The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex
Open accessAbstract
Cortical responses to sensory stimuli are modulated by behavioral state. In the primary visual cortex (V1), visual responses of pyramidal neurons increase during locomotion. This response gain was suggested to be mediated through inhibitory neurons, resulting in the disinhibition of pyramidal neurons. Using in vivo two-photon calcium imaging in layers 2/3 and 4 in mouse V1, we reveal that locomotion increases the activity of vasoactive intestinal peptide (VIP), somatostatin (SST) and parvalbumin (PV)-positive interneurons during visual stimulation, challenging the disinhibition model. In darkness, while most VIP and PV neurons remained locomotion responsive, SST and excitatory neurons were largely non-responsive. Context-dependent locomotion responses were found in each cell type, with the highest proportion among SST neurons. These findings establish that modulation of neuronal activity by locomotion is context-dependent and contest the generality of a disinhibitory circuit for gain control of sensory responses by behavioral state.
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
Figures









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
“In the visual cortex, the onset of arousal (as measured by pupil diameter) and locomotion increase neuronal gain32,33,36,37.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [36]
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
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 20,012 · cited 1×
“Visual stimuli were generated using the Psychophysics Toolbox package (Brainard, 1997) for MATLAB (Mathworks, MA) and displayed on an LCD monitor (51 29 cm, Dell, UK) placed 20 cm from the right eye, covering 104˚ 72˚ of the visual field.”
MethodUltrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474 · cited 5×
“…somatic fluorescence changes and spiking activity in different neuronal types and behavioral contexts In this study, we used the relative changes in fluorescence of the genetically-encoded calcium indicator GCaMP6f as a reporter of the spiking activity of cortical neurons (Chen et al., 2013).”
BackgroundMethodInfluentialModulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483 · cited 2×
“In agreement with previous electrophysiological observations (Niell and Stryker, 2010; Keller et al., 2012; Bennett et al., 2013; Polack et al., 2013; Saleem et al., 2013; Erisken et al., 2014; Reimer et al., 2014), we observed that, on average, locomotion increased the amplitude of calcium…”
BackgroundResultPfeffer, C. K., Xue, M., He, M., Huang, Z. J., & Scanziani, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3446 · Cited by 1,353 · cited 5×
“(A) Schematic of the connectivity between pyramidal neurons (Pyr) and subtypes of inhibitory neurons, vasoactive intestinal peptide (VIP), somatostatin (SST) and parvalbumin (PV) expressing neurons, established from in vitro studies in V1 (Pfeffer et al., 2013; Jiang et al., 2015).”
BackgroundResultInfluentialCortical interneurons that specialize in disinhibitory control
Pi, H.-J., Hangya, B., Kvitsiani, D., Sanders, J. I., Huang, Z. J., & Kepecs, A. (2013) · Nature · doi:10.1038/nature12676 · Cited by 1,136 · cited 1×
“An appealing aspect of the disinhibitory model was the idea of a canonical circuit for gain modulation of sensory responses (Pi et al., 2013).”
BackgroundImaging large-scale neural activity with cellular resolution in awake, mobile mice
Dombeck, D. A., Khabbaz, A. N., Collman, F., Adelman, T. L., & Tank, D. W. (2007) · Neuron · doi:10.1016/j.neuron.2007.08.003 · Cited by 1,099 · cited 1×
“We used two-photon calcium imaging in head-fixed mice that ran freely on a cylindrical treadmill (Figure 1C; Dombeck et al., 2007).”
MethodA Cortical Circuit for Gain Control by Behavioral State
Fu, Y., Tucciarone, J. M., Espinosa, J. S., Sheng, N., Darcy, D. P., Nicoll, R. A., Huang, Z. J., & Stryker, M. P. (2014) · Cell · doi:10.1016/j.cell.2014.01.050 · Cited by 937 · cited 15×
“We suggest that neuromodulatory inputs triggered by locomotion would not only activate VIP neurons through nicotinic acetylcholine receptors as previously shown (Alitto and Dan, 2012; Arroyo et al., 2014; Fu et al., 2014), but would also directly activate PV, SST, and excitatory neurons.”
BackgroundMethodResultInfluentialPrinciples of connectivity among morphologically defined cell types in adult neocortex
Jiang, X., Shen, S., Cadwell, C. R., Berens, P., Sinz, F., Ecker, A. S., Patel, S., & Tolias, A. S. (2015) · Science · doi:10.1126/science.aac9462 · Cited by 908 · cited 3×
“Based on a comprehensive analysis of morphological and electrophysiological properties of inhibitory neurons, a recent in vitro study has identified seven distinct types of cortical interneurons in layer 2/3 (Jiang et al., 2015).”
