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.
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
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 visual cortex, the onset of arousal (as measured by pupil diameter) and locomotion increase neuronal gain.
“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.
Cites
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 19,308 · cited 1× · see citing works
“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× · see citing works
“…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× · see citing works
“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× · see citing works
“(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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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 865 · see citing works
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 · see citing works
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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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 402 · cited 14× · see citing works
“…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…”
BackgroundMethodResultInfluentialSomatostatin-expressing neurons in cortical networks
Urban-Ciecko, J., & Barth, A. L. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.53 · Cited by 374 · see citing works
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× · see citing works
“, 2012; Alitto and Dan, 2012), including SST neurons (Kawaguchi, 1997; Fanselow et al., 2008; Xu et al., 2013; Chen et al., 2015).”
BackgroundThalamic 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 356 · cited 3× · see citing works
“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.”
BackgroundCa2+ permeability of nicotinic acetylcholine receptors
Fucile, S. (2003) · Cell Calcium · doi:10.1016/j.ceca.2003.08.006 · Cited by 320 · cited 2× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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.”
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× · see citing works
“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.”
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 239 · cited 1× · see citing works
“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).”
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× · see citing works
“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 225 · cited 1× · see citing works
“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× · see citing works
“, 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× · see citing works
“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× · see citing works
“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× · see citing works
“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 · see citing works
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 · see citing works
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× · see citing works
“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× · see citing works
“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 71 · see citing works
Nicotinic modulation of cortical circuits
Arroyo, S., Bennett, C., & Hestrin, S. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00030 · Cited by 64 · cited 1× · see citing works
“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 11 · cited 4× · see citing works
“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
Flagged first, then by citations
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 · see citing works
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 · see citing works
“, 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 · see citing works
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 · see citing works
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 280 · see citing works
Video-rate volumetric functional imaging of the brain at synaptic resolution
Lu, R., Sun, W., Liang, Y., Kerlin, A., Bierfeld, J., Seelig, J. D., Wilson, D. E., Scholl, B., Mohar, B., Tanimoto, M., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4516 · Cited by 272 · see citing works
Amygdala Inhibitory Circuits Regulate Associative Fear Conditioning
Krabbe, S., Gründemann, J., & Lüthi, A. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.006 · Cited by 255 · see citing works
Inhibitory Interneurons Regulate Temporal Precision and Correlations in Cortical Circuits
Cardin, J. A. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.07.015 · Cited by 254 · see citing works
Locomotion Enhances Neural Encoding of Visual Stimuli in Mouse V1
Dadarlat, M. C., & Stryker, M. P. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2728-16.2017 · Cited by 205 · see citing works
