Satisfiability transition in asymmetric neural networks – Archive ouverte HAL
Fabián Aguirre-López 1 Mauro Pastore 1 Silvio Franz 1 Fabián Aguirre-López, Mauro Pastore, Silvio Franz. Satisfiability transition in asymmetric neural networks. Journal of Physics A: Mathematical and Theoretical, IOP Publishing, 2022. ⟨hal-03721474⟩ Asymmetry in the synaptic interactions between neurons plays a crucial role in determining the memory storage and retrieval properties of recurrent neural networks. […]
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