Learning acquisition of consistent leader–follower relationships depends on implicit haptic interactions

Takai, Asuka; Fu, Qiushi; Doibata, Yuzuru; Lisi, Giuseppe; Tsuchiya, Toshiki; Mojtahedi, Keivan; Yoshioka, Toshinori; Kawato, Mitsuo; Morimoto, Jun; Santello, Marco

doi:10.1038/s41598-023-29722-6

Cited by 6 publications

(1 citation statement)

References 37 publications

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“…Social interactions between individuals entail the activity of one person and the prediction of what the other person will do, followed by the other’s action and a correction of the original subjective prediction ( Frith and Frith, 2010 ; Vesper et al, 2010 ; Takai et al, 2023 ). In predicting and synchronizing with a partner this two-person activity has internal (intra) and external (inter) brain components.…”

Section: Introductionmentioning

confidence: 99%

Directed causal effect with PCMCI in hyperscanning EEG time series

Silfwerbrand,

Koike,

Nyström

et al. 2024

Front. Neurosci.

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Social activities are likely to cause effects or reactivity in the brains of the people involved in collaborative social situations. This study assesses a new method, Tigramite, for time domain analysis of directed causality between the prefrontal cortex (PFC) of persons in such situations. An experimental situation using hyperscanning EEG was applied while individuals led and followed each other in finger-tapping rhythms. This structured task has a long duration and a high likelihood of inter-brain causal reactions in the prefrontal cortices. Tigramite is a graph-based causal discovery method to identify directed causal relationships in observational time series. Tigramite was used to analyze directed causal connections within and between the PFC. Significantly directed causality within and between brains could be detected during the social interactions. This is the first empirical evidence the Tigramite can reveal inter- and intra-brain-directed causal effects in hyperscanning EEG time series. The findings are promising for further studies of causality in neural networks during social activities using Tigramite on EEG in the time domain.

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Section: Introductionmentioning

confidence: 99%

Directed causal effect with PCMCI in hyperscanning EEG time series

Silfwerbrand,

Koike,

Nyström

et al. 2024

Front. Neurosci.

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Force-Based Modeling of Heterogeneous Roles in the Coordinated Behavior of a Triad

Ichikawa,

Fujii

2024

New Gener. Comput.

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Group coordination is defined as interactions with other members to implement a task that is difficult to do alone or to achieve higher performance than an individual. Meanwhile, the adjustment process in coordination is not uniquely determined because each individual has many degrees of freedom. It is more difficult to explain and model complex and dynamic coordination, such as nonverbal behavior of three or more members than pair or verbal interaction. Hence, we previously introduced a coordinated drawing task and conducted the behavioral experiment. The triads operated reels to change the tensions of threads connected to a pen, shared three heterogeneous roles (pulling, relaxing, and adjusting), and moved the pen to draw an equilateral triangle. The results indicated that the adjusting role was related to high task performance by helping resiliently without disturbing the pen’s smooth movement while avoiding great pen deviation. However, this experiment alone cannot explain details of the adjustment process of tension. To supplement these findings, this study formulated the three roles using equations of motion. The multi-agent simulation results showed that the adjusting role might use the degree of pen deviation reflected by the others’ motor information, such as the operating procedures and forces, to change the tension and draw at least three sides. Although it is necessary to consider that we used the experimental task, our study contributes to the fundamental understanding of resilient adjustment in coordination by sharing heterogeneous roles as the first step.

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