

This dataset contains the calcium imaging and behavioral data analyzed in our paper, "Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex". These data were obtained at the Allen Brain Observatory as part of the OpenScope project, which is operated by the Allen Institute. Analysis code is available at https://github.com/wmayner/openscope-differentiation.

Authors

  • Mayner, William G. P. ;
  • Marshall, William ;
  • Billeh, Yazan N. ;
  • Gandhi, Saurabh R. ;
  • Caldejon, Shiella ;
  • Cho, Andrew ;
  • Griffin, Fiona ;
  • Hancock, Nicole ;
  • Lambert, Sophie ;
  • Lee, Eric K. ;
  • Luviano, Jennifer A. ;
  • Mace, Kayla ;
  • Nayan, Chelsea ;
  • Nguyen, Thuyanh V. ;
  • North, Kat ;
  • Seid, Sam ;
  • Williford, Ali ;
  • Cirelli, Chiara ;
  • Groblewski, Peter A. ;
  • Lecoq, Jerome ;
  • Tononi, Giulio ;
  • Koch, Christof ;
  • Arkhipov, Anton
1 Citation0 Mentions77% FAIR2.0 Dataset Index
10.5281/zenodo.47345812021