The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Spontaneous and driven cortical activity: implications for computation.
Open accessAbstract
The traditional view of spontaneous neural activity as 'noise' has been challenged by recent findings suggesting that: (a) spontaneous activity in cortical populations is highly structured in both space and time, (b) the spatio-temporal structure of spontaneous activity is linked to the underlying connectivity of the cortical network, (c) spontaneous cortical activity interacts with external stimulation to generate responses to the individual presentations of a stimulus, (d) network connectivity is shaped in part by the statistics of natural signals and (e) ongoing cortical activity represents a continuous top-down prediction/expectation signal that interacts with incoming input to generate an updated representation of the world. These results can be integrated to provide a new framework for the study of cortical computation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“several experimental studies arrive at the conclusion that external stimuli only modulate the highly stochastic spontaneous firing activity of cortical networks of neurons [7], [8].”
From Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons (2011) · cites this paper as [8]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
Neural Basis of a Perceptual Decision in the Parietal Cortex (Area LIP) of the Rhesus Monkey
Shadlen, M. N., & Newsome, W. T. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.1916 · Cited by 1,755
Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses
Arieli, A., Sterkin, A., Grinvald, A., & Aertsen, A. (1996) · Science · doi:10.1126/science.273.5283.1868 · Cited by 1,660
Hierarchical Bayesian inference in the visual cortex
Lee, T. S., & Mumford, D. (2003) · Journal of the Optical Society of America A · doi:10.1364/josaa.20.001434 · Cited by 1,473 · cited 1×
“One way of thinking about the integration of information is via Bayesian inference, where the V1 circuitry works to find the state within the manifold that maximizes the conditional probability, p(XjY, Z), under some assumptions [46], p(XjY, Z) p(XjY)p(XjZ).”
Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex
Ohki, K., Chung, S., Ch'ng, Y. H., Kara, P., & Reid, R. C. (2005) · Nature · doi:10.1038/nature03274 · Cited by 1,191
Orientation Selectivity and the Arrangement of Horizontal Connections in Tree Shrew Striate Cortex
Bosking, W. H., Zhang, Y., Schofield, B. R., & Fitzpatrick, D. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-06-02112.1997 · Cited by 1,115
Theory of orientation tuning in visual cortex.
Ben-Yishai, R., Bar‐Or, R. L., & Sompolinsky, H. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.9.3844 · Cited by 1,091
Brain states: top-down influences in sensory processing.
Gilbert, C., & Sigman, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.05.019 · Cited by 1,008
The statistical reliability of signals in single neurons in cat and monkey visual cortex
Tolhurst, D. J., Movshon, J. A., & Dean, A. F. (1983) · Vision Research · doi:10.1016/0042-6989(83)90200-6 · Cited by 1,002
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–235 of 235
Profound impact of hippocampal output on the interpretation of tactile input patterns in SI neuronsPreprint
Etemadi, L., Enander, J. M. D., & Jörntell, H. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.27.518101
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0010
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0011
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0008
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0006
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0012
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.002.0006
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0007
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.002.0003
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0004
What Is Psychedelic Experience?
