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A Unified Theoretical Framework for Cognitive Sequencing

Tejas Savalia, Anuj Shukla, Raju S. Bapi
2016 Frontiers in Psychology  
Keywords: implicit sequence learning, explicit sequence knowledge, habitual and goal-directed behavior, modelfree vs. model-based learning, hierarchical reinforcement learning  ...  Based on this framework, we make testable predictions related to the potential influence of response-to-stimulus interval (RSI) on developing awareness in implicit learning tasks.  ...  However, the neural bases of implicit and explicit learning are still inconclusive.  ... 
doi:10.3389/fpsyg.2016.01821 pmid:27917146 pmcid:PMC5114455 fatcat:vsplfs4rx5hnnbzybsv4zn3ihq

Arbitration between Action Strategies in Obsessive-Compulsive Disorder

Patricia Gruner, Alan Anticevic, Daeyeol Lee, Christopher Pittenger
2015 The Neuroscientist  
with model-based decision-making in unreinforced procedural learning.  ...  A deficit in arbitration in OCD may help to reconcile evidence for excessive reliance on habit in rewarded learning tasks with an older literature suggesting inappropriate recruitment of circuitry associated  ...  They tested and validated a hybrid computational model consisting of goal directed (or model-based) and habitual (or model-free) learning processes, and characterized the neural substrates underlying these  ... 
doi:10.1177/1073858414568317 pmid:25605642 pmcid:PMC5159480 fatcat:mu3p37kk7na3ramlgwgqek4yvi

Changes in Neural Correlates of Outcome Feedback Processing During Implicit Learning

M. Rostami
2011 Open Neuroscience Journal  
In addition, the results suggest the important role of positive feedback in early stage and negative feedback in late stage of goal-directed implicit learning.  ...  In this study, we tried to investigate the changes in neural substrates underlying positive and negative feedback processing during goal-directed implicit learning using the Sugar Production Factory (SPF  ...  We examined the changes in neural substrates underlying outcome feedback processing during a goal-directed implicit learning paradigm.  ... 
doi:10.2174/1874082001105010024 fatcat:tn7qoliexjcedmpl47334lo5zu

Parsing reward

Kent C. Berridge, Terry E. Robinson
2003 Trends in Neurosciences  
goals).  ...  Here, it is argued that further advances will require equal sophistication in parsing reward into its specific psychological components: (1) learning (including explicit and implicit knowledge produced  ...  We thank Susana Peciñ a for assistance in preparation of the manuscript and Fig. 2 .  ... 
doi:10.1016/s0166-2236(03)00233-9 pmid:12948663 fatcat:doltvumafvbhbhemubqavz5gbe

Explicit and implicit emotion regulation: a multi-level framework

Laura Martin Braunstein, James J Gross, Kevin N Ochsner
2017 Social Cognitive and Affective Neuroscience  
After describing the core elements of the framework, we use it to review human and animal research on the neural bases of emotion regulation and to suggest key directions for future research on emotion  ...  A key feature of this multi-level framework is its conceptualization of the psychological processes in terms of two orthogonal dimensions that describe (i) the nature of the emotion regulation goal (ranging  ...  Conflict of interest. None declared.  ... 
doi:10.1093/scan/nsx096 pmid:28981910 pmcid:PMC5647798 fatcat:ngrl6fwsfrarnjali3q26i7wsa

[25 Years Ago]

2022 IEEE Control Systems  
Aid in Controller Based on Derived Goal Based on Control Goal Train on Model Simulation Train on Plant Solve Implicit Control Law Mimic Human Expert Mimic a Controller Use Open-Loop Data Identify Unknowns  ...  , e.g., supervised/unsupervised learning, direct/indirect inverse, and generalized/specialized learning.  ... 
doi:10.1109/mcs.2021.3139549 fatcat:fu6wfjduordmffezzcls6psdoe

Taking Aim at the Cognitive Side of Learning in Sensorimotor Adaptation Tasks

Samuel D. McDougle, Richard B. Ivry, Jordan A. Taylor
2016 Trends in Cognitive Sciences  
Research has focused on how this form of error-based learning takes place in an implicit and automatic manner.  ...  flexible, goal-oriented behavior.  ...  As part of the planning process, an aim is selected based on the task goal.  ... 
doi:10.1016/j.tics.2016.05.002 pmid:27261056 pmcid:PMC4912867 fatcat:qxvwogagnbe6nmrdia6sbffspq

Advances in fMRI Real-Time Neurofeedback

Takeo Watanabe, Yuka Sasaki, Kazuhisa Shibata, Mitsuo Kawato
2017 Trends in Cognitive Sciences  
Specifically, the use of implicit protocols, external rewards, multivariate analysis, and connectivity analysis have allowed neuroscientists to explore a possible causal involvement of modified brain activity  ...  Keywords fMRI neurofeedback; implicit neurofeedback; external reward; multivariate analysis; decoded neurofeedback (DecNef); functional-connectivity-based neurofeedback (FCNef) Recent advancements in fMRI  ...  Acknowledgments This research is conducted as the "Application of DecNef for development of diagnostic and cure system for mental disorders and construction of clinical application bases" of the Strategic  ... 
doi:10.1016/j.tics.2017.09.010 pmid:29031663 pmcid:PMC5694350 fatcat:n25fymhjkfaolceuw2pxoxk3pu

