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Excitatory signal flow and connectivity in a cortical column: focus on barrel cortex.
Abstract
A basic feature of the neocortex is its organization in functional, vertically oriented columns, recurring modules of signal processing and a system of transcolumnar long-range horizontal connections. These columns, together with their network of neurons, present in all sensory cortices, are the cellular substrate for sensory perception in the brain. Cortical columns contain thousands of neurons and span all cortical layers. They receive input from other cortical areas and subcortical brain regions and in turn their neurons provide output to various areas of the brain. The modular concept presumes that the neuronal network in a cortical column performs basic signal transformations, which are then integrated with the activity in other networks and more extended brain areas. To understand how sensory signals from the periphery are transformed into electrical activity in the neocortex it is essential to elucidate the spatial-temporal dynamics of cortical signal processing and the underlying neuronal 'microcircuits'. In the last decade the 'barrel' field in the rodent somatosensory cortex, which processes sensory information arriving from the mysticial vibrissae, has become a quite attractive model system because here the columnar structure is clearly visible. In the neocortex and in particular the barrel cortex, numerous neuronal connections within or between cortical layers have been studied both at the functional and structural level. Besides similarities, clear differences with respect to both physiology and morphology of synaptic transmission and connectivity were found. It is therefore necessary to investigate each neuronal connection individually, in order to develop a realistic model of neuronal connectivity and organization of a cortical column. This review attempts to summarize recent advances in the study of individual microcircuits and their functional relevance within the framework of a cortical column, with emphasis on excitatory signal flow.
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“For example, L4 spiny neurons in the barrel cortex of the mouse are characterized by mainly vertically-oriented, predominantly intra-columnar, axons that target layer 2/3 pyramidal cells [46].”
From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [46]
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“The projections from layer 3 to layer 5 are confined to the same column [46].”
From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [46]
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“It is known that layer 2/3 pyramidal cell axons have two distinct projection fields: one horizontal (the long range axon collaterals), and one vertical [46].”
From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [46]
Citations
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997) · Science · doi:10.1126/science.275.5297.213 · Cited by 3,832
Self-citationInterneurons of the hippocampus
Freund, T. F., & Buzsáki, G. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1996)6:4 · Cited by 3,478
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
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
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
Tsodyks, M. V., & Markram, H. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.2.719 · Cited by 1,634
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
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Strack, B., Jacobs, K. M., & Cios, K. J. (2014) · International Journal of Neural Systems · doi:10.1142/s0129065714400024 · Cited by 23
Dynamic connectivity among cortical layers in local and large‐scale sensory processing
Plomp, G., Quairiaux, C., Kiss, J. Z., Astolfi, L., & Michel, C. M. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12687 · Cited by 21
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. (2026) · eLife · doi:10.1101/2023.05.17.541168 · Cited by 23
Bakker, R., Schubert, D., Levels, K., Bezgin, G., Bojak, I., & Kötter, R. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.07.014 · Cited by 21
Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity
