Enriched learning: behavior, brain, and computation

The presence of complementary information across multiple sensory or motor modalities during learning, referred to as multimodal enrichment, can markedly benefit learning outcomes. Why is this? Cognitive, neural, and computational theories of enrichment attribute the benefits of enriched learning to either multimodal or unimodal mechanisms.   Figure and legend from Mathias, B., & von Kriegstein, K. […]

Intermediate acoustic-to-semantic representations link behavioral and neural responses to natural sounds

    Visualisation with multidimensional scaling of sound representations in the computational models (top row), and in the brain activity (bottom row). For each model, the ranked dissimilarity matrix is shown. A strong similarity is apparent between representations in Sound-to-event DNNs and in the post-primary auditory cortex (pSTG). Bruno L. Giordano, Michele Esposito, Giancarlo Valente, […]

A multimodal approach for modeling engagement in conversation

The engagement of participants varies a lot during a conversation, with direct consequences on the quality and the success of the interaction. How is this engagement implemented? We propose a new model of engagement based on a multimodal description encompassing as many cues as possible from prosody, gestures, facial expressions, lexicon, and syntax. We used […]

Does modifying visual feedback facilitate learning to write new pseudo-letters?

Learning to write relies on the efficient integration of visual and proprioceptive feedback. Learners become expert writers when they transition from a control anchored on the visualization of the ongoing written trace to the motor control of handwriting movement. We tested whether this transition was facilitated by deleting part of the written trace and of […]

Multilevel Linguistic Features Constrain Speech Comprehension

    Humans are experts at processing speech, but how this feat is accomplished remains a major open question. We investigated how speech comprehension is determined by seven different linguistic features, ranging from acoustic modulation rate to contextual lexical information. All these features independently impact the comprehension of accelerated speech, with a clear dominance of […]

Communicative Feedback in Language Acquisition

  Children communicate and use language in social interactions from a very young age. They experiment with their developing linguistic knowledge and receive valuable feedback from their interlocutors. We formalize a mechanism for language acquisition, whereby children can improve their linguistic knowledge in conversation by leveraging explicit or implicit signals of communication success or failure. […]

Laughter in interaction

Mazzocconi, C., Ginzburg, J. A Longitudinal Characterization of Typical Laughter Development in Mother–Child Interaction from 12 to 36 Months: Formal Features and Reciprocal Responsiveness. J Nonverbal Behav (2022).

Conceptual alignment in a joint picture-naming task performed with a social robot

To “align” during a conversation means for interlocutors to achieve similar mental representations of the communicative situation. Can conceptual alignement occur when one of the interlocutors is a robot? Twenty-four French native speakers took turns with a robot in naming images of objects belonging to different semantic categories. For a subset of those semantic categories, […]

MIA: An open-source toolbox for Multi-patient Intracranial EEG Analysis

Intracranial EEG (iEEG) performed during the pre-surgical evaluation of refractory epilepsy provides a great opportunity to investigate the neurophysiology of human cognitive functions with exceptional spatial and temporal precisions. A difficulty of the iEEG approach for cognitive neuroscience, however, is the potential variability across patients in the anatomical location of implantations and in the functional […]