87 results for "adaptive neurostimulation" · page 2 of 9 · ranked by relevance
…visual (game interface with real-time adaptive Riemannian RMDM classifier) - **Stimulus type…
This dataset comprises MEG, MRI, EMG, and eye-tracking data from 31 healthy right-handed adults performing a sequential finger tapping task (SFTT) to study early motor skill learning, overnight consolidation, and longer-term retention. Participants completed an initial MEG training session followed by up to two retest sessions approximately 24 hours and 30 days later, with resting-state MEG collected before and after each practice block. The dataset supports investigation of neural correlates of motor skill acquisition and memory consolidation.
…This approximation was then used as a seed value for an adaptive…
This dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
[ recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).
…Real-time adaptive RMDM classifier used for assessing participants' command with calibration…
This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
…drone control, adaptive learning, difficulty regulation, visuomotor learning - **Environment**: indoor laboratory - **Online…
This dataset contains intracranial electrophysiology recordings from the ventral posterolateral (VPL) thalamus of macaque monkeys, obtained using a NeuroNexus multi-site probe on a Blackrock Cerebus recording system. Recordings were made during focused ultrasound (FUS) neuromodulation targeted at either VPL or insular cortex, and during tactile stimulation of the contralateral hand. The dataset supports investigation of how transcranial focused ultrasound modulates spiking and local field potential activity in the primate thalamus.