The DOI matches its Crossref record; 252 of the 255 references it cites were found in a registry or an index.
Excitatory neuronal connectivity in the barrel cortex
Open accessAbstract
Neocortical areas are believed to be organized into vertical modules, the cortical columns, and the horizontal layers 1-6. In the somatosensory barrel cortex these columns are defined by the readily discernible barrel structure in layer 4. Information processing in the neocortex occurs along vertical and horizontal axes, thereby linking individual barrel-related columns via axons running through the different cortical layers of the barrel cortex. Long-range signaling occurs within the neocortical layers but also through axons projecting through the white matter to other neocortical areas and subcortical brain regions. Because of the ease of identification of barrel-related columns, the rodent barrel cortex has become a prototypical system to study the interactions between different neuronal connections within a sensory cortical area and between this area and other cortical as well subcortical regions. Such interactions will be discussed specifically for the feed-forward and feedback loops between the somatosensory and the somatomotor cortices as well as the different thalamic nuclei. In addition, recent advances concerning the morphological characteristics of excitatory neurons and their impact on the synaptic connectivity patterns and signaling properties of neuronal microcircuits in the whisker-related somatosensory cortex will be reviewed. In this context, their relationship between the structural properties of barrel-related columns and their function as a module in vertical synaptic signaling in the whisker-related cortical areas will be discussed.
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.
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
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Receptive fields of single neurones in the cat's striate cortex
Hubel, D. H., & Wiesel, T. N. (1959) · The Journal of Physiology · doi:10.1113/jphysiol.1959.sp006308 · Cited by 4,653
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564
MODALITY AND TOPOGRAPHIC PROPERTIES OF SINGLE NEURONS OF CAT'S SOMATIC SENSORY CORTEX
Mountcastle, V. B. (1957) · Journal of Neurophysiology · doi:10.1152/jn.1957.20.4.408 · Cited by 2,411
The columnar organization of the neocortex
Mountcastle, V. B. (1997) · Brain · doi:10.1093/brain/120.4.701 · Cited by 2,314
The structural organization of layer IV in the somatosensory region (S I) of mouse cerebral cortex
Woolsey, T. A., & Van der Loos, H. (1970) · Brain Research · doi:10.1016/0006-8993(70)90079-x · Cited by 2,254
Highly nonrandom features of synaptic connectivity in local cortical circuits
Song, S., Sjöström, P. J., Reigl, M., Nelson, S., & Chklovskii, D. B. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030068 · Cited by 1,512
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
A new cellular mechanism for coupling inputs arriving at different cortical layers
Larkum, M. E., Zhu, J. J., & Sakmann, B. (1999) · Nature · doi:10.1038/18686 · Cited by 1,180
The high-conductance state of neocortical neurons in vivo
Alain Destexhe, A., Rudolph, M., & Paré, D. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1198 · Cited by 1,062
Research works printed but not linked: 5
- Alloway K. D. Mutic J. J. Hoffer Z. S. Hoover J. E. (2000). Overlapping corticostriatal projections from the rodent vibrissal representations in primary and secondary somatosensory cortex. J. Comp. Neurol. 428, 51– 67 11185904
- Douglas R. Markram H. Martin K. (2004). Neocortex, in The Synaptic Organization of the Brain, 5th Edn ed Shepherd G. M. (New York, NY: Oxford University Press), 499– 558
- Fox K. D. (2008). Barrel Cortex, 1st Edn Cambridge, UK: Cambridge University Press
