Self-organising memristive networks exhibit collective nonlinear dynamics that can support physical learning with parallels to biological plasticity and potential for energy-efficient edge intelligence.
Dynamic models of large-scale brain activity
2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
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A review paper that organizes conceptual, practical, and socio-technical open problems in mechanistic interpretability.
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Self-Organising Memristive Networks as Physical Learning Systems
Self-organising memristive networks exhibit collective nonlinear dynamics that can support physical learning with parallels to biological plasticity and potential for energy-efficient edge intelligence.
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Open Problems in Mechanistic Interpretability
A review paper that organizes conceptual, practical, and socio-technical open problems in mechanistic interpretability.