Search bioRxiv⌕ Search

Biology subjects

Rispoli, B.

Publications and source records attributed to Rispoli, B..

2 recordsLinked to original sources

Brief encounters with real objects modulate medial parietal but not occipitotemporal cortex

Humans are skilled at recognizing everyday objects from pictures, even if we have never encountered the depicted object in real life. But if we have encountered an object, how does that real-world experience affect the representation of its photographic image in the human brain? We developed a paradigm that involved brief real-world manual exploration of everyday objects prior to the measurement of brain activity with fMRI while viewing pictures of those objects. We found that while object-responsive regions in lateral occipital and ventral temporal cortex were visually driven and contained highly invariant representations of specific objects, those representations were not modulated by this brief real-world exploration. However, there was an effect of visual experience in object-responsive regions in the form of repetition suppression of the BOLD response over repeated presentations of the object images. Real-world experience with an object did, however, produce foci of increased activation in medial parietal and posterior cingulate cortex, regions that have previously been associated with the encoding and retrieval of remembered items in explicit memory paradigms. Our discovery that these regions are engaged during spontaneous recognition of real-world objects from their 2D image demonstrates that modulation of activity in medial regions by familiarity is neither stimulus nor task-specific. Overall, our results support separable coding in the human brain of the visual appearance of an object from the associations gained via real-world experience. The richness of object representations beyond their photographic image has important implications for understanding object recognition in both the human brain and in computational models.

neuroscience↗

Should bionic limb control mimic the human body? Impact of control strategy on bionic hand skill learning

A longstanding engineering ambition has been to design anthropomorphic bionic limbs: devices that look like and are controlled in the same way as the biological body (biomimetic). The untested assumption is that biomimetic motor control enhances device embodiment, learning, generalization, and automaticity. To test this, we compared biomimetic and non-biomimetic control strategies for able-bodied participants when learning to operate a wearable myoelectric bionic hand. We compared motor learning across days and behavioural tasks for two training groups: Biomimetic (mimicking the desired bionic hand gesture with biological hand) and Arbitrary control (mapping an unrelated biological hand gesture with the desired bionic gesture). For both trained groups, training improved bionic limb control, reduced cognitive reliance, and increased embodiment over the bionic hand. Biomimetic users had more intuitive and faster control early in training. Arbitrary users matched biomimetic performance later in training. Further, arbitrary users showed increased generalization to a novel control strategy. Collectively, our findings suggest that biomimetic and arbitrary control strategies provide different benefits. The optimal strategy is likely not strictly biomimetic, but rather a flexible strategy within the biomimetic to arbitrary spectrum, depending on the user, available training opportunities and user requirements.

neuroscience↗