TY - JOUR
T1 - Uncovering motifs of concurrent signaling across multiple neuronal populations
AU - Gokcen, Evren
AU - Jasper, Anna I.
AU - Xu, Alison
AU - Kohn, Adam
AU - Machens, Christian K.
AU - Yu, Byron M.
N1 - Publisher Copyright:
© 2023 Neural information processing systems foundation. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Modern recording techniques now allow us to record from distinct neuronal populations in different brain networks.However, especially as we consider multiple (more than two) populations, new conceptual and statistical frameworks are needed to characterize the multi-dimensional, concurrent flow of signals among these populations.Here, we develop a dimensionality reduction framework that determines (1) the subset of populations described by each latent dimension, (2) the direction of signal flow among those populations, and (3) how those signals evolve over time within and across experimental trials.We illustrate these features in simulation, and further validate the method by applying it to previously studied recordings from neuronal populations in macaque visual areas V1 and V2.Then we study interactions across select laminar compartments of areas V1, V2, and V3d, recorded simultaneously with multiple Neuropixels probes.Our approach uncovered signatures of selective communication across these three areas that related to their retinotopic alignment.This work advances the study of concurrent signaling across multiple neuronal populations.
AB - Modern recording techniques now allow us to record from distinct neuronal populations in different brain networks.However, especially as we consider multiple (more than two) populations, new conceptual and statistical frameworks are needed to characterize the multi-dimensional, concurrent flow of signals among these populations.Here, we develop a dimensionality reduction framework that determines (1) the subset of populations described by each latent dimension, (2) the direction of signal flow among those populations, and (3) how those signals evolve over time within and across experimental trials.We illustrate these features in simulation, and further validate the method by applying it to previously studied recordings from neuronal populations in macaque visual areas V1 and V2.Then we study interactions across select laminar compartments of areas V1, V2, and V3d, recorded simultaneously with multiple Neuropixels probes.Our approach uncovered signatures of selective communication across these three areas that related to their retinotopic alignment.This work advances the study of concurrent signaling across multiple neuronal populations.
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M3 - Conference article
AN - SCOPUS:85190685929
SN - 1049-5258
VL - 36
JO - Advances in Neural Information Processing Systems
JF - Advances in Neural Information Processing Systems
T2 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023
Y2 - 10 December 2023 through 16 December 2023
ER -