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The activation of the caudate is associated with correct recollections in a reward-based recollection task.

ABSTRACT: Although specific brain regions have been implicated in long-term memory processes, the brain function responsible for correctly recollecting information remains incompletely understood. This study used a remember-recollection-recognition task to explore brain activities specifically associated with correct recollection. Seventy-eight subjects were first asked to remember 40 items and recollect them in the scanner. Comparison of correctly recollected trials to incorrectly recollected trials (when participants mistakenly believed they had recollected information correctly) identified greater activation of the caudate bilaterally. The involvement of caudate activation appears important in recollecting information correctly. Potential explanations and implications are discussed. Hum Brain Mapp 37:3999-4005, 2016. © 2016 Wiley Periodicals, Inc.

SUBMITTER: Dong G

PROVIDER: S-EPMC6867516 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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The activation of the caudate is associated with correct recollections in a reward-based recollection task.

Dong Guangheng G Wang Yifan Y Potenza Marc N MN

Human brain mapping 20161101 11

Although specific brain regions have been implicated in long-term memory processes, the brain function responsible for correctly recollecting information remains incompletely understood. This study used a remember-recollection-recognition task to explore brain activities specifically associated with correct recollection. Seventy-eight subjects were first asked to remember 40 items and recollect them in the scanner. Comparison of correctly recollected trials to incorrectly recollected trials (whe ...[more]

PMID: 27329532

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Project description:The automatic synthesis of policies for robotics systems through reinforcement learning relies upon, and is intimately guided by, a reward signal. Consequently, this signal should faithfully reflect the designer's intentions, which are often expressed as a collection of high-level requirements. Several works have been developing automated reward definitions from formal requirements, but they show limitations in producing a signal which is both effective in training and able to fulfill multiple heterogeneous requirements. In this paper, we define a task as a partially ordered set of safety, target, and comfort requirements and introduce an automated methodology to enforce a natural order among requirements into the reward signal. We perform this by automatically translating the requirements into a sum of safety, target, and comfort rewards, where the target reward is a function of the safety reward and the comfort reward is a function of the safety and target rewards. Using a potential-based formulation, we enhance sparse to dense rewards and formally prove this to maintain policy optimality. We call our novel approach hierarchical, potential-based reward shaping (HPRS). Our experiments on eight robotics benchmarks demonstrate that HPRS is able to generate policies satisfying complex hierarchical requirements. Moreover, compared with the state of the art, HPRS achieves faster convergence and superior performance with respect to the rank-preserving policy-assessment metric. By automatically balancing competing requirements, HPRS produces task-satisfying policies with improved comfort and without manual parameter tuning. Through ablation studies, we analyze the impact of individual requirement classes on emergent behavior. Our experiments show that HPRS benefits from comfort requirements when aligned with the target and safety and ignores them when in conflict with the safety or target requirements. Finally, we validate the practical usability of HPRS in real-world robotics applications, including two sim-to-real experiments using F1TENTH vehicles. These experiments show that a hierarchical design of task specifications facilitates the sim-to-real transfer without any domain adaptation.

Dataset Information

The activation of the caudate is associated with correct recollections in a reward-based recollection task.

Publications

The activation of the caudate is associated with correct recollections in a reward-based recollection task.

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