- Jones E. G. (1984). Laminar distribution of cortical efferent cells, in Cerebral Cortex, Vol. 1, Cellular Components of the Cerebral Cortex, eds Peters A. Jones E. G. (New York, NY: Plenum Press), 521– 533
- Tömböl T. (1984). Layer VI cells, in Cerebral Cortex, eds Peters A. Jones E. G. (New York, London: Plenum Press), 479– 519
Cited by
Sorted by citations
Items 201–298 of 298
Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks
van Gils, T., Tiesinga, P. H. E., Englitz, B., & Martens, M. B. (2019) · Neural Computation · doi:10.1162/neco_a_01215 · Cited by 4
Scheuer, K. S., Judge, J. M., Zhao, X., & Jackson, M. B. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad254 · Cited by 6
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
Modelling novelty detection in the thalamocortical loop
Han, C., English, G., Saal, H. P., Indiveri, G., Gilra, A., von der Behrens, W., & Vasilaki, E. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009616 · Cited by 5
Phase diagram of spiking neural networks
Seyed-allaei, H. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00019 · Cited by 4
Functional Magnetic Resonance Spectroscopy at 7 T in the Rat Barrel Cortex During Whisker Activation
Blanc, J., Roumes, H., Mazuel, L., Massot, P., Raffard, G., Biran, M., & Bouzier‐Sore, A. (2019) · Journal of Visualized Experiments · doi:10.3791/58912 · Cited by 4
Kang, S., Hayashi, Y., Bruyns‐Haylett, M., Baker, D. H., Boura, M., Wang, X., Karatzas, K. A. G., Serra, I., Bithell, A., Williams, C. M., et al. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz011 · Cited by 4
Preuss, F., Walker, F., Möck, M., Witte, M., & Staiger, J. F. (2025) · The Journal of Physiology · doi:10.1113/jp288309 · Cited by 5
Kariyappa, J. T., Zanoni, S., Bongers, A., Tong, L. J., & Ashwell, K. W. S. (2022) · The Journal of Comparative Neurology · doi:10.1002/cne.25328 · Cited by 3
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
Rollenhagen, A., Anstötz, M., Zimmermann, K., Kasugai, Y., Sätzler, K., Molnár, E., Ferraguti, F., & Lübke, J. H. R. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac212 · Cited by 3
Simultaneous single-cell calcium imaging of neuronal population activity and brain-wide BOLD fMRI
Ubaghs, R. L. E. M., Boehringer, R., Marks, M., Hesse, H. K., Yanik, M. F., Zerbi, V., & Grewe, B. F. (2026) · Nature Methods · doi:10.1038/s41592-026-03154-2 · Cited by 3
Variation and convergence in the morpho-functional properties of the mammalian neocortex
Mahon, S. (2024) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2024.1413780 · Cited by 3
Specific Functional Connectivity of Molecular Subtypes of Subplate and Layer 6b Neurons
Chang, M., Xu, Z., Nehs, S., Chen, Y., Kao, J. P. Y., & Kanold, P. O. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.2094-24.2025 · Cited by 4
Sensing and processing whisker deflections in rodents
Burns, T. F., & Rajan, R. (2021) · PeerJ · doi:10.7717/peerj.10730 · Cited by 3
Columnar Architecture Improves Noise Robustness in a Model Cortical Network
Bush, P. C., & Mainen, Z. F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119072 · Cited by 3
Bony, G., Bhaskaran, A. A., Corf, K. L., & Frick, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.30.274308 · Cited by 3
GPR88 localization to primary cilia in neurons is cell-type specific
Guan, Y. H. L., Kieffer, B. L., von Zastrow, M., & Ehrlich, A. T. (2025) · Life Science Alliance · doi:10.26508/lsa.202503366 · Cited by 2
Functional emergence of a column-like architecture in layer 5 of mouse somatosensory cortex in vivo
Koizumi, K., Inoue, M., Chowdhury, S., Bito, H., Yamanaka, A., Ishizuka, T., & Yawo, H. (2018) · The Journal of Physiological Sciences · doi:10.1007/s12576-018-0618-4 · Cited by 2
Staiger, J. F. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00202-5 · Cited by 2
Layer-specific population rate coding in a local cortical model with a laminar structure
