100 results for "neural decoding" · page 7 of 10 · ranked by relevance
…A decoding classifier was trained on the data from the game session…
…CNN, Convolutional Neural Network Feature extraction: EEG2Code bitwise decoding Cross-Validation ---------------- Evaluation…
…Optimizing learning via real-time neural decoding" (link pending) explores the results…
Imported from OpenNeuro ds002718
…Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across…
MULTI-CLARID is a multimodal neuroimaging dataset combining simultaneous fMRI and EEG recordings from participants performing an auditory category learning task and resting-state fMRI. The dataset includes 64-channel EEG (63 head channels plus ECG) with physiological monitoring (EOG, facial EMG, skin conductance), structural MRI (T1-weighted and PD-weighted UTE), and behavioral measures. This resource enables investigation of neural mechanisms underlying category learning and brain functional connectivity. Data were acquired at the Combinatorial NeuroImaging (CNI) core facility of the Leibniz Institute for Neurobiology (LIN) Magdeburg.
…Culver, "Multisensory naturalistic decoding with high-density diffuse optical tomography," Neurophoton. 12…
…Computational Neuroscience) INC (Institute for Neural Computation) University of California San Diego…
…CNN (Convolutional Neural Network) Feature extraction: sliding windows, bitwise decoding Cross-Validation…
This dataset comprises preprocessed EEG recordings from 6 healthy participants performing imagined speech discrimination tasks between short and long words ('cooperate' vs 'in'). Data were acquired at 256 Hz using 64 EEG channels with standard preprocessing including bandpass filtering (8-70 Hz), notch filtering (60 Hz), and artifact removal. The dataset contains 1,200 trials analyzed using Riemannian manifold and relevance vector machine approaches for brain-computer interface applications, achieving mean classification accuracy of 73.3±8.9%.