A New Vision About AI and Situation Awareness Model of Auto-driving with Implicit Memory

Hang SONG, Bo-han JIANG, Da-xue LIU
2018 DEStech Transactions on Computer Science and Engineering  
Similarly, some skills and knowledge are acquired by implicit learning and this kind of learning show an enormous migration and analogy ability.  ...  As to car-driving, an action-taking model based on situation awareness is presented, which shows two main action-taking ways. One is Reaction Chain; the other is Implicit/Action Ring.  ...  Acknowledgments This work was supported by the grant from Post-Doctoral Foundation of China (P.PHD. 44919).  ... 
doi:10.12783/dtcse/cnai2018/24168 fatcat:jtxrbgsuw5cptafbkrnpehlswa

4216 A TL1 team approach to investigate attention and learning at the intracranial network level and assess the effect different cognitive rehabilitation strategies have on measures of attention and learning

Sarah E. Long, Catherine Tocci, Giridhar Kalamangalam, William Perlstein, Ayse Gunduz
2020 Journal of Clinical and Translational Science  
OBJECTIVES/GOALS: 1) Investigate the network level interactions of attention and learning during an attention network task (ANT) and an implicit learning contextual cueing (CC) task. 2) Assess the effect  ...  training, and discern the neuroanatomical networks associated with attention and implicit learning based on connectivity results.  ...  training, and discern the neuroanatomical networks associated with attention and implicit learning based on connectivity results.  ... 
doi:10.1017/cts.2020.104 fatcat:id7ygq5ssved3e65qhjeudwhi4

The Neural Basis of Implicit Attitudes

Damian Stanley, Elizabeth Phelps, Mahzarin Banaji
2008 Current Directions in Psychological Science  
We discuss how this emerging neural model has influenced current research on implicit attitudes and describe the importance of such models for directing future research.  ...  The identification of a putative neural substrate for implicit attitudes has had a direct impact on psychological research into their nature and operational characteristics.  ...  We discuss how this emerging neural model has influenced current research on implicit attitudes and describe the importance of such models for directing future research.  ... 
doi:10.1111/j.1467-8721.2008.00568.x fatcat:noix6p6hrfbxrbyvaiwz62xcqi

Brain Networks of Explicit and Implicit Learning

Jing Yang, Ping Li, Xi-Nian Zuo
2012 PLoS ONE  
In this functional MRI study we examined the neural correlates of explicit and implicit learning of artificial grammar sequences.  ...  Are explicit versus implicit learning mechanisms reflected in the brain as distinct neural structures, as previous research indicates, or are they distinguished by brain networks that involve overlapping  ...  Revision of the manuscript was conducted at and supported by the National Key Research Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies, where the first author is  ... 
doi:10.1371/journal.pone.0042993 pmid:22952624 pmcid:PMC3432050 fatcat:vuubjk32jngsnpoe2vz3woc7ju

Note on the externalization of drive

J. P. Seward
1942 Psychological review  
Hull’s system includes an ingenious mechanism, based on conditioning principles, whereby a sequence of responses may become goal-directed (2).  ...  The implicit assumption underlying most of the predictions is that in becoming externalized a drive is not merely aroused by but also directed toward the reward or reward box.  ... 
doi:10.1037/h0058610 fatcat:ku7heffpgrgsfidpwugdsuftj4

On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes [article]

Thomas Davies and Derek Nowrouzezahrai and Alec Jacobson
2021 arXiv   pre-print
In this paper, we establish that weight-encoded neural implicits meet the criteria of a first-class 3D shape representation.  ...  Many prior works have focused on _latent-encoded_ neural implicits, where a latent vector encoding of a specific shape is also fed as input.  ...  Their goal is to learn a latent space for large dataset of class specific shapes.  ... 
arXiv:2009.09808v3 fatcat:7nvr4plxzbgevgqmtilk5zron4

Incremental Adversarial Learning for Optimal Path Planning [article]

Salvatore Virga, Christian Rupprecht, Nassir Navab, Christoph Hennersperger
2018 arXiv   pre-print
In this work, we present an incremental adversarial learning-based framework that allows inferring implicit behaviour, i.e. the natural characteristic of a set of given trajectories.  ...  Our results show that incremental adversarial learning is able to generate paths that reflect the natural implicit behaviour of a dataset, with the ability to improve on performance using iterative learning  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used here.  ... 
arXiv:1809.09433v1 fatcat:u3li2ram5vgjvi4s3dse2wlvki
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