Wu, S., Cao, H., Zhang, G., Zhou, G., Hamouda, E., Xia, Y., Yao, D., & Guo, D. (2022) · Nonlinear Dynamics · doi:10.1007/s11071-022-07461-z · Cited by 2
Shigematsu, N., Miyamoto, Y., Esumi, S., & Fukuda, T. (2024) · eNeuro · doi:10.1523/eneuro.0518-22.2024 · Cited by 2
Burns, T. F., & Rajan, R. (2022) · Physiological Reports · doi:10.14814/phy2.15155 · Cited by 2
CELL TYPE SPECIFIC CONNECTIONS FROM PRIMARY MOTOR TO PRIMARY SOMATOSENSORY CORTEX
Kinnischtzke, A. K. (2013) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 2
Circuit development in somatosensory cortex
Kim, T., Hooks, B. M., & Cheetham, C. E. J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814411-4.00007-x · Cited by 2
Bio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine
Leukhin, A., Talanov, M. O., Vallverdú, J., & Gafarov, F. M. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.11.075 · Cited by 2
Abbasi, A., Lassagne, H., Estebanez, L., Goueytes, D., Shulz, D. E., & Ego‐Stengel, V. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.12.873794 · Cited by 3
Brandalise, F., Chéreau, R., Raig, C. M., Bawa, T., Mule, N., Pagès, S., Markopoulos, F., & Holtmaat, A. J. D. G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.20.572353 · Cited by 2
Staiger, J. F., Sachkova, A., Möck, M., Guy, J., & Witte, M. (2022) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2022.1000107 · Cited by 1
Evolution of the Human Brain: Design Without a Designer
Hofman, M. A. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00129-9 · Cited by 1
Synapses: Multitasking Global Players in the Brain
Lübke, J. H. R., & Rollenhagen, A. (2019) · e-Neuroforum · doi:10.1515/nf-2019-0015 · Cited by 1
Raspanti, A., Pizzo, R., Gurgone, A., Giraudo, C., Sagona, G., Macioce, A., Battaglia, A., Katsanou, L., Comai, D., Medici, G., et al. (2026) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2026.102949 · Cited by 1
Fxr1 Deletion from Cortical Parvalbumin Interneurons Modifies Their Excitatory Synaptic Responses
Scheuer, K. S., Jansson, A. M., Shen, M., Zhao, X., & Jackson, M. B. (2025) · eNeuro · doi:10.1523/eneuro.0363-24.2024 · Cited by 1
Lakhani, A., Huang, W., Rodgers, C. C., & Wenner, P. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.106837 · Cited by 1
Computational modeling reveals biological mechanisms underlying the whisker flick EEG
Tharayil, J., Isbister, J. B., Neufeld, E., & Reimann, M. (2025) · iScience · doi:10.1016/j.isci.2025.113793 · Cited by 1
Bio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine
Leukhin, A., Talanov, M. O., Vallverdú, J., & Gafarov, F. M. (2018) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2018.10.007 · Cited by 1
The Role of Perineuronal Nets in Regulating Barrel Cortex Physiology
Chu, P. (2015) · CUNY Academic Works (City University of New York) · Cited by 1
Spectral Hallmark of Auditory-Tactile Interactions in the Mouse Somatosensory CortexPreprint
Zhang, M., Kwon, S. E., Johny, M. B., O’Connor, D. H., & Issa, J. B. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/668319 · Cited by 1
Modelling novelty detection in the thalamocortical loopPreprint
Han, C., English, G., Saal, H. P., Indiveri, G., Gilra, A., von der Behrens, W., & Vasilaki, E. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.08.467674 · Cited by 1
Pineau, L., Buhler, E., Tarhini, S., Bauer, Š., Crépel, V., Françoise Watrin, A., Cardoso, C., Represa, A., Szepetowski, P., & Burnashev, N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.01.569539 · Cited by 1
Learning enhances behaviorally relevant representations in apical dendritesPreprint
Benezra, S. E., Patel, K., Campos, C. P., Hillman, E. M. C., & Bruno, R. M. (2024) · eLife · doi:10.7554/elife.98349.1 · Cited by 1
Isbister, J. B., Ecker, A., Pokorny, C., Bolaños‐Puchet, S., Santander, D. E., Arnaudon, A., Awile, O., Barros-Zulaica, N., Alonso, J. B., Boci, E., et al. (2024) · eLife · doi:10.7554/elife.99693 · Cited by 3
