Impact of multisensory learning on perceptual and lexical processing of unisensory Morse code

Junker, Frederick Benjamin; Schlaffke, Lara; Axmacher, Nikolai; Wilcke, Tobias

doi:10.1016/j.brainres.2020.147259

Cited by 4 publications

(6 citation statements)

References 47 publications

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“…Although the learning procedure was similar for all subjects, it differed in the sensory modalities involved. While some subjects learned the MC as purely auditory sequences (Junker et al 2021: Unisensory learners; 17 subjects), others additionally perceived the MC as vibrotactile sequences applied to the left hand (Junker et al 2021: Multisensory lowlevel learners; 16 subjects). However, since training-related differences between these groups were only found in righthemispheric brain regions associated with tactile perception (postcentral gyrus) and multisensory integration (inferior frontal cortex), both groups were analyzed together in the present study.…”

Section: Trainingmentioning

confidence: 99%

“…However, since training-related differences between these groups were only found in righthemispheric brain regions associated with tactile perception (postcentral gyrus) and multisensory integration (inferior frontal cortex), both groups were analyzed together in the present study. Importantly, all subjects spent the same amount of time exercising (for a detailed description of the learning procedure, see Junker et al 2021).…”

Section: Trainingmentioning

confidence: 99%

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The angular gyrus serves as an interface between the non-lexical reading network and the semantic system: evidence from dynamic causal modeling

et al. 2023

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Understanding encoded language, such as written words, requires multiple cognitive processes that act in a parallel and interactive fashion. These processes and their interactions, however, are not fully understood. Various conceptual and methodical approaches including computational modeling and neuroimaging have been applied to better understand the neural underpinnings of these complex processes in the human brain. In this study, we tested different predictions of cortical interactions that derived from computational models for reading using dynamic causal modeling. Morse code was used as a model for non-lexical decoding followed by a lexical-decision during a functional magnetic resonance examination. Our results suggest that individual letters are first converted into phonemes within the left supramarginal gyrus, followed by a phoneme assembly to reconstruct word phonology, involving the left inferior frontal cortex. To allow the identification and comprehension of known words, the inferior frontal cortex then interacts with the semantic system via the left angular gyrus. As such, the left angular gyrus is likely to host phonological and semantic representations and serves as a bidirectional interface between the networks involved in language perception and word comprehension.

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Section: Trainingmentioning

confidence: 99%

Section: Trainingmentioning

confidence: 99%

The angular gyrus serves as an interface between the non-lexical reading network and the semantic system: evidence from dynamic causal modeling

et al. 2023

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show abstract

“…However, since training-related differences between these groups were only found in right-hemispheric brain regions associated with tactile perception (postcentral gyrus) and multisensory integration (inferior frontal cortex), both groups were analyzed here together. Importantly, all subjects spent the same amount of time exercising (for a detailed description of the learning procedure, see Junker et al 2021).…”

Section: Trainingmentioning

confidence: 99%

“…The subjects communicated their answers by pressing a key-pad with the left pinky (word), ring (nonword), middle (SOS signal), or index nger (control). In addition to the lexical-decision task, the subjects performed a perceptual task using the same stimulus material, which has been described elsewhere (see Junker et al 2021). Each task was divided into two sessions, allowing for a short break between the sessions.…”

Section: Lexical-decision Taskmentioning

confidence: 99%

The angular gyrus serves as an interface between the non-lexical reading network and the semantic system - evidence from dynamic causal modeling

Junker

Schlaffke

Lange

et al. 2022

Preprint

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Understanding encoded language, such as written words, requires multiple cognitive processes that act in a parallel and interactive fashion. These processes and their interactions, however, are not fully understood. Various conceptual and methodical approaches including computational modeling and neuroimaging have been applied to better understand the neural underpinnings of these complex processes in the human brain. In this study, we tested different predictions of cortical interactions that derived from computational models for reading using dynamic causal modeling. Morse code was used as a model for non-lexical decoding followed by a lexical-decision during an MR examination. Our results suggest that individual letters are first converted into phonemes within the left parietal lobe, followed by a phoneme assembly to reconstruct word phonology, involving the left inferior frontal cortex. To allow the identification and comprehension of known words, the inferior frontal cortex then interacts with the semantic system via the left angular gyrus. As such, the left angular gyrus is likely to host phonological and semantic representations and serves as a bidirectional interface between the networks involved in language perception and word comprehension.

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“…In different applications, Morse code is one of the most commonly used methods to realize information transmission about short signal [17][18][19]. Compared with other methods, Morse code relies on a stable and unchanging wireless signal so that its wireless communication equipment is simpler and can be used in high noise and weak signal environments [20]. These features will contribute to the realization of seismic communication, so Morse code is adopted in this paper.…”

Section: Communication Modementioning

confidence: 99%

Application of the Segmented Correlation Technology in Seismic Communication with Morse Code

et al. 2021

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Seismic communication might promise to revolutionize the theory of seismic waves. However, one of the greatest challenges to its widespread adoption is the difficulty of signal extraction because the seismic waves in the vibration environments, such as seas, streets, city centers and subways, are very complex. Here, we employ segmented correlation technology with Morse code (SCTMC), which extracts the target signal by cutting the collected data into a series of segments and makes these segments cross-correlate with the decoded signal to process the collected data. To test the effectiveness of the technology, a seismic communication system composed of vibroseis sources and geophones was built in an environment full of other vibration signals. Most notably, it improves the signal-to-noise ratio (SNR), extending the relay distance and suppressing other vibration signals by using technology to deal with seismic data generated by the system.

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Impact of multisensory learning on perceptual and lexical processing of unisensory Morse code

Cited by 4 publications

References 47 publications

The angular gyrus serves as an interface between the non-lexical reading network and the semantic system: evidence from dynamic causal modeling

The angular gyrus serves as an interface between the non-lexical reading network and the semantic system: evidence from dynamic causal modeling

The angular gyrus serves as an interface between the non-lexical reading network and the semantic system - evidence from dynamic causal modeling

Application of the Segmented Correlation Technology in Seismic Communication with Morse Code

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