Data from: State-aware detection of sensory stimuli in the cortex of the awake mouse
| Main Authors: | Sederberg, Audrey J., Pala, Aurelie, Zheng, He J. V., He, Biyu J., Stanley, Garrett B. |
|---|---|
| Format: | info dataset Journal |
| Terbitan: |
, 2019
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/4970851 |
Daftar Isi:
- Cortical responses to sensory inputs vary across repeated presentations of identical stimuli, but how this trial-to-trial variability impacts detection of sensory inputs is not fully understood. Using multi-channel local field potential (LFP) recordings in primary somatosensory cortex (S1) of the awake mouse, we optimized a data-driven cortical state classifier to predict single-trial sensory-evoked responses, based on features of the spontaneous, ongoing LFP recorded across cortical layers. Our findings show that, by utilizing an ongoing prediction of the sensory response generated by this state classifier, an ideal observer improves overall detection accuracy and generates robust detection of sensory inputs across various states of ongoing cortical activity in the awake brain, which could have implications for variability in the performance of detection tasks across brain states.
- analysis_scripts_and_functionsProcessing scripts for state-dependent detection analysis of cortical LFP in awake mouse.code_files.zipcsd_allchannelsevoked responses and pre-stimulus activity across all channels (CSD)csd_dimReduce.ziplfp_dimReduceevoked responses and pre-stimulus activity across all channels (LFP)lfp_cont_l4channels