Isbister, J. B., Ecker, A., Pokorny, C., Bolaños‐Puchet, S., Santander, D. E., Arnaudon, A., Awile, O., Barros-Zulaica, N., Alonso, J. B., Boci, E., et al. (2025) · eLife · doi:10.7554/elife.99693.2 · Cited by 1
Distinct laminar origins of high-gamma and low-frequency ECoG signals revealed by optogeneticsPreprint
Gardères, P.-M., Feldman, D. E., & Bouchard, K. E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.02.680142 · Cited by 1
Concordant transcriptional and morphological remodeling revealed by in vivo Perturb-CLEARPreprint
Wu, B., Simmons, S., Kim, S., Li, J., Akram, M. A., Park, C. S., Zheng, X., Mendez, I., Patel, S., Chau, A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.06.716787 · Cited by 2
Imaging the Cortical Representation of Active Sensing in the Vibrissa System
Helmchen, F., & Chen, J. L. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2975-7_5
Synchronization and Propagation of Electrical Potentials in Neural Networks in the Cerebral Cortex
Марченко, В. Г., & Зайченко, М. И. (2015) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-015-0201-x
Guy, J. (2016) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-5642
Temporal Dynamics of Cortical Adaptation
Dalefield, M. L. (2015) · ANU Open Research (Australian National University) · doi:10.25911/5d76327ce7f53
Pater, B. A. (2020) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-8059
Morphologically constrained modeling of spinous inhibition in the somato-sensory cortexPreprint
Gemin, O., Serna, P., Assendorp, N., Fossati, M., Rostaing, P., Triller, A., & Charrier, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.06.230722
Cheng, Y.-P., Huang, J., Yeh, C.-I., & Pei, Y. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.708459
Duffin, J. (2017) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.732084138.793539459
Cortical cell assemblies and their underlying connectivity: an in silico studyPreprint
Ecker, A., Santander, D. E., Bolaños‐Puchet, S., Isbister, J. B., & Reimann, M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.24.529863
Medalla, M., & Luebke, J. I. (2024) · Neuromethods · doi:10.1007/978-1-0716-4019-7_10
Lakhani, A., Huang, W., Rodgers, C. C., & Wenner, P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.23.614487
Roles for the MEF2 Transcription Factors in Synapse and Circuit Development and Plasticity
Zhang, Z., & Huber, K. M. (2024) · Springer eBooks · doi:10.1007/978-3-031-68550-7_11
Learning enhances behaviorally relevant representations in apical dendritesPreprint
Benezra, S. E., Patel, K., Campos, C. P., Hillman, E. M. C., & Bruno, R. M. (2024) · eLife · doi:10.7554/elife.98349.2
Enhancing anesthetic techniques for improving whisker stimulation response in the barrel cortex
Yuan, Y., Liu, T., & Wang, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318306
Zhu, Z., Jiang, T., Jia, X., Wang, X., & Ren, M. (2025) · Neuroscience Research · doi:10.1016/j.neures.2025.104912
Biased Inter-columnar Communication and Short-Term Plasticity in Mouse Barrel Cortex
Judge, J. M., & Jackson, M. B. (2026) · eNeuro · doi:10.1523/eneuro.0109-26.2026
Su, M., Liu, J., Yu, B., Zhou, K., Sun, C., Yang, M., & Zhao, C. (2021) · Figshare · doi:10.6084/m9.figshare.14404387
Unbiased, High-Throughput Electron Microscopy Analysis of Experience-Dependent Synaptic Changes
Chandrasekaran, S. (2018) · Figshare · doi:10.1184/r1/6724097
Tolboom, A. T., Hucher, G., Shulz, D. E., & Ego‐Stengel, V. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.08.698338
Gardères, P.-M., Feldman, D. E., & Bouchard, K. E. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2516293123
Studying Neuronal Connectivity in the Mouse Brain in Normal Condition and Fragile X Syndrome
Haberl, M. G. (2014) · theses.fr (ABES) · doi:10.70675/cbb47168z82fbz41a1z9174zd9e36b2b5a6d
How does brain size influence the network properties of the cortex?
