Flexible Computation

Flexible Computation is a cognitive strategy within mental computation that entails the adaptive selection and application of efficient, context-appropriate procedures to solve arithmetic problems, distinguished by its emphasis on conceptual understanding, strategic variation, and departure from rigid algorithmic execution.

39

Publications

3K

Citations

145

Authors

61

Institutions

Publications per year

2017–2026

16

Authors

145

  1. LD
    Laura Driscoll

    Stanford University, United States

    2 publications · 224 citations

    2

    h-index

  2. KS
    Karl Sims

    Uber AI (United States), United States

    2 publications · 1.2K citations

    2

    h-index

  3. DS
    David Sussillo

    Stanford University, United States

    2 publications · 224 citations

    2

    h-index

  4. KV
    Krishna V. Shenoy

    Stanford University, United States

    2 publications · 224 citations

    2

    h-index

  5. JC
    Jerrie Coffman

    Sandia National Laboratories California, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 145

Venues

  1. Frontiers in Ecology and Evolution

    1 publications · 37 citations

    1

    h-index

  2. Mathematical Thinking and Learning

    1 publications · 448 citations

    1

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 84 citations

    1

    h-index

  4. Laser and Particle Beams

    1 publications · 53 citations

    1

    h-index

  5. 1

    h-index

1–5