Liley, D. T. J., Foster, B. L., & Bojak, I. (2012) · Springer eBooks · doi:10.1007/978-94-007-3858-4_11 · Cited by 21
Agnati, L. F., Guidolin, D., Leo, G., Guescini, M., Pizzi, M., Stocchi, V., Spano, P., Ghidoni, R., Ciruela, F., Genedani, S., et al. (2011) · Journal of Receptors and Signal Transduction · doi:10.3109/10799893.2011.599393 · Cited by 20
Rauhala, O. J., Domínguez, S., Spyropoulos, G. D., Ferrero, J. J., Boyers, T. R., Jastrzebska‐Perfect, P., Cea, C., Khodagholy, D., & Gelinas, J. N. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201900663 · Cited by 19
Near-isometric flattening of brain surfaces
Balasubramanian, M., Polimeni, J. R., & Schwartz, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.008 · Cited by 20
A 0.5 ${\rm cm}^{3}$ Four-Channel 1.1 mW Wireless Biosignal Interface With 20 m Range
Morrison, T., Nagaraju, M. B., Winslow, B. D., Bernard, A., & Otis, B. P. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2260337 · Cited by 19
Neonatal whisker clipping alters behavior, neuronal structure and neural activity in adult rats
Chu, Y., Yen, C., & Lee, L. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.10.022 · Cited by 20
Long‐range cortical dynamics: a perspective from the mouse sensorimotor whisker system
Ni, J., & Chen, J. L. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13698 · Cited by 19
Liu, Y., Foustoukos, G., Crochet, S., & Petersen, C. C. H. (2022) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.791015 · Cited by 20
Rat psychomotor vigilance task with fast response times using a conditioned lick behavior
Walker, J. L., Walker, B. M., Monjaraz-Fuentes, F., & Rector, D. M. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.07.041 · Cited by 20
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The role of cell lineage in the development of neuronal circuitry and function
Hartenstein, V., Omoto, J. J., & Lovick, J. K. (2020) · Developmental Biology · doi:10.1016/j.ydbio.2020.01.012 · Cited by 18
Alterations of the cortico-cortical network in sensori-motor areas of dystrophin deficient mice
Minciacchi, D., Tongo, C. D., Carretta, D., Nosi, D., & Granato, A. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.01.040 · Cited by 18
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Shamir, I., & Assaf, Y. (2020) · Neuroinformatics · doi:10.1007/s12021-020-09491-7 · Cited by 16
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Fox, K. D. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.034 · Cited by 17
Nogueira‐Campos, A. A., Finamore, D. M., Imbiriba, L. A., Houzel, J., & Franca, J. G. (2012) · Frontiers in Neural Circuits · doi:10.3389/fncir.2012.00057 · Cited by 16
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Bardella, G., Franchini, S., Pan, L., Balzan, R., Ramawat, S., Brunamonti, E., Pani, P., & Ferraina, S. (2024) · Entropy · doi:10.3390/e26060495 · Cited by 16
Staiger, J. F. (2015) · Atlantis Press eBooks · doi:10.2991/978-94-6239-133-8_40 · Cited by 15
Liu, J., Liu, B., Zhang, X., Yu, B., Guan, W., Wang, K., Yang, Y., Gong, Y., Wu, X., Yanagawa, Y., et al. (2014) · Molecular Brain · doi:10.1186/s13041-014-0084-8 · Cited by 14
Inhibitory control of synaptic signals preceding locomotion in mouse frontal cortex
Zhang, C.-L., Koukouli, F., Allegra, M., Ortiz, C., Kao, H.-L., Maskos, U., Changeux, J., & Schmidt‐Hieber, C. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110035 · Cited by 13
Aberrant neuronal connectivity in the cortex drives generation of seizures in rat absence epilepsy
Studer, F., Jarre, G., Pouyatos, B., Némoz, C., Bräuer‐Krisch, E., Muzelle, C., Serduc, R., Heinrich, C., & Depaulis, A. (2022) · Brain · doi:10.1093/brain/awab438 · Cited by 13
Chapeton, J. I., Gala, R., & Stepanyants, A. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00074 · Cited by 11
Correlations Decrease with Propagation of Spiking Activity in the Mouse Barrel Cortex
Ranganathan, G. N., & Koester, H. J. (2011) · Frontiers in Neural Circuits · doi:10.3389/fncir.2011.00008 · Cited by 11
Bieber, M., Schwerin, S., Kreuzer, M., Klug, C., Henzler, M., Schneider, G. H., Haseneder, R., & Kratzer, S. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.1044536 · Cited by 10
Toward Behavioral Benchmarks for Whisker-Related Sensory Processing: Figure 1.
