Cited by 506Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionMemory and Neural Mechanisms

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Dense, Unspecific Connectivity of Neocortical Parvalbumin-Positive Interneurons: A Canonical Microcircuit for Inhibition?

Open access

Packer, Adam M., Yuste, Rafael·2011·The Journal of Neuroscience

DOI 10.1523/jneurosci.3131-11.2011PMC PMC3178964

Open this paper in CoChat — free account

Abstract

GABAergic interneurons play a major role in the function of the mammalian neocortex, but their circuit connectivity is still poorly understood. We used two-photon RuBi-Glutamate uncaging to optically map how the largest population of cortical interneurons, the parvalbumin-positive cells (PV+), are connected to pyramidal cells (PCs) in mouse neocortex. We found locally dense connectivity from PV+ interneurons onto PCs across cortical areas and layers. In many experiments, all nearby PV+ cells were connected to every local PC sampled. In agreement with this, we found no evidence for connection specificity, as PV+ interneurons contacted PC pairs similarly regardless of whether they were synaptically connected or not. We conclude that the microcircuit architecture for PV+ interneurons, and probably neocortical inhibition in general, is an unspecific, densely homogenous matrix covering all nearby pyramidal cells.

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

Crossref · 10.1523/jneurosci.3131-11.2011

Cites

45 of 45 references verified0 citation errors · 0 not checkable

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

CircStat : A MATLAB Toolbox for Circular Statistics
Berens, P. (2009) · Journal of Statistical Software · doi:10.18637/jss.v031.i10 · Cited by 3,099
NEURONAL CIRCUITS OF THE NEOCORTEX
Douglas, R. J., & Martin, K. A. C. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144152 · Cited by 1,886
Serial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure
Denk, W., & Horstmann, H. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020329 · Cited by 1,644
Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex
The Petilla Interneuron Nomenclature Group (PING) (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2402 · Cited by 1,491
Interneuron Migration from Basal Forebrain to Neocortex: Dependence on Dlx Genes
Anderson, S. A., Eisenstat, D. D., Shi, L., & Rubenstein, J. L. R. (1997) · Science · doi:10.1126/science.278.5337.474 · Cited by 1,462
Monosynaptic Restriction of Transsynaptic Tracing from Single, Genetically Targeted Neurons
Wickersham, I. R., Lyon, D. C., Barnard, R. J. O., Mori, T., Finke, S., Conzelmann, K., Young, J. A. T., & Callaway, E. M. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.033 · Cited by 1,176
Differential signaling via the same axon of neocortical pyramidal neurons
Markram, H., Wang, Y., & Tsodyks, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.9.5323 · Cited by 1,102
Highly selective receptive fields in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0623-08.2008 · Cited by 1,081
Network anatomy and in vivo physiology of visual cortical neurons
Bock, D. D., Lee, W.-C. A., Kerlin, A., Andermann, M. L., Hood, G., Wetzel, A. W., Yurgenson, S., Soucy, E. R., Kim, H. S., & Reid, R. C. (2011) · Nature · doi:10.1038/nature09802 · Cited by 867
Diverse sources of hippocampal unitary inhibitory postsynaptic potentials and the number of synaptic release sites
Buhl, E. H., Halasy, K., & Somogyi, P. (1994) · Nature · doi:10.1038/368823a0 · Cited by 728

Show all 45 references

Research works printed but not linked: 1

Mountcastle VB (1982) in Mindful brain, An organization principle for cerebral function: the unit module and the distributed system, ed Schmitt FO (MIT, Cambridge, MA), pp 1–50.

