Cargando…
Temporal pairwise spike correlations fully capture single-neuron information
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 complet...
Autores principales: | Dettner, Amadeus, Münzberg, Sabrina, Tchumatchenko, Tatjana |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5171810/ https://www.ncbi.nlm.nih.gov/pubmed/27976717 http://dx.doi.org/10.1038/ncomms13805 |
Ejemplares similares
-
Signatures of Synchrony in Pairwise Count Correlations
por: Tchumatchenko, Tatjana, et al.
Publicado: (2010) -
Spike-frequency adaptation inhibits the pairwise spike correlation
por: Wang, Jixuan, et al.
Publicado: (2023) -
Spike Correlations – What Can They Tell About Synchrony?
por: Tchumatchenko, Tatjana, et al.
Publicado: (2011) -
Nonlinear response characteristics of neural networks and single neurons undergoing optogenetic excitation
por: Luboeinski, Jannik, et al.
Publicado: (2020) -
Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions
por: Momeni, Babak, et al.
Publicado: (2017)