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  The Optimal State for Computation Changes Depending on the Available Processing time

Azizpour, S., Zierenberg, J., Priesemann, V., & Levina, A. (2022). The Optimal State for Computation Changes Depending on the Available Processing time. Poster presented at FENS Forum 2022, Paris, France.

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Azizpour, S, Author
Zierenberg, J, Author
Priesemann, V, Author
Levina, A1, Author           
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1External Organizations, ou_persistent22              

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 Abstract: Common estimates of information processing capabilities such as the dynamic range are defined in terms of expected values that do not incorporate effects from finite processing time. However, in real-world tasks, animals and humans have only a limited amount of time to process input and make a decision. Here, using a stochastic neural network with integrate-and-fire units as an example, we propose new definitions for dynamic range and perceptual resolution that explicitly include uncertainty arising from the finite processing time. We evaluate these measures both analytically and using simulations and find that the network's ability to discriminate inputs within a finite time is maximized in a subcritical regime. Interestingly, with a longer processing time, the optimal regime moves closer to criticality (Fig.1d-e). This result highlights the importance of incorporating the constraints of finite processing time when studying the information processing capacity of any system in noisy real-world situations. (for a decent-quality figure visit https://www.dropbox.com/s/d7fazthbgoa1hr5/FENS_highQuality.png?dl=0)

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 Dates: 2022-07
 Publication Status: Published online
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Title: FENS Forum 2022
Place of Event: Paris, France
Start-/End Date: 2022-07-09 - 2022-07-13

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Title: FENS Forum 2022
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: S02-579 Start / End Page: 2064 Identifier: -