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Bistability in the firing rate is a prominent feature in different types of neurons as well as in neural networks. We show that for a constant input below a critical… Click to show full abstract
Bistability in the firing rate is a prominent feature in different types of neurons as well as in neural networks. We show that for a constant input below a critical value, such bistability can lead to a giant spike-count diffusion. We study the transmission of a periodic signal and demonstrate that close to the critical bias current, the signal-to-noise ratio suffers a sharp increase, an effect that can be traced back to the giant diffusion and large Fano factor.
Keywords:
current giant;
critical current;
fano factor;
transmission
Journal Title: Physical review. E
Year Published: 2022
Link to full text (if available)
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Journal Title: Physical review. E
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!