A ubiquitous spectrolaminar motif across independent studies, including in the Mackey et al. dataset
Major, A. J.; Abdaltawab, A.; Phillips, J. M.; Wang, T.; Lee, E. K.; Lichtenfeld, M. J.; Chandrasekaran, C.; Saalmann, Y. B.; Maier, A.; Desimone, R.; Miller, E. K.; Bastos, A. M.; Mendoza-Halliday, D.
Show abstract
Our study (Mendoza-Halliday et al., 2024) made two contributions: (1) discovery of a ubiquitous cortical motif and (2) a tool derived from it--the Frequency-based Layer Identification Procedure (FLIP and vFLIP). Mackey et al. critique the tool, questioning its advantage over classic current source density (CSD) analysis, and reason backwards to challenge the motifs ubiquity. In our rebuttal, we confirm the spectrolaminar motif in diverse cortical areas using data from multiple research groups (who joined us in this rebuttal) as well as Mackey et al.s own dataset. Additionally, we introduce vFLIP2, an improved version of our tool that addresses their comments. It reliably identified and localized the motif in our data and Mackey et al.s data. Our findings reaffirm the motifs ubiquity. We value Mackey et al.s comments, which helped refine our tool.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Recurrent pattern completion drives the neocortical representation of sensory inference 93%
- Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex 93%
- Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing 93%
Similar papers in this journal
- SHIELD: Skull-shaped hemispheric implants enabling large-scale-electrophysiology datasets in the mouse brain 95%
- Distinct feedforward and feedback pathways for cell-type specific attention effects 94%
- A shared linguistic space for transmitting our thoughts from brain to brain in natural conversations 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.