Active Inference, homeostatic regulation and adaptive behavioural control.

TL;DR: In this article, the authors measured Steady-State Visual Evoked Potentials (SSVEPs) while 20 healthy adults took part in a novel task and found that SSVEPs were higher for new pain (CS+) than new safety (CS-).

TL;DR: In this article, the authors argue that autonomous systems cannot be pre-specified or pre-programmed, but enact themselves based on history, sociality and internal fragmentation, and that history entails nonlinear, circularly causal processes.

TL;DR: It is proposed that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them, which provide bias signals to other brain structures whose net effect is to guide the flow of activity along neural pathways that establish the proper mappings between inputs, internal states, and outputs needed to perform a given task.

TL;DR: This paper presents and proves in detail a convergence theorem forQ-learning based on that outlined in Watkins (1989), showing that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action- values are represented discretely.

TL;DR: Findings in this work indicate that dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events can be understood through quantitative theories of adaptive optimizing control.