CoChat
Sign Up
Cited by 230

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Synaptic diversity enables temporal coding of coincident multisensory inputs in single neurons

Chabrol, François P, Arenz, Alexander, Wiechert, Martin T, Margrie, Troy W, DiGregorio, David A·2015·Nature Neuroscience
DOI 10.1038/nn.3974PMC PMC4413433
Open this paper in CoChat — free account

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nn.3974

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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.

Citations

Cites

Show all 7 references

Research works printed but not linked: 56

  1. Fetsch, C.R., DeAngelis, G.C. & Angelaki, D.E. Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons. Nat. Rev. Neurosci. 14, 429–442 (2013). · DOI
  2. Olcese, U., Iurilli, G. & Medini, P. Cellular and synaptic architecture of multisensory integration in the mouse neocortex. Neuron 79, 579–593 (2013). · DOI
  3. Xu, N.L. et al. Nonlinear dendritic integration of sensory and motor input during an active sensing task. Nature 492, 247–251 (2012). · DOI
  4. Alvarado, J.C., Stanford, T.R., Rowland, B.A., Vaughan, J.W. & Stein, B.E. Multisensory integration in the superior colliculus requires synergy among corticocollicular inputs. J. Neurosci. 29, 6580–6592 (2009). · DOI
  5. Reig, R. & Silberberg, G. Multisensory integration in the mouse striatum. Neuron 83, 1200–1212 (2014). · DOI
  6. Yakusheva, T.A., Blazquez, P.M., Chen, A. & Angelaki, D.E. Spatiotemporal properties of optic flow and vestibular tuning in the cerebellar nodulus and uvula. J. Neurosci. 33, 15145–15160 (2013). · DOI
  7. Stein, B.E. & Stanford, T.R. Multisensory integration: current issues from the perspective of the single neuron. Nat. Rev. Neurosci. 9, 255–266 (2008). · DOI · Paper page
  8. Chacron, M.J., Toporikova, N. & Fortune, E.S. Differences in the time course of short-term depression across receptive fields are correlated with directional selectivity in electrosensory neurons. J. Neurophysiol. 102, 3270–3279 (2009). · DOI
  9. Katz, Y., Heiss, J.E. & Lampl, I. Cross-whisker adaptation of neurons in the rat barrel cortex. J. Neurosci. 26, 13363–13372 (2006). · DOI
  10. Stoelzel, C.R., Bereshpolova, Y., Gusev, A.G. & Swadlow, H.A. The impact of an LGNd impulse on the awake visual cortex: synaptic dynamics and the sustained/transient distinction. J. Neurosci. 28, 5018–5028 (2008). · DOI
  11. Sherman, S.M. & Guillery, R.W. Distinct functions for direct and transthalamic corticocortical connections. J. Neurophysiol. 106, 1068–1077 (2011). · DOI · Paper page
  12. Mauk, M.D. & Buonomano, D.V. The neural basis of temporal processing. Annu. Rev. Neurosci. 27, 307–340 (2004). · DOI · Paper page
  13. Billings, G., Piasini, E., Lorincz, A., Nusser, Z. & Silver, R.A. Network structure within the cerebellar input layer enables lossless sparse encoding. Neuron 83, 960–974 (2014). · DOI
  14. Buonomano, D.V. & Maass, W. State-dependent computations: spatiotemporal processing in cortical networks. Nat. Rev. Neurosci. 10, 113–125 (2009). · DOI
  15. Sargent, P.B., Saviane, C., Nielsen, T.A., DiGregorio, D.A. & Silver, R.A. Rapid vesicular release, quantal variability and spillover contribute to the precision and reliability of transmission at a glomerular synapse. J. Neurosci. 25, 8173–8187 (2005). · DOI
  16. Arenz, A., Silver, R.A., Schaefer, A.T. & Margrie, T.W. The contribution of single synapses to sensory representation in vivo. Science 321, 977–980 (2008). · DOI
