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‐Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex
Open accessAbstract
Whole‐cell voltage recordings were made in vivo from excitatory neurons (n= 23) in layer 4 of the barrel cortex in urethane‐anaesthetised rats. Their receptive fields (RFs) for a brief whisker deflection were mapped, the position of the cell soma relative to barrel borders was determined for 15 cells and dendritic and axonal arbors were reconstructed for all cells. Three classes of neurons were identified: spiny stellate cells and pyramidal cells located in barrels and pyramidal cells located in septa. Dendritic and, with some exceptions, axonal arborisations of barrel cells were mostly restricted to the borders of a column with a cross sectional area of a barrel, defining a cytoarchitectonic barrel‐column. Dendrites and axons of septum cells, in contrast, mostly extended across barrel borders. The subthreshold RFs measured by evoked postsynaptic potentials (PSPs) comprised a principal whisker (PW) and several surround whiskers (SuWs) indicating that deflection of a single whisker is represented in multiple barrels and septa. Barrel cells responded with larger depolarisation to stimulation of the PW (13.7 ± 4.6 mV (mean ±S.D.), n= 10) than septum cells (5.7 ± 2.4 mV, n= 5), the gradient between peak responses to PW and SuW deflection was steeper and the latency of depolarisation onset was shorter (8 ± 1.4 ms vs. 11 ± 2 ms). In barrel cells the response onset and the peak to SuW deflection was delayed depending on the distance to the PW thus indicating that the spatial representation of a single whisker deflection in the barrel map is dynamic and varies on the scale of milliseconds to tens of milliseconds. Septum cells responded later and with comparable latencies to PW and SuW stimulation. Spontaneous (0.053 ± 0.12 action potentials (APs) s−1) and evoked APs (0.14 ± 0.29 APs per principal whisker (PW) stimulus) were sparse. We conclude that PSPs in ensembles of barrel cells represent dynamically the deflection of a single whisker with high temporal and spatial acuity, initially by the excitation in a single PW‐barrel followed by multi‐barrel excitation. This presumably reflects the divergence of thalamocortical projections to different barrels. Septum cell PSPs preferably represent multiple whisker deflections, but less dynamically and with less spatial acuity.
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Citations
Cites
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
Target-cell-specific facilitation and depression in neocortical circuits
Reyes, A., Lujan, R., Rozov, A., Burnashev, N., Somogyi, P., & Sakmann, B. (1998) · Nature Neuroscience · doi:10.1038/1092 · Cited by 716
Self-citationFeldmeyer, D., Egger, V., Lübke, J., & Sakmann, B. (1999) · The Journal of Physiology · doi:10.1111/j.1469-7793.1999.00169.x · Cited by 441
Self-citationCircuit dynamics and coding strategies in rodent somatosensory cortex
Pinto, D. J., Brumberg, J. C., & Simons, D. J. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.3.1158 · Cited by 239
Mouse SmI cortex: qualitative and quantitative classification of golgi-impregnated barrel neurons.
Woolsey, T. A., Dierker, M. L., & Wann, D. F. (1975) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.72.6.2165 · Cited by 203
Cited by
Sparse coding of sensory inputs
Olshausen, B. A., & Field, D. J. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.07.007 · Cited by 1,404
In vivo two-photon calcium imaging of neuronal networks
Stosiek, C., Garaschuk, O., Holthoff, K., & Konnerth, A. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1232232100 · Cited by 1,312
Flow of cortical activity underlying a tactile decision in mice
Guo, Z. V., Li, N., Huber, D., Ophir, E., Gutnisky, D., Ting, J. T., Feng, G., & Svoboda, K. (2014) · Neuron · doi:10.1016/j.neuron.2013.10.020 · Cited by 715
Cortex is driven by weak but synchronously active thalamocortical synapses
Bruno, R. M., & Sakmann, B. (2006) · Science · doi:10.1126/science.1124593 · Cited by 714
Self-citationSomatosensory integration controlled by dynamic thalamocortical feed-forward inhibition
Gabernet, L., Jadhav, S. P., Feldman, D. E., Carandini, M., & Scanziani, M. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.022 · Cited by 599
Silver, 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
Petersen, C. C. H., Grinvald, A., & Sakmann, B. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-04-01298.2003 · Cited by 422
Self-citationInternal Dynamics Determine the Cortical Response to Thalamic Stimulation
MacLean, J. N., Watson, B. O., Aaron, G. B., & Yuste, R. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.035 · Cited by 373
Experimental 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
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
“A current consensus is that trans-columnar processing plays generally a leading role in shaping excitatory and inhibitory parts of receptive fields (Moore and Nelson, 1998; Brecht and Sakmann, 2002a).”
