Learning, memory and consolidation mechanisms for behavioral control in hierarchically organized cortico‐basal ganglia systems

SI Rusu, CMA Pennartz - Hippocampus, 2020 - Wiley Online Library
This article aims to provide a synthesis on the question how brain structures cooperate to
accomplish hierarchically organized behaviors, characterized by low‐level, habitual routines …

Computational evidence for hierarchically structured reinforcement learning in humans

MK Eckstein, AGE Collins - Proceedings of the National Academy of …, 2020 - pnas.org
Humans have the fascinating ability to achieve goals in a complex and constantly changing
world, still surpassing modern machine-learning algorithms in terms of flexibility and …

Advanced reinforcement learning and its connections with brain neuroscience

C Fan, L Yao, J Zhang, Z Zhen, X Wu - Research, 2023 - spj.science.org
In recent years, brain science and neuroscience have greatly propelled the innovation of
computer science. In particular, knowledge from the neurobiology and neuropsychology of …

Cognitive strategies shift information from single neurons to populations in prefrontal cortex

FK Chiang, JD Wallis, EL Rich - Neuron, 2022 - cell.com
Neurons in primate lateral prefrontal cortex (LPFC) play a critical role in working memory
(WM) and cognitive strategies. Consistent with adaptive coding models, responses of these …

Building compositional tasks with shared neural subspaces

S Tafazoli, FM Bouchacourt, A Ardalan, NT Markov… - …, 2024 - pmc.ncbi.nlm.nih.gov
Cognition is remarkably flexible; we are able to rapidly learn and perform many different
tasks1. Theoretical modeling has shown artificial neural networks trained to perform multiple …

Subgoal-and goal-related reward prediction errors in medial prefrontal cortex

JJF Ribas-Fernandes, D Shahnazian… - Journal of cognitive …, 2019 - direct.mit.edu
A longstanding view of the organization of human and animal behavior holds that behavior
is hierarchically organized—in other words, directed toward achieving superordinate goals …

Hierarchical reinforcement learning, sequential behavior, and the dorsal frontostriatal system

M Janssen, C LeWarne, D Burk… - Journal of Cognitive …, 2022 - direct.mit.edu
To effectively behave within ever-changing environments, biological agents must learn and
act at varying hierarchical levels such that a complex task may be broken down into more …

Exploring the psychometric dimensions: theoretical and practical applications of artificial intelligence and gamification in education, learning, and neuropsychological …

M Orsoni - 2024 - amsdottorato.unibo.it
In recent decades, the intersection of artificial intelligence (AI) and gamification has
reshaped learning, education, and neuropsychological assessment. Tracing its roots to mid …

[PDF][PDF] 基于分层**化学**的数字化输电线路路径规划研究

宋涛, **丹, 路宁 - 电测与仪表, 2022 - epjournal.csee.org.cn
在输电线路的设计中, 使用三维数字化设计技术可以显著提升地形的划分精度,
然而地形划分精度的提升会使得地形栅格矩阵维度呈指数级增加, 导致路径规划过程中出现维度 …

Excitatory neurons of the anterior cingulate cortex encode chosen actions and their outcomes rather than cognitive state

MM Jendryka, U Lewin, SKT Kapanaiah, H Dermutz… - bioRxiv, 2024 - biorxiv.org
The anterior cingulate cortex (ACC) causally influences cognitive control of goal-directed
behaviour. However, it is unclear whether ACC directly encodes cognitive variables like …