FUS and Tactile Neuromodulation in NHP VPL - Electrophysiology
…with a NeuroNexus V1x32-Edge (Vector Array) single-shank probe (32 sites…
- Participants
- 2
- Size
- 5.07 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
50 results for "relevance vector machines" · page 3 of 5 · ranked by relevance
…with a NeuroNexus V1x32-Edge (Vector Array) single-shank probe (32 sites…
NEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG
…MATLAB structures (one-hot encoded vectors converted to class indices). For the…
The Penn Electrophysiology of Encoding and Retrieval Study (PEERS) is a large-scale investigation of the behavioral and electrophysiological correlates of memory encoding and retrieval. The dataset comprises EEG recordings from over 300 subjects across three experiments (ltpFR, ltpFR2, and VFFR), totaling more than 7,000 ninety-minute memory testing sessions. Data were acquired using either 129-channel Geodesic Sensor Net or 128-channel BioSemi systems, providing a comprehensive resource for studying neural mechanisms of human memory.
…a whole-head Elekta Neuromag Vector View 306 MEG system (Neuromag Elekta…
…feature matrix, and the label vector is the recalled status of the…
ROAMM is a large-scale multimodal dataset combining simultaneous EEG and eye-tracking recordings collected during naturalistic reading, with span-level mind-wandering annotations from 44 participants. It provides a benchmark for mind-wandering detection and EEG-to-text decoding, supporting research on attention-related degradation in language decoding from brain activity during naturalistic reading.
…promoting insights into the behavioral relevance of resting state brain activity. The…
MEG-SCANS is a magnetoencephalography (MEG) dataset comprising raw and MaxFiltered recordings from 24 German-speaking participants performing an auditory speech experiment. Stimuli included audiobooks, Oldenburger Matrix Sentence Test sentences at varying intelligibility levels for speech reception threshold assessment, and chirp stimuli for signal quality checks. The dataset also includes structural MRI scans, hearing screening results, empty-room recordings, and audio stimulus materials, organized in BIDS format to support encoding/decoding analyses of speech-evoked brain responses.