Neurocognitive Correlates of Learning in a Visual Object Recognition Task

Ion Juvina; Priya Ganapathy; Matthew Sherwood; Mohd Saif Usmani; Gautam Kunapuli; Tejaswi Tamminedi; Nasser H. Kashou

doi:10.1007/978-3-319-20816-9_25

Neurocognitive Correlates of Learning in a Visual Object Recognition Task

Ion Juvina, Priya Ganapathy, Matthew Sherwood, Mohd Saif Usmani, Gautam Kunapuli, Tejaswi Tamminedi, Nasser H. Kashou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Preliminary results of a longitudinal study aimed at understanding the neurocognitive correlates of learning in a visual object recognition task are reported. The experimental task used real-world novel stimuli, whereas the control task used real-world familiar stimuli. Participants practiced the tasks over 10 weeks and reached a high level of accuracy. Brain imaging data was acquired in weeks 2, 6, and 10 and eye-tracking data was acquired in the other seven weeks. Quantitative and qualitative changes in brain activity were observed over the course of learning and skill acquisition. Generally, in the experimental task, brain activity increased at week 6 and decreased at week 10, whereas in the control task, brain activity decreased at week 6 and further decreased at week 10 compared to week 2. New clusters of brain activity emerged at week 6 in the experimental task. Eye-fixation and pupil-dilation data showed that fast learners tend to inspect the stimuli more thoroughly even after a response was given. These results are used to inform the development of computational cognitive models of visual object recognition tasks.

Original language	American English
Title of host publication	Foundations of Augmented Cognition
Editors	Dylan D. Schmorrow, Cali M. Fidopiastis
Publisher	Springer Cham
ISBN (Electronic)	978-3-319-20816-9
ISBN (Print)	978-3-319-20815-2
DOIs	https://doi.org/10.1007/978-3-319-20816-9_25
State	Published - Jan 1 2015
Event	9th International Conference on the Foundations of Augmented Cognition - Los Angeles, United States Duration: Aug 2 2015 → Aug 7 2015 Conference number: 9

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9183
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on the Foundations of Augmented Cognition
Abbreviated title	AC 2015
Country/Territory	United States
City	Los Angeles
Period	8/2/15 → 8/7/15

Keywords

Brain Imaging
Eye Tracking
Learning
Longitudinal Study

Disciplines

Psychology
Cognitive Neuroscience

Access to Document

10.1007/978-3-319-20816-9_25License: Unspecified

Cite this

Juvina, I., Ganapathy, P., Sherwood, M., Usmani, M. S., Kunapuli, G., Tamminedi, T., & Kashou, N. H. (2015). Neurocognitive Correlates of Learning in a Visual Object Recognition Task. In D. D. Schmorrow, & C. M. Fidopiastis (Eds.), Foundations of Augmented Cognition (Lecture Notes in Computer Science; Vol. 9183). Springer Cham. https://doi.org/10.1007/978-3-319-20816-9_25

Neurocognitive Correlates of Learning in a Visual Object Recognition Task. / Juvina, Ion; Ganapathy, Priya; Sherwood, Matthew et al.
Foundations of Augmented Cognition. ed. / Dylan D. Schmorrow; Cali M. Fidopiastis. Springer Cham, 2015. (Lecture Notes in Computer Science; Vol. 9183).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Juvina, I, Ganapathy, P, Sherwood, M, Usmani, MS, Kunapuli, G, Tamminedi, T & Kashou, NH 2015, Neurocognitive Correlates of Learning in a Visual Object Recognition Task. in DD Schmorrow & CM Fidopiastis (eds), Foundations of Augmented Cognition. Lecture Notes in Computer Science, vol. 9183, Springer Cham, 9th International Conference on the Foundations of Augmented Cognition, Los Angeles, California, United States, 8/2/15. https://doi.org/10.1007/978-3-319-20816-9_25