BackgroundResultKim, H., & Park, H. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm134 · Cited by 890
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
Pupil fluctuations track fast switching of cortical states during quiet wakefulness
Reimer, J., Froudarakis, E., Cadwell, C. R., Yatsenko, D., Denfield, G. H., & Tolias, A. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.033 · Cited by 717 · cited 11×
“The authors distinguished two populations of SST interneurons (see Supplementary Figure 5C of Reimer et al., 2014): Type I cells were inhibited by running while Type II cells were depolarized.”
BackgroundMethodResultInfluentialSensorimotor mismatch signals in primary visual cortex of the behaving mouse
Keller, G. B., Bonhoeffer, T., & Hübener, M. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.040 · Cited by 668 · cited 4×
“In vivo recordings in awake mice have shown that locomotion modulates the response properties of neurons in the primary visual cortex (V1), resulting in an increased gain of excitatory neuron responses to visual stimuli (Niell and Stryker, 2010; Keller et al., 2012; Bennett et al., 2013; Polack et al., 2013; Saleem et…”
BackgroundResultInfluentialCellular mechanisms of brain state-dependent gain modulation in visual cortex
Polack, P.-O., Friedman, J., & Golshani, P. (2013) · Nature Neuroscience · doi:10.1038/nn.3464 · Cited by 628 · cited 12×
“However, a previous study has reported an increase of SST spiking activity in layer 2/3 during locomotion (Polack et al., 2013), an observation that challenges the hypothesis of an SST-cell mediated”
BackgroundResultInfluentialFast modulation of visual perception by basal forebrain cholinergic neurons
Pinto, L., Goard, M. J., Estandian, D., Xu, M., Kwan, A. C., Lee, S.-H., Harrison, T. C., Feng, G., & Dan, Y. (2013) · Nature Neuroscience · doi:10.1038/nn.3552 · Cited by 529 · cited 1×
“Finally, in vivo studies have shown that neuromodulatory inputs, cholinergic and noradrenergic, can control the gain and signalto-noise ratio of V1 excitatory neurons during locomotion (Pinto et al., 2013; Polack et al., 2013; Bennett et al., 2014; Lee et al., 2014).”
BackgroundCholinergic Switching Within Neocortical Inhibitory Networks
Xiang, Z., Huguenard, J. R., & Prince, D. A. (1998) · Science · doi:10.1126/science.281.5379.985 · Cited by 438 · cited 2×
“Previous work has demonstrated cholinergic facilitation of cortical inhibitory neurons (Kawaguchi, 1997; Xiang et al., 1998; Arroyo et al., 2012; Alitto and Dan, 2012), including SST neurons (Kawaguchi, 1997; Fanselow et al.”
BackgroundIntegration of visual motion and locomotion in mouse visual cortex
Saleem, A. B., Ayaz, A., Jeffery, K. J., Harris, K. D., & Carandini, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3567 · Cited by 418 · cited 14×
“…agreement with previous electrophysiological observations (Niell and Stryker, 2010; Keller et al., 2012; Bennett et al., 2013; Polack et al., 2013; Saleem et al., 2013; Erisken et al., 2014; Reimer et al., 2014), we observed that, on average, locomotion increased the amplitude of calcium…”
BackgroundMethodResultInfluentialThalamic nuclei convey diverse contextual information to layer 1 of visual cortex
Roth, M., Dahmen, J. C., Muir, D. R., Imhof, F., Martini, F. J., & Hofer, S. B. (2015) · Nature Neuroscience · doi:10.1038/nn.4197 · Cited by 381 · cited 3×
“Indeed, recent studies have shown that projections from the dorsal lateral geniculate nucleus (Erisken et al., 2014; Roth et al., 2016) and from the thalamic latero-posterior nucleus (Roth et al.”
BackgroundSomatostatin-expressing neurons in cortical networks
Urban-Ciecko, J., & Barth, A. L. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.53 · Cited by 374
Neocortical Somatostatin-Expressing GABAergic Interneurons Disinhibit the Thalamorecipient Layer 4
Xu, H., Jeong, H.-Y., Tremblay, R., & Rudy, B. (2013) · Neuron · doi:10.1016/j.neuron.2012.11.004 · Cited by 366 · cited 2×
“, 2012; Alitto and Dan, 2012), including SST neurons (Kawaguchi, 1997; Fanselow et al., 2008; Xu et al., 2013; Chen et al., 2015).”
