The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses
Abstract
Evoked activity in the mammalian cortex and the resulting behavioral responses exhibit a large variability to repeated presentations of the same stimulus. This study examined whether the variability can be attributed to ongoing activity. Ongoing and evoked spatiotemporal activity patterns in the cat visual cortex were measured with real-time optical imaging; local field potentials and discharges of single neurons were recorded simultaneously, by electrophysiological techniques. The evoked activity appeared deterministic, and the variability resulted from the dynamics of ongoing activity, presumably reflecting the instantaneous state of cortical networks. In spite of the large variability, evoked responses in single trials could be predicted by linear summation of the deterministic response and the preceding ongoing activity. Ongoing activity must play an important role in cortical function and cannot be ignored in exploration of cognitive processes.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“However, spontaneous activity is not random and is determined by the operation of similar or the same neural circuits involved in sensory responses”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Arieli et al., 1996
In the citing paper
“Neuronal variability in firing rates is particularly high during anesthesia, possibly as a result of enhanced slow fluctuations (Arieli et al., 1996; Ecker and Tolias, 2014; Goard and Dan, 2009; Goris et al., 2014; Hasenstaub et al., 2007; I-Chun et al., 2015; Marguet and Harris, 2011; Scholvinck et al., 2015; Zagha et al., 2013).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Arieli et al., 1996
In the citing paper
“For example, coherent spontaneous activity appears to be an important source of trial-to-trial variability in measured brain responses (42,43) and may relate to the trialto-trial variability commonly observed in human behavior (44).”
From Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems (2006) · cites this paper as [43]
Citations
Cites
The analysis of visual motion: a comparison of neuronal and psychophysical performance
Britten, K., Shadlen, M., Newsome, W., & Movshon, J. (1992) · The Journal of Neuroscience · doi:10.1523/jneurosci.12-12-04745.1992 · Cited by 1,958
Reliability of spike timing in neocortical neurons
Mainen, Z. F., & Sejnowski, T. J. (1995) · Science · doi:10.1126/science.7770778 · Cited by 1,950
Softky, W., & Koch, C. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-01-00334.1993 · Cited by 1,689
Noise, neural codes and cortical organization
Shadlen, M. N., & Newsome, W. T. (1994) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(94)90059-0 · Cited by 1,255
Shadlen, M., Britten, K., Newsome, W., & Movshon, J. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-04-01486.1996 · Cited by 824
Grinvald, A., Lieke, E. E., Rd, F., & Hildesheim, R. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-05-02545.1994 · Cited by 632
Self-citationSpatiotemporal firing patterns in the frontal cortex of behaving monkeys
Abeles, M., Bergman, H., Margalit, E., & Vaadia, E. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.4.1629 · Cited by 600
Cooper, R., Winter, A., CROW, H. J., & Walter, W. G. (1965) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(65)90088-x · Cited by 561
Optical imaging of neuronal activity.
Grinvald, A., Frostig, R. D., Lieke, E. E., & Hildesheim, R. (1988) · Physiological Reviews · doi:10.1152/physrev.1988.68.4.1285 · Cited by 543
Self-citationElul, R. (1972) · International review of neurobiology · doi:10.1016/s0074-7742(08)60333-5 · Cited by 380
Flagged first, then by citations
Research works printed but not linked: 10
- ARIELI A, IN PRESS SOC NEUR AB.
- ARIELI A, INFORMATION PROCESSI1992123.
- ARIELI A, SOC NEUR ABSTR 21, 772 (1995).
- BLAIR W, SOC NEUR ABSTR 20, 1279 (1994).
- CREUTZFELDT O, HDB ELECTROENCEPHALO 2, 5 (1974).
- GEVINS A.S., CRIT REV BIOENG 1, 113 (1980).
- HOLT G.R., SOC NEUR ABSTR 21, 22 (1995).
- MECHLER F, SOC NEUR ABSTR 21, 22 (1995).
- REGAN D, HUMAN BRAIN ELECTROP1989.
- ROSENBLITH W.A., PROCESSING NEUROELEC1959.
Cited by
Sorted by citations
Items 101–111 of 111
Cellular mechanisms of temporal sensitivity in visual cortex neurons
Cardin, J. A., Kumbhani, R. D., Contreras, D., & Palmer, L. A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5279-09.2010 · Cited by 62
Origin of the synchronized network activity in the rabbit developing hippocampus
De La Prida, L. M., Bolea, & Sanchez‐Andres (1998) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1998.00097.x · Cited by 68
Critical branching neural networks.
Kello, C. T. (2013) · Psychological Review · doi:10.1037/a0030970 · Cited by 63
Vishne, G., Gerber, E. M., Knight, R. T., & Deouell, L. Y. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112752 · Cited by 46
Auditory hallucinations: Expectation–perception model
Nazimek, J. M., Hunter, M. D., & Woodruff, P. W. R. (2012) · Medical Hypotheses · doi:10.1016/j.mehy.2012.03.014 · Cited by 41
Kim, K., Ladenbauer, J., Babo-Rebelo, M., Buot, A., Lehongre, K., Adam, C., Hasboun, D., Lambrecq, V., Navarro, V., Ostojic, S., et al. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.2291-18.2019 · Cited by 39
Layer III neurons control synchronized waves in the immature cerebral cortex
Namiki, S., Norimoto, H., Kobayashi, C., Nakatani, K., Matsuki, N., & Ikegaya, Y. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2522-12.2013 · Cited by 36
Koukouli, F., Rooy, M., Changeux, J.-P., & Maskos, U. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1614417113 · Cited by 33
The generative grammar of the brain: a critique of internally generated representations
Dragoi, G. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00763-0 · Cited by 28
Hoshino, O. (2005) · Neural Computation · doi:10.1162/0899766054026675 · Cited by 11
Eriksson, D., Wunderle, T., & Schmidt, K. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00026 · Cited by 7
Metadata
- Authors
- Arieli, A., Sterkin, A., Grinvald, A., & Aertsen, A.
- Affiliations
- Weizmann Institute of Science (IL)
- Corresponding author
- Aertsen, Ad
- Venue
- Science
- Published
- 1996-09-27
- Volume
- 273
- Issue
- 5283
- Pages
- 1868-1871
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2014339193
- Cited by
- 1,660
- References
- 27
- Citations by year
- 2026: 35 · 2025: 46 · 2024: 46 · 2023: 53 · 2022: 57 · 2021: 71 · 2020: 56 · 2019: 82 · 2018: 62 · 2017: 73 · 2016: 79 · 2015: 87 · 2014: 63 · 2013: 79 · 2012: 77
- FWCI
- 16.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- evoked potentials, response variability, cat visual cortex, local field potentials, real-time optical imaging, trial-to-trial variability, cortical network dynamics
- MeSH terms
- Animals, Cats, Evoked Potentials, Visual, Membrane Potentials, Neurons, Photic Stimulation, Signal Processing, Computer-Assisted, Visual Cortex, Visual Pathways
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