Goel, A., Cantu, D. A., Guilfoyle, J. L., Chaudhari, G., Newadkar, A., Todisco, B., de Alba, D., Kourdougli, N., Schmitt, L., Pedapati, E. V., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0231-0 · Cited by 177 · see citing works
A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex
Keller, A. J., Dipoppa, M., Roth, M., Caudill, M. S., Ingrosso, A., Miller, K. D., & Scanziani, M. (2020) · Neuron · doi:10.1016/j.neuron.2020.11.013 · Cited by 177 · see citing works
A transcriptomic axis predicts state modulation of cortical interneurons
Bugeon, S., Duffield, J. A. M., Dipoppa, M., Ritoux, A., Prankerd, I., Nicoloutsopoulos, D., Orme, D., Shinn, M., Peng, H., Forrest, H., et al. (2022) · Nature · doi:10.1038/s41586-022-04915-7 · Cited by 177 · see citing works
Adaptive disinhibitory gating by VIP interneurons permits associative learning
Krabbe, S., Paradiso, E., d‘Aquin, S., Bitterman, Y., Courtin, J., Xu, C., Yonehara, K., Marković, M., Müller, C. R., Eichlisberger, T., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0508-y · Cited by 161 · see citing works
A New Perspective on Predictive Motor Signaling
Straka, H., Simmers, J., & Chagnaud, B. P. (2018) · Current Biology · doi:10.1016/j.cub.2018.01.033 · Cited by 152 · see citing works
Layer-specific integration of locomotion and sensory information in mouse barrel cortex
Ayaz, A., Stäuble, A., Hamada, M., Wulf, M.-A., Saleem, A. B., & Helmchen, F. (2019) · Nature Communications · doi:10.1038/s41467-019-10564-8 · Cited by 151 · see citing works
Functions and dysfunctions of neocortical inhibitory neuron subtypes
Hattori, R., Kuchibhotla, K. V., Froemke, R. C., & Komiyama, T. (2017) · Nature Neuroscience · doi:10.1038/nn.4619 · Cited by 142 · see citing works
Locomotion-dependent remapping of distributed cortical networks
Clancy, K. B., Oršolić, I., & Mrsic‐Flogel, T. D. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0357-8 · Cited by 137 · see citing works
Guo, C., Blair, G. J., Sehgal, M., Jimka, F. N. S., Bellafard, A., Silva, A. J., Golshani, P., Basso, M. A., Blair, H. T., & Aharoni, D. B. (2023) · Science Advances · doi:10.1126/sciadv.adg3918 · Cited by 133 · see citing works
Synaptic Mechanisms of Feature Coding in the Visual Cortex of Awake Mice
Adesnik, H. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.014 · Cited by 130 · see citing works
A Laminar Organization for Selective Cortico-Cortical Communication
D’Souza, R. D., & Burkhalter, A. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00071 · Cited by 138 · see citing works
“…in the context-dependent selection and modulation of relevant feedforward inputs (Bastos et al., 2012; Larkum, M. 2013; Saleem et al., 2013; Vaiceliunaite et al., 2013; Chen et al., 2014; Pafundo et al., 2016; Pakan et al., 2016; Attinger et al., 2017; Kuchibhotla et al., 2017; Nandy et al., 2017).”
BackgroundInfluentialCortical inhibitory interneurons control sensory processing
Wood, K. C., Blackwell, J. M., & Geffen, M. N. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.018 · Cited by 128 · see citing works
Rapid mesoscale volumetric imaging of neural activity with synaptic resolution
Lu, R., Liang, Y., Meng, G., Zhou, P., Svoboda, K., Paninski, L., & Ji, N. (2020) · Nature Methods · doi:10.1038/s41592-020-0760-9 · Cited by 120 · see citing works
Barnes, S. J., Franzoni, E., Jacobsen, R. I., Erdélyi, F., Szabó, G., Claudia Clopath, A., Keller, G. B., & Keck, T. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.052 · Cited by 118 · see citing works
“…(Ibrahim et al., 2016; Iurilli et al., 2012), motor (Andermann et al., 2011; Ayaz et al., 2013; Keller et al., 2012; Niell and Stryker, 2010; Pakan et al., 2016; Saleem et al., 2013; Zmarz and Keller, 2016), and somatosensory stimuli (Yoshitake et al., 2013), as well as contextual signals…”
BackgroundD'Souza, R. D., Meier, A. M., Bista, P., Wang, Q., & Burkhalter, A. (2016) · eLife · doi:10.7554/elife.19332 · Cited by 100 · see citing works
The Cortical States of Wakefulness
Poulet, J. F. A., & Crochet, S. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00064 · Cited by 119 · see citing works
“Variable effects on the mean Vm and spike rates have been observed for PV and SOM interneurons in V1 (Polack et al., 2013; Fu et al., 2014; Vinck et al., 2015; Pakan et al., 2016; Dipoppa et al., 2018) and Au1 (Schneider et al.”
BackgroundReward Association Enhances Stimulus-Specific Representations in Primary Visual Cortex
Henschke, J. U., Dylda, E., Katsanevaki, D., Dupuy, N., Currie, S. P., Amvrosiadis, T., Pakan, J. M. P., & Rochefort, N. L. (2020) · Current Biology · doi:10.1016/j.cub.2020.03.018 · Cited by 116 · see citing works
“Impact of Locomotion on Experience-Dependent Changes of Stimulus Representation in V1 Because locomotion is known to modulate the gain of visual responses in V1 [21, 24, 27, 33], we assessed whether changes in the proportion of responsive neurons correlated with running behavior.”
