The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Dynamic Receptive Fields of Reconstructed Pyramidal Cells in Layers 3 and 2 of Rat Somatosensory Barrel Cortex
Open accessAbstract
Whole‐cell voltage recordings were made in vivo from subsequently reconstructed pyramidal neurons (n= 30) in layer 3 (L3) and layer 2 (L2) of the barrel cortex of urethane‐anaesthetised rats. Average resting membrane potentials were well below (15−40 mV) action potential (AP) initiation threshold. The average spontaneous AP activity (0.068 ± 0.22 APs s−1) was low. Principal whisker (PW) deflections evoked postsynaptic potentials (PSPs) in almost all cells of a PW column but evoked AP activity (0.031 ± 0.056 APs per PW stimulus 6 deg deflection) was low indicating ‘sparse’ coding by APs. Barrel‐related cells (n= 16) have their soma located above a barrel and project their main axon through the barrel whereas septum‐related cells (n= 8) are located above and project their main axon through the septum between barrels. Both classes of cell had broad subthreshold receptive fields (RFs) which comprised a PW and several (> 8) surround whiskers (SuW). Barrel‐related cells had shorter PSP onset latencies (9.6 ± 4.6 ms) and larger amplitude PW stimulus responses (9.1 ± 4.5 mV) than septum‐related cells (23.3 ± 16.5 ms and 5.0 ± 2.8 mV, respectively). The dendritic fields of barrel‐related cells were restricted, in the horizontal plane, to the PW column width. Their axonal arbors projected horizontally into several SuW columns, preferentially those representing whiskers of the same row, suggesting that they are the major anatomical substrate for the broad subthreshold RFs. In barrel‐related cells the response time course varied with whisker position and subthreshold RFs were highly dynamic, expanding in size from narrow single‐whisker to broad multi‐whisker RFs, elongated along rows within 10‐150 ms following a deflection. The response time course in septum‐related cells was much longer and almost independent of whisker position. Their broad subthreshold RF suggests that L2/3 cells integrate PSPs from several barrel columns. We conclude that the lemniscal (barrel‐related) and paralemniscal (septum‐related) afferent inputs remain anatomically and functionally segregated in L2/3.
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
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
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
The NEURON Simulation Environment
Hines, M. L., & Carnevale, N. T. (1997) · Neural Computation · doi:10.1162/neco.1997.9.6.1179 · Cited by 2,658
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 2,400
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
Shadlen, M. N., & Newsome, W. T. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03870.1998 · Cited by 2,178
Wong-Riley, M. (1979) · Brain Research · doi:10.1016/0006-8993(79)90728-5 · Cited by 1,858
Whole cell recording from neurons in slices of reptilian and mammalian cerebral cortex
Blanton, M. G., Lo Turco, J. J., & Kriegstein, A. R. (1989) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(89)90131-3 · Cited by 944
Horikawa, K., & Armstrong, W. E. (1988) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(88)90114-8 · Cited by 881
Analysis of Sniffing of the Albino Rat 1)
Welker, W. I. (1964) · Behaviour · doi:10.1163/156853964x00030 · Cited by 833
Biometric analyses of vibrissal tactile discrimination in the rat
Carvell, G., & Simons, D. (1990) · The Journal of Neuroscience · doi:10.1523/jneurosci.10-08-02638.1990 · Cited by 817
Cited by
Pyramidal neurons: dendritic structure and synaptic integration
Spruston, N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2286 · Cited by 1,688
Modulation 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
“A particular concern about anesthesia is raised by recent studies in rodents, which have found much lower firing rates than are often observed in other mammals (Brecht et al., 2003; Kerr et al., 2007; Niell and Stryker, 2008).”
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
The Functional Organization of the Barrel Cortex
Petersen, C. C. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.09.017 · Cited by 732
Spatiotemporal Dynamics of Cortical Sensorimotor Integration in Behaving Mice
Ferezou, I., Haiss, F., Gentet, L. J., Aronoff, R., Weber, B., & Petersen, C. C. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.007 · Cited by 697
Dittgen, T., Nimmerjahn, A., Komai, S., Licznerski, P., Waters, J., Margrie, T. W., Helmchen, F., Denk, W., Brecht, M., & Osten, P. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407976101 · Cited by 485
Self-citationSilver, R. A. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2864 · Cited by 481
Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice
O'Connor, D. H., Peron, S. P., Huber, D., & Svoboda, K. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.026 · Cited by 469
Ferezou, I., Bolea, S., & Petersen, C. C. H. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.043 · Cited by 466
Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex
Kapfer, C., Glickfeld, L. L., Atallah, B. V., & Scanziani, M. (2007) · Nature Neuroscience · doi:10.1038/nn1909 · Cited by 427
Spine Ca2+Signaling in Spike-Timing-Dependent Plasticity
Nevian, T., & Sakmann, B. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1749-06.2006 · Cited by 458
Self-citationExperimental evidence for sparse firing in the neocortex
Barth, A. L., & Poulet, J. F. A. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.03.008 · Cited by 364
Inhibition, Spike Threshold, and Stimulus Selectivity in Primary Visual Cortex
Priebe, N. J., & Ferster, D. (2008) · Neuron · doi:10.1016/j.neuron.2008.02.005 · Cited by 357
Feldmeyer, D., Brecht, M., Helmchen, F., Petersen, C. C. H., Poulet, J. F. A., Staiger, J. F., Luhmann, H. J., & Schwarz, C. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.11.002 · Cited by 354
“subfields are generated by intracortical mechanisms (Carvell and Simons, 1988; Moore and Nelson, 1998; Schubert et al., 2001, 2003; Brecht et al., 2003; Manns et al., 2004).”