BackgroundCa2+ permeability of nicotinic acetylcholine receptors
Fucile, S. (2003) · Cell Calcium · doi:10.1016/j.ceca.2003.08.006 · Cited by 329 · cited 2×
“Considering that neuromodulators can regulate calcium influx (Fucile, 2004; Shen and Yakel, 2009), this second possibility may result from the action of neuromodulators released during locomotion that would increase the amount of calcium entering the neuron in response to each spike.”
BackgroundModulation of long-term synaptic depression in visual cortex by acetylcholine and norepinephrine
Kirkwood, A., Rozas, C., Kirkwood, J., Perez, F., & Bear, M. F. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-05-01599.1999 · Cited by 315 · cited 2×
“used for demixing spatially overlapping signal sources (Kim and Park, 2007; Langville et al., 2014), as implemented in NIMFA 1.”
MethodInfluentialSubthreshold mechanisms underlying state-dependent modulation of visual responses
Bennett, C., Arroyo, S., & Hestrin, S. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.007 · Cited by 292 · cited 4×
“In vivo recordings in awake mice have shown that locomotion modulates the response properties of neurons in the primary visual cortex (V1), resulting in an increased gain of excitatory neuron responses to visual stimuli (Niell and Stryker, 2010; Keller et al., 2012; Bennett et al., 2013; Polack et al., 2013; Saleem et…”
BackgroundResultInfluentialNeurotransmitter Control of Neocortical Neuronal Activity and Excitability
McCormick, D. A., Wang, Z., & Huguenard, J. R. (1993) · Cerebral Cortex · doi:10.1093/cercor/3.5.387 · Cited by 289 · cited 1×
“Similarly, in vitro studies have shown that norepinephrine can depolarize both excitatory (McCormick et al., 1993; Kirkwood et al., 1999) and inhibitory (Kawaguchi and Shindou, 1998) cortical neurons.”
BackgroundIdentification of a brainstem circuit regulating visual cortical state in parallel with locomotion
Lee, A. M., Hoy, J. L., Bonci, A., Wilbrecht, L., Stryker, M. P., & Niell, C. M. (2014) · Neuron · doi:10.1016/j.neuron.2014.06.031 · Cited by 282 · cited 2×
“In addition, these neurons receive subcortical inputs from the dorsal lateral geniculate nucleus as well as neuro- modulatory inputs (Polack et al., 2013; Fu et al., 2014; Lee et al., 2014).”
BackgroundA Study of Clustered Data and Approaches to Its Analysis
Galbraith, S., Daniel, J. A., & Vissel, B. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0362-10.2010 · Cited by 270 · cited 2×
“Therefore, comparing measures across neurons, rather than across animals, would incorrectly inflate the degrees of freedom with the risk of false positive results for detecting significant differences (Galbraith et al., 2010).”
BackgroundFanselow, E. E., Richardson, K. A., & Connors, B. W. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90691.2008 · Cited by 262 · cited 1×
“Previous work has demonstrated cholinergic facilitation of cortical inhibitory neurons (Kawaguchi, 1997; Xiang et al., 1998; Arroyo et al., 2012; Alitto and Dan, 2012), including SST neurons (Kawaguchi, 1997; Fanselow et al., 2008; Xu et al., 2013; Chen et al., 2015).”
BackgroundEffects of locomotion extend throughout the mouse early visual system
Erisken, S., Vaiceliunaite, A., Jurjut, O., Fiorini, M., Katzner, S., & Busse, L. (2014) · Current Biology · doi:10.1016/j.cub.2014.10.045 · Cited by 256 · cited 5×
“Using in vivo two-photon calcium imaging in layers 2/3 and 4 in mouse V1, we reveal that locomotion increases the activity of vasoactive intestinal peptide (VIP), somatostatin (SST) and parvalbumin (PV)-positive interneurons during visual stimulation, challenging the disinhibition model.”
BackgroundMethodInfluentialSelective Cholinergic Modulation of Cortical GABAergic Cell Subtypes
Kawaguchi, Y. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.78.3.1743 · Cited by 250 · cited 3×
“Previous work has demonstrated cholinergic facilitation of cortical inhibitory neurons (Kawaguchi, 1997; Xiang et al., 1998; Arroyo et al., 2012; Alitto and Dan, 2012), including SST neurons (Kawaguchi, 1997; Fanselow et al.”
