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# Dataset Description This dataset contains the EEG data accompanying the study **"Adaptive recruitment of cortex-wide recurrence for visual object recognition"** (Link to preprint: https://www.biorxiv.org/content/10.1101/2025.10.17.682937v2). Please cite the above paper if you use this data. --- ## Dataset Overview - 34 participants, each with 1 session --- ## Experimental Design The EEG experiment used a stimulus set of 242 images (121 “challenge” and 121 “control” images) derived from

Participants

34

Size

60.9 GB

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

103

Size

32.6 GB

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

65

Size

33.0 GB

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

65

Size

33.8 GB

# High Density Resting State EEG of Phantom Limb Pain and Controls This dataset comprises resting state high density EEG data (64 or 128 channels) collected from three categories of subjects: amputees with phantom limb pain, amputees without phantom limb pain, and intact, pain free controls. The data has been organised accroding to the BIDS standard for more accesible reuse. Recordings are approximately 7 minutes long with eyes opened or closed, as indicated by task. ## Usage For loading and

Participants

38

Size

64.9 GB

NOTE: This version contains datasets for 49 of the 69 participants. New versions will be created as more data are uploaded. This dataset contains the fMRI and EEG data for E.A. McDevitt, G. Kim, N.B. Turk-Browne, K.A. Norman (2026). The role of rapid eye movement sleep in neural differentiation of memories in the hippocampus. Journal of Cognitive Neuroscience, 10.1162/jocn.a.82 Please refer to the paper for detailed methods. The dataset includes 69 participants with three fMRI scans and one

Participants

49

Size

464 GB

Dataset of long-term iEEG invasively recorded in epilepsy patients implanted with responsive neurostimulation system (RNS) ---------- We provided a long-term intracranial electroencephalography (iEEG) dataset of 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices. The dataset was constituted by iEEG data recorded from bilateral epileptic lesion areas. Each recording contains 90 seconds of dual-channel iEEG around each stimulation, 60 seconds before the start of the sti

Participants

8

Size

498 MB

Each trial began with a fixation dot presented for a jittered intertrial interval (ITI) between 600 and 1000 ms. The first memory screen (1000 ms) showed two objects on one lateral side that participants were instructed to memorize (indicated by a wedge cue), and two objects on the opposite side to balance visual input. Depending on the block condition, the to-be-memorized objects on the first screen could be studied (learned in the learning phase) or novel/unstudied. After a 1400 ms interstimul

Participants

41

Size

11.3 GB

Participants

3

Size

13.9 GB

This dataset contains de-identified resting-state EEG recordings from individuals with Parkinson’s disease (PD) and age-matched healthy control subjects. All EEG data were recorded using standard clinical EEG systems at Neurology Clinic. Dataset Purpose: This dataset was originally used to evaluate whether resting-state EEG can help distinguish subjects who were later deceased from those who remained living (mortality classification). Only de-identified EEG data and mortality labels are includ

Participants

94

Size

1.74 GB