BackgroundSelf-citationA disinhibitory circuit motif and flexible information routing in the brain
Wang, X.-J., & Yang, G. R. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.01.002 · Cited by 113 · see citing works
“[21 ,39] reported that, as mice made a transition from rest to movement, SST cells in L2/3 of V1 showed an increase of activity, instead of a previously reported decrease [38].”
Spontaneous behaviors drive multidimensional, brain-wide activityPreprint
Stringer, C., Pachitariu, M., Steinmetz, N. A., Reddy, C. B., Carandini, M., & Harris, K. D. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/306019 · Cited by 119 · see citing works
Waschke, L., Tune, S., & Obleser, J. (2019) · eLife · doi:10.7554/elife.51501 · Cited by 105 · see citing works
“However, modulatory effects of arousal have been found to depend on the experimental context as well as on the sensory modality (Pakan et al., 2016; Shimaoka et al., 2018).”
BackgroundExperience shapes activity dynamics and stimulus coding of VIP inhibitory cells
Garrett, M., Manavi, S., Roll, K., Ollerenshaw, D. R., Groblewski, P. A., Ponvert, N. D., Kiggins, J. T., Casal, L., Mace, K. D., Williford, A., et al. (2020) · eLife · doi:10.7554/elife.50340 · Cited by 102 · see citing works
“As VIP cell activity has been associated with locomotion and arousal (Dipoppa et al., 2018; Fu et al., 2014; Pakan et al., 2016), we performed several control analyses to determine whether these factors could account for VIP cell pre-stimulus ramping activity.”
BackgroundMethodInhibitory control of correlated intrinsic variability in cortical networks
Stringer, C., Pachitariu, M., Steinmetz, N. A., Okun, M., Barthó, P., Harris, K. D., Sahani, M., & Lesica, N. A. (2016) · eLife · doi:10.7554/elife.19695 · Cited by 100 · see citing works
Precisely Timed Nicotinic Activation Drives SST Inhibition in Neocortical Circuits
Urban-Ciecko, J., Jouhanneau, J.-S., Myal, S. E., Poulet, J. F. A., & Barth, A. L. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.037 · Cited by 93 · see citing works
“Slow-wave sleep, wake, locomotion, and attention are associated with changes in neocortical activity, with characteristic effects on different classes of neurons (Alitto and Dan, 2013; Garcia-Junco-Clemente et al., 2017; Gentet et al., 2012; Pakan et al., 2016; Polack et al., 2013).”
BackgroundJordan, R., & Keller, G. B. (2023) · eLife · doi:10.7554/elife.85111 · Cited by 126 · see citing works
Dual-polarity voltage imaging of the concurrent dynamics of multiple neuron types
Kannan, M., Vasan, G., Haziza, S., Huang, C., Chrapkiewicz, R., Luo, J., Cardin, J. A., Schnitzer, M. J., & Pieribone, V. A. (2022) · Science · doi:10.1126/science.abm8797 · Cited by 92 · see citing works
“Although our results do not confirm the VIP neuroncentered PN disinhibition model (VIP ⊣ SST ⊣ PN), which was proposed based on Ca imaging data (2, 65, 66), the distinct findings might stem from key experimental differences, such as the presence or absence of visual stimuli (67).”
BackgroundMethodOptimization of interneuron function by direct coupling of cell migration and axonal targeting
Lim, L., Pakan, J. M. P., Selten, M. M., Marques-Smith, A., Llorca, A., Bae, S. E., Rochefort, N. L., & Marín, O. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0162-9 · Cited by 93 · see citing works
Self-citationBehavioral state modulates the ON visual motion pathway of <i>Drosophila</i>
Strother, J. A., Wu, S.-T., Rogers, E. M., Eliason, J. L. M., Wong, A. M., Nern, A., & Reiser, M. B. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1703090115 · Cited by 82 · see citing works
“state of the mouse in the dark with much higher fidelity than excitatory pyramidal neurons (56).”
BackgroundDedicated Hippocampal Inhibitory Networks for Locomotion and Immobility
Arriaga, M., & Han, E. B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1076-17.2017 · Cited by 95 · see citing works
“For interneuron recordings, neuropil contamination was removed by subtracting perisomatic fluorescence signal from an area 20 m from the ROI border, excluding any other ROIs (FCorrected-ROI FROI FNeuropil); Peron et al., 2015).”