BackgroundSynaptic Computation and Sensory Processing in Neocortical Layer 2/3
Petersen, C. C. H., & Crochet, S. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.020 · Cited by 249 · cited 1×
“In primary sensory areas, neuronal responses to sensory inputs are also modulated by behavioral states, including level of arousal, attention and locomotion (Iriki et al., 1996; Petersen and Crochet, 2013; Bennett et al., 2014; McGinley et al., 2015).”
BackgroundNicotinic acetylcholine receptor-mediated calcium signaling in the nervous system
Shen, J., & Yakel, J. L. (2009) · Acta Pharmacologica Sinica · doi:10.1038/aps.2009.64 · Cited by 242 · cited 1×
“Considering that neuromodulators can regulate calcium influx (Fucile, 2004; Shen and Yakel, 2009), this second possibility may result from the action of neuromodulators released during locomotion that would increase the amount of calcium entering the neuron in response to each spike.”
BackgroundNoradrenergic Excitation and Inhibition of GABAergic Cell Types in Rat Frontal Cortex
Kawaguchi, Y., & Shindou, T. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-17-06963.1998 · Cited by 230 · cited 1×
“Similarly, in vitro studies have shown that norepinephrine can depolarize both excitatory (McCormick et al., 1993; Kirkwood et al., 1999) and inhibitory (Kawaguchi and Shindou, 1998) cortical neurons.”
BackgroundSIMA: Python software for analysis of dynamic fluorescence imaging data
Kaifosh, P., Zaremba, J. D., Danielson, N., & Losonczy, A. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00080 · Cited by 220 · cited 1×
“Image analysis To correct for brain motion after image acquisition, we used 2D plane translation-based image alignment (SIMA 1.2.0, sequential image analysis; Kaifosh et al., 2014).”
MethodInfluentialAn acetylcholine-activated microcircuit drives temporal dynamics of cortical activity
Chen, N., Sugihara, H., & Sur, M. (2015) · Nature Neuroscience · doi:10.1038/nn.4002 · Cited by 210 · cited 2×
“, 2012; Alitto and Dan, 2012), including SST neurons (Kawaguchi, 1997; Fanselow et al., 2008; Xu et al., 2013; Chen et al., 2015).”
BackgroundAlgorithms, Initializations, and Convergence for the Nonnegative Matrix FactorizationPreprint
Langville, A. N., Meyer, C. D., Albright, R., Cox, J., & Duling, D. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1407.7299 · Cited by 175 · cited 2×
“used for demixing spatially overlapping signal sources (Kim and Park, 2007; Langville et al., 2014), as implemented in NIMFA 1.”
MethodInfluentialCell-type-specific modulation of neocortical activity by basal forebrain input
Alitto, H. J., & Dan, Y. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00079 · Cited by 156 · cited 3×
“Previous work has demonstrated cholinergic facilitation of cortical inhibitory neurons (Kawaguchi, 1997; Xiang et al., 1998; Arroyo et al., 2012; Alitto and Dan, 2012), including SST neurons (Kawaguchi, 1997; Fanselow et al.”
BackgroundArroyo, S., Bennett, C., Aziz, D., Brown, S. P., & Hestrin, S. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0115-12.2012 · Cited by 138 · cited 1×
“Previous work has demonstrated cholinergic facilitation of cortical inhibitory neurons (Kawaguchi, 1997; Xiang et al., 1998; Arroyo et al., 2012; Alitto and Dan, 2012), including SST neurons (Kawaguchi, 1997; Fanselow et al., 2008; Xu et al., 2013; Chen et al., 2015).”
BackgroundStaged decline of neuronal function in vivo in an animal model of Alzheimer's disease
Grienberger, C., Rochefort, N. L., Adelsberger, H., Henning, H. A., Hill, D. N., Reichwald, J., Staufenbiel, M., & Konnerth, A. (2012) · Nature Communications · doi:10.1038/ncomms1783 · Cited by 138
Self-citationVIP+ interneurons control neocortical activity across brain states
Jackson, J., Ayzenshtat, I., Karnani, M., & Yuste, R. (2016) · Journal of Neurophysiology · doi:10.1152/jn.01124.2015 · Cited by 93
Attention-induced neuronal activity in the monkey somatosensory cortex revealed by pupillometrics
Iriki, A., Tanaka, M., & Iwamura, Y. (1996) · Neuroscience Research · doi:10.1016/0168-0102(96)01043-7 · Cited by 86 · cited 2×
“In primary sensory areas, neuronal responses to sensory inputs are also modulated by behavioral states, including level of arousal, attention and locomotion (Iriki et al., 1996; Petersen and Crochet, 2013; Bennett et al., 2014; McGinley et al., 2015).”
