RNNs can sustain power-law forgetting and multi-time-scale learning when heavy-tailed fluctuations in SGD balance the collapse tendency toward short time scales, governed by a spectral exponent β.
Self- organized criticality as a fundamental property of neural systems
2 Pith papers cite this work. Polarity classification is still indexing.
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Proposes functional whole-brain models defined by four criteria that integrate empirical connectomes, dynamical realism, and task-performing competence across cognitive domains.
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Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks
RNNs can sustain power-law forgetting and multi-time-scale learning when heavy-tailed fluctuations in SGD balance the collapse tendency toward short time scales, governed by a spectral exponent β.
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Functional Whole-Brain Models: A New Framework for Unifying Brain Structure and Cognitive Function
Proposes functional whole-brain models defined by four criteria that integrate empirical connectomes, dynamical realism, and task-performing competence across cognitive domains.