MethodMalina, K. C.-K., Tsivourakis, E., Kushinsky, D., Apelblat, D., Shtiglitz, S., Zohar, E., Sokoletsky, M., Tasaka, G., Mizrahi, A., Lampl, I., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.05.001 · Cited by 99 · see citing works
“, 2012) and that their activity depends on an animal’s behavioral state (Dipoppa et al., 2018; Pakan et al., 2016).”
BackgroundNeocortex saves energy by reducing coding precision during food scarcity
Padamsey, Z., Katsanevaki, D., Dupuy, N., & Rochefort, N. L. (2021) · Neuron · doi:10.1016/j.neuron.2021.10.024 · Cited by 89 · see citing works
Self-citationFISSA: A neuropil decontamination toolbox for calcium imaging signals
Keemink, S., Lowe, S., Pakan, J. M. P., Dylda, E., van Rossum, M. C. W., & Rochefort, N. L. (2018) · Scientific Reports · doi:10.1038/s41598-018-21640-2 · Cited by 88 · see citing works
Self-citationStructure and function of axo-axonic inhibition
Schneider-Mizell, C. M., Bodor, A. L., Collman, F., Brittain, D., Bleckert, A. A., Dorkenwald, S., Turner, N. L., Macrina, T., Lee, K., Lu, R., et al. (2021) · eLife · doi:10.7554/elife.73783 · Cited by 111 · see citing works
Pakan, J. M. P., Currie, S. P., Fischer, L. F., & Rochefort, N. L. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.08.010 · Cited by 85 · see citing works
“The encoding of behaviorally important spatial locations could either occur in the aforementioned cortical and subcortical areas and be transmitted to V1, or encoding could occur in V1 itself since previous studies have shown neuronal responses to running speed (Erisken et al., 2014; Keller et al., 2012; Pakan et al.,…”
BackgroundMethodSelf-citationCortical disinhibitory circuits: cell types, connectivity and function
Kullander, K., & Topolnik, L. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.04.009 · Cited by 83 · see citing works
Contextual signals in visual cortex
Khan, A. G., & Hofer, S. B. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.05.003 · Cited by 81 · see citing works
Sensation during Active Behaviors
Busse, L., Cardin, J. A., Chiappe, M. E., Halassa, M. M., McGinley, M. J., Yamashita, T., & Saleem, A. B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1828-17.2017 · Cited by 80 · see citing works
Contribution of behavioural variability to representational drift
Sadeh, S., & Clopath, C. (2022) · eLife · doi:10.7554/elife.77907 · Cited by 76 · see citing works
From Hiring to Firing: Activation of Inhibitory Neurons and Their Recruitment in Behavior
Swanson, O. K., & Maffei, A. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00168 · Cited by 78 · see citing works
“Subsequent studies have shown that GABAergic neuron modulation depends on the context and magnitude of the visual stimulus and that this disinhibitory circuit model may not be the only way that locomotion can engage interneurons in V1 (Pakan et al., 2016; Dipoppa et al., 2018).”
BackgroundO'Toole, S. M., Oyibo, H. K., & Keller, G. B. (2023) · Neuron · doi:10.1016/j.neuron.2023.08.015 · Cited by 78 · see citing works
Action and learning shape the activity of neuronal circuits in the visual cortex
Pakan, J. M. P., Francioni, V., & Rochefort, N. L. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.04.020 · Cited by 75 · see citing works
Self-citationNMDA receptors in visual cortex are necessary for normal visuomotor integration and skill learning
Widmer, F. C., O'Toole, S. M., & Keller, G. B. (2022) · eLife · doi:10.7554/elife.71476 · Cited by 72 · see citing works
“This is in line with the findings that the activity of SST interneurons is 422 modulated by locomotion only in the presence of visual input (Pakan et al., 2016), and that in 423 excitatory neurons, inputs from both excitatory neurons and SST interneurons, but not PV or VIP 424 expressing…”
ResultActivity in primate visual cortex is minimally driven by spontaneous movements
Talluri, B. C., Kang, I., Lazere, A., Quinn, K. R., Kaliss, N., Yates, J. L., Butts, D. A., & Nienborg, H. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01459-5 · Cited by 72 · see citing works
“In mice, locomotion affects neural activity in primary visual cortex (V1) 8–19 and spontaneous movements are associated with pronounced brain-wide activity including in V1 (refs.”
