100 results for "learning from label proportions" · page 2 of 10 · ranked by relevance
…Continuous EEG from 12 with ICA weights. ### Subjects "Twelve observers took part…
…Stimuli are drawn from the THINGS database (Hebart et al. 2019). Each…
…The dataset includes four negative emotions (anger, fear, disgust, sadness) from Ekman…
…Here, we isolated postdecisional from decisional contributions to metacognition by analyzing neural…
…For learning trial 1, participants are placed at a random location at…
This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.
…Only de-identified EEG data and mortality labels are included. Participant Information…
This dataset comprises high-density and sparse functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study investigates whether high-density multi-distance fNIRS configurations enhance detection of brain activity compared to conventional sparse probe arrangements. Raw neuroimaging data from multiple participants are provided in BIDS format to support reproducible analysis of cognitive control mechanisms.
…drone control, adaptive learning, difficulty regulation, visuomotor learning - **Environment**: indoor laboratory - **Online…
…For learning trial 1, participants are placed at a random location at…