@inproceedings{41c2ab070af0471b8de436ffdddc5450,

title = "Neurocognitive Correlates of Learning in a Visual Object Recognition Task",

abstract = "Preliminary results of a longitudinal study aimed at understanding the neurocognitive correlates of learning in a visual object recognition task are reported. The experimental task used real-world novel stimuli, whereas the control task used real-world familiar stimuli. Participants practiced the tasks over 10 weeks and reached a high level of accuracy. Brain imaging data was acquired in weeks 2, 6, and 10 and eye-tracking data was acquired in the other seven weeks. Quantitative and qualitative changes in brain activity were observed over the course of learning and skill acquisition. Generally, in the experimental task, brain activity increased at week 6 and decreased at week 10, whereas in the control task, brain activity decreased at week 6 and further decreased at week 10 compared to week 2. New clusters of brain activity emerged at week 6 in the experimental task. Eye-fixation and pupil-dilation data showed that fast learners tend to inspect the stimuli more thoroughly even after a response was given. These results are used to inform the development of computational cognitive models of visual object recognition tasks.",

keywords = "Brain Imaging, Eye Tracking, Learning, Longitudinal Study",

author = "Ion Juvina and Priya Ganapathy and Matthew Sherwood and Usmani, {Mohd Saif} and Gautam Kunapuli and Tejaswi Tamminedi and Kashou, {Nasser H.}",

year = "2015",

month = jan,

day = "1",

doi = "10.1007/978-3-319-20816-9_25",

language = "American English",

isbn = "978-3-319-20815-2",

series = "Lecture Notes in Computer Science",

publisher = "Springer Cham",

editor = "Schmorrow, {Dylan D.} and Fidopiastis, {Cali M.}",

booktitle = "Foundations of Augmented Cognition",

note = "9th International Conference on the Foundations of Augmented Cognition, AC 2015 ; Conference date: 02-08-2015 Through 07-08-2015",

}

TY - GEN

T1 - Neurocognitive Correlates of Learning in a Visual Object Recognition Task

AU - Juvina, Ion

AU - Ganapathy, Priya

AU - Sherwood, Matthew

AU - Usmani, Mohd Saif

AU - Kunapuli, Gautam

AU - Tamminedi, Tejaswi

AU - Kashou, Nasser H.

N1 - Conference code: 9

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Preliminary results of a longitudinal study aimed at understanding the neurocognitive correlates of learning in a visual object recognition task are reported. The experimental task used real-world novel stimuli, whereas the control task used real-world familiar stimuli. Participants practiced the tasks over 10 weeks and reached a high level of accuracy. Brain imaging data was acquired in weeks 2, 6, and 10 and eye-tracking data was acquired in the other seven weeks. Quantitative and qualitative changes in brain activity were observed over the course of learning and skill acquisition. Generally, in the experimental task, brain activity increased at week 6 and decreased at week 10, whereas in the control task, brain activity decreased at week 6 and further decreased at week 10 compared to week 2. New clusters of brain activity emerged at week 6 in the experimental task. Eye-fixation and pupil-dilation data showed that fast learners tend to inspect the stimuli more thoroughly even after a response was given. These results are used to inform the development of computational cognitive models of visual object recognition tasks.

AB - Preliminary results of a longitudinal study aimed at understanding the neurocognitive correlates of learning in a visual object recognition task are reported. The experimental task used real-world novel stimuli, whereas the control task used real-world familiar stimuli. Participants practiced the tasks over 10 weeks and reached a high level of accuracy. Brain imaging data was acquired in weeks 2, 6, and 10 and eye-tracking data was acquired in the other seven weeks. Quantitative and qualitative changes in brain activity were observed over the course of learning and skill acquisition. Generally, in the experimental task, brain activity increased at week 6 and decreased at week 10, whereas in the control task, brain activity decreased at week 6 and further decreased at week 10 compared to week 2. New clusters of brain activity emerged at week 6 in the experimental task. Eye-fixation and pupil-dilation data showed that fast learners tend to inspect the stimuli more thoroughly even after a response was given. These results are used to inform the development of computational cognitive models of visual object recognition tasks.

KW - Brain Imaging

KW - Eye Tracking

KW - Learning

KW - Longitudinal Study

UR - https://corescholar.libraries.wright.edu/psychology/425

U2 - 10.1007/978-3-319-20816-9_25

DO - 10.1007/978-3-319-20816-9_25

M3 - Conference contribution

SN - 978-3-319-20815-2

T3 - Lecture Notes in Computer Science

BT - Foundations of Augmented Cognition

A2 - Schmorrow, Dylan D.

A2 - Fidopiastis, Cali M.

PB - Springer Cham

T2 - 9th International Conference on the Foundations of Augmented Cognition

Y2 - 2 August 2015 through 7 August 2015

ER -

Neurocognitive Correlates of Learning in a Visual Object Recognition Task

Abstract

Publication series

Conference

Keywords

Disciplines

Access to Document

Other files and links

Cite this