  17. Jörntell, H. & Ekerot, C.F. Properties of somatosensory synaptic integration in cerebellar granule cells in vivo. J. Neurosci. 26, 11786–11797 (2006). · DOI
  18. Rothman, J.S., Cathala, L., Steuber, V. & Silver, R.A. Synaptic depression enables neuronal gain control. Nature 457, 1015–1018 (2009). · DOI
  19. Saviane, C. & Silver, R.A. Fast vesicle reloading and a large pool sustain high bandwidth transmission at a central synapse. Nature 439, 983–987 (2006). · DOI · Paper page
  20. Barmack, N.H. Central vestibular system: vestibular nuclei and posterior cerebellum. Brain Res. Bull. 60, 511–541 (2003). · DOI
  21. Dale, A. & Cullen, K.E. The nucleus prepositus predominantly outputs eye movement-related information during passive and active self-motion. J. Neurophysiol. 109, 1900–1911 (2013). · DOI
  22. Sawtell, N.B. Multimodal integration in granule cells as a basis for associative plasticity and sensory prediction in a cerebellum-like circuit. Neuron 66, 573–584 (2010). · DOI
  23. Huang, C.C. et al. Convergence of pontine and proprioceptive streams onto multimodal cerebellar granule cells. Elife 2, e00400 (2013). · DOI
  24. Blackman, A.V., Abrahamsson, T., Costa, R.P., Lalanne, T. & Sjostrom, P.J. Target-cell-specific short-term plasticity in local circuits. Front. Synaptic Neurosci. 5, 11 (2013). · DOI
  25. Duguid, I., Branco, T., London, M., Chadderton, P. & Hausser, M. Tonic inhibition enhances fidelity of sensory information transmission in the cerebellar cortex. J. Neurosci. 32, 11132–11143 (2012). · DOI
  26. Park, H.J., Lasker, D.M. & Minor, L.B. Static and dynamic discharge properties of vestibular-nerve afferents in the mouse are affected by core body temperature. Exp. Brain Res. 200, 269–275 (2010). · DOI
  27. Sadeghi, S.G., Chacron, M.J., Taylor, M.C. & Cullen, K.E. Neural variability, detection thresholds, and information transmission in the vestibular system. J. Neurosci. 27, 771–781 (2007). · DOI
  28. Medrea, I. & Cullen, K.E. Multisensory integration in early vestibular processing in mice: the encoding of passive vs. active motion. J. Neurophysiol. 110, 2704–2717 (2013). · DOI
  29. Medina, J.F. & Mauk, M.D. Computer simulation of cerebellar information processing. Nat. Neurosci. 3, 1205–1211 (2000). · DOI
  30. Zucker, R.S. & Regehr, W.G. Short-term synaptic plasticity. Annu. Rev. Physiol. 64, 355–405 (2002). · DOI · Paper page
  31. Sola, E., Prestori, F., Rossi, P., Taglietti, V. & D'Angelo, E. Increased neurotransmitter release during long-term potentiation at mossy fibre-granule cell synapses in rat cerebellum. J. Physiol. (Lond.) 557, 843–861 (2004). · DOI
  32. Barmack, N.H. & Yakhnitsa, V. Functions of interneurons in mouse cerebellum. J. Neurosci. 28, 1140–1152 (2008). · DOI
  33. Arenz, A., Bracey, E.F. & Margrie, T.W. Sensory representations in cerebellar granule cells. Curr. Opin. Neurobiol. 19, 445–451 (2009). · DOI
  34. Laurens, J., Meng, H. & Angelaki, D.E. Neural representation of orientation relative to gravity in the macaque cerebellum. Neuron 80, 1508–1518 (2013). · DOI
  35. Brooks, J.X. & Cullen, K.E. The primate cerebellum selectively encodes unexpected self-motion. Curr. Biol. 23, 947–955 (2013). · DOI · Paper page
  36. Kennedy, A. et al. A temporal basis for predicting the sensory consequences of motor commands in an electric fish. Nat. Neurosci. 17, 416–422 (2014). · DOI
  37. Steuber, V. et al. Cerebellar LTD and pattern recognition by Purkinje cells. Neuron 54, 121–136 (2007). · DOI
  38. Babadi, B. & Sompolinsky, H. Sparseness and expansion in sensory representations. Neuron 83, 1213–1226 (2014). · DOI