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0002
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.002.0005
Lyon, A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198843757.003.0003
A General and Accurate Method for Neuronal Ensemble Detection in Spiking Neural Networks
Herzog, R. A., Mora, S., Prada, G., Minonzio, J.-G., Escobar, M.-J., Cofré, R., & Palacios, A. G. (2024) · Neuromethods · doi:10.1007/978-1-0716-4208-5_3
Hidalgo, D., Dellaferrera, G., Ramos-Traslosheros, G., Xiao, W., Ponce, C. R., Papadopouli, M., Smirnakis, S. M., & Kreiman, G. (2024) · eLife · doi:10.1101/2024.12.05.626981
Retrodictive Evidence for the Structure of Memory EngramPreprint
Vadakkan, K. I. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5072253
Carvalho, J., Fernandes, F. F., Valente, M., Haak, K. V., & Shemesh, N. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.23.639720
Hidalgo, D., Dellaferrera, G., Ramos-Traslosheros, G., Xiao, W., Ponce, C. R., Papadopouli, M., Smirnakis, S. M., & Kreiman, G. (2025) · eLife · doi:10.7554/elife.105119
Hidalgo, D., Dellaferrera, G., Xiao, W., Papadopouli, M., Smirnakis, S. M., & Kreiman, G. (2025) · eLife · doi:10.7554/elife.105119.1
Dose-response of Transcranial Photobiomodulation on Resting-State EEG DynamicsPreprint
Song, Y., Li, Y., Wang, Y., Yuan, X., Hu, W., Hu, Y., Guo, J., Liu, H., & Li, D. (2025) · Research Square · doi:10.21203/rs.3.rs-6679111/v1
Spatiotemporal Abstraction Theory: Re‐Interpretation of Localized Cortical NetworksPreprint
Fridman, G. Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.07.663596
Neuro-Inspired Ensemble-to-Ensemble Communication Primitives for Sparse & Efficient ANNs
Konstantaropoulos, O., Smirnakis, S. M., & Papadopouli, M. (2025) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe66822.2025.00104
Changes in Human Brain Networks and Spontaneous Activity Caused by Motor and Cognitive Learning
Imamizu, H. (2014) · Springer eBooks · doi:10.1007/978-4-431-55037-2_18
Exact solution of a class of critical dynamical systems: Information routing in complete graphsPreprint
Schuelein, A., Marković, D., Gros, C., & von Gœthe, J. W. (2011) · arXiv (Cornell University)
Stengel, C., Schwartzmann, B., Chatterjee, R., Atluri, S., Vaghei, Y., Arnott, S. R., Blier, P., Dhami, P., Foster, J. A., Frey, B. N., et al. (2025) · The Canadian Journal of Psychiatry · doi:10.1177/07067437251408188
Altwegg‐Boussac, T. (2015) · theses.fr (ABES) · doi:10.70675/b00291fezcae2z498az82e5zaf11f0672b45
Using connectivity to investigate brain (dys)function
Kopál, J. (2021) · theses.fr (ABES) · doi:10.70675/6742c30ez63b7z4280zb0acza9b27dc994c8
The neuronal basis of auditory-induced and spontaneous behavior in the zebrafish larva
Privat, M. (2021) · theses.fr (ABES) · doi:10.70675/c7cf74ebze0c8z47f3zb7daz88662078804c
Evolution de l'activité de la région CA1 de l'hippocampe pendant le développement postnatal précoce
Dard, R. F. (2022) · theses.fr (ABES) · doi:10.70675/a8322da1z46a2z4e19zbbd3zffe1e9d8cc19
Predictability of evoked activity governs the geometry of spontaneous neural manifoldsPreprint
Asabuki, T., & Claudia Clopath, A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.19.719506
Intrinsic Population Dynamics are a Neuronal Substrate for Visual AttentionPreprint
Schmidt, F. H., Młynarski, W. F., Georges, A., Sumser, A., Tkačik, G., & Joesch, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.02.729565
Neural noise as a characteristic feature and target for amblyopia treatment
Kotelin, V. I., Зуева, М. В., Khubieva, R. R., & Natalia, M. (2026) · Russian Ophthalmological Journal · doi:10.21516/2072-0076-2026-19-3-129-136
Neural dynamics in cortical populations
Pachitariu, M. (2015) · UCL Discovery (University College London)
Metadata
- Authors
- Ringach, D. L.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Ringach, Dario L
- ORCID
- Ringach, Dario L
- Venue
- Current Opinion in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 19
- Issue
- 4
- Pages
- 439-444
- ISSN
- 0959-4388 (ISSN-L)
- PMC
- PMC3319344
- OpenAlex
- W2148439693
- Cited by
- 234
- References
- 50
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 11 · 2023: 29 · 2022: 14 · 2021: 21 · 2020: 8 · 2019: 13 · 2018: 14 · 2017: 18 · 2016: 15 · 2015: 17 · 2014: 7 · 2013: 13 · 2012: 16
- FWCI
- 0.78
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Opinion in Neurobiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Eye Institute (R01EY018322, EY-12816, EY18322, R01EY012816)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- spontaneous neuronal activity, cortical activity, cortical connectivity, spatiotemporal structure, top-down prediction, expectations, cortical computation, noise
- MeSH terms
- Animals, Cerebral Cortex, Models, Neurological, Nerve Net, Neurons, Photic Stimulation, Visual Perception, Neural Networks, Computer
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 ›
Are you an author, or do you see a problem with this page? Request a review
