Robin Gutzen
2019-05-06
The local field potential (LFP) reflects activity of many neurons in the vicinity of the recording electrode
lowpass filtered to reduce the influence of spikes (~250Hz)
overcoming under sampling?
ephatic coupling?
beta band: 13-30Hz
(Rubino et al. 2006) there are planar phase waves with preferred directions (M1)
(Denker et al. 2018, Rule et al. 2018) types of waves: planar, synchronous, circular, radial, random
(Townsend et al. 2015, Denker et al. 2018) wave type, propagation velocity, beta power, and behavior correlate
(Townsend et al. 2015) there are preferred transitions between wave types
(Huang et al. 2010) different frequencies are dominant for different wave types
(Denker et al. 2011) phase locking of spikes, stronger for unitary events
(Vinck et al. 2019) gamma phase locking is tuned to orientation (V1)
can we find similar wave dynamics in other datasets (tasks, areas)?
how to best characterize the wave dynamics?
investigate relationship of beta power to wave properties
investigate relationship of wave properties to behavior/state
are the findings consistent in other frequency bands?
use wave dynamics to calibrate/validate models
what is the LFP relation to spikes (phase locking, location)?
implement and compare methods for wave characterization
apply the analysis to V4A data
compare wave characteristics to spike pattern
use wave characteristic for model validation