Stüttgen, M. C. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0713-10.2010 · Cited by 10
Su, M., Liu, J., Yu, B., Zhou, K., Sun, C., Yang, M., & Zhao, C. (2021) · Molecular Brain · doi:10.1186/s13041-021-00775-w · Cited by 10
Spatial attention in area V4 is mediated by circuits in primary visual cortex
Tiesinga, P. H. E., & Buia, C. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.07.010 · Cited by 10
Horiuchi‐Hirose, M., & Sawada, K. (2016) · The Anatomical Record · doi:10.1002/ar.23369 · Cited by 10
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Shulz, D. E., & Feldman, D. E. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397267-5.00029-7 · Cited by 12
Liu, Y., Ohshiro, T., Sakuragi, S., Koizumi, K., Mushiake, H., Ishizuka, T., & Yawo, H. (2019) · Scientific Reports · doi:10.1038/s41598-019-40688-2 · Cited by 9
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Radnikow, G., Qi, G., & Feldmeyer, D. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2975-7_4 · Cited by 9
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Vélez‐Fort, M., & Margrie, T. W. (2012) · Current Biology · doi:10.1016/j.cub.2012.03.055 · Cited by 10
Humble, S. R. (2016) · F1000Research · doi:10.12688/f1000research.9034.1 · Cited by 9
Micro-scale functional modules in the human temporal lobe
Chapeton, J. I., Wittig, J. H., Inati, S. K., & Zaghloul, K. A. (2022) · Nature Communications · doi:10.1038/s41467-022-34018-w · Cited by 10
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Haley, M. S., & Maffei, A. (2017) · The Neuroscientist · doi:10.1177/1073858417733720 · Cited by 9
Ueta, Y., & Miyata, M. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105332 · Cited by 8
Locally Measured Neuronal Correlates of Functional MRI Signals
Shmuel, A. (2009) · Springer eBooks · doi:10.1007/978-3-540-87919-0_4 · Cited by 9
Varró, P., Kovács, M., & Világi, I. (2016) · Toxicology Letters · doi:10.1016/j.toxlet.2016.12.012 · Cited by 8
Siegel, D. J., & Siegel, M. W. (2014) · Wiley eBooks · doi:10.1002/9781118294895.ch2 · Cited by 8
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.99693.1 · Cited by 8
Laghouati, E., Studer, F., Depaulis, A., & Guillemain, I. (2021) · Epilepsia · doi:10.1111/epi.17151 · Cited by 7
Yang, Q., Vazquez, A. L., & Cui, X. T. (2024) · iScience · doi:10.1016/j.isci.2024.109371 · Cited by 7
Prume, M., Rollenhagen, A., & Lübke, J. H. R. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00080 · Cited by 8
Self-citationThe Axon of Excitatory Neurons in the Neocortex: Projection Patterns and Target Specificity
Lübke, J. H. R., & Feldmeyer, D. (2010) · Springer eBooks · doi:10.1007/978-1-4419-1676-1_9 · Cited by 7
Self-citationA model of individualized canonical microcircuits supporting cognitive operations
Kunze, T., Peterson, A. D. H., Haueisen, J., & Knösche, T. R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188003 · Cited by 8
Young, N., Stepniewska, I., & Kaas, J. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-369497-3.10019-6 · Cited by 5
Systematic population spike delays across cortical layers within and between primary sensory areas
Plomp, G., Michel, C. M., & Quairiaux, C. (2017) · Scientific Reports · doi:10.1038/s41598-017-15611-2 · Cited by 8
Anisotropy of ongoing neural activity in the primate visual cortex
Maier, A., Cox, M. A., Dougherty, K., Moore, B., & Leopold, D. A. (2014) · Eye and Brain · doi:10.2147/eb.s51822 · Cited by 7
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Talanov, M. O., Leukhin, A., Lövheim, H., Vallverdú, J., Toschev, A. S., & Gafarov, F. M. (2019) · Springer series in cognitive and neural systems · doi:10.1007/978-3-030-03104-6_6 · Cited by 7
Petschenig, H., Bisio, M., Maschietto, M., Leparulo, A., Legenstein, R. A., & Vassanelli, S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.838054 · Cited by 6
Baek, K., Park, C. R., Jang, S., Shim, W. H., & Kim, Y. R. (2022) · Scientific Reports · doi:10.1038/s41598-022-13759-0 · Cited by 6