Gamanut, A. R. (2016) · theses.fr (ABES) · doi:10.70675/95831b16zc60cz4b46za557z4c90134677ea
Synaptic changes upon removal of extracellular perineuronal nets in adult mouse visual cortex
Faini, G. (2017) · theses.fr (ABES) · doi:10.70675/7b38d504z7edfz47dezbf9az0a8668ae448a
The role of intrinsic neuronal excitability for Prelimbic network function
Sa, R. D. (2019) · theses.fr (ABES) · doi:10.70675/8b11b402z0ae7z4587z8084z65b59ce7ba62
Dynamique de l’excitabilité corticale dans l’épilepsie-absence et intégration sensorielle
Williams, M. (2018) · theses.fr (ABES) · doi:10.70675/f3f16401z6809z4b94z8a26z7ab6e7bd4a9f
From AMPAR lateral diffusion to whisker perception : a new model for cortical remapping
Campelo, T. (2019) · theses.fr (ABES) · doi:10.70675/522bd21az83c3z4251z9e4dz4955a2c5c273
Assembling layer 1 of the neocortex : roles of Cajal-Retzius cells
Genescu, I. (2020) · theses.fr (ABES) · doi:10.70675/3fe1b21cz5c6bz4150z94e6zd77163aba0ad
Stimulation électrique transcrânienne multisite dans l'épilepsie pharmaco-résistante
Denoyer, Y. (2019) · theses.fr (ABES) · doi:10.70675/0c55a83dz3729z4ee8zb7c9zd03118d26e81
Royer, J. (2021) · theses.fr (ABES) · doi:10.70675/9561320dz3197z4755zbb24zf51613d38d02
Physiopathologie des comas isoélectriques : de l’EEG au neurone
Carton‐Leclercq, A. (2023) · theses.fr (ABES) · doi:10.70675/7e9150a6z8959z43baza4b4zcaf0222fc163
Optimizing cortical feedback strategies for a closed-loop brain machine interface
Lassagne, H. (2023) · theses.fr (ABES) · doi:10.70675/779d5bbaz5470z4faczb771z288a715634b1
Pineau, L. (2023) · theses.fr (ABES) · doi:10.70675/39c790cfzdf57z416bzb9cez06eca43d9cda
Biasiolo, J. F. D. V., Pedersen, M. G., Kuhn, B., & Cecchetto, C. (2025) · International Conference on Biomedical Engineering and Technology (ICBET) · doi:10.1109/icbet66094.2025.11469910
Revah, O., Wolf, F., Gutnick, M. J., & Neef, A. (2026) · PLoS Biology · doi:10.1371/journal.pbio.3003789
Cortical network resilience to transient anoxia involves redistribution of single-neuron firing
Grou-Radenez, A., Carton‐Leclercq, A., Carrion‐Falgarona, S., Pinto, A., Oudea, B., Lecas, S., Charpier, S., & Mahon, S. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107441
Sumera, A., Crichton, A., Kind, P. C., Sibley, C. R., & Booker, S. A. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1819200
Mapping brain-wide monosynaptic inputs to single neurons with ROInet-seq
Lin, Z., Ophir, O., Trimbuch, T., Gann, B., Tibi, M., Schmidt, H., Rosenmund, C., Hochgerner, H., & Zeisel, A. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101512 · Cited by 3
Wei, H., Li, Y., Zhao, T., Ren, X., Qiu, X., Zhang, F., Li, Y., & Zhang, M. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106223
Bornschein, G., Schwarze, M., Brunner, A., Arshia, A., Brachtendorf, S., & Schmidt, H. (2026) · eLife · doi:10.7554/elife.110314.2
Dynamic analysis of epileptic seizures induced by excitatory circuits in the corticothalamic network
Zeng, J., Zheng, Y., Ma, L., Zhong, S., & Chen, Y. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-026-13078-3
Deciphering nervous systems wiring: Tract-tracing and complementary methods
Schmitt, O., Eipert, P., Maestro, R. T., Bellmann, M., Haase, S., Morawska, P., & Prathapan, V. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106943
Zhan, X., Tan, P., Tan, T., & Chen, C.-C. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1932616
The role of fast-spiking interneurons in cortical map plasticity
Albieri, G. (2013)
Ólafsdóttir, H. F. (2014) · UCL Discovery (University College London)
Metadata
- Authors
- Feldmeyer, D.
- Affiliations
- Forschungszentrum Jülich (DE)
- Corresponding author
- Feldmeyer, Dirk
- ORCID
- Feldmeyer, Dirk
- Venue
- Frontiers in Neuroanatomy
- Publisher
- Frontiers Media SA
- Published
- 2012
- Volume
- 6
- Pages
- 24-24
- ISSN
- 1662-5129 (ISSN-L)
- PMC
- PMC3394394
- OpenAlex
- W2156728993
- Cited by
- 298
- References
- 255
- Citations by year
- 2026: 16 · 2025: 15 · 2024: 15 · 2023: 19 · 2022: 16 · 2021: 31 · 2020: 26 · 2019: 25 · 2018: 25 · 2017: 23 · 2016: 24 · 2015: 23 · 2014: 25 · 2013: 14 · 2012: 1
- FWCI
- 10.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroanatomy (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- JuSER (Forschungszentrum Jülich) (submittedVersion, other-oa)
- RWTH Publications (RWTH Aachen) (submittedVersion, other-oa)
- RWTH Publications (RWTH Aachen)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- barrel cortex, excitatory neurons, cortical columns, somatosensory cortex, somatomotor cortex, thalamic nuclei, neuronal microcircuits, neuronal morphology, synaptic connectivity
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