TY  - JOUR
AU  - Zajzon, Barna
AU  - Dahmen, David
AU  - Morrison, Abigail
AU  - Duarte, Renato
TI  - Signal denoising through topographic modularity of neural circuits
JO  - eLife
VL  - 12
SN  - 2050-084X
CY  - Cambridge
PB  - eLife Sciences Publications
M1  - FZJ-2023-01023
SP  - e77009
PY  - 2023
AB  - Information from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus features, providing a robust and efficient encoding strategy. Beyond sensory encoding, this prominent anatomical feature extends throughout the neocortex. However, the extent to which it influences cortical processing is unclear. In this study, we combine cortical circuit modeling with network theory to demonstrate that the sharpness of topographic projections acts as a bifurcation parameter, controlling the macroscopic dynamics and representational precision across a modular network. By shifting the balance of excitation and inhibition, topographic modularity gradually increases task performance and improves the signal-to-noise ratio across the system. We demonstrate that in biologically constrained networks, such a denoising behavior is contingent on recurrent inhibition. We show that this is a robust and generic structural feature that enables a broad range of behaviorally-relevant operating regimes, and provide an in-depth theoretical analysis unravelling the dynamical principles underlying the mechanism.
LB  - PUB:(DE-HGF)16
C6  - 36700545
UR  - <Go to ISI:>//WOS:000943249500001
DO  - DOI:10.7554/eLife.77009
UR  - https://juser.fz-juelich.de/record/943451
ER  -