BackgroundHertäg, L., & Sprekeler, H. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006999 · Cited by 68 · see citing works
del Molino, L. C. G., Yang, G. R., Mejías, J. F., & Wang, X. (2017) · eLife · doi:10.7554/elife.29742 · Cited by 70 · see citing works
“This variability can result in cells within the same population having responses with opposite sign, as has been observed to be the case in mouse V1 ( Reimer et al., 2014 ; Pakan et al., 2016 ) and A1 ( Kuchibhotla et al., 2017 ).”
InfluentialFrancioni, V., Padamsey, Z., & Rochefort, N. L. (2019) · eLife · doi:10.7554/elife.49145 · Cited by 68 · see citing works
Self-citationGuet-McCreight, A., Skinner, F. K., & Topolnik, L. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00032 · Cited by 64 · see citing works
Artinian, J., & Lacaille, J. (2017) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.11.012 · Cited by 61 · see citing works
GluN3A excitatory glycine receptors control adult cortical and amygdalar circuits
Bossi, S., Dhanasobhon, D., Ellis‐Davies, G. C. R., Frontera, J. L., van Velze, M. D. B., Lourenço, J., Murillo, A., Luján, R., Casado, M., Pérez‐Otaño, I., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.05.016 · Cited by 63 · see citing works
Three brain states in the hippocampus and cortex
Kay, K., & Frank, L. M. (2018) · Hippocampus · doi:10.1002/hipo.22956 · Cited by 63 · see citing works
Audio-visual experience strengthens multisensory assemblies in adult mouse visual cortex
Knöpfel, T., Sweeney, Y., Radulescu, C. I., Zabouri, N., Doostdar, N., Claudia Clopath, A., & Barnes, S. J. (2019) · Nature Communications · doi:10.1038/s41467-019-13607-2 · Cited by 62 · see citing works
Disynaptic cerebrocerebellar pathways originating from multiple functionally distinct cortical areas
Henschke, J. U., & Pakan, J. M. P. (2020) · eLife · doi:10.7554/elife.59148 · Cited by 61 · see citing works
Self-citationNeske, G. T., Nestvogel, D., Steffan, P. J., & McCormick, D. A. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1226-18.2019 · Cited by 57 · see citing works
Rupert, D. D., & Shea, S. D. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2022.886629 · Cited by 58 · see citing works
Beerendonk, L., Mejías, J. F., Nuiten, S. A., de Gee, J. W., Fahrenfort, J. J., & van Gaal, S. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2312898121 · Cited by 60 · see citing works
Hertäg, L., & Clopath, C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115699119 · Cited by 55 · see citing works
“Moreover, the activity of both excitatory and inhibitory neurons is modulated by behavioral states, and highly context-dependent (45).”
BackgroundAntonini, A., Sattin, A., Moroni, M., Bovetti, S., Moretti, C., Succol, F., Forli, A., Vecchia, D., Rajamanickam, V. P., Bertoncini, A., et al. (2020) · eLife · doi:10.7554/elife.58882 · Cited by 54 · see citing works
Mechanisms for Cognitive Impairment in Epilepsy: Moving Beyond Seizures
Khalife, M. R., Scott, R. C., & Hernan, A. E. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.878991 · Cited by 56 · see citing works
Effects of Locomotion on Visual Responses in the Mouse Superior Colliculus
Savier, E. L., Chen, H., & Cang, J. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1854-19.2019 · Cited by 54 · see citing works
“…and examined the underlying cortical and subcortical circuits (Ayaz et al., 2013; Bennett et al., 2013; Polack et al., 2013; Saleem et al., 2013; Fu et al., 2014; Lee et al., 2014; Vinck et al., 2015; Mineault et al., 2016; Pakan et al., 2016; Dadarlat and Stryker, 2017; Dipoppa et al., 2018).”
