Symmetric sensing and symmetry-breaking processing as a minimal principle for directional inference

Bilateral body plans and functional lateralization coexist across animals, yet their computational relation remains unclear. Here we asked under what symmetry conditions a bilateral system can recover directional sign from paired sensory inputs. We formulated a minimal two-sensor inference framework with separate sensing and processing stages and analyzed it under a left-right reflection (Z2). Across auditory, binocular, and tactile models, bilaterally symmetric sensor placement produced Z2-equivariant Fisher-information profiles, indicating unbiased information uptake at the sensing stage. We then analyzed delay-based differential processing in the auditory case using cross-correlation readout kernels decomposed into even and odd components. Under symmetric placement and a symmetric source prior, purely even kernels preserved unsigned spatial information but failed to recover source sign, whereas introducing an odd kernel component restored sign-sensitive structure and strongly increased sign-recovery accuracy. This separation remained qualitatively robust across sensor noise, although quantitative performance depended on kernel width and source-angle range. These results identify a minimal division of labor in bilateral computation: body symmetry provides unbiased information uptake, whereas directional and lateralized information emerges at readout through symmetry-breaking processing.

Authors

Institutions

Publication Details

Journal
iScience
Published
2026-08-25
DOI
https://doi.org/10.1016/j.isci.2026.117184
Primary Topic
Hemispheric Asymmetry in Neuroscience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Symmetric sensing and symmetry-breaking processing as a minimal principle for directional inference

Tenna Churiki, Nobuchika Yamaki
iScience
Hemispheric Asymmetry in Neuroscience
article

Symmetric sensing and symmetry-breaking processing as a minimal principle for directional inference

Tenna Churiki, Nobuchika Yamaki
article en

Abstract

Bilateral body plans and functional lateralization coexist across animals, yet their computational relation remains unclear. Here we asked under what symmetry conditions a bilateral system can recover directional sign from paired sensory inputs. We formulated a minimal two-sensor inference framework with separate sensing and processing stages and analyzed it under a left-right reflection (Z2). Across auditory, binocular, and tactile models, bilaterally symmetric sensor placement produced Z2-equivariant Fisher-information profiles, indicating unbiased information uptake at the sensing stage. We then analyzed delay-based differential processing in the auditory case using cross-correlation readout kernels decomposed into even and odd components. Under symmetric placement and a symmetric source prior, purely even kernels preserved unsigned spatial information but failed to recover source sign, whereas introducing an odd kernel component restored sign-sensitive structure and strongly increased sign-recovery accuracy. This separation remained qualitatively robust across sensor noise, although quantitative performance depended on kernel width and source-angle range. These results identify a minimal division of labor in bilateral computation: body symmetry provides unbiased information uptake, whereas directional and lateralized information emerges at readout through symmetry-breaking processing.

iScienceVol. 29(9)
III-N Technology (United States) (US)
Decent work and economic growth
Openalex Percentile: Top 18%
Hemispheric Asymmetry in Neuroscience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.