CB-RNNs with a cerebellar feedforward module learn temporal tasks faster than matched RNNs, with the module driving efficiency even after freezing the recurrent core as a fixed reservoir.
Modularity is the bedrock of natural and artificial intelligence, in: Second Workshop on Representational Alignment at ICLR 2025, p
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
q-bio.NC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Optimal LPC networks achieve near-minimal response times without trade-offs in energetic cost or robustness, and modular structures with reduced lateral connections match all-to-all networks in performance.
citing papers explorer
-
Cortico-cerebellar modularity as an architectural inductive bias for efficient temporal learning
CB-RNNs with a cerebellar feedforward module learn temporal tasks faster than matched RNNs, with the module driving efficiency even after freezing the recurrent core as a fixed reservoir.
-
Response time of lateral predictive coding and benefits of modular structures
Optimal LPC networks achieve near-minimal response times without trade-offs in energetic cost or robustness, and modular structures with reduced lateral connections match all-to-all networks in performance.