Data comprise intracranial EEG (iEEG) brain activity represented by stereo EEG (sEEG) signals, recorded from over 100 electrode channels implanted in any one patient across various brain regions. The iEEG signals were recorded in epilepsy patients (N = 10) undergoing invasive monitoring and localization of seizures when they were performing a battery of four memory tasks lasting approx. 1 hour in total. Gaze tracking on the task computer screen with estimating the pupil size was also recorded together with behavioral performance. Each dataset comes from one patient with anatomical localization of each electrode contact. Metadata contains labels for the recording channels with behavioral events marked from all tasks, including timing of correct and incorrect vocalization of the remembered stimuli. The iEEG and the pupillometric signals are saved in BIDS data structure to facilitate efficient data sharing and analysis.

Brain and Mind Electrophysiology laboratory Multimedia Systems Department Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

Czech Institute of Informatics Robotics and Cybernetics Czech Technical University Prague Prague Czech Republic

Department of Biomedical Engineering International Clinical Research Center St Anne's University Hospital Brno Brno Czech Republic

Department of Neurology Mayo Clinic Rochester MN USA

Department of Neurosurgery Mayo Clinic Rochester MN USA

Department of Physiology and Biomedical Engineering Mayo Clinic Rochester MN USA

Faculty of Electrical Engineering Czech Technical University Prague Prague Czech Republic

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Rosenow F, Lüders H. Presurgical evaluation of epilepsy. Brain. 2001;124:1683–1700. doi: 10.1093/brain/124.9.1683. PubMed DOI

Lhatoo, S. D., Kahane, P. & Luders, H. O. Invasive Studies of the Human Epileptic Brain: Principles and Practice. (Oxford University Press, USA, 2019).

Fried, I., Rutishauser, U., Cerf, M. & Kreiman, G. Single Neuron Studies of the Human Brain: Probing Cognition. (MIT Press, 2014).

Engel AK, Moll CKE, Fried I, Ojemann GA. Invasive recordings from the human brain: clinical insights and beyond. Nature Reviews Neuroscience. 2005;6:35–47. doi: 10.1038/nrn1585. PubMed DOI

Kucewicz MT, et al. Combined Single Neuron Unit Activity and Local Field Potential Oscillations in a Human Visual Recognition Memory Task. IEEE Trans. Biomed. Eng. 2016;63:67–75. doi: 10.1109/TBME.2015.2451596. PubMed DOI

Stead M, Halford JJ. Proposal for a Standard Format for Neurophysiology Data Recording and Exchange. J. Clin. Neurophysiol. 2016;33:403–413. doi: 10.1097/WNP.0000000000000257. PubMed DOI PMC

Brinkmann BH, Bower MR, Stengel KA, Worrell GA, Stead M. Large-scale electrophysiology: acquisition, compression, encryption, and storage of big data. J. Neurosci. Methods. 2009;180:185–192. doi: 10.1016/j.jneumeth.2009.03.022. PubMed DOI PMC

Stead M, et al. Microseizures and the spatiotemporal scales of human partial epilepsy. Brain. 2010;133:2789–2797. doi: 10.1093/brain/awq190. PubMed DOI PMC

Gorgolewski KJ, et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016;3:160044. doi: 10.1038/sdata.2016.44. PubMed DOI PMC

Holdgraf C, et al. iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology. Sci Data. 2019;6:102. doi: 10.1038/s41597-019-0105-7. PubMed DOI PMC

Underwood E. Researchers aim for an electrical memory prosthesis. Science. 2014;345:250–250. doi: 10.1126/science.345.6194.250. PubMed DOI

Kucewicz MT, et al. Evidence for verbal memory enhancement with electrical brain stimulation in the lateral temporal cortex. Brain. 2018;141:971–978. doi: 10.1093/brain/awx373. PubMed DOI

Ezzyat Y, et al. Closed-loop stimulation of temporal cortex rescues functional networks and improves memory. Nat. Commun. 2018;9:365. doi: 10.1038/s41467-017-02753-0. PubMed DOI PMC

Kucewicz, M. T. et al. Electrical Stimulation Modulates High γ Activity and Human Memory Performance. eNeuro5 (2018). PubMed PMC

