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Event-based pattern detection in active dendrites

View ORCID ProfileJohannes Leugering, View ORCID ProfilePascal Nieters, View ORCID ProfileGordon Pipa
doi: https://doi.org/10.1101/690792
Johannes Leugering
Osnabrück University, Germany
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  • For correspondence: jleugeri@uos.de
Pascal Nieters
Osnabrück University, Germany
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Gordon Pipa
Osnabrück University, Germany
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Abstract

Many behavioural tasks require an animal to integrate information on a slow timescale that can exceed hundreds of milliseconds. How this is realized by neurons with membrane time constants on the order of tens of milliseconds or less remains an open question. We show, how the interaction of two kinds of events within the dendritic tree, excitatory postsynaptic potentials and locally generated dendritic plateau potentials, can allow a single neuron to detect specific sequences of spiking input on such slow timescales. Our conceptual model reveals, how the morphology of a neuron’s dendritic tree determines its computational function, which can range from a simple logic gate to the gradual integration of evidence to the detection of complex spatio-temporal spike-sequences on long time-scales. As an example, we illustrate in a simulated navigation task how this mechanism can even allow individual neurons to reliably detect specific movement trajectories with high tolerance for timing variability. We relate our results to conclusive findings in neurobiology and discuss implications for both experimental and theoretical neuroscience.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • jleugeri{at}uni-osnabrueck.de, pnieters{at}uni-osnabrueck.de, gpipa{at}uni-osnabrueck.de

  • Major revision.

  • https://github.com/jleugeri/ADSP.jl

  • 2 Unlike EPSPs, this attenuation cannot be circumvented by synaptic scaling as for dendritic democracy.

  • 3 As the last equation shows, referring to this operation as an “or” is justified in the sense that the resulting rate is proportional to the addition of the segments’ individual plateau-firing-rates minus the “and” operation applied to both, which generalizes the Boolean operation to real values.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted August 07, 2020.
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Event-based pattern detection in active dendrites
Johannes Leugering, Pascal Nieters, Gordon Pipa
bioRxiv 690792; doi: https://doi.org/10.1101/690792
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Event-based pattern detection in active dendrites
Johannes Leugering, Pascal Nieters, Gordon Pipa
bioRxiv 690792; doi: https://doi.org/10.1101/690792

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