Header Logo

Connection

FABIAN SINZ to Models, Neurological

Back to Details
This is a "connection" page, showing publications FABIAN SINZ has written about Models, Neurological.
FABIAN SINZ
Connection Strength
1.138
Models, Neurological
  1. Natural image coding in V1: how much use is orientation selectivity? PLoS Comput Biol. 2009 Apr; 5(4):e1000336.
    View in: PubMed
    Score: 0.285
  2. Foundation model of neural activity predicts response to new stimulus types. Nature. 2025 Apr; 640(8058):470-477.
    View in: PubMed
    Score: 0.216
  3. Probabilistic neural transfer function estimation with Bayesian system identification. PLoS Comput Biol. 2024 Jul; 20(7):e1012354.
    View in: PubMed
    Score: 0.206
  4. 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: 0.203
  5. Inception loops discover what excites neurons most using deep predictive models. Nat Neurosci. 2019 12; 22(12):2060-2065.
    View in: PubMed
    Score: 0.148
  6. Functional connectomics reveals general wiring rule in mouse visual cortex. Nature. 2025 Apr; 640(8058):459-469.
    View in: PubMed
    Score: 0.054
  7. Encoding of social signals in all three electrosensory pathways of Eigenmannia virescens. J Neurophysiol. 2014 Nov 01; 112(9):2076-91.
    View in: PubMed
    Score: 0.026
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.