Sorted by citations

Items 301–400 of 506

Absence of Repetitive Correlation Patterns Between Pairs of Adjacent Neocortical Neurons in vivo
Mogensen, H., Norrlid, J., Enander, J. M. D., Wahlbom, A., & Jörntell, H. (2019) · Frontiers in Neural Circuits · doi:10.3389/fncir.2019.00048 · Cited by 13
Dynamic Recovery from Depression Enables Rate Encoding in Inhibitory Synapses
Bridi, M. S., Shin, S., Huang, S., & Kirkwood, A. (2020) · iScience · doi:10.1016/j.isci.2020.100940 · Cited by 11
Comprehensive Analysis of Long-Range Connectivity from and to the Posterior Parietal Cortex of the Mouse
Oh, S. W., Son, S. J., Morris, J. A., Choi, J. H., Lee, C., & Rah, J. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa230 · Cited by 11
WITHDRAWN: Multiplane Mesoscope reveals distinct cortical interactions following expectation violationsPreprint
Orlova, N., Najafi, F., Tsyboulski, D. A., Seid, S., Kivikas, S., Kato, I., Griffin, F., Leon, A., Hytnen, R., L’Heureux, Q., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.06.328294 · Cited by 11
Frequency-dependent gating of feedforward inhibition in thalamofrontal synapses
Lee, J., Choi, J. H., & Rah, J. (2020) · Molecular Brain · doi:10.1186/s13041-020-00608-2 · Cited by 10
Connection-type-specific biases make uniform random network models consistent with cortical recordings
Tomm, C., Avermann, M., Petersen, C. C. H., Wulfram Gerstner, B., & Vogels, T. P. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00629.2013 · Cited by 10
Processing of Feature Selectivity in Cortical Networks with Specific Connectivity
Sadeh, S., Claudia Clopath, A., & Rotter, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127547 · Cited by 10
Columnar grouping preserves synchronization in neuronal networks with distance-dependent time delays
Tumulty, J. S., Royster, M., & Cruz, L. (2020) · Physical review. E · doi:10.1103/physreve.101.022408 · Cited by 10
Layer-specific stimulations of parvalbumin-positive cortical interneurons in mice entrain brain rhythms to different frequencies
David, F., Borel, M., Ayub, S., Ruther, P., & Gentet, L. J. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad114 · Cited by 11
LSPS/Optogenetics to Improve Synaptic Connectivity Mapping: Unmasking the Role of Basket Cell-Mediated Feedforward Inhibition
Brill, J., Mattis, J., Deisseroth, K. A., & Huguenard, J. R. (2016) · eNeuro · doi:10.1523/eneuro.0142-15.2016 · Cited by 10
Uncovering hidden network architecture from spiking activities using an exact statistical input-output relation of neurons
Shomali, S. R., Rasuli, S. N., Ahmadabadi, M. N., & Shimazaki, H. (2023) · Communications Biology · doi:10.1038/s42003-023-04511-z · Cited by 8
Discrete hippocampal projections are differentially regulated by parvalbumin and somatostatin interneurons
Lodge, D. J., Reiley, H. B., Boley, A. M., & Donegan, J. J. (2023) · Nature Communications · doi:10.1038/s41467-023-42484-z · Cited by 11
Parvalbumin interneuron deficiency in the prefrontal and motor cortices of spontaneously hypertensive rats: an attention-deficit hyperactivity disorder animal model insight
Bogdańska-Chomczyk, E., Równiak, M., Huang, A. C. W., & Kozłowska, A. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1359237 · Cited by 10
Inhibitory gamma-aminobutyric acidergic neurons in the anterior cingulate cortex participate in the comorbidity of pain and emotion
Guan, L., Qiu, M., Li, N., Zhou, Z., Ye, R., Zhong, L., Xu, Y., Ren, J., Liang, Y., Shao, X., et al. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00429 · Cited by 9
Unexpected events trigger task-independent signaling in VIP and excitatory neurons of mouse visual cortex
Najafi, F., Russo, S., & Lecoq, J. A. (2025) · iScience · doi:10.1016/j.isci.2024.111728 · Cited by 11
Synaptic Microcircuits in the Barrel Cortex
Radnikow, G., Qi, G., & Feldmeyer, D. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2975-7_4 · Cited by 9
A disinhibitory microcircuit of the orbitofrontal cortex mediates cocaine preference in mice
Huang, Z., Wei, X., Tian, J., Fu, Y., Dong, J., Wang, Y., Shi, J., Lü, L., & Zhang, W. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02579-5 · Cited by 10
Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information
Rostami, V., Rost, T., Schmitt, F. J., van Albada, S. J., Riehle, A., & Nawrot, M. P. (2024) · Nature Communications · doi:10.1038/s41467-024-49889-4 · Cited by 11
Endocannabinoid Signaling Contributes to Experience-Induced Increase of Synaptic Release Sites From Parvalbumin Interneurons in Mouse Visual Cortex
Huang, S., & Kirkwood, A. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.571133 · Cited by 11
