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This is a "connection" page, showing publications co-authored by ZACHARY PITKOW and JACOB REIMER.
ZACHARY PITKOW
Connection Strength
0.743
JACOB REIMER
  1. NEURD: automated proofreading and feature extraction for connectomics. bioRxiv. 2023 Mar 29.
    View in: PubMed
    Score: 0.229
  2. Engineering a Less Artificial Intelligence. Neuron. 2019 09 25; 103(6):967-979.
    View in: PubMed
    Score: 0.180
  3. Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex. bioRxiv. 2024 Jan 06.
    View in: PubMed
    Score: 0.060
  4. Towards a Foundation Model of the Mouse Visual Cortex. bioRxiv. 2023 Apr 21.
    View in: PubMed
    Score: 0.057
  5. Functional connectomics reveals general wiring rule in mouse visual cortex. bioRxiv. 2023 Mar 30.
    View in: PubMed
    Score: 0.057
  6. Bipartite invariance in mouse primary visual cortex. bioRxiv. 2023 Mar 16.
    View in: PubMed
    Score: 0.057
  7. Pattern completion and disruption characterize contextual modulation in mouse visual cortex. bioRxiv. 2023 Mar 14.
    View in: PubMed
    Score: 0.057
  8. Inception loops discover what excites neurons most using deep predictive models. Nat Neurosci. 2019 12; 22(12):2060-2065.
    View in: PubMed
    Score: 0.045
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.