  39. van Dorp, S. & De Zeeuw, C.I. Variable timing of synaptic transmission in cerebellar unipolar brush cells. Proc. Natl. Acad. Sci. USA 111, 5403–5408 (2014). · DOI
  40. Bengtsson, F. & Jorntell, H. Sensory transmission in cerebellar granule cells relies on similarly coded mossy fiber inputs. Proc. Natl. Acad. Sci. USA 106, 2389–2394 (2009). · DOI
  41. Prsa, M., Dash, S., Catz, N., Dicke, P.W. & Thier, P. Characteristics of responses of Golgi cells and mossy fibers to eye saccades and saccadic adaptation recorded from the posterior vermis of the cerebellum. J. Neurosci. 29, 250–262 (2009). · DOI
  42. Díaz-Quesada, M., Martini, F.J., Ferrati, G., Bureau, I. & Maravall, M. Diverse thalamocortical short-term plasticity elicited by ongoing stimulation. J. Neurosci. 34, 515–526 (2014). · DOI
  43. Barry, C. & Burgess, N. Neural mechanisms of self-location. Curr. Biol. 24, R330–R339 (2014). · DOI
  44. Chadderton, P., Schaefer, A.T., Williams, S.R. & Margrie, T.W. Sensory-evoked synaptic integration in cerebellar and cerebral cortical neurons. Nat. Rev. Neurosci. 15, 71–83 (2014). · DOI
  45. Cossell, L. et al. Functional organization of excitatory synaptic strength in primary visual cortex. Nature 518, 399–403 (2015). · DOI
  46. D'Angelo, E., De Filippi, G., Rossi, P. & Taglietti, V. Synaptic excitation of individual rat cerebellar granule cells in situ: evidence for the role of NMDA receptors. J. Physiol. (Lond.) 484, 397–413 (1995). · DOI
  47. Cathala, L., Brickley, S., Cull-Candy, S. & Farrant, M. Maturation of EPSCs and intrinsic membrane properties enhances precision at a cerebellar synapse. J. Neurosci. 23, 6074–6085 (2003). · DOI
  48. Traynelis, S.F. Software-based correction of single compartment series resistance errors. J. Neurosci. Methods 86, 25–34 (1998). · DOI
  49. Hartigan, J.A. Clustering algorithms. (Wiley, 1973). · DOI
  50. Silver, R.A. Estimation of nonuniform quantal parameters with multiple-probability fluctuation analysis: theory, application and limitations. J. Neurosci. Methods 130, 127–141 (2003). · DOI
  51. Margrie, T.W., Brecht, M. & Sakmann, B. In vivo, low-resistance, whole-cell recordings from neurons in the anaesthetized and awake mammalian brain. Pflugers Arch. 444, 491–498 (2002). · DOI
  52. Calabrese, D.R. & Hullar, T.E. Planar relationships of the semicircular canals in two strains of mice. J. Assoc. Res. Otolaryngol. 7, 151–159 (2006). · DOI
  53. Cathala, L., Misra, C. & Cull-Candy, S. Developmental profile of the changing properties of NMDA receptors at cerebellar mossy fiber-granule cell synapses. J. Neurosci. 20, 5899–5905 (2000). · DOI
  54. DiGregorio, D.A., Nusser, Z. & Silver, R.A. Spillover of glutamate onto synaptic AMPA receptors enhances fast transmission at a cerebellar synapse. Neuron 35, 521–533 (2002). · DOI
  55. Jortner, R.A., Farivar, S.S. & Laurent, G. A simple connectivity scheme for sparse coding in an olfactory system. J. Neurosci. 27, 1659–1669 (2007). · DOI
  56. Wiechert, M.T., Judkewitz, B., Riecke, H. & Friedrich, R.W. Mechanisms of pattern decorrelation by recurrent neuronal circuits. Nat. Neurosci. 13, 1003–1010 (2010). · DOI

Cited by

Sorted by citations

Metadata

Authors
Chabrol, F. P., Arenz, A., Wiechert, M. T., Margrie, T. W., & DiGregorio, D. A.
Venue
Nature Neuroscience
Publisher
Springer Science and Business Media LLC
Published
2015-03-30
Volume
18
Issue
5
Pages
718-727
ISSN
  • 1097-6256
  • 1546-1726
DOI
10.1038/nn.3974
PMC
PMC4413433
Cited by
230
References
7
Language
en
Licence

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