Optogenetic conditioning of paradigm and pattern discrimination in the rat somatosensory system
Abe, K., & Yawo, H. (2017) · PLoS ONE · doi:10.1371/journal.pone.0189439 · Cited by 7
Lombardi, A., Wang, Q., Stüttgen, M. C., Mittmann, T., Luhmann, H. J., & Kilb, W. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1254776 · Cited by 5
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Meftah, S., Cavallini, A., Murray, T. K., Jankowski, Ł., Bose, S., Ashby, M. C., Brown, J. T., & Witton, J. (2024) · Brain Communications · doi:10.1093/braincomms/fcae134 · Cited by 6
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Matsuda, K., Shirakami, A., Nakajima, R., Akutsu, T., & Shimono, M. (2023) · eNeuro · doi:10.1523/eneuro.0094-23.2023 · Cited by 4
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Miyashita, T. (2025) · Anatomical Science International · doi:10.1007/s12565-025-00877-8 · Cited by 4
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Logvinov, A. K., Kirichenko, E. Y., Повилайтите, П. Е., & Сухов, А. Г. (2010) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-010-9387-0 · Cited by 4
Chambers, J. D., Bethwaite, B., Diamond, N. T., Peachey, T., Abramson, D., Petrou, S., & Thomas, E. A. (2012) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2012.00053 · Cited by 4
Myelination of Callosal Axons Is Hampered by Early and Late Forelimb Amputation in Rats
Vianna-Barbosa, R. J., Bahia, C. P., Sanabio, A., de Freitas, G. P. A., da Costa, R. M., Garcez, P. P., de Miranda, K. R., Lent, R., & Tovar-Moll, F. F. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa090 · Cited by 4
Locally Measured Neuronal Correlates of Functional MRI Signals
Shmuel, A., & Maier, A. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_6 · Cited by 6
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
Self-citationMoharramipour, A., & Kitazawa, S. (2021) · Cerebral Cortex Communications · doi:10.1093/texcom/tgab025 · Cited by 3
Impact of cortical plasticity on patterns of suprathreshold activity in the cerebral cortex
Pita‐Almenar, J. D., Ranganathan, G. N., & Koester, H. J. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00245.2011 · Cited by 3
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
Demattíes, D., Rizzi, S., Thiruvathukal, G. K., Perez, M. D., Wainselboim, A. J., & Zanutto, B. S. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00012 · Cited by 3
Yang, D., Günter, R. H., Qi, G., Radnikow, G., & Feldmeyer, D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/701318 · Cited by 3
Self-citationYang, P., Reed, J. L., Yang, Z., Wang, F., Zheng, N., Gore, J. C., & Chen, L. M. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.2375-24.2025 · 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
Synchronous inhibitory synaptic inputs to layer II/III pyramidal neurons in the murine barrel cortex
Yamamoto, K., Nakaya, Y., Sugawara, S., & Kobayashi, M. (2021) · Brain Research · doi:10.1016/j.brainres.2021.147686 · Cited by 2
Ahmad, F., Darbari, M., & Asthana, R. (2015) · Asian Journal of Computer and Information Systems · doi:10.24203/ajcis.v3i1.2264.g1226 · Cited by 2
Feldmeyer, D. (2010) · Nature · doi:10.1038/4641134a · Cited by 2
Self-citationBio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine
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Rollenhagen, A., Sadeghi, A., Walkenfort, B., Hilgetag, C. C., Sätzler, K., & Lübke, J. H. R. (2024) · eLife · doi:10.7554/elife.99473 · Cited by 3
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Granato, A. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-81908-7_1 · Cited by 1
Geloso, M. C., Sante, G. D., & Granato, A. (2026) · Cells · doi:10.3390/cells15100869 · Cited by 1
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Sun, M.-L. (2013) · The Chinese Journal of Physiology · doi:10.4077/cjp.2013.bab129 · 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
Self-citationNeuronal Gap Junctions in Cortical Columns and Nuclei of the Ventral Thalamus of Rats
