Connection

FABIAN SINZ to Photic Stimulation

This is a "connection" page, showing publications FABIAN SINZ has written about Photic Stimulation.
Connection Strength

0.405
  1. Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nat Neurosci. 2014 Jun; 17(6):851-7.
    View in: PubMed
    Score: 0.105
  2. Foundation model of neural activity predicts response to new stimulus types. Nature. 2025 Apr; 640(8058):470-477.
    View in: PubMed
    Score: 0.056
  3. Heterogeneous orientation tuning in the primary visual cortex of mice diverges from Gabor-like receptive fields in primates. Cell Rep. 2024 08 27; 43(8):114639.
    View in: PubMed
    Score: 0.053
  4. Probabilistic neural transfer function estimation with Bayesian system identification. PLoS Comput Biol. 2024 Jul; 20(7):e1012354.
    View in: PubMed
    Score: 0.053
  5. Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks. PLoS Comput Biol. 2024 May; 20(5):e1012056.
    View in: PubMed
    Score: 0.053
  6. State-dependent pupil dilation rapidly shifts visual feature selectivity. Nature. 2022 10; 610(7930):128-134.
    View in: PubMed
    Score: 0.047
  7. Inception loops discover what excites neurons most using deep predictive models. Nat Neurosci. 2019 12; 22(12):2060-2065.
    View in: PubMed
    Score: 0.038
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.