Introduces low-rank gluings in TLNs proving global fixed points are combinations of local fixed points, with complete characterization for rank-1 case and extension to gCTLNs.
Attractor-based models for sequences and pattern generation in neural circuits
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Fixed point compositionality via low-rank gluing rules in inhibition-dominated threshold-linear networks
Introduces low-rank gluings in TLNs proving global fixed points are combinations of local fixed points, with complete characterization for rank-1 case and extension to gCTLNs.