TY  - JOUR
A1  - Dettner, Amadeus
A1  - Münzberg, Sabrina
A1  - Tchumatchenko, Tatjana
T1  - Temporal pairwise spike correlations fully capture single-neuron information
T2  - Nature Communications
N2  - To crack the neural code and read out the information neural spikes convey, it is essential to understand how the information is coded and how much of it is available for decoding. To this end, it is indispensable to derive from first principles a minimal set of spike features containing the complete information content of a neuron. Here we present such a complete set of coding features. We show that temporal pairwise spike correlations fully determine the information conveyed by a single spiking neuron with finite temporal memory and stationary spike statistics. We reveal that interspike interval temporal correlations, which are often neglected, can significantly change the total information. Our findings provide a conceptual link between numerous disparate observations and recommend shifting the focus of future studies from addressing firing rates to addressing pairwise spike correlation functions as the primary determinants of neural information.
KW  - Neural encoding
KW  - Sensory processing
Y1  - 2016
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/47708
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-477081
SN  - 2041-1723
N1  - Rights and permissions: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
VL  - 7
IS  - Art. 13805
SP  - 1
EP  - 11
PB  - Nature Publishing Group UK
CY  - [London]
ER  -