(variable) Frequency-based Layer Identification Procedure (FLIP and vFLIP) for spectrolaminar analysis

The mammalian cerebral cortex is anatomically organized into a six-layer
motif. In this dataset and associated paper (Mendoza-Halliday et al.,
2023) we show that a corresponding laminar motif of neuronal activity
patterns exists across the cortex in the power of local field potentials
(LFP). Using laminar probes, we recorded LFPs in five macaque monkeys in
14 cortical areas across the cortical hierarchy. The laminar locations of
recordings were histologically identified via electrolytic lesions. Across
all areas, we found a ubiquitous spectrolaminar pattern characterized by
an increasing deep-to-superficial layer gradient of high-frequency power
peaking in layers 2/3 and an increasing superficial-to-deep gradient of
alpha-beta power peaking in layers 5/6. Our results suggest the existence
of a canonical layer- and frequency-based mechanism for cortical
computation. To facilitate the detection of these spectrolaminar patterns,
we are releasing data associated with "Study 1" and "Study
2" as reported in Mendoza-Halliday et al., 2023. This comprises
relative power of LFPs recorded in 4 macaque monkeys from areas V4, 7A,
MT, MST, LIP, and LPFC. The FLIP and vFLIP algorithms were created to
facilitate electrophysiological characterization of cortical layers based
on power analysis of the local field potential recordings (LFP) that are
provided in these datasets. The algorithms can also be used to perform the
same analysis on any other multi-channel LFP dataset. We have verified
that the spectrolaminar pattern is highly preserved in macaque monkeys,
marmosets, and humans, but is more dissimilar in mouse.