A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
A Unified Theoretical Framework for Cognitive Sequencing
2016
Frontiers in Psychology
Preserved Fulltext
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
2015
The Neuroscientist
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2011
Open Neuroscience Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2003
Trends in Neurosciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
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
2017
Social Cognitive and Affective Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2016
Trends in Cognitive Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2017
Trends in Cognitive Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2018
DEStech Transactions on Computer Science and Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2020
Journal of Clinical and Translational Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2008
Current Directions in Psychological Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2012
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
1942
Psychological review
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
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]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2009.09808v2 fatcat:bmjdqfq75vawnoejhjysue5i3eOther Versions
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]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 45,929 results