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. 2017 Apr 4:11:15.
doi: 10.3389/fnsys.2017.00015. eCollection 2017.

Cortical Variability and Challenges for Modeling Approaches

Emili Balaguer-Ballester  1   2
Affiliations

Cortical Variability and Challenges for Modeling Approaches

Emili Balaguer-Ballester. Front Syst Neurosci. .
No abstract available

Keywords: cortical variability; excitation-inhibition balance; metastability; neuronal variability; recurrent networks; trial to trial variability.

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Figures

Figure 1
Figure 1
Three dimensions in models of neuronal variability. The diamond shows an example of a spiking model with random connectivity and a tight Excitation/Inhibition (E/I) balance as in Renart et al., ; the circle represents a substantially different modeling choice such as in Hartmann et al., . A range of modeling approaches typically fall between these two examples (triangles); such as semi-structured connectivity architectures which modulate the E/I balanced dynamics in realistic networks (Litwin-Kumar and Doiron, ; Landau et al., 2016).
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