Signatures of hierarchical temporal processing in the mouse visual system
arXiv (Cornell University)(2023)
摘要
A core challenge for the brain is to process information across various
timescales. This could be achieved by a hierarchical organization of temporal
processing through intrinsic mechanisms (e.g., recurrent coupling or
adaptation), but recent evidence from spike recordings of the rodent visual
system seems to conflict with this hypothesis. Here, we used an optimized
information-theoretic and classical autocorrelation analysis to show that
information- and intrinsic timescales of spiking activity increase along the
anatomical hierarchy of the mouse visual system, while information-theoretic
predictability decreases. Moreover, the timescale hierarchy was invariant to
the stimulus condition, whereas the decrease in predictability was strongest
under natural movie stimulation. We could reproduce this effect in a basic
recurrent network model with correlated sensory input. Our findings suggest
that the rodent visual system indeed employs intrinsic mechanisms to achieve
longer integration for higher cortical areas, while simultaneously reducing
predictability for an efficient neural code.
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关键词
hierarchical temporal processing,mouse
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