TL;DR
Qualitative analyses of training curves, loss landscapes, and latent embeddings support the interpretation that Hopfield retrieval smooths optimization and encourages more compact, linearly separable class manifolds.
This work constructs an autonomous three-timescale dynamical system with three coupled layers: a fast Kuramoto layer that stores phase patterns as exponentially stable phase-locked configurations, an intermediate hysteresis layer that enforces reliable dwell times, and a slow attention layer that routes sequential tran...
SpikeWorld, a 1.45M-parameter sparse spiking model jointly trained for heterogeneous sensory prediction, semantics, image-text binding and action-conditioned dynamics, is introduced, showing that the contribution is not superior linear identification, but its integration with a frozen multimodal spiking checkpoint.
This chapter reconstructs the Hopfield network as a physical theory of memory rather than merely an early neural-network algorithm, treating the Hopfield network as an effective theory whose symmetry, locality, and point-neuron assumptions delimit its biological reach.
For an open quantum reservoir, how the system forgets is part of how it computes. Quantum reservoir computing processes input streams with fixed quantum dynamics and trains only a linear readout. Dissipation can make old inputs fade, but prior studies commonly fix the environmental process and tune only its strength. H...
A classical Lindblad-inspired multi-timescale reservoir is introduced that bridges open-system dynamical principles with structured state-space modeling and offers an interpretable recurrent architecture in which mixing, memory, and stability are explicit and independently tunable design variables.
Training RNNs on delayed decision-making tasks with progressively increasing temporal demands shows that temporal and decision-related computations can emerge through multiple dynamical regimes, while maintaining structured low-dimensional representations and comparable behavioural performance, mirroring biological pri...
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