JacobianODE learns Jacobians from data to quantify directional control in nonlinear systems and shows sensory-to-cognitive control strengthening in a trained working-memory RNN.
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
q-bio.QM 1years
2025 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Characterizing control between interacting subsystems with deep Jacobian estimation
JacobianODE learns Jacobians from data to quantify directional control in nonlinear systems and shows sensory-to-cognitive control strengthening in a trained working-memory RNN.