Solomon EA, et al. Widespread theta synchrony and high-frequency desynchronization underlies enhanced cognition. Nat. Commun. 2017;8:1704. doi: 10.1038/s41467-017-01763-2. PubMed DOI PMC

Ezzyat Y, et al. Direct Brain Stimulation Modulates Encoding States and Memory Performance in Humans. Curr. Biol. 2017;27:1251–1258. doi: 10.1016/j.cub.2017.03.028. PubMed DOI PMC

Kucewicz MT, et al. Dissecting gamma frequency activity during human memory processing. Brain. 2017;140:1337–1350. doi: 10.1093/brain/awx043. PubMed DOI

Kucewicz, M. T. et al. Human Verbal Memory Encoding Is Hierarchically Distributed in a Continuous Processing Stream. eNeuro6 (2019). PubMed PMC

Stolk A, et al. Integrated analysis of anatomical and electrophysiological human intracranial data. Nat. Protoc. 2018;13:1699–1723. doi: 10.1038/s41596-018-0009-6. PubMed DOI PMC

Kucewicz MT, et al. Pupil size reflects successful encoding and recall of memory in humans. Sci. Rep. 2018;8:4949. doi: 10.1038/s41598-018-23197-6. PubMed DOI PMC

Norman, Y. et al. Hippocampal sharp-wave ripples linked to visual episodic recollection in humans. Science365 (2019). PubMed

Vaz AP, Wittig JH, Jr, Inati SK, Zaghloul KA. Replay of cortical spiking sequences during human memory retrieval. Science. 2020;367:1131–1134. doi: 10.1126/science.aba0672. PubMed DOI PMC

Vaz AP, Inati SK, Brunel N, Zaghloul KA. Coupled ripple oscillations between the medial temporal lobe and neocortex retrieve human memory. Science. 2019;363:975–978. doi: 10.1126/science.aau8956. PubMed DOI PMC

Kucewicz MT, et al. High frequency oscillations are associated with cognitive processing in human recognition memory. Brain. 2014;137:2231–2244. doi: 10.1093/brain/awu149. PubMed DOI PMC

Minxha, J., Adolphs, R., Fusi, S., Mamelak, A. N. & Rutishauser, U. Flexible recruitment of memory-based choice representations by the human medial frontal cortex. Science368 (2020). PubMed PMC

Urgolites ZJ, et al. Spiking activity in the human hippocampus prior to encoding predicts subsequent memory. Proc. Natl. Acad. Sci. USA. 2020;117:13767–13770. doi: 10.1073/pnas.2001338117. PubMed DOI PMC

Kamiński J, et al. Persistently active neurons in human medial frontal and medial temporal lobe support working memory. Nat. Neurosci. 2017;20:590–601. doi: 10.1038/nn.4509. PubMed DOI PMC

Mai, J. K., Majtanik, M. & Paxinos, G. Atlas of the Human Brain. (Academic Press, 2015).

Fukushima K, Fukushima J, Warabi T, Barnes GR. Cognitive processes involved in smooth pursuit eye movements: behavioral evidence, neural substrate and clinical correlation. Front. Syst. Neurosci. 2013;7:4. doi: 10.3389/fnsys.2013.00004. PubMed DOI PMC

Kahana, M. J. Foundations of Human Memory. (Oxford University Press, 2014).

Matsumoto JY, et al. Network oscillations modulate interictal epileptiform spike rate during human memory. Brain. 2013;136:2444–2456. doi: 10.1093/brain/awt159. PubMed DOI PMC

Horak PC, et al. Interictal epileptiform discharges impair word recall in multiple brain areas. Epilepsia. 2017;58:373–380. doi: 10.1111/epi.13633. PubMed DOI PMC

Kleen JK, et al. Hippocampal interictal epileptiform activity disrupts cognition in humans. Neurology. 2013;81:18–24. doi: 10.1212/WNL.0b013e318297ee50. PubMed DOI PMC

Staresina BP, Alink A, Kriegeskorte N, Henson RN. Awake reactivation predicts memory in humans. Proc. Natl. Acad. Sci. USA. 2013;110:21159–21164. doi: 10.1073/pnas.1311989110. PubMed DOI PMC