BackgroundNIMFA: A Python Library for Nonnegative Matrix FactorizationPreprint
Žitnik, M., & Zupan, B. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1808.01743 · Cited by 81 · cited 1×
“In order to remove neuropil contamination, we used nonnegative matrix factorization (NMF), which is a low rank matrix decomposition method used for demixing spatially overlapping signal sources (Kim and Park, 2007; Langville et al., 2014), as implemented in NIMFA 1.2.1 (Žitnik and Zupan, 2012).”
MethodInfluentialCell Types, Circuits, and Receptive Fields in the Mouse Visual Cortex
Niell, C. M. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-033807 · Cited by 78
Nicotinic modulation of cortical circuits
Arroyo, S., Bennett, C., & Hestrin, S. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00030 · Cited by 71 · cited 1×
“We suggest that neuromodulatory inputs triggered by locomotion would not only activate VIP neurons through nicotinic acetylcholine receptors as previously shown (Alitto and Dan, 2012; Arroyo et al., 2014; Fu et al., 2014), but would also directly activate PV, SST, and excitatory neurons.”
BackgroundBennett, C., Arroyo, S., & Hestrin, S. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.007 · Cited by 12 · cited 4×
“In primary sensory areas, neuronal responses to sensory inputs are also modulated by behavioral states, including level of arousal, attention and locomotion (Iriki et al., 1996; Petersen and Crochet, 2013; Bennett et al., 2014; McGinley et al., 2015).”
BackgroundInfluential
Cited by
Sorted by citations
Spontaneous behaviors drive multidimensional, brainwide activity
Stringer, C., Pachitariu, M., Steinmetz, N., Reddy, C. B., Carandini, M., & Harris, K. D. (2019) · Science · doi:10.1126/science.aav7893 · Cited by 1,510
Predictive Processing: A Canonical Cortical Computation
Keller, G. B., & Mrsic-Flogel, T. D. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.003 · Cited by 836
“, 2013), which exert context dependent influence on responses in visual cortex (Pakan et al., 2016).”
A Sensorimotor Circuit in Mouse Cortex for Visual Flow Predictions
Leinweber, M., Ward, D. R., Sobczak, J. M., Attinger, A., & Keller, G. B. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.036 · Cited by 375
Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327
Vision and Locomotion Shape the Interactions between Neuron Types in Mouse Visual Cortex
Dipoppa, M., Ranson, A., Krumin, M., Pachitariu, M., Carandini, M., & Harris, K. D. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.037 · Cited by 290
Metadata
- Authors
- Pakan, J. M., Lowe, S. C., Dylda, E., Keemink, S. W., Currie, S. P., Coutts, C. A., & Rochefort, N. L.
- Affiliations
- University of Edinburgh (GB)
- University of Freiburg (DE)
- Corresponding author
- Rochefort, Nathalie L
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2016-08-23
- Volume
- 5
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC5030095
- OpenAlex
- W2515318112
- Cited by
- 282
- References
- 43
- Citations by year
- 2026: 12 · 2025: 25 · 2024: 34 · 2023: 47 · 2022: 31 · 2021: 17 · 2020: 29 · 2019: 29 · 2018: 30 · 2017: 26 · 2016: 2
- FWCI
- 18.46
- Type
- journal article
- Language
- en
- Update notices
- correction (2017-09-06)
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Funders
- European Commission (Marie Curie Actions (FP7), IEF 624461, EuroSpin Erasmus Mundus Program, Marie Curie Actions (FP7), MC-CIG 631770)
- University Of Edinburgh (Doctoral Training Centre in Neuroinformatics, Graduate School of Life Sciences, Chancellor's fellow starting grant)
- Engineering and Physical Sciences Research Council (Doctoral Training Centre in Neuroinformatics, EP/F500385/1, Doctoral Training Centre in Neuroinformatics, BB/F529254/1)
- Patrick Wild Centre
- The Shirley Foundation
- RS MacDonald Charitable Trust (Seedcorn Grant 21)
- Wellcome Trust (Sir Henry Dale fellowship, 102857/Z/13/Z)
- Royal Society (Sir Henry Dale fellowship, 102857/Z/13/Z)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- primary visual cortex, locomotion, behavioral state, disinhibition, gain control, vasoactive intestinal peptide interneurons, somatostatin interneurons, parvalbumin interneurons, pyramidal neurons, inhibitory interneurons, context-dependent responses
- MeSH terms
- Animals, Behavior, Animal, Interneurons, Locomotion, Models, Neurological, Visual Cortex, Pyramidal Cells, Mice
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