Analysis of segmentation ontology reveals the similarities and differences in connectivity onto L2/3 neurons in mouse V1
Brown, A. P. Y., Cossell, L., Strom, M., Tyson, A. L., Vélez‐Fort, M., & Margrie, T. W. (2021) · Scientific Reports · doi:10.1038/s41598-021-82353-7 · Cited by 9
Visualizing Oscillations in Brain Slices With Genetically Encoded Voltage Indicators
Rhee, J. K., Iwamoto, Y., & Baker, B. J. (2021) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.741711 · Cited by 9
Slot-like capacity and resource-like coding in a neural model of multiple-item working memory
Standage, D., & Paré, M. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00778.2017 · Cited by 10
Specific excitatory connectivity for feature integration in mouse primary visual cortex
Muir, D. R., Molina-Luna, P., Roth, M., Helmchen, F., & Kampa, B. M. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005888 · Cited by 7
Top-Down Control of Inhibitory Granule Cells in the Main Olfactory Bulb Reshapes Neural Dynamics Giving Rise to a Diversity of Computations
Chen, Z., & Padmanabhan, K. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00059 · Cited by 10
Neuroglia and extracellular matrix molecules
Dzyubenko, E., & Hermann, D. M. (2025) · Handbook of clinical neurology · doi:10.1016/b978-0-443-19104-6.00010-3 · Cited by 8
Early adversity and the comorbidity between metabolic disease and psychopathology
Gómez‐Ilescas, A., & Silveira, P. P. (2025) · The Journal of Physiology · doi:10.1113/jp285927 · Cited by 9
Perirhinal to prefrontal circuit in methamphetamine induced recognition memory deficits
Hopkins, J. L., Goldsmith, S. T., Wood, S. K., Nelson, K. H., Carter, J. S., Freels, D. L., Lewandowski, S. I., Siemsen, B. M., Denton, A. R., Scofield, M. D., et al. (2023) · Neuropharmacology · doi:10.1016/j.neuropharm.2023.109711 · Cited by 8
Optogenetic Activation of Interneuron Subtypes Modulates Visual Contrast Responses of Mouse V1 Neurons
Shapiro, J. T., Michaud, N. M., King, J. L., & Crowder, N. A. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab269 · Cited by 8
Mechanisms Underlying Target Selectivity for Cell Types and Subcellular Domains in Developing Neocortical Circuits
Gutman-Wei, A. Y., & Brown, S. P. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.728832 · Cited by 9
Anti-correlations in the degree distribution increase stimulus detection performance in noisy spiking neural networks
Martens, M. B., Houweling, A. R., & Tiesinga, P. H. E. (2016) · Journal of Computational Neuroscience · doi:10.1007/s10827-016-0629-1 · Cited by 8
Local inhibitory circuits mediate cortical reactivations and memory consolidation
Lensjø, K. K., Nymoen, I., Rogge, F. S., Tøndel, K., Sugden, A. U., Shurnayte, I., Grødem, S., Malthe‐Sørenssen, A., Hafting, T., Andermann, M. L., et al. (2025) · Science Advances · doi:10.1126/sciadv.adu9800 · Cited by 10
Elevations in the Mitochondrial Matrix Protein Cyclophilin D Correlate With Reduced Parvalbumin Expression in the Prefrontal Cortex of Patients With Schizophrenia
O'Brien, J. T., Jalilvand, S. P., Suji, N. A., Jupelly, R. K., Phensy, A. J., Mwirigi, J. M., Elahi, H., Price, T. J., & Kroener, S. (2024) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae016 · Cited by 7
Highly local activation of inhibition at the seizure wavefront in vivo
Shah, P. T., Valiante, T. A., & Packer, A. M. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114189 · Cited by 7
Self-citation
Distribution of Orientation Selectivity in Recurrent Networks of Spiking Neurons with Different Random Topologies
Sadeh, S., & Rotter, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114237 · Cited by 7
Interneuron Cooperativity in Cortical Circuits
Karnani, M., & Jackson, J. (2017) · The Neuroscientist · doi:10.1177/1073858417733719 · Cited by 6
Model neocortical microcircuit supports beta and gamma rhythms
Feng, F., Headley, D. B., & Nair, S. S. (2021) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner49283.2021.9441199 · Cited by 7
Unitary synaptic responses of parvalbumin interneurons evoked by excitatory neurons in the mouse barrel cortex
Canales, A., Scheuer, K. S., Zhao, X., & Jackson, M. B. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac403 · Cited by 7
NCAM Regulates Inhibition and Excitability in Layer 2/3 Pyramidal Cells of Anterior Cingulate Cortex
Zhang, X., Sullivan, C. S., Kratz, M. B., Kasten, M. R., Maness, P. F., & Manis, P. B. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00019 · Cited by 7
Inhibitory control of correlated intrinsic variability in cortical networksPreprint
