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Dataset description =================== This SEEG raw dataset includes resting state recordings for two patients with epilepsy. The depth electrodes used in this dataset are Sinovation SDE-08 medical-grade stainless steel electrodes, with the following specifications: Diameter: 0.8 mm Contact length: 2 mm Insulator length: 1.5 mm Distance between the center of two contacts: 3.5 mm Between 8 and 16 contacts on each electrode ======= For questions, please contact Pengfei

Participants

2

Size

709 MB

Updated

Jun 10, 2026

References ---------- Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896).https://doi.org/10.21105/joss.01896 Holdgraf, C., Appelhoff, S., Bickel, S., Bouchard, K., D'Ambrosio, S., Davi

Participants

24

Size

13.8 GB

Updated

Jun 10, 2026

The "Podcast" ECoG dataset for modeling neural activity during natural story listening. We introduce the “Podcast” electrocorticography (ECoG) dataset for modeling neural activity supporting natural narrative comprehension. This dataset combines the exceptional spatiotemporal resolution of human intracranial electrophysiology with a naturalistic experimental paradigm for language comprehension. In addition to the raw data, we provide a minimally preprocessed version in the high-gamma spectral b

Participants

9

Size

3.24 GB

Updated

Jun 10, 2026

### Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier) #### Description This dataset contains behavioral events and intracranial electrophysiology recordings from a categorized free recall task with closed-loop stimulation at encoding, using a classifier trained on encoding data. The experiment consists of participants studying a list of words, presented visually one at a time, completing simple arithmetic problems that function as a distractor, and then fre

Participants

9

Size

12.2 GB

Updated

Jun 10, 2026

### Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier) #### Description This dataset contains behavioral events and intracranial electrophysiology recordings from a delayed free recall task with closed-loop stimulation at encoding, using a classifier trained on encoding data. The experiment consists of participants studying a list of words, presented visually one at a time, completing simple arithmetic problems that function as a distractor, and then freely recalling th

Participants

18

Size

34.7 GB

Updated

Jun 10, 2026

This dataset was curated for publication as part of the manuscript in Kanno et al. (in preparation). It contains iEEGs collected from 106 individuals during auditory naming task. The available Matlab code can be found at https://github.com/a8k8nn0/TractographyAtlas. The iEEG coordinate system employed in this dataset is MNI305.

Participants

106

Size

40.0 GB

Updated

Jun 10, 2026

### Spatial Navigation Memory of Object Locations with Open-Loop Stimulation at Encoding #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a spatial navigation memory task with open-loop stimulation at encoding. The experiment consists of participants encoding object locations during a guided navigation learning phase and then recalling the object locations during a self-navigation test phase. The data was collected at clinical site

Participants

22

Size

69.7 GB

Updated

Jun 10, 2026

### Spatial Navigation Memory of Object Locations #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a spatial navigation memory task. The experiment consists of participants encoding object locations during a guided navigation learning phase and then recalling the object locations during a self-navigation test phase. The data was collected at clinical sites across the country as part of a collaboration with the Computational Memory

Participants

58

Size

107 GB

Updated

Jun 10, 2026

### Cued Recall of Paired Associates with Open-Loop Stimulation at Encoding or Retrieval #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a paired associates memory task with open-loop stimulation at encoding or retrieval. The experiment consists of participants studying pairs of visually presented words, completing simple arithmetic problems that function as a distractor, and then completing a cued recall task. The data was collec

Participants

20

Size

26.3 GB

Updated

Jun 10, 2026

### Categorized Free Recall with Open-Loop Stimulation at Encoding #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a categorized free recall task with open-loop stimulation at encoding. The experiment consists of participants studying a list of words, presented visually one at a time, completing simple arithmetic problems that function as a distractor, and then freely recalling the words from the just-presented list in any order.

Participants

19

Size

22.5 GB

Updated

Jun 10, 2026