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We present an electrophysiological dataset recorded from nine subjects during a verbal working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for the localization of epileptic seizures. Subjects performed a modified Sternberg task in which the encoding of memory items, maintenance, and recall were temporally separated. The dataset includes simultaneously recorded scalp EEG with the 10–20 system, intracranial EEG (iEEG) recorded with depth electrodes, waveforms and spike times of neurons recorded in the medial temporal lobe, and localization information on the depth electrodes. Subject characteristics and information on each trial (set size, match/mismatch, correct/incorrect, response, and response time) are given. For technical validation of data, we provide spike sorting quality metrics and the spectra of iEEG and scalp EEG signals. This dataset enables the investigation of working memory by providing simultaneous scalp EEG and iEEG recordings, which can be used for connectivity analysis, along with hard-to-obtain neuronal recordings from humans., Scientific Data, 7 (1), ISSN:2052-4463

We present a dataset combining electrophysiology and eye tracking intended as a resource for the investigation of information processing in the developing brain. The dataset includes high-density task-based and task-free EEG, eye tracking, and cognitive and behavioral data collected from 126 individuals (ages: 6-44). The task battery spans both the simple/complex and passive/active dimensions to cover a range of approaches prevalent in modern cognitive neuroscience. The active task paradigms facilitate principled deconstruction of core components of task performance in the developing brain, whereas the passive paradigms permit the examination of intrinsic functional network activity during varying amounts of external stimulation. Alongside these neurophysiological data, we include an abbreviated cognitive test battery and questionnaire-based measures of psychiatric functioning. We hope that this dataset will lead to the development of novel assays of neural processes fundamental to information processing, which can be used to index healthy brain development as well as detect pathologic processes. Fil: Langer, Nicolas. Universitat Zurich; Suiza. Child Mind Institute; Estados Unidos Fil: Ho, Erica J.. Child Mind Institute; Estados Unidos. University of Yale; Estados Unidos Fil: Alexander, Lindsay M.. Child Mind Institute; Estados Unidos Fil: Xu, Helen Y.. Child Mind Institute; Estados Unidos Fil: Jozanovic, Renee K.. Child Mind Institute; Estados Unidos Fil: Henin, Simon. City College of New York; Estados Unidos Fil: Petroni, Agustín. City College of New York; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Cohen, Samantha. City College of New York; Estados Unidos. City University of New York; Estados Unidos Fil: Marcelle, Enitan T.. Child Mind Institute; Estados Unidos. University of California Berkeley; Estados Unidos Fil: Parra, Lucas C.. City College of New York; Estados Unidos Fil: Milham, Michael P.. Child Mind Institute; Estados Unidos. Nathan S. Kline Institute for Psychiatric Research; Estados Unidos Fil: Kelly, Simon P.. City College of New York; Estados Unidos. University College Dublin; Irlanda