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Representation Learning for Context-Dependent Decision-Making
Humans are capable of adjusting to changing environments flexibly and quickly.
Non-Stationary Representation Learning in Sequential Linear Bandits
In this paper, we study representation learning for multi-task decision-making in non-stationary environments.
Phase-Amplitude Coupling in Neuronal Oscillator Networks
Phase-amplitude coupling (PAC) describes the phenomenon where the power of a high-frequency oscillation evolves with the phase of a low-frequency one.
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