CoChat
Sign Up
Cited by 151

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

An exact method to quantify the information transmitted by different mechanisms of correlational coding

Pola, G, Thiele, A, Hoffmann, K-P, Panzeri, S·2003·Network: Computation in Neural Systems
DOI 10.1088/0954-898x/14/1/303
Open this paper in CoChat — free account

Abstract

We derive a new method to quantify the impact of correlated firing on the information transmitted by neuronal populations. This new method considers, in an exact way, the effects of high order spike train statistics, with no approximation involved, and it generalizes our previous work that was valid for short time windows and small populations. The new technique permits one to quantify the information transmitted if each cell were to convey fully independent information separately from the information available in the presence of synergy-redundancy effects. Synergy-redundancy effects are shown to arise from three possible contributions: a redundant contribution due to similarities in the mean response profiles of different cells; a synergistic stimulus-dependent correlational contribution quantifying the information content of changes of correlations with stimulus, and a stimulus-independent correlational contribution term that reflects interactions between the distribution of rates of individual cells and the average level of cross-correlation. We apply the new method to simultaneously recorded data from somatosensory and visual cortices. We demonstrate that it constitutes a reliable tool to determine the role of cross-correlated activity in stimulus coding even when high firing rate data (such as multi-unit recordings) are considered.

Overview

Integrity signals

Registry

Crossref · 10.1088/0954-898x/14/1/303

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Show all 3 references

Research works printed but not linked: 33

  1. 10.1162/089976699300016827 · DOI
  2. Aertsen A M H J, 1989, J. Neurophysiol., 61, 900, 10.1152/jn.1989.61.5.900 · DOI
  3. Bair W, 2001, J. Neurosci., 21, 1676, 10.1523/JNEUROSCI.21-05-01676.2001 · DOI
  4. 10.1162/089976699300016133 · DOI
  5. deCharms R C, 1996, Nature, 381, 610, 10.1038/381610a0 · DOI
  6. de Oliveira S C, 1997, J. Neurosci., 17, 9248, 10.1523/JNEUROSCI.17-23-09248.1997 · DOI
  7. DeWeese M, 1996, Network: Comput. Neural Syst., 7, 325, 10.1088/0954-898X/7/2/013 · DOI
  8. 10.1073/pnas.94.23.12699 · DOI
  9. Gawne T J, 1993, J. Neurosci., 13, 2758, 10.1523/JNEUROSCI.13-07-02758.1993 · DOI
  10. 10.1038/24608 · DOI
  11. 10.1016/S0165-0270(99)00131-4 · DOI
  12. 10.1093/cercor/10.1.23 · DOI
  13. Mastronarde D N, 1983, J. Neurophysiol., 49, 303, 10.1152/jn.1983.49.2.303 · DOI
  14. 10.1162/08997660260293238 · DOI
  15. 10.1038/35079612 · DOI
  16. 10.1016/S0959-4388(98)80036-6 · DOI
  17. Oram M W, 2001, J. Neurophysiol., 86, 1700, 10.1152/jn.2001.86.4.1700 · DOI
  18. 10.1016/S0166-2236(97)01216-2 · DOI
  19. Panzeri S, 2001, Neuron, 29, 769, 10.1016/S0896-6273(01)00251-3 · DOI
  20. 10.1162/08997660152002870 · DOI
  21. 10.1098/rspb.1999.0736 · DOI
  22. Panzeri S, 1996, Network: Comput. Neural Syst., 7, 87, 10.1088/0954-898X/7/1/006 · DOI
  23. Petersen R S, 2001, Neuron, 32, 503, 10.1016/S0896-6273(01)00481-0 · DOI
  24. 10.1126/science.1065839 · DOI
  25. 10.1103/PhysRevLett.86.5823 · DOI
  26. Shadlen M N, 1999, Neuron, 24, 67, 10.1016/S0896-6273(00)80822-3 · DOI · Paper page
  27. Shannon C E, 1948, AT&T Bell Labs. Tech. J., 27, 379, 10.1002/j.1538-7305.1948.tb01338.x · DOI · Paper page
  28. 10.1103/PhysRevLett.80.197 · DOI · Paper page
  29. 10.1046/j.1460-9568.1999.00630.x · DOI
  30. 10.1162/089976600300014728 · DOI
  31. Victor J D, 2002, Phys. Rev.
  32. 10.1073/pnas.96.3.1106 · DOI
  33. 10.1162/089976601300014349 · DOI

Cited by

Sorted by citations

Metadata

Authors
Pola, G., Thiele, A., Hoffmann, K.-P., & Panzeri, S.
Venue
Network: Computation in Neural Systems
Publisher
Informa UK Limited
Published
2003-01-16
Volume
14
Issue
1
Pages
35-60
ISSN
0954-898X
DOI
10.1088/0954-898x/14/1/303
Cited by
151
References
3

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