Berger, H. Über das Elektrenkephalogramm des Menschen. Arch. Psychiatr. Nervenkrankh. 87, 527–570 (1929).
Gervasoni, D. et al. Global forebrain dynamics predict rat behavioral states and their transitions. J. Neurosci. 24, 11137–11147 (2004).
Article CAS PubMed PubMed Central Google Scholar
Volgushev, M. et al. Precise long-range synchronization of activity and silence in neocortical neurons during slow-wave sleep. J. Neurosci. 26, 5665–5672 (2006).
Article CAS PubMed PubMed Central Google Scholar
Burle, B. et al. Spatial and temporal resolutions of EEG: is it really black and white? A scalp current density view. Int. J. Psychophysiol. 97, 210–220 (2015).
Article PubMed PubMed Central Google Scholar
Ding, F. et al. Changes in the composition of brain interstitial ions control the sleepwake cycle. Science 352, 550–555 (2016).
Article CAS PubMed PubMed Central Google Scholar
Lee, S.-H. & Dan, Y. Neuromodulation of brain states. Neuron 76, 209–222 (2012).
Article CAS PubMed PubMed Central Google Scholar
Nir, Y. & de Lecea, L. Sleep and vigilance states: embracing spatiotemporal dynamics. Neuron 111, 1998–2011 (2023).
Article CAS PubMed Google Scholar
Routtenberg, A. Hippocampal correlates of consummatory and observed behavior. Physiol. Behav. 3, 533–535 (1968).
Sainsbury, R. S., Heynen, A. & Montoya, C. P. Behavioral correlates of hippocampal type 2 theta in the rat. Physiol. Behav. 39, 513–519 (1987).
Article CAS PubMed Google Scholar
Harris, K. D. & Thiele, A. Cortical state and attention. Nat. Rev. Neurosci. 12, 509–523 (2011).
Article CAS PubMed PubMed Central Google Scholar
Engel, T. A. et al. Selective modulation of cortical state during spatial attention. Science 354, 1140–1144 (2016).
Article CAS PubMed Google Scholar
Lacroix, M. M. et al. Improved sleep scoring in mice reveals human-like stages. Preprint at bioRxiv https://doi.org/10.1101/489005 (2018).
Huber, R. et al. Arm immobilization causes cortical plastic changes and locally decreases sleep slow wave activity. Nat. Neurosci. 9, 1169–1176 (2006).
Article CAS PubMed Google Scholar
Nir, Y. et al. Regional slow waves and spindles in human sleep. Neuron 70, 153–169 (2011).
Article CAS PubMed PubMed Central Google Scholar
Emrick, J. J. et al. Different simultaneous sleep states in the hippocampus and neocortex. Sleep 39, 2201–2209 (2016).
Article PubMed PubMed Central Google Scholar
Soltani, S. et al. Sleep–wake cycle in young and older mice. Front. Syst. Neurosci. 13, 51 (2019).
Article CAS PubMed PubMed Central Google Scholar
Vyazovskiy, V. V. et al. Local sleep in awake rats. Nature 472, 443–447 (2011).
Article CAS PubMed PubMed Central Google Scholar
Rattenborg, N. C. et al. Evidence that birds sleep in mid-flight. Nat. Commun. 7, 12468 (2016).
Article CAS PubMed PubMed Central Google Scholar
Serafetinides, E. A., Shurley, J. T. & Brooks, R. E. Electroencephalogram of the pilot whale, Globicephala scammoni, in wakefulness and sleep: lateralization aspects. Int. J. Psychobiol. 2, 129–135 (1972). [Google Scholar].
Tamaki, M. et al. Night watch in one brain hemisphere during sleep associated with the first-night effect in humans. Curr. Biol. 26, 1190–1194 (2016).
Article CAS PubMed PubMed Central Google Scholar
Rector, D. M. et al. Local functional state differences between rat cortical columns. Brain Res. 1047, 45–55 (2005).
Article CAS PubMed Google Scholar
Amzica, F. & Steriade, M. Electrophysiological correlates of sleep delta waves. Electroencephalogr. Clin. Neurophysiol. 107, 69–83 (1998).
Article CAS PubMed Google Scholar
Buzsáki, G. & Schomburg, E. W. What does gamma coherence tell us about interregional neural communication? Nat. Neurosci. 18, 484–489 (2015).
Article PubMed PubMed Central Google Scholar
Mölle, M. et al. Hippocampal sharp wave-ripples linked to slow oscillations in rat slow-wave sleep. J. Neurophysiol. 96, 62–70 (2006).
Girardeau, G. & Lopes-dos-Santos, V. Brain neural patterns and the memory function of sleep. Science 374, 560–564 (2021).
Article CAS PubMed PubMed Central Google Scholar
Muñoz-Torres, Z. et al. Amygdala and hippocampus dialogue with neocortex during human sleep and wakefulness. Sleep 46, zsac224 (2022).
Rolnick, D. et al. Deep learning is robust to massive label noise. Preprint at http://arxiv.org/abs/1705.10694 (2018).
Gent, T. C., Bassetti, C. L. A. & Adamantidis, A. R. Sleep–wake control and the thalamus. Curr. Opin. Neurobiol. 52, 188–197 (2018).
Article CAS PubMed Google Scholar
Saper, C. B. Staying awake for dinner: hypothalamic integration of sleep, feeding, and circadian rhythms. In Hypothalamic Integration of Energy Metabolism, Proc. 24th International Summer School of Brain Research, held at the Royal Netherlands Academy of Arts and Sciences 243–252 (Elsevier, 2006).
Ellis, C. A., Miller, R. L. & Calhoun, V. D. A systematic approach for explaining time and frequency features extracted by convolutional neural networks from raw electroencephalography data. Front. Neuroinform. 16, 872035 (2022).
Article PubMed PubMed Central Google Scholar
Hengen, K. B. et al. Neuronal firing rate homeostasis is inhibited by sleep and promoted by wake. Cell 165, 180–191 (2016).
Article CAS PubMed PubMed Central Google Scholar
Chung, J. E. et al. A fully automated approach to spike sorting. Neuron 95, 1381–1394.e6 (2017).
Article CAS PubMed PubMed Central Google Scholar
Bédard, C., Kröger, H. & Destexhe, A. Model of low-pass filtering of local field potentials in brain tissue. Phys. Rev. E 73, 051911 (2006).
Harris, K. D. et al. Improving data quality in neuronal population recordings. Nat. Neurosci. 19, 1165–1174 (2016).
Article PubMed PubMed Central Google Scholar
Trautmann, E. M. et al. Accurate estimation of neural population dynamics without spike sorting. Neuron 103, 292–308.e4 (2019).
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