Stringer, C., Pachitariu, M., Okun, M., Barthó, P., Harris, K., Latham, P. E., Sahani, M., & Lesica, N. A. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/041103 · Cited by 7
Transient and layer-specific reduction in neocortical PV inhibition during sensory association learningPreprint
Kuljis, D. A., Park, E., Myal, S. E., Clopath, C., & Barth, A. L. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.24.059865 · Cited by 7
Multi-scale neural homeostasis mechanisms: Insights into neurodegenerative diseases and therapeutic approaches, including exercise
Wang, Y., Chen, X., Zhang, C., & Gao, S. (2025) · Advanced Exercise and Health Science · doi:10.1016/j.aehs.2025.02.002 · Cited by 8
Parvalbumin interneurons drive depth-dependent vascular responses
Rakymzhan, A., Fukuda, M., Anaya, F. J., Fish, K. N., Kozai, T. D. Y., & Vazquez, A. L. (2025) · iScience · doi:10.1016/j.isci.2025.113965 · Cited by 6
Activating parvalbumin-expressing interneurons produces iceberg effects in mouse primary visual cortex neurons
Shapiro, J. T., Gosselin, E. A. R., Michaud, N. M., & Crowder, N. A. (2022) · Neuroscience Letters · doi:10.1016/j.neulet.2022.136804 · Cited by 6
Loss of Midbrain Dopamine Neurons Does Not Alter GABAergic Inhibition Mediated by Parvalbumin-Expressing Interneurons in Mouse Primary Motor Cortex
Cherian, S., Simms, G., Chen, L., & Chu, H. (2024) · eNeuro · doi:10.1523/eneuro.0010-24.2024 · Cited by 6
The Role of Dynamic Columns in Explaining Gamma-band Synchronization and NMDA Receptors in Cognitive Functions
Moss, R. A., & Moss, J. (2014) · AIMS neuroscience · doi:10.3934/neuroscience.2014.1.65 · Cited by 6
Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic InputsIn Vitro
Linaro, D., Ocker, G. K., Doiron, B., & Giugliano, M. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.3169-18.2019 · Cited by 8
Developmental Regulation of Basket Interneuron Synapses and Behavior through NCAM in Mouse Prefrontal Cortex
Sullivan, C. S., Mohan, V., Manis, P. B., Moy, S. S., Truong, Y. K.-N., Duncan, B. W., & Maness, P. F. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa074 · Cited by 6
Emergence of probabilistic representation in the neural network of primary visual cortex
Li, A. A., Wang, F., Wu, S., & Zhang, X. (2022) · iScience · doi:10.1016/j.isci.2022.103975 · Cited by 7
Decoding thalamic afferent input using microcircuit spiking activity
Sederberg, A., Palmer, S. E., & MacLean, J. N. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00885.2014 · Cited by 6
Paired Recordings from Synaptically Coupled Neurones in Acute Neocortical Slices
Feldmeyer, D., & Radnikow, G. (2016) · Neuromethods · doi:10.1007/978-1-4939-3411-9_9 · Cited by 5
Sevoflurane Ameliorates Schizophrenia in a Mouse Model and Patients: A Pre-Clinical and Clinical Feasibility Study
Lin, C., Ma, D., Song, X., Zhao, T., Shi, Z., Ling, N., Qin, J., Zhou, Q., Wu, L., & Wang, Y. (2022) · Current Neuropharmacology · doi:10.2174/1570159x20666220310115846 · Cited by 6
Quantitative analysis of the GABAergic innervation of the soma and axon initial segment of pyramidal cells in the human and mouse neocortex
Ostos, S., Aparicio, G., Fernaud-Espinosa, I., DeFelipe, J., & Muñoz, A. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac314 · Cited by 7
The dynamics of memory retrieval in hierarchical networks
Gu, Y., & Gong, P. (2016) · Journal of Computational Neuroscience · doi:10.1007/s10827-016-0595-7 · Cited by 6
Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing
Brosch, T., Tschechne, S., & Heiko Neumann, B. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-50862-7_7 · Cited by 6
Cortical excitation:inhibition imbalance causes abnormal brain network dynamics as observed in neurodevelopmental disordersPreprint
Markicevic, M., Fulcher, B. D., Lewis, C., Helmchen, F., Rudin, M., Zerbi, V., & Wenderoth, N. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/492108 · Cited by 7
Cortical Neural Computation by Discrete Results Hypothesis
Castejon, C., & Núñez, Á. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00081 · Cited by 6
Neuromodulation influences synchronization and intrinsic read-out
Scheler, G. (2018) · F1000Research · doi:10.12688/f1000research.15804.1 · Cited by 5
FriendlyClearMap: an optimized toolkit for mouse brain mapping and analysis
Negwer, M., Bosch, B., Bormann, M., Hesen, R., Lütje, L., Aarts, L., Rossing, C., Kasri, N. N., & Schubert, D. (2022) · GigaScience · doi:10.1093/gigascience/giad035 · Cited by 5
Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational Models
Maksimov, A., Diesmann, M., & van Albada, S. J. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2018.00044 · Cited by 4