BackgroundMethodZhou, X., Rickmann, M., Hafner, G., & Staiger, J. F. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx220 · Cited by 51 · see citing works
“However, the disinhibitory motif failed to explain all neuronal computations when studied under refined behavioral conditions (Pakan et al. 2016).”
BackgroundOlcese, U., Lohuis, M. N. O., & Pennartz, C. M. A. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00049 · Cited by 49 · see citing works
Cell-specific gain modulation by synaptically released zinc in cortical circuits of audition
Anderson, C. T., Kumar, M., Xiong, S., & Tzounopoulos, T. (2017) · eLife · doi:10.7554/elife.29893 · Cited by 51 · see citing works
“…responses from populations of principal excitatory neurons, by utilizing an AAV driven by the calcium/calmodulin-dependent protein kinase 2 (CaMKII) promoter to express GCaMP6f in principal neurons (Figure 2a–c and Figure 2— figure supplement 1a; AAV-CaMKII-GCaMP6f, [Pakan et al., 2016]).”
Reflections of action in sensory cortex
Schneider, D. M. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.02.004 · Cited by 51 · see citing works
Francioni, V., & Harnett, M. T. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.05.038 · Cited by 49 · see citing works
Hayden, D. J., Montgomery, D. P., Cooke, S. F., & Bear, M. F. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0391-21.2021 · Cited by 43 · see citing works
Cortex-wide response mode of VIP-expressing inhibitory neurons by reward and punishment
Szadai, Z., Pi, H.-J., Chevy, Q., Ócsai, K., Albeanu, D. F., Chiovini, B., Szalay, G., Katona, G., Kepecs, Á., & Rózsa, B. J. (2022) · eLife · doi:10.7554/elife.78815 · Cited by 45 · see citing works
Spatial navigation signals in rodent visual cortex
Floßmann, T., & Rochefort, N. L. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.11.004 · Cited by 48 · see citing works
Self-citationHenschke, J. U., & Pakan, J. M. P. (2023) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2023.1165307 · Cited by 52 · see citing works
Self-citationCortical microcircuits as gated-recurrent neural networksPreprint
Costa, R. P., Assael, Y., Shillingford, B., de Freitas, N., & Vogels, T. P. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.02448 · Cited by 45 · see citing works
“…serve as a platform to discuss and develop ideas of cortical function and to establish links to relevant experimental work on the role of excitatory and inhibitory neurons in contextual learning (Froemke et al., 2007; Froemke, 2015; Poort et al., 2015; Pakan et al., 2016; Kuchibhotla et al., 2017).”
BackgroundThalamus Controls Development and Expression of Arousal States in Visual Cortex
Murata, Y., & Colonnese, M. T. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1519-18.2018 · Cited by 44 · see citing works
“Our results are not consist with a simple model of cortical disinhibition causing movement-associated firing (Fu et al., 2014), but rather a more complex, and stimulusdependent (Pakan et al., 2016; Dipoppa et al., 2018) rebalancing of recurrent and thalamic inputs within the cortical network.”
ResultDadarlat, M. C., Sun, Y. J., & Stryker, M. P. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.022 · Cited by 42 · see citing works
Vasilevskaya, A., Widmer, F. C., Keller, G. B., & Jordan, R. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112096 · Cited by 42 · see citing works
VIP interneurons regulate cortical size tuning and visual perception
Ferguson, K., Salameh, J., Alba, C., Selwyn, H., Barnes, C., Lohani, S., & Cardin, J. A. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113088 · Cited by 42 · see citing works
“7”
Serotonergic modulation across sensory modalities
Sizemore, T. R., Hurley, L. M., & Dacks, A. M. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00034.2020 · Cited by 40 · see citing works
McBride, E. G., Lee, S.-Y. J., & Callaway, E. M. (2019) · Current Biology · doi:10.1016/j.cub.2019.03.065 · Cited by 38 · see citing works
“Perhaps locomotion is simply a more reliable driver of synchronization; locomotion causes increased firing rates in all interneuron subtypes [40, 41], which are thought to be major drivers of oscillatory activity in cortex [42].”