BackgroundInfluentialSelf-citationDense connectomic reconstruction in layer 4 of the somatosensory cortex
Motta, A., Berning, M., Boergens, K. M., Staffler, B., Beining, M., Loomba, S., Hennig, P., Wissler, H., & Helmstaedter, M. (2019) · Science · doi:10.1126/science.aay3134 · Cited by 333
Circuit analysis of experience-dependent plasticity in the developing rat barrel cortex
Shepherd, G. M. G., Pologruto, T. A., & Svoboda, K. (2003) · Neuron · doi:10.1016/s0896-6273(03)00152-1 · Cited by 322
Feldmeyer, D., Lübke, J., & Sakmann, B. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.105106 · Cited by 314
Self-citationExcitatory neuronal connectivity in the barrel cortex
Feldmeyer, D. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00024 · Cited by 298
Brecht, M., Roth, A., & Sakmann, B. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2003.044222 · Cited by 295
Self-citationBalanced Excitation and Inhibition Determine Spike Timing during Frequency Adaptation
Higley, M. J., & Contreras, D. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3506-05.2006 · Cited by 270
Inhibitory 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-citationInterdigitated Paralemniscal and Lemniscal Pathways in the Mouse Barrel Cortex
Bureau, I., von Saint Paul, F., & Svoboda, K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040382 · Cited by 274
Parallel Thalamic Pathways for Whisking and Touch Signals in the Rat
Yu, C., Derdikman, D., Haidarliu, S., & Ahissar, E. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040124 · Cited by 260
Sparseness and Expansion in Sensory Representations
Babadi, B., & Sompolinsky, H. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.035 · Cited by 253
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
Circuit Mechanisms of Sensorimotor Learning
Makino, H., Hwang, E. J., Hedrick, N. G., & Komiyama, T. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.029 · Cited by 228
“…cortex (PFC), connections between inferior temporal cortex and PFC, and connections from the basal ganglia to the frontal cortex via thalamus, hippocampal formation, and fornix (Canavan et al., 1989; Gaffan and Harrison, 1988, 1989; Murray and Wise, 1996; Petrides, 1982; Rupniak and Gaffan, 1987).”
Staiger, J. F. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh029 · Cited by 226
Cell Type-Specific Circuits of Cortical Layer IV Spiny Neurons
Schubert, D., Kötter, R., Zilles, K., Luhmann, H. J., & Staiger, J. F. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-07-02961.2003 · Cited by 207
De Gois, S., Schäfer, M. K.-H., Defamie, N., Chen, C., Ricci, A., Weihe, E., Varoqui, H., & Erickson, J. D. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.5221-04.2005 · Cited by 192
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
Functionally distinct inhibitory neurons at the first stage of visual cortical processing
Hirsch, J. A., Martinez, L. M., Pillai, C., Alonso, J.-M., Wang, Q., & Sommer, F. T. (2003) · Nature Neuroscience · doi:10.1038/nn1152 · Cited by 176
A genuine layer 4 in motor cortex with prototypical synaptic circuit connectivity
Yamawaki, N., Borges, K., Suter, B. A., Harris, K. D., & Shepherd, G. M. G. (2014) · eLife · doi:10.7554/elife.05422 · Cited by 141
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
Koelbl, C., Helmstaedter, M., Lübke, J., & Feldmeyer, D. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht263 · Cited by 68
Metadata
- Authors
- Brecht, M., & Sakmann, B.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 2002-08
- Volume
- 543
- Issue
- 1
- Pages
- 49-70
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- OpenAlex
- W1974022877
- Cited by
- 344
- References
- 5
- FWCI
- 5.52
- Type
- journal article
- Language
- en
- Open access
- green
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