100 results for "kinematic decoding" · page 9 of 10 · ranked by relevance
…Culver, "Multisensory naturalistic decoding with high-density diffuse optical tomography," Neurophoton. 12…
This dataset contains cue-locked EEG recordings and behavioral event annotations from 43 healthy adults performing a random-dot kinematogram (RDK) task designed to dissociate low-level and high-level hierarchical priors during perceptual decision-making. The study examines how such priors bias behavior via signal detection theory and generalized drift-diffusion modeling, and how they modulate occipital oscillatory and aperiodic EEG activity. Participants also completed questionnaires assessing psychosis proneness and psychological flexibility traits.
…A decoding classifier was trained on the data from the game session…
…immediately following the 1366 ms decoding interval and lasts for 500 ms…
…and therefore are promising for decoding inner speech. This paper presents the…
This dataset comprises intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with subdural grid and depth electrodes, collected while they viewed grayscale and color visual stimuli varying in spatial and temporal properties. The recordings were designed to characterize temporal and spatial dynamics of neural responses in human visual cortex, including population receptive field mapping and category-selective responses. Pre-implantation T1-weighted MRI scans are also included for electrode localization. The dataset supports multiple published studies on visual cortical dynamics and adaptation.
…immediately following the 1366 ms decoding interval and lasts for 500 ms…
…learning via real-time neural decoding" (link pending) explores the results of…
A preprocessed EEG dataset comprising motor imagery recordings from 14 healthy participants performing imagined right-hand tapping, left-hand tapping, and rest tasks. The dataset contains 1,665 trials acquired at 1024 Hz using a 19-channel montage with standard 10-20 electrode placement. Data have been preprocessed with ICA artifact removal and frequency filtering, and include annotations for motor imagery classification and brain-computer interface applications.