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Global, multiplexed dendritic computations under in vivo-like conditions

View ORCID ProfileBalázs B Ujfalussy, View ORCID ProfileMáté Lengyel, View ORCID ProfileTiago Branco
doi: https://doi.org/10.1101/235259
Balázs B Ujfalussy
1MRC Laboratory of Molecular Biology, Cambridge, UK
2Lendület Laboratory of Neuronal Signaling, Institute of Experimental Medicine, Budapest, Hungary
3Computational and Biological Learning Lab, Dept. of Engineering, University of Cambridge, UK
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  • For correspondence: balazs.ujfalussy@gmail.com
Máté Lengyel
3Computational and Biological Learning Lab, Dept. of Engineering, University of Cambridge, UK
4Department of Cognitive Science, Central European University, Budapest, Hungary
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Tiago Branco
1MRC Laboratory of Molecular Biology, Cambridge, UK
5Sainsbury Wellcome Centre, University College London,UK
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Abstract

Dendrites integrate inputs in highly non-linear ways, but it is unclear how these non-linearities contribute to the overall input-output transformation of single neurons. Here, we developed statistically principled methods using a hierarchical cascade of linear-nonlinear subunits (hLN) to model the dynamically evolving somatic response of neurons receiving complex spatio-temporal synaptic input patterns. We used the hLN to predict the membrane potential of a detailed biophysical model of a L2/3 pyramidal cell receiving in vivo-like synaptic input and reproducing in vivo dendritic recordings. We found that more than 90% of the somatic response could be captured by linear integration followed a single global non-linearity. Multiplexing inputs into parallel processing channels could improve prediction accuracy by as much as additional layers of local non-linearities. These results provide a data-driven characterisation of a key building block of cortical circuit computations: dendritic integration and the input-output transformation of single neurons during in vivo-like conditions.

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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. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 16, 2017.
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Global, multiplexed dendritic computations under in vivo-like conditions
Balázs B Ujfalussy, Máté Lengyel, Tiago Branco
bioRxiv 235259; doi: https://doi.org/10.1101/235259
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Global, multiplexed dendritic computations under in vivo-like conditions
Balázs B Ujfalussy, Máté Lengyel, Tiago Branco
bioRxiv 235259; doi: https://doi.org/10.1101/235259

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