BackgroundInfluentialSelf-citationLong‐range connectivity of mouse primary somatosensory barrel cortex
Aronoff, R., Matyas, F., Mateo, C., Ciron, C., Schneider, B., & Petersen, C. C. H. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07264.x · Cited by 323
Feldmeyer, D., Lübke, J., & Sakmann, B. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.105106 · Cited by 314
Self-citationInternally Mediated Developmental Desynchronization of Neocortical Network Activity
Golshani, P., Gonçalves, J. T., Khoshkhoo, S., Mostany, R., Smirnakis, S., & Portera-Cailliau, C. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2012-09.2009 · Cited by 298
Sensory-evoked LTP driven by dendritic plateau potentials in vivo
Gambino, F., Pagès, S., Kehayas, V., Baptista, D., Tatti, R., Carleton, A., & Holtmaat, A. (2014) · Nature · doi:10.1038/nature13664 · Cited by 253
Dimensions of a projection column and architecture of VPM and POm axons in rat vibrissal cortex
Wimmer, V. C., Bruno, R. M., de Kock, C. P. J., Kuner, T., & Sakmann, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq068 · Cited by 263
Self-citationInhibitory interneurons in a cortical column form hot zones of inhibition in layers 2 and 5A
Meyer, H. S., Schwarz, D., Wimmer, V. C., Schmitt, A. C., Kerr, J. N. D., Sakmann, B., & Helmstaedter, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113648108 · Cited by 254
Self-citationSpatial Organization of Neuronal Population Responses in Layer 2/3 of Rat Barrel Cortex
Kerr, J. N. D., de Kock, C. P. J., Greenberg, D. S., Bruno, R. M., Sakmann, B., & Helmchen, F. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2210-07.2007 · Cited by 255
Self-citationAn embedded subnetwork of highly active neurons in the neocortex
Yassin, L., Benedetti, B. L., Jouhanneau, J.-S., Wen, J. A., Poulet, J. F. A., & Barth, A. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.029 · Cited by 227
Excitatory signal flow and connectivity in a cortical column: focus on barrel cortex.
Lübke, J., & Feldmeyer, D. (2007) · Brain Structure and Function · doi:10.1007/s00429-007-0144-2 · Cited by 233
Serino, A., & Haggard, P. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.04.004 · Cited by 212
Receptive field structure varies with layer in the primary visual cortex
Martinez, L. M., Wang, Q., Reid, R. C., Pillai, C., Alonso, J.-M., Sommer, F. T., & Hirsch, J. A. (2005) · Nature Neuroscience · doi:10.1038/nn1404 · Cited by 203
Reorganization of cortical population activity imaged throughout long-term sensory deprivation
Margolis, D. J., Lütcke, H., Schulz, K., Haiss, F., Weber, B., Kügler, S., Hasan, M. T., & Helmchen, F. (2012) · Nature Neuroscience · doi:10.1038/nn.3240 · Cited by 203
Neuronal circuits in barrel cortex for whisker sensory perception
Staiger, J. F., & Petersen, C. C. H. (2021) · Physiological Reviews · doi:10.1152/physrev.00019.2019 · Cited by 165
Sleep-stage-specific regulation of cortical excitation and inhibition
Niethard, N., Hasegawa, M., Itokazu, T., Oyanedel, C. N., Born, J., & Sato, T. R. (2016) · Current Biology · doi:10.1016/j.cub.2016.08.035 · Cited by 140
Feldmeyer, D., Roth, A., & Sakmann, B. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.5227-04.2005 · Cited by 146
Self-citationZhu, Y., Stornetta, R. L., & Zhu, J. J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.0544-04.2004 · Cited by 125
Laminar processing in the visual cortical column.
Hirsch, J. A., & Martinez, L. M. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.06.014 · Cited by 120
Lee, A. J., Wang, G., Jiang, X., Johnson, S. M., Hoang, E. T., Lanté, F., Stornetta, R. L., Beenhakker, M. P., Shen, Y., & Julius Zhu, J. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu020 · Cited by 94
Behaviorally relevant decision coding in primary somatosensory cortex neurons
Buetfering, C., Zhang, Z., Pitsiani, M., Smallridge, J., Boven, E., McElligott, S., & Häusser, M. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01151-0 · Cited by 59
Niethard, N., Brodt, S., & Born, J. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1957-20.2021 · Cited by 46
Neural ensembles: role of intrinsic excitability and its plasticity
Hansel, C., & Yuste, R. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1440588 · Cited by 33
Metadata
- Authors
- Brecht, M., Roth, A., & Sakmann, B.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 2003-11
- Volume
- 553
- Issue
- 1
- Pages
- 243-265
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- OpenAlex
- W2066127990
- Cited by
- 295
- References
- 42
- FWCI
- 6.47
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
