Does audio-visual binding as an integrative function of working memory influence the early stages of learning to write?

2019 ◽  
Vol 33 (4) ◽  
pp. 835-857
Author(s):  
S. J. Davies ◽  
L. Bourke ◽  
N. Harrison
2019 ◽  
Vol 374 (1787) ◽  
pp. 20180349 ◽  
Author(s):  
Michiko Asano ◽  
So-ichiro Takahashi ◽  
Takuya Tsushiro ◽  
Kazuhiko Yokosawa

One of the fundamental questions about grapheme–colour synaesthesia is how specific associations between the graphemes and colours are formed. We addressed this question by focusing on the determinants of synaesthetic colours for Japanese Kanji characters (logographic characters) using a psycholinguistic approach. Study 1 explored the influence meaning has on synaesthetic colours for Kanji characters representing abstract meanings by examining synaesthetic colours for antonym pairs (i.e. characters with meanings opposed to each other) in Japanese synaesthetes. Results showed that semantic relations influenced the grapheme–colour associations for characters representing abstract meanings in the early stages of learning abstract Kanji, while the influence was reduced in the grapheme–colour associations for those learned later. Study 2 examined the effect that learning new sounds or meanings of graphemes has on synaesthetic colours for those graphemes. Japanese synaesthetes were taught new sounds or new meanings for familiar Kanji characters. Results indicated that acquiring new information for graphemes slightly but significantly reduced the test–retest grapheme–colour association consistency, suggesting that synaesthetic colours can be modulated to reflect the synaesthete's latest knowledge about graphemes. Implications of these findings are discussed from the perspective of the relationship between synaesthesia and grapheme learning. This article is part of a discussion meeting issue ‘Bridging senses: novel insights from synaesthesia’.


2020 ◽  
Vol 124 (2) ◽  
pp. 388-399 ◽  
Author(s):  
Susan K. Coltman ◽  
Paul L. Gribble

We investigated whether changes in the feedback stretch response were related to the proposed fast and slow processes of motor adaptation. We found that the long-latency component of the feedback stretch response was upregulated in the early stages of learning and the time course was correlated with the fast process. While some propose that the fast process reflects an explicit strategy, we argue instead that it may be a proxy for the feedback controller.


2017 ◽  
Vol 59 (4) ◽  
pp. 387-395 ◽  
Author(s):  
Sven Haller ◽  
Marie-Louise Montandon ◽  
Cristelle Rodriguez ◽  
Dominik Moser ◽  
Simona Toma ◽  
...  

2011 ◽  
Vol 49 (1) ◽  
pp. 92-102 ◽  
Author(s):  
Luca Cocchi ◽  
Ulrike Toepel ◽  
Marzia De Lucia ◽  
Roberto Martuzzi ◽  
Stephen J. Wood ◽  
...  

2004 ◽  
Vol 23 (2) ◽  
pp. 185-206 ◽  
Author(s):  
Pamela S. Haibach ◽  
Gregory L. Daniels ◽  
Karl M. Newell

2020 ◽  
Author(s):  
Susan K. Coltman ◽  
Paul L. Gribble

AbstractAdapting to novel dynamics involves modifying both feedforward and feedback control. We investigated whether the motor system alters feedback responses during adaptation to a novel force field in a manner similar to adjustments in feedforward control. We simultaneously tracked the time course of both feedforward and feedback systems via independent probes during a force field adaptation task. Participants (n=35) grasped the handle of a robotic manipulandum and performed reaches to a visual target while the hand and arm were occluded. We introduced an abrupt counter-clockwise velocity-dependent force field during a block of reaching trials. We measured movement kinematics and shoulder and elbow muscle activity with surface EMG electrodes. We tracked the feedback stretch response throughout the task. Using force channel trials we measured overall learning, which was later decomposed into a fast and slow process. We found that the long-latency feedback response (LLFR) was upregulated in the early stages of learning and was correlated with the fast component of feedforward adaptation. The change in feedback response was specific to the long-latency epoch (50-100 ms after muscle stretch) and was observed only in the triceps muscle, which was the muscle required to counter the force field during adaptation. The similarity in time course for the LLFR and the estimated time course of the fast process suggests both are supported by common neural circuits. While some propose that the fast process reflects an explicit strategy, we argue instead that it may be a proxy for the feedback controller.New & NoteworthyWe investigated whether changes in the feedback stretch response were related to the proposed fast and slow processes of motor adaptation. We found that the long latency component of the feedback stretch response was upregulated in the early stages of learning, and the time course was correlated with the fast process. While some propose that the fast process reflects an explicit strategy, we argue instead that it may be a proxy for the feedback controller.


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