Kirichenko, E. Y., Logvinov, A. K., & Filippova, S. Y. (2018) · Cell and Tissue Biology · doi:10.1134/s1990519x18010091 · 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
Locally Measured Neuronal Correlates of Functional MRI Signals
Shmuel, A., & Maier, A. (2022) · Springer eBooks · doi:10.1007/978-3-031-07121-8_4 · Cited by 1
A strong direct link from the layer 3/4 border to layer 6 of cat primary visual cortex
Martin, K. A. C., & Martin, K. A. C. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02806-3 · Cited by 1
Structure and plasticity potential of neural networks in the cerebral cortex
Fares, T. (2010) · Digital Repository Service (Northeastern University) · doi:10.17760/d20000285 · Cited by 1
Risk based prioritization of Asthma Burden Using Artificial Neuro Fuzzy Inference System
Patel, A. R. (2009) · Shodhganga · 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
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
Barz, C. S. (2014) · Research Publications (Maastricht University) · doi:10.26481/dis.20140630cb
Role of mGluR5 and FMRP in mouse primary somatosensory cortex
Wijetunge, L. S. (2009) · OpenGrey (Institut de l'Information Scientifique et Technique)
Zur synaptischen Transmission und Plastizität in kortikalen Hirnschnittpräparaten
Wozny, C. (2014) · Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver · doi:10.17169/refubium-4687
Евгеньевич, М. А., Сухов, А. Г., & Sinitsyna, V. V. (2013) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-013-9843-8
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Tanke, N. (2014) · EUR Research Repository (Erasmus University Rotterdam)
Morphometric analysis of feedforward pathways from the primary somatosensory area (S1) of rats
de Sá, A. L., Bahia, C. P., Corrêa, V. C., Dias, I. A., Batista, C. D. S., Gomes‐Leal, W., de Pinho, A. L. S., Houzel, J., Diniz, C. W. P., & Pereira, A. (2016) · Brazilian Journal of Medical and Biological Research · doi:10.1590/1414-431x20155115
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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
activity in the cerebral cortex Impact of cortical plasticity on patterns of suprathreshold
Pita-Almenar, D., Ranganathan, G. N., & Koester, H. J. (2012)
Евгеньевич, М. А., Lysenko, L. V., Andreeva, Y. V., & Сухов, А. Г. (2016) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-016-0389-4
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Gala, R. (2017) · Digital Repository Service (Northeastern University) · doi:10.17760/d20253061
Synchronous Oscillations Influenced by Synaptic Dynamics in Visual Cortical Column Model
Deng, B., Ren, Y., & Hong, C. (2019) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2019.8866307
Metadata
- Authors
- Lübke, J., & Feldmeyer, D.
- Affiliations
- Forschungszentrum Jülich (DE)
- Corresponding author
- Feldmeyer, Dirk
- Venue
- Brain Structure and Function
- Published
- 2007-06-01
- Volume
- 212
- Issue
- 1
- Pages
- 3-17
- ISSN
- 1863-2653 (ISSN-L)
- 1863-2661
- OpenAlex
- W1990931283
- Cited by
- 233
- References
- 129
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 11 · 2023: 4 · 2022: 13 · 2021: 9 · 2020: 9 · 2019: 11 · 2018: 9 · 2017: 14 · 2016: 8 · 2015: 16 · 2014: 15 · 2013: 19 · 2012: 15
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Brain Structure and Function (publishedVersion)
- PubMed (publishedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- 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 › Visual perception and processing mechanisms
- Keywords
- barrel cortex, cortical columns, neuronal connectivity, microcircuits, somatosensory cortex, synaptic transmission, horizontal connections, sensory signal processing
- MeSH terms
- Afferent Pathways, Animals, Humans, Nerve Net, Neural Pathways, Synaptic Transmission, Neurons, Afferent, Sensory Receptor Cells, Somatosensory Cortex, Pyramidal Cells, Ventral Thalamic Nuclei
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