BackgroundProenneke, A., Witte, M., Möck, M., & Staiger, J. F. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz102 · Cited by 45 · see citing works
Hearing in Complex Environments: Auditory Gain Control, Attention, and Hearing Loss
Auerbach, B. D., & Gritton, H. J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.799787 · Cited by 40 · see citing works
Corticofugal regulation of predictive coding
Lesicko, A. M. H., Angeloni, C. F., Blackwell, J. M., Biasi, M. D., & Geffen, M. N. (2022) · eLife · doi:10.7554/elife.73289 · Cited by 40 · see citing works
Pennartz, C. M. A., Oude Lohuis, M. N., & Olcese, U. (2023) · Philosophical Transactions of the Royal Society B · doi:10.1098/rstb.2022.0336 · Cited by 38 · see citing works
Ramos-Prats, A., Paradiso, E., Castaldi, F., Sadeghi, M., Mir, M. Y., Hörtnagl, H., Göbel, G., & Ferraguti, F. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110893 · Cited by 37 · see citing works
Population activity structure of excitatory and inhibitory neurons
Bittner, S. R., Williamson, R. C., Snyder, A. C., Litwin-Kumar, A., Doiron, B., Chase, S. M., Smith, M. A., & Yu, B. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181773 · Cited by 37 · see citing works
Functional flexibility in cortical circuits
Cardin, J. A. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.09.008 · Cited by 37 · see citing works
Antipsychotic drugs selectively decorrelate long-range interactions in deep cortical layers
Heindorf, M., & Keller, G. B. (2023) · eLife · doi:10.1101/2022.01.31.478462 · Cited by 63 · see citing works
Response nonlinearities in networks of spiking neurons
Sanzeni, A., Histed, M. H., & Brunel, N. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008165 · Cited by 31 · see citing works
Shaping the Cortical Landscape: Functions and Mechanisms of Top-Down Cortical Feedback Pathways
Zagha, E. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00033 · Cited by 39 · see citing works
Kumar, M., Xiong, S., Tzounopoulos, T., & Anderson, C. T. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1339-18.2018 · Cited by 33 · see citing works
“The pipette contained ACSF including 100 M ZX1 (Pan et al., 2011; Anderson et al., 2015; an extracellular, high-affinity, fast, zinc-specific chelator) and 50 M Alexa Fluor 594.”
BackgroundLack of Evidence for Stereotypical Direction Columns in the Mouse Superior Colliculus
Chen, H., Savier, E. L., DePiero, V. J., & Cang, J. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1155-20.2020 · Cited by 33 · see citing works
Emerging Mechanisms Underlying Dynamics of GABAergic Synapses
Maffei, A., Charrier, C., Caiati, M. D., Barberis, A., Mahadevan, V., Woodin, M. A., & Tyagarajan, S. K. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1824-17.2017 · Cited by 33 · see citing works
“These patterns of activation also change with context (Pakan et al., 2016), highlighting the flexibility of inhibitory neuron recruitment.”
BackgroundMyers-Joseph, D., Wilmes, K. A., Fernández-Otero, M., Claudia Clopath, A., & Khan, A. G. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.006 · Cited by 31 · see citing works
Horrocks, E. A. B., Rodrigues, F. R., & Saleem, A. B. (2024) · Nature Communications · doi:10.1038/s41467-024-50563-y · Cited by 30 · see citing works
Sensory- and Motor-Related Responses of Layer 1 Neurons in the Mouse Visual Cortex
Mesik, L., Huang, J. J., Zhang, L. I., & Tao, H. W. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1722-19.2019 · Cited by 31 · see citing works
“Locomotion as the primary driver of L1 activity Locomotion has been repeatedly shown to modulate visual responses in V1 and to directly activate multiple types of inhibitory neurons (Niell and Stryker, 2010; Polack et al., 2013; Fu et al., 2014; Mineault et al., 2016; Pakan et al., 2016).”
BackgroundContext value updating and multidimensional neuronal encoding in the retrosplenial cortex
Sun, W., Choi, I., Stoyanov, S., Senkov, O., Ponimaskin, E. G., Winter, Y., Pakan, J. M. P., & Dityatev, A. E. (2021) · Nature Communications · doi:10.1038/s41467-021-26301-z · Cited by 31 · see citing works
Self-citation
- 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
