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cond-mat.dis-nn2026
Storing Infinite Dynamical Attractors in Nonreciprocal Associative Neural Networks
Miguel Aguilera, Daniele De Martino
We develop a dynamical mean-field theory for nonreciprocal associative networks that store an extensive number of dynamical attractors, from limit cycles to strange attractors. Usi…
cond-mat.stat-mech2026
Synchronization, Kinematic Waves and Spike-Phase-Separation in Feedback Ising Neural Networks on Heterogeneous Graphs
Anna Poggialini, Irem Topal, Fabrizio Lombardi +1
Structural heterogeneity constrains collective dynamics in complex systems. However, its analytical tractability out of equilibrium remains limited. In this work, we study a class…