Staresina BP, Henson RNA, Kriegeskorte N, Alink A. Episodic reinstatement in the medial temporal lobe. J. Neurosci. 2012;32:18150–18156. doi: 10.1523/JNEUROSCI.4156-12.2012. PubMed DOI PMC

Johnson JD, McDuff SGR, Rugg MD, Norman KA. Recollection, familiarity, and cortical reinstatement: a multivoxel pattern analysis. Neuron. 2009;63:697–708. doi: 10.1016/j.neuron.2009.08.011. PubMed DOI PMC

Yaffe RB, et al. Reinstatement of distributed cortical oscillations occurs with precise spatiotemporal dynamics during successful memory retrieval. Proc. Natl. Acad. Sci. USA. 2014;111:18727–18732. doi: 10.1073/pnas.1417017112. PubMed DOI PMC

Munoz DP, Everling S. Look away: the anti-saccade task and the voluntary control of eye movement. Nat. Rev. Neurosci. 2004;5:218–228. doi: 10.1038/nrn1345. PubMed DOI

Coe, B. C. & Munoz, D. P. Mechanisms of saccade suppression revealed in the anti-saccade task. Philos. Trans. R. Soc. Lond. B Biol. Sci. 372 (2017). PubMed PMC

Doležal J, Fabian V. 41. Application of eye tracking in neuroscience. Clinical Neurophysiology. 2015;126:e44. doi: 10.1016/j.clinph.2014.10.200. DOI

Cimbalnik J, 2021. Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry. EBRAINS. PubMed DOI PMC

Yarkoni T, et al. PyBIDS: Python tools for BIDS datasets. Journal of Open Source Software. 2019;4:1294. doi: 10.21105/joss.01294. PubMed DOI PMC

Mathôt S, Fabius J, Van Heusden E, Van der Stigchel S. Safe and sensible preprocessing and baseline correction of pupil-size data. Behav. Res. Methods. 2018;50:94–106. doi: 10.3758/s13428-017-1007-2. PubMed DOI PMC

Cimbalnik J. 2019. ICRC-BME/PySigView: First release for zenodo. Zenodo. DOI

Plesinger F, Jurco J, Halamek J, Jurak P. SignalPlant: an open signal processing software platform. Physiol. Meas. 2016;37:N38–48. doi: 10.1088/0967-3334/37/7/N38. PubMed DOI

Schwarz CG, et al. Identification of Anonymous MRI Research Participants with Face-Recognition Software. N. Engl. J. Med. 2019;381:1684–1686. doi: 10.1056/NEJMc1908881. PubMed DOI PMC

Cimbalnik J, Klimes P, Travnicek V. 2020. ICRC-BME/epycom: EPYCOM-beta. Zenodo. DOI

Cimbálník J, Hewitt A, Worrell G, Stead M. The CS algorithm: A novel method for high frequency oscillation detection in EEG. J. Neurosci. Methods. 2018;293:6–16. doi: 10.1016/j.jneumeth.2017.08.023. PubMed DOI PMC

Gardner AB, Worrell GA, Marsh E, Dlugos D, Litt B. Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings. Clin. Neurophysiol. 2007;118:1134–1143. doi: 10.1016/j.clinph.2006.12.019. PubMed DOI PMC

Barkmeier DT, et al. High inter-reviewer variability of spike detection on intracranial EEG addressed by an automated multi-channel algorithm. Clinical Neurophysiology. 2012;123:1088–1095. doi: 10.1016/j.clinph.2011.09.023. PubMed DOI PMC

Cimbalnik J, et al. Multi-feature localization of epileptic foci from interictal, intracranial EEG. Clin. Neurophysiol. 2019;130:1945–1953. doi: 10.1016/j.clinph.2019.07.024. PubMed DOI PMC

Klimes P, et al. NREM sleep is the state of vigilance that best identifies the epileptogenic zone in the interictal electroencephalogram. Epilepsia. 2019;60:2404–2415. doi: 10.1111/epi.16377. PubMed DOI

Implementation of a Morphological Filter for Removing Spikes from the Epileptic Brain Signals to Improve Identification Ripples

Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry