Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans
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A fundamental question in neuroscience concerns the relation between the spiking of individual neurons and the aggregate electrical activity of neuronal ensembles as seen in local field potentials (LFPs). Because LFPs reflect both spiking activity and subthreshold events, this question is not simply one of data aggregation. Recording from 20 neurosurgical patients, we directly examined the relation between LFPs and neuronal spiking. Examining 2030 neurons in widespread brain regions, we found that firing rates were positively correlated with broadband (2–150 Hz) shifts in the LFP power spectrum. In contrast, narrowband oscillations correlated both positively and negatively with firing rates at different recording sites. Broadband power shifts were a more reliable predictor of neuronal spiking than narrowband power shifts. These findings suggest that broadband LFP power provides valuable information concerning neuronal activity beyond that contained in narrowband oscillations.
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High-gamma power closely correlates with neural spiking activity and with the BOLD signal.
“Most analyses focused on the high-gamma power as it closely correlated with neural spiking activity71 and with the BOLD signal37.”
From Adversarial testing of global neuronal workspace and integrated information theories of consciousness (2025) · cites this paper as [71]
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Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873 · see citing works
Principles Of Gestalt Psychology
Koffka, K. (2013) · Routledge eBooks · doi:10.4324/9781315009292 · Cited by 4,281 · see citing works
A review on image segmentation techniques
Pal, N. R., & Pal, S. K. (1993) · Pattern Recognition · doi:10.1016/0031-3203(93)90135-j · Cited by 3,735 · see citing works
Visual Feature Integration and the Temporal Correlation Hypothesis
Singer, W., & Gray, C. M. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.003011 · Cited by 3,157 · see citing works
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786 · see citing works
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650 · see citing works
Spectral Analysis for Physical Applications
Percival, D. B., & Walden, A. T. (1993) · Cambridge University Press eBooks · doi:10.1017/cbo9780511622762 · Cited by 2,148 · see citing works
Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering
Quiroga, R. Q., Nadasdy, Z., & Ben-Shaul, Y. (2004) · Neural Computation · doi:10.1162/089976604774201631 · Cited by 2,119 · see citing works
Robust regression using iteratively reweighted least-squares.
Holland, P. W., & Welsch, R. E. (1977) · Communications in Statistics - Theory and Methods · doi:10.1080/03610927708827533 · Cited by 2,115 · see citing works
Large-scale recording of neuronal ensembles
Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1233 · Cited by 1,875 · see citing works
Mitzdorf, U. (1985) · Physiological Reviews · doi:10.1152/physrev.1985.65.1.37 · Cited by 1,690 · see citing works
Human gamma-frequency oscillations associated with attention and memory
Jensen, O. B., Kaiser, J., & Lachaux, J.-P. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.05.001 · Cited by 1,239 · see citing works
The Correlation Theory of Brain Function
von der Malsburg, C. (1994) · Physics of neural networks · doi:10.1007/978-1-4612-4320-5_2 · Cited by 1,086 · see citing works
Fries, P., Nikolić, D., & Singer, W. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.05.005 · Cited by 1,044 · see citing works
Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex
Mukamel, R., Gelbard, H., Arieli, A., Hasson, U., Fried, I., & Malach, R. (2005) · Science · doi:10.1126/science.1110913 · Cited by 1,042 · see citing works
Self-citationThe Underpinnings of the BOLD Functional Magnetic Resonance Imaging Signal
Logothetis, N. K. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-10-03963.2003 · Cited by 1,040 · see citing works
Temporal structure in neuronal activity during working memory in macaque parietal cortex
Pesaran, B., Pezaris, J. S., Sahani, M., Mitra, P. P., & Andersen, R. A. (2002) · Nature Neuroscience · doi:10.1038/nn890 · Cited by 1,029 · see citing works
Crone, N. E. (1998) · Brain · doi:10.1093/brain/121.12.2271 · Cited by 943 · see citing works
Spectral Changes in Cortical Surface Potentials during Motor Movement
Miller, K. J., Leuthardt, E. C., Schalk, G., Rao, R. P. N., Anderson, N., Moran, D. W., Miller, J. W., & Ojemann, J. G. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3886-06.2007 · Cited by 743 · see citing works
High-frequency gamma oscillations and human brain mapping with electrocorticography
Crone, N. E., Sinai, A., & Korzeniewska, A. (2006) · Progress in Brain Research · doi:10.1016/s0079-6123(06)59019-3 · Cited by 526 · see citing works
Kahana, M. J., Seelig, D., & Madsen, J. R. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(01)00278-1 · Cited by 485 · see citing works
Self-citationLFP Power Spectra in V1 Cortex: The Graded Effect of Stimulus Contrast
Henrie, J. A., & Shapley, R. M. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00919.2004 · Cited by 425 · see citing works
Belitski, A., Gretton, A., Magri, C., Murayama, Y., Montemurro, M. A., Logothetis, N. K., & Panzeri, S. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0009-08.2008 · Cited by 420 · see citing works
Human hippocampal theta activity during virtual navigation
Ekstrom, A. D., Caplan, J. B., Ho, E. V., Shattuck, K., Fried, I., & Kahana, M. J. (2005) · Hippocampus · doi:10.1002/hipo.20109 · Cited by 415 · see citing works
Self-citationHippocampal and Neocortical Gamma Oscillations Predict Memory Formation in Humans
Sederberg, P. B., Schulze‐Bonhage, A., Madsen, J. R., Bromfield, E. B., McCarthy, D. C., Brandt, A., Tully, M., & Kahana, M. J. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl030 · Cited by 415 · see citing works
Self-citationBrain Oscillations Control Timing of Single-Neuron Activity in Humans
Jacobs, J., Kahana, M. J., Ekstrom, A. D., & Fried, I. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4636-06.2007 · Cited by 368 · see citing works
Self-citationHuman θ Oscillations Related to Sensorimotor Integration and Spatial Learning
Caplan, J. B., Madsen, J. R., Schulze‐Bonhage, A., Aschenbrenner-Scheibe, R., Newman, E. L., & Kahana, M. J. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-11-04726.2003 · Cited by 364 · see citing works
Self-citationMiller, K. J., Zanos, S. P., Fetz, E. E., den Nijs, M., & Ojemann, J. G. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5506-08.2009 · Cited by 350 · see citing works
The many faces of the gamma band response to complex visual stimuli
Lachaux, J.-P., George, N., Tallon‐Baudry, C., Martinerie, J. M., Hugueville, L., Minotti, L., Kahane, P., & Renault, B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.11.052 · Cited by 350 · see citing works
High Gamma Activity in Response to Deviant Auditory Stimuli Recorded Directly From Human Cortex
Edwards, E., Soltani, M., Deouell, L. Y., Berger, M. S., & Knight, R. T. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00324.2005 · Cited by 334 · see citing works
The Cognitive Correlates of Human Brain Oscillations
Kahana, M. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3737-05c.2006 · Cited by 331 · see citing works
Self-citationObject Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex
Kreiman, G., Hung, C. P., Kraskov, A., Quiroga, R. Q., Poggio, T., & DiCarlo, J. J. (2006) · Neuron · doi:10.1016/j.neuron.2005.12.019 · Cited by 312 · see citing works
Movement related activity in the high gamma range of the human EEG
Ball, T., Demandt, E., Mutschler, I., Neitzel, E., Mehring, C., Vogt, K., Aertsen, A., & Schulze-Bonhage, A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.032 · Cited by 274 · see citing works
Jerbi, K., Ossandón, T., Hamamé, C. M., Senova, S., Dalal, S. S., Jung, J., Minotti, L., Bertrand, O., Berthoz, A., Kahane, P., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20750 · Cited by 268 · see citing works
Auditory Thalamocortical Synaptic Transmission In Vitro
Cruikshank, S. J., Rose, H. J., & Metherate, R. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00549.2001 · Cited by 249 · see citing works
Fried, I., Wilson, C. L., Maidment, N. T., Engel, J., Behnke, E., Fields, T. A., Macdonald, K. A., Morrow, J. W., & Ackerson, L. C. (1999) · Journal of neurosurgery · doi:10.3171/jns.1999.91.4.0697 · Cited by 222 · see citing works
Self-citationInferring Spike Trains From Local Field Potentials
Rasch, M. J., Gretton, A., Murayama, Y., Maass, W., & Logothetis, N. K. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00919.2007 · Cited by 210 · see citing works
Kaur, S., Lazar, R., & Metherate, R. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01121.2003 · Cited by 197 · see citing works
Neuronal Shot Noise and Brownian 1/f2 Behavior in the Local Field Potential
Milstein, J. N., Mormann, F., Fried, I., & Christof Koch, A. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004338 · Cited by 156 · see citing works
Self-citationFunctional anatomy and interaction of fast and slow visual pathways in macaque monkeys
Chen, C.-M., Lakatos, P., Shah, A. S., Mehta, A. D., Givre, S. J., Javitt, D. C., & Schroeder, C. E. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl067 · Cited by 155 · see citing works
Jürgens, E., Guettler, A., & Eckhorn, R. (1999) · Experimental Brain Research · doi:10.1007/s002210050895 · Cited by 154 · see citing works
Real-time functional brain mapping using electrocorticography
Miller, K. J., den Nijs, M., Shenoy, P., Miller, J. W., Rao, R. P. N., & Ojemann, J. G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.029 · Cited by 154 · see citing works
Newman, E. L., Caplan, J. B., Kirschen, M. P., Korolev, I. O., Sekuler, R., & Kahana, M. J. (2006) · Cognition · doi:10.1016/j.cognition.2006.05.013 · Cited by 134 · see citing works
Self-citationJacobs, J., & Kahana, M. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2187-09.2009 · Cited by 127 · see citing works
Self-citationCurrent Results of the Surgical Management of Aneurysms of the Basilar Apex
Samson, D. S., Batjer, H. H., & Kopitnik, T. A. (1999) · Neurosurgery · doi:10.1097/00006123-199904000-00001 · Cited by 124 · see citing works
Tanji, K., Suzuki, K., Arnaud Delorme, A., Shamoto, H., & Nakasato, N. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4948-04.2005 · Cited by 119 · see citing works
Silence Is Golden: Transient Neural Deactivation in the Prefrontal Cortex during Attentive Reading
Lachaux, J.-P., Jung, J., Nelly Mainy, B., Dreher, J., Bertrand, O., Baciu, M. V., Minotti, L., Hoffmann, D., & Kahane, P. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm085 · Cited by 80 · see citing works
A Blueprint for Real-Time Functional Mapping via Human Intracranial Recordings
Lachaux, J.-P., Jerbi, K., Bertrand, O., Minotti, L., Hoffmann, D., Schoendorff, B., & Kahane, P. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001094 · Cited by 78 · see citing works
Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification
Miller, K. J., Shenoy, P., den Nijs, M., Sorensen, L. B., Rao, R. P. N., & Ojemann, J. G. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.918569 · Cited by 59 · see citing works
Contrasting roles of neural firing rate and local field potentials in human memory
Ekstrom, A. D., Viskontas, I. V., Kahana, M. J., Jacobs, J., Upchurch, K., Bookheimer, S. Y., & Fried, I. (2007) · Hippocampus · doi:10.1002/hipo.20300 · Cited by 47 · see citing works
Self-citationThe parahippocampal region: past, present, and future
Witter, M. P. (2002) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198509172.003.0001 · Cited by 20 · see citing works
Random walks with power-law fluctuations in the number of steps
Annibaldi, S. V., & Hopcraft, K. I. (2002) · Journal of Physics A Mathematical and General · doi:10.1088/0305-4470/35/41/301 · Cited by 1 · see citing works
Brain Science: From the Very Small to the Very Large
Kreiman, G. (2007) · Current Biology · doi:10.1016/j.cub.2007.06.065 · Cited by 1 · see citing works
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Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225 · see citing works
Emergent complex neural dynamics
Chialvo, D. R. (2010) · Nature Physics · doi:10.1038/nphys1803 · Cited by 1,165 · see citing works
The Temporal Structures and Functional Significance of Scale-free Brain Activity
He, B. J., Zempel, J. M., Snyder, A. Z., & Raichle, M. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.020 · Cited by 990 · see citing works
Trujillo, C. A., Gao, R., Negraes, P. D., Gu, J., Buchanan, J., Preissl, S., Wang, A., Wu, W., Haddad, G. G., Chaim, I. A., et al. (2019) · Cell Stem Cell · doi:10.1016/j.stem.2019.08.002 · Cited by 974 · see citing works
Power-Law Scaling in the Brain Surface Electric Potential
Miller, K. J., Sorensen, L. B., Ojemann, J. G., & den Nijs, M. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000609 · Cited by 742 · see citing works
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Honey, C. J., Thesen, T., Donner, T. H., Silbert, L. J., Carlson, C. E., Devinsky, O., Doyle, W. K., Rubin, N., Heeger, D. J., & Hasson, U. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.011 · Cited by 532 · see citing works
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Miller, K. J., Schalk, G., Fetz, E. E., den Nijs, M., Ojemann, J. G., & Rao, R. P. N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913697107 · Cited by 622 · see citing works
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Herrington, T. M., Cheng, J. J., & Eskandar, E. N. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00281.2015 · Cited by 551 · see citing works
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Lega, B. C., Jacobs, J., & Kahana, M. (2012) · Hippocampus · doi:10.1002/hipo.20937 · Cited by 485 · see citing works
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Wen, H., & Liu, Z. (2016) · Brain Topography · doi:10.1007/s10548-015-0448-0 · Cited by 419 · see citing works
Closed-loop stimulation of temporal cortex rescues functional networks and improves memory
Ezzyat, Y., Wanda, P. A., Levy, D. F., Kadel, A., Aka, A., Pedisich, I., Sperling, M. R., Sharan, A. D., Lega, B. C., Burks, A., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02753-0 · Cited by 347 · see citing works
Self-citationYuan, H., Zotev, V., Phillips, R., Drevets, W. C., & Bodurka, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.031 · Cited by 352 · see citing works
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Self-citationKeller, C. J., Bickel, S., Honey, C. J., Groppe, D. M., Entz, L., Craddock, R. C., Lado, F. A., Kelly, C., Milham, M., & Mehta, A. D. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4837-12.2013 · Cited by 245 · see citing works
Neural correlate of the construction of sentence meaning
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Cortical gamma responses: Searching high and low
Crone, N. E., Korzeniewska, A., & Franaszczuk, P. J. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.10.013 · Cited by 201 · see citing works
Roux, F., Wibral, M., Singer, W., Aru, J., & Uhlhaas, P. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.5778-12.2013 · Cited by 169 · see citing works
Decoding spoken phonemes from sensorimotor cortex with high-density ECoG grids
Ramsey, N. F., Salari, E., Aarnoutse, E. J., Vansteensel, M. J., Bleichner, M. G., & Freudenburg, Z. V. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.011 · Cited by 124 · see citing works
Cogitate Consortium, Ferrante, O., Gorska-Klimowska, U., Henin, S., Hirschhorn, R., Khalaf, A., Lepauvre, A., Liu, L., Richter, D., Vidal, Y., et al. (2025) · Nature · doi:10.1038/s41586-025-08888-1 · Cited by 136 · see citing works
“Most analyses focused on the high-gamma power as it closely correlated with neural spiking activity 71 and with the BOLD signal 37 .”
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Martin, S., Iturrate, I., Millán, J. D. R., Knight, R. T., & Pasley, B. N. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00422 · Cited by 115 · see citing works
Mohan, U. R., Watrous, A. J., Miller, J. F., Lega, B. C., Sperling, M. R., Worrell, G. A., Gross, R. E., Zaghloul, K. A., Jobst, B. C., Davis, K. A., et al. (2020) · Brain Stimulation · doi:10.1016/j.brs.2020.05.009 · Cited by 120 · see citing works
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Wen, H., & Liu, Z. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0187-16.2016 · Cited by 100 · see citing works
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Kuzovkin, I., Vicente, R., Petton, M., Lachaux, J.-P., Baciu, M., Kahane, P., Rheims, S., Vidal, J. R., & Aru, J. (2018) · Communications Biology · doi:10.1038/s42003-018-0110-y · Cited by 104 · see citing works
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Gao, R. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00722.2015 · Cited by 78 · see citing works
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Vishne, G., Gerber, E. M., Knight, R. T., & Deouell, L. Y. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112752 · Cited by 46 · see citing works
Weaver, K. E., Wander, J. D., Ko, A. L., Casimo, K., Grabowski, T. J., Ojemann, J. G., & Darvas, F. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.043 · Cited by 44 · see citing works
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Stephen, E. P., Hotan, G. C., Pierce, E. T., Harrell, P. G., Walsh, J. L., Brown, E. N., & Purdon, P. L. (2020) · Scientific Reports · doi:10.1038/s41598-020-68756-y · Cited by 27 · see citing works
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Thukral, A., Ershad, F., Enan, N., Rao, Z., & Yu, C. (2018) · IEEE Nanotechnology Magazine · doi:10.1109/mnano.2017.2781290 · Cited by 19 · see citing works
- Authors
- Manning, J. R., Jacobs, J., Fried, I., & Kahana, M. J.
- Affiliations
- University of Pennsylvania (US)
- University of California, Los Angeles (US)
- Corresponding author
- Kahana, Michael J.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-10-28
- Volume
- 29
- Issue
- 43
- Pages
- 13613-13620
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3001247
- OpenAlex
- W2009546211
- Cited by
- 973
- References
- 54
- Citations by year
- 2026: 72 · 2025: 107 · 2024: 83 · 2023: 82 · 2022: 74 · 2021: 63 · 2020: 61 · 2019: 63 · 2018: 59 · 2017: 49 · 2016: 45 · 2015: 52 · 2014: 51 · 2013: 39 · 2012: 31
- FWCI
- 11.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (0354378)
- National Institutes of Health (NS033221)
- National Institute of Mental Health (MH-062196, MH-61975, P50MH062196, R01MH061975)
- National Institute of Neurological Disorders and Stroke (NS033221, R56NS033221, R01NS033221, T32NS054575, F32NS050067, F32 NS50067-01A1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- local field potentials, neuronal spiking, neuronal ensembles, subthreshold activity
- MeSH terms
- Action Potentials, Brain, Electricity, Epilepsy, Humans, Microelectrodes, Neurons, Periodicity, Regression Analysis, Signal Processing, Computer-Assisted, Least-Squares Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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