Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies.

Autor: Reimann MW; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland., Riihimäki H; University of Aberdeen, Aberdeen, United Kingdom., Smith JP; University of Aberdeen, Aberdeen, United Kingdom.; Nottingham Trent University, Nottingham, United Kingdom., Lazovskis J; University of Aberdeen, Aberdeen, United Kingdom.; University of Latvia, Rīga, Latvia., Pokorny C; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland., Levi R; University of Aberdeen, Aberdeen, United Kingdom.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2022 Jan 12; Vol. 17 (1), pp. e0261702. Date of Electronic Publication: 2022 Jan 12 (Print Publication: 2022).
DOI: 10.1371/journal.pone.0261702
Abstrakt: In motor-related brain regions, movement intention has been successfully decoded from in-vivo spike train by isolating a lower-dimension manifold that the high-dimensional spiking activity is constrained to. The mechanism enforcing this constraint remains unclear, although it has been hypothesized to be implemented by the connectivity of the sampled neurons. We test this idea and explore the interactions between local synaptic connectivity and its ability to encode information in a lower dimensional manifold through simulations of a detailed microcircuit model with realistic sources of noise. We confirm that even in isolation such a model can encode the identity of different stimuli in a lower-dimensional space. We then demonstrate that the reliability of the encoding depends on the connectivity between the sampled neurons by specifically sampling populations whose connectivity maximizes certain topological metrics. Finally, we developed an alternative method for determining stimulus identity from the activity of neurons by combining their spike trains with their recurrent connectivity. We found that this method performs better for sampled groups of neurons that perform worse under the classical approach, predicting the possibility of two separate encoding strategies in a single microcircuit.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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