Automated Author ProfileLee, Eric K.
Allen Institute, Seattle, WA, United States of America0000-0002-7166-0909
Lee, Eric K.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 8.6 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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
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
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
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