Topic: waveform shape

Precise identification of in-vivo cell types using electrophysiological signals would allow for the simultaneous monitoring of different cell populations during behavior. Current approaches typically classify waveforms into broad- and narrow-spiking. However, these methods rarely augment analysis of waveforms with other physiological properties (e.g., inter-spike intervals) or validate against “ground truth” obtained through optotagging. We need a principled and validated approach to combine multiple physiological properties to delineate cell types in-vivo in an unsupervised manner. Our appro

Neural oscillations play a crucial role in various cognitive processes within the mammalian brain. Beyond the spectral properties typically reported in the literature, the waveform shape of oscillatory activity offers valuable insights into local physiology, and is related to the underlying cortical circuitry and to dynamically changing or aberrant cortical states. Notwithstanding the importance of oscillatory waveform shape to gain insights into cortical physiology, how the waveform shape of ongoing oscillations differs across distant yet functionally and anatomically connected cortical areas