scholarly journals Differential Impact of Visuospatial Working Memory on Rule-based and Information-integration Category Learning

2017 ◽  
Vol 8 ◽  
Author(s):  
Qiang Xing ◽  
Hailong Sun
Keyword(s):  
Working Memory ◽  
Category Learning ◽  
Information Integration ◽  
Visuospatial Working Memory ◽  
Differential Impact ◽  
Rule Based

scholarly journals Cognitive Changes in Conjunctive Rule-Based Category Learning: An ERP Approach

2017 ◽  
Author(s):  
Rahel Rabi ◽  
Marc F Joanisse ◽  
Tianshu Zhu ◽  
John Paul Minda
Keyword(s):  
Working Memory ◽  
Category Learning ◽  
Computational Modelling ◽  
Learning Rule ◽  
Event Related Potentials ◽  
Cognitive Changes ◽  
Rule Based ◽  
Differential Processing ◽  
Conjunctive Rule ◽  
Related Potentials

PreprintWhen learning rule-based categories, sufficient cognitive resources are needed to test hypotheses, maintain the currently active rule in working memory, update rules after feedback, and to select a new rule if necessary. Prior research has demonstrated that conjunctive rules are more complex than unidimensional rules and place greater demands on executive functions like working memory. In our study, event-related potentials (ERPs) were recorded while participants performed a conjunctive rule-based category learning task with trial-by-trial feedback. In line with prior research, correct categorization responses resulted in a larger stimulus-locked late positive complex compared to incorrect responses, possibly indexing the updating of rule information in memory. Incorrect trials elicited a pronounced feedback-locked P300 elicited which suggested a disconnect between perception, and the rule-based strategy. We also examined the differential processing of stimuli that were able to be correctly classified by the suboptimal single-dimensional rule (“easy” stimuli) versus those that could only be correctly classified by the optimal, conjunctive rule (“difficult” stimuli). Among strong learners, a larger, late positive slow wave emerged for difficult compared to easy stimuli, suggesting differential processing of category items even though strong learners performed well on the conjunctive category set. Overall, the findings suggest that ERP combined with computational modelling can be used to better understand the cognitive processes involved in rule-based category learning

scholarly journals Rule-based and information-integration category learning in normal aging

2010 ◽  
Vol 48 (10) ◽  
pp. 2998-3008 ◽  
Author(s):  
W. Todd Maddox ◽  
Jennifer Pacheco ◽  
Maia Reeves ◽  
Bo Zhu ◽  
David M. Schnyer
Keyword(s):  
Category Learning ◽  
Information Integration ◽  
Normal Aging ◽  
Rule Based

Discontinuous Categories Affect Information-Integration but Not Rule-Based Category Learning.

2005 ◽  
Vol 31 (4) ◽  
pp. 654-669 ◽  
Author(s):  
W. Todd Maddox ◽  
J. Vincent Filoteo ◽  
J. Scott Lauritzen ◽  
Emily Connally ◽  
Kelli D. Hejl
Keyword(s):  
Category Learning ◽  
Information Integration ◽  
Rule Based

scholarly journals Neural Correlates of Rule-Based and Information-Integration Visual Category Learning

2006 ◽  
Vol 17 (1) ◽  
pp. 37-43 ◽  
Author(s):  
E. Nomura ◽  
W. Maddox ◽  
J. Filoteo ◽  
A. Ing ◽  
D. Gitelman ◽  
...  
Keyword(s):  
Category Learning ◽  
Information Integration ◽  
Neural Correlates ◽  
Rule Based ◽  
Visual Category Learning

scholarly journals Learning of speech categories in humans and Zebra Finches

2016 ◽  
Author(s):  
D. Botskaris ◽  
B. Kriengwatana ◽  
C. ten Cate
Keyword(s):  
Current Literature ◽  
Category Learning ◽  
Information Integration ◽  
The Other ◽  
Human Cognition ◽  
Zebra Finches ◽  
Rule Based ◽  
Multiple Systems ◽  
Learning Tasks ◽  
Methods Of Learning

AbstractThe survival of organisms depends highly on their ability to adjust their behavior according to proper categorizations of various events. More than one strategy can be used in categorization. One is the Rule-Based (RB) strategy and the other is Information-Integration (II) strategy. In this research we analyzed the differences between avian and human cognition. Twelve Greek listeners and four Zebra finches were tested in speech category learning tasks. In particular, both humans and Zebra finches had to categorize between Dutch vowels that differ on duration, frequency or both depending on the condition. Feedback was given for correct and incorrect responses. The results showed that humans and Zebra finches are probably using the same methods of learning depending on the categorization tasks that they are exposed to. If Zebra Finches are actually able to acquire (RB) and (II) category structures using the same strategies as humans, the utility of multiple systems of categorization might not be restricted to primates as current literature suggest.

scholarly journals Auditory and visual category learning in musicians and non-musicians

2020 ◽  
Author(s):  
Casey L Roark ◽  
Kirsten Smayda ◽  
Bharath Chandrasekaran
Keyword(s):  
Category Learning ◽  
Information Integration ◽  
Temporal Modulation ◽  
Processing Stage ◽  
Rule Based ◽  
Reasoning Process ◽  
Visual Category Learning ◽  
Pitch Frequency ◽  
Reflective Reasoning ◽  
Amateur Musicians

We compare the ability of amateur musicians and non-musicians in learning artificial auditory and visual categories that can be described as either rule-based (RB) or information-integration (II) category structures. RB categories are optimally learned using a reflective reasoning process, whereas II categories are optimally learned by integrating information from two stimulus dimensions at a reflexive, pre-decisional processing stage. Across two experiments, we found that music experience was beneficial to learning auditory categories. In Experiment 1, musicians enrolled in a music college demonstrated advantages over non-musicians in learning RB auditory categories defined on pitch frequency and duration dimensions but did not demonstrate differences in learning II auditory categories or either RB or II visual categories. In Experiment 2, a broader online sample of musicians demonstrated advantages over non-musicians in learning both RB and II auditory categories defined on spectral and temporal modulation dimensions. Musicians’ category learning advantage is limited to their modality of expertise and is category-specific in a way that depends on the dimensions used to define the categories.

scholarly journals Posterror slowing predicts rule-based but not information-integration category learning

2013 ◽  
Vol 20 (6) ◽  
pp. 1343-1349 ◽  
Author(s):  
Helen Tam ◽  
W. Todd Maddox ◽  
Cynthia L. Huang-Pollock
Keyword(s):  
Category Learning ◽  
Information Integration ◽  
Rule Based ◽  
Posterror Slowing
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