Connection

SARAH HEILBRONNER to Models, Neurological

This is a "connection" page, showing publications SARAH HEILBRONNER has written about Models, Neurological.
Connection Strength

0.646
  1. All that glitters is not reward signal. Nat Neurosci. 2014 Sep; 17(9):1142-4.
    View in: PubMed
    Score: 0.417
  2. Learning How Neurons Fail Inside of Networks: Nonhuman Primates Provide Critical Data for Psychiatry. Neuron. 2019 04 03; 102(1):21-26.
    View in: PubMed
    Score: 0.143
  3. Computational validity: using computation to translate behaviours across species. Philos Trans R Soc Lond B Biol Sci. 2022 02 14; 377(1844):20200525.
    View in: PubMed
    Score: 0.043
  4. Choice-relevant information transformation along a ventrodorsal axis in the medial prefrontal cortex. Nat Commun. 2021 08 10; 12(1):4830.
    View in: PubMed
    Score: 0.042
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.