Altered GABAA Receptor Expression in the Primary Somatosensory Cortex of a Mouse Model of Genetic Absence Epilepsy
Hassan, M. J., Adotevi, N. K., & Leitch, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232415685 · Cited by 5
A layered microcircuit model of somatosensory cortex with three interneuron types and cell-type-specific short-term plasticity
Jiang, H.-J., Qi, G., Duarte, R., Feldmeyer, D., & van Albada, S. J. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae378 · Cited by 12
Information transfer and recovery for the sense of touch
Huang, C., Englitz, B., Reznik, A., Zeldenrust, F., & Celikel, T. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf073 · Cited by 5
Cholinergic Behavior State-Dependent Mechanisms of Neocortical Gain Control: a Neurocomputational Study
Puigbò, J.-Y., Maffei, G., Herreros, I., Ceresa, M., Ballester, M. Á. G., & Verschure, P. F. M. J. (2017) · Molecular Neurobiology · doi:10.1007/s12035-017-0737-6 · Cited by 5
Complementary networks of cortical somatostatin interneurons enforce layer specific controlPreprint
Naka, A., Veit, J., Shababo, B., Chance, R. K., Risso, D., Stafford, D. A., Snyder, B. J., Egladyous, A., Chu, D., Sridharan, S., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/456574 · Cited by 6
Tuned inhibitory firing rate and connection weights as emergent network propertiesPreprint
Lagzi, F., & Fairhall, A. L. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.12.488114 · Cited by 5
High-throughput in vivo synaptic connectivity mapping of neuronal micro-circuits using two-photon holographic optogenetics and compressive sensingPreprint
Chen, I.-W., Chan, C. Y., Navarro, P., de Sars, V., Ronzitti, E., Oweiss, K. G., Tanese, D., & Emiliani, V. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.11.557026 · Cited by 5
Spatially heterogeneous inhibition projects sequential activity onto unique neural subspacesPreprint
Lehr, A. B., Kumar, A., & Tetzlaff, C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.15.557865 · Cited by 5
Spatially targeted inhibitory rhythms differentially affect neuronal integrationPreprint
Headley, D. B., Latimer, B., Aberbach, A., & Nair, S. S. (2024) · eLife · doi:10.7554/elife.95562.1 · Cited by 5
The Mouse Visual System and Visual Perception
Busse, L. (2018) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-812012-5.00004-5 · Cited by 5
Optimizing interneuron circuits for compartment-specific feedback inhibitionPreprint
Keijser, J., & Sprekeler, H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.17.386920 · Cited by 7
GABAergic synaptic scaling is triggered by changes in spiking activity rather than AMPA receptor activation
Gonzalez-Islas, C. E., Sabra, Z., Fong, M., Yilmam, P., Yong, N. A., Engisch, K. L., & Wenner, P. (2023) · eLife · doi:10.7554/elife.87753 · Cited by 4
The mechanics of correlated variability in segregated cortical excitatory subnetworks
Negrón, A., Getz, M. P., Handy, G., & Doiron, B. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2306800121 · Cited by 4
Causally Investigating Cortical Dynamics and Signal Processing by Targeting Natural System Attractors With Precisely Timed (Electrical) Stimulation
Lisitsyn, D., & Ernst, U. A. (2019) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00007 · Cited by 4
A Novel Approach to Study Coherent γ-Band Oscillations in Hippocampal Brain Sections
Díaz, J. C. R., Jenkins, P. M., Pritchett, D. L., & Jones, K. S. (2023) · eNeuro · doi:10.1523/eneuro.0167-23.2023 · Cited by 4
Organization and Plasticity of Cortical Inhibition
Kripkee, B., & Froemke, R. C. (2017) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190635374.013.14 · Cited by 4
Classification and function of GABAergic interneurons of the mammalian cerebral cortex
Zaitsev, A. V. (2013) · Biochemistry (Moscow) Supplement Series A Membrane and Cell Biology · doi:10.1134/s1990747813040090 · Cited by 4
METABOLIC CONTROL OF HIGH-FREQUENCY GAMMA OSCILLATIONS IN THE BRAIN
Анатольевич, П. И., & Karkischenko, N. N. (2019) · Journal Biomed · doi:10.33647/2074-5982-15-2-43-53 · Cited by 4
A Layered Microcircuit Model of Somatosensory Cortex with Three Interneuron Types and Cell-Type-Specific Short-Term PlasticityPreprint
Jiang, H.-J., Qi, G., Duarte, R., Feldmeyer, D., & van Albada, S. J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.26.563698 · Cited by 4
Unexpected Events Modulate Context Signaling in VIP and Excitatory Cells of the Visual CortexPreprint
Najafi, F., Russo, S., & Lecoq, J. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.15.594366 · Cited by 4
