Reproduce “Surround suppression explained by long-range recruitment of local competition, in a columnar V1 model” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Hongzhi You, Giacomo Indiveri, Dylan Richard Muir
A computational model of primary visual cortex, integrating specific excitatory and inhibitory connectivity, elucidated how long-range inputs recruit local competition to explain the decorrelation and sparsening of neuronal responses and the dynamic, orientation-tuned nature of surround suppression. The model demonstrated that wide-field stimulation strengthened negative correlations between excitatory neurons (median -0.24) and replicated the complex shift in surround suppression tuning.
Key insights
- Local competition within cortical columns, mediated by SSN-specific excitatory connections (both local and long-range) and strong unspecific local inhibition, is a critical mechanism for decorrelation and sparsening.
- Long-range excitatory inputs from the visual surround recruit and enhance this local competition, thereby explaining surround suppression without requiring preferential targeting of inhibitory neurons by long-range projections.
- The dynamic shift in surround suppression tuning (where maximum suppression aligns with non-optimal cRF stimuli) arises from this recruited local competition, which is most strongly activated when long-range inputs are synchronous with local cRF input.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.