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This is a "connection" page, showing publications co-authored by ZACHARY PITKOW and FABIAN SINZ.
ZACHARY PITKOW
Connection Strength
0.765
FABIAN SINZ
  1. NEURD offers automated proofreading and feature extraction for connectomics. bioRxiv. 2024 Sep 23.
    View in: PubMed
    Score: 0.250
  2. Engineering a Less Artificial Intelligence. Neuron. 2019 09 25; 103(6):967-979.
    View in: PubMed
    Score: 0.177
  3. Foundation model of neural activity predicts response to new stimulus types and anatomy. bioRxiv. 2024 Aug 31.
    View in: PubMed
    Score: 0.062
  4. Pattern completion and disruption characterize contextual modulation in the visual cortex. bioRxiv. 2024 May 09.
    View in: PubMed
    Score: 0.061
  5. Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex. bioRxiv. 2024 Jan 06.
    View in: PubMed
    Score: 0.059
  6. Functional connectomics reveals general wiring rule in mouse visual cortex. bioRxiv. 2023 Mar 30.
    View in: PubMed
    Score: 0.056
  7. Bipartite invariance in mouse primary visual cortex. bioRxiv. 2023 Mar 16.
    View in: PubMed
    Score: 0.056
  8. Inception loops discover what excites neurons most using deep predictive models. Nat Neurosci. 2019 12; 22(12):2060-2065.
    View in: PubMed
    Score: 0.044
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.