Physiological and molecular impairment of PV circuit homeostasis in mouse models of autismPreprint
Monday, H. R., Nieto, A. M., Yohannes, S., Luxu, S., Wong, K. G., Bolio, F. E., & Feldman, D. E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.08.632056 · Cited by 4
Inhibitory circuit motifs of cortical somatosensory layer 5 SST interneurons are uniform within layers but specific across layers
Preuss, F., Walker, F., Möck, M., Witte, M., & Staiger, J. F. (2025) · The Journal of Physiology · doi:10.1113/jp288309 · Cited by 5
Correlated Somatosensory Input in Parvalbumin/Pyramidal Cells in Mouse Motor Cortex
Goz, R. U., & Hooks, B. M. (2022) · eNeuro · doi:10.1523/eneuro.0488-22.2023 · Cited by 4
Inter and intralaminar excitation of parvalbumin interneurons in mouse barrel cortex
Scheuer, K. S., Jansson, A. M., Zhao, X., & Jackson, M. B. (2024) · PLoS ONE · doi:10.1371/journal.pone.0289901 · Cited by 4
Spatially targeted inhibitory rhythms differentially affect neuronal integration
Headley, D. B., Latimer, B., Aberbach, A., & Nair, S. S. (2024) · eLife · doi:10.7554/elife.95562.3 · Cited by 5
Biologically inspired load balancing mechanism in neocortical competitive learning
Tal, A., Peled, N., & Siegelmann, H. T. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00018 · Cited by 3
Modelling Spontaneous Firing Activity of the Motor Cortex in a Spiking Neural Network with Random and Local Connectivity
Haggie, L., Besier, T. F., & McMorland, A. J. C. (2023) · Neurons Behavior Data analysis and Theory · doi:10.51628/001c.82127 · Cited by 3
GPR50 Distribution in the Mouse Cortex and Hippocampus
Li, Q., Zhang, Y., Ge, B.-Y., Li, N., Sun, H. L., Ntim, M., Sun, Y., Wu, X., Yang, J.-Y., & Li, S. (2020) · Neurochemical Research · doi:10.1007/s11064-020-03089-w · Cited by 3
Inhibitory Feedback Enables Predictive Learning of Multiple Sequences in Neural Networks
Saponati, M., & Vinck, M. A. (2026) · Neural Computation · doi:10.1162/neco.a.1504 · Cited by 3
Critical dynamics are a homeostatic set point of cortical networks in vivoPreprint
Ma, Z., Turrigiano, G. G., Weßel, R., & Hengen, K. B. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/503243 · Cited by 3
Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networksPreprint
Sadeh, S., & Claudia Clopath, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.15.439946 · Cited by 3
Excitation-Inhibition Dynamics Regulate Activity Transmission Through the Perirhinal–Entorhinal Network
Willems, J. G. P., Wadman, W. J., & Cappaert, N. L. M. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.05.031 · Cited by 2
Gpr176 modulates the firing pattern of parvalbumin-positive interneurons in the orbitofrontal cortex of mouse
Tian, J., Huang, Z., & Zhang, W. (2025) · Molecular Brain · doi:10.1186/s13041-025-01254-2 · Cited by 3
A silent Kv channel subunit shapes PV neuron action potential waveform and short-term synaptic plasticity during high-frequency firing
Ganesh, S., Canty, T. M., & Sabatini, B. L. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2531946123 · Cited by 2
Cortical GABAergic Neurons
Staiger, J. F. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00202-5 · Cited by 2
Information capacity of a stochastically responding neuron assembly
Smyrnakis, I., Papadopouli, M., Palagina, G., & Smirnakis, S. M. (2021) · Neurocomputing · doi:10.1016/j.neucom.2020.12.130 · Cited by 2
Circuit-selective cell-autonomous regulation of inhibition in pyramidal neurons by Ste20-like kinase
Royero, P., Quatraccioni, A., Fruengel, R., Silva, M. H., Bast, A., Ulas, T., Beyer, M., Opitz, T., Schultze, J. L., Graham, M. E., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111757 · Cited by 2
Reciprocal Connections between Parvalbumin-Expressing Cells and Adjacent Pyramidal Cells Are Regulated by Clustered Protocadherin γ
Kawamura, N., Osuka, T., Kaneko, R., Kishi, E., Higuchi, R., Yoshimura, Y., Hirabayashi, T., Yagi, T., & Tarusawa, E. (2023) · eNeuro · doi:10.1523/eneuro.0250-23.2023 · Cited by 2
Connectivity of Motor Cortex, Motor Thalamus, and Striatum
Hooks, B. M. (2023) · Oxford University Press eBooks · doi:10.1093/med/9780197676158.003.0033 · Cited by 1
Local Differences in Network Organization in the Auditory and Parietal Cortex, Revealed with Single Neuron Activation
Khoury, C. F., Ferrone, M., & Runyan, C. A. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1385-24.2025 · Cited by 4
Gestational Chlorpyrifos Exposure Imparts Lasting Alterations to the Rat Somatosensory Cortex
Koenig, J. A., Haga, C. W., Cramer, N., & Keller, A. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0363-25.2025 · Cited by 2

Authors: Packer, A. M., & Yuste, R.
Affiliations: Howard Hughes Medical Institute (US)
ORCID: Packer, Adam M.
Yuste, Rafael
Venue: The Journal of Neuroscience
Publisher: Society for Neuroscience
Published: 2011-09-14
Volume: 31
Issue: 37
Pages: 13260-13271
ISSN: 0270-6474 (ISSN-L)
1529-2401
DOI: 10.1523/jneurosci.3131-11.2011
PMC: PMC3178964
OpenAlex: W2014350866
Cited by: 506
References: 45
Citations by year: 2026: 15 · 2025: 29 · 2024: 53 · 2023: 31 · 2022: 36 · 2021: 43 · 2020: 40 · 2019: 34 · 2018: 30 · 2017: 35 · 2016: 35 · 2015: 35 · 2014: 26 · 2013: 42 · 2012: 16
FWCI: 11.82
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by-nc-sa
creativecommons.org/licenses/by-nc-sa/4.0/ (vor, 182 d)
Locations: Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Funders: Howard Hughes Medical Institute
Topics: Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords: parvalbumin interneurons, GABAergic interneurons, neocortex, pyramidal neurons, cortical connectivity, inhibitory microcircuits, dense connections, glutamate uncaging, two-photon calcium imaging, mouse cortex
MeSH terms: Animals, Brain Mapping, Female, Interneurons, Male, Mice, Transgenic, Neural Inhibition, Neural Pathways, Parvalbumins, Pyramidal Cells, Patch-Clamp Techniques, Microscopy, Confocal, Neocortex, Mice, In Vitro Techniques

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

Dense, Unspecific Connectivity of Neocortical Parvalbumin-Positive Interneurons: A Canonical Microcircuit for Inhibition?

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks