Tag Archives: Science

Burcu Aysen Urgen Dissertation Defense 9/17 11am – Perception of Human and Robot Actions

Dissertation Defense

Spatio-temporal Neuroimaging of Visual Processing of Human and Robot Actions in Humans

BURCU AYSEN URGEN

Thursday, Sept 17, 2015, 11 am

Cognitive Science Building, Room 003

Successfully perceiving and recognizing the actions of others is of utmost importance for the survival of many species. For humans, action perception is considered to support important higher order social skills, such as communication, intention understanding and empathy, some of which may be uniquely human. Over the last two decades, neurophysiological and neuroimaging studies in primates have identified a network of brain regions in occipito-temporal, parietal and premotor cortex that are associated with perception of actions, also known as the Action Observation Network. Despite growing body of literature, the functional properties and connectivity patterns of this network remain largely unknown.

The goal of this dissertation is to address these general questions about functional properties and connectivity patterns with a specific focus on whether this system shows specificity for biological agents. To this end, we collaborated with a robotics lab, and manipulated the humanlikeness of agents that perform recognizable actions by varying visual appearance and movement kinematics. We then used a range of measurement modalities including cortical EEG oscillations, event-related brain potentials (ERPs), and fMRI together with a range of analytical techniques including pattern classification, representational similarity analysis (RSA), and dynamical causal modeling (DCM) to study the functional properties, temporal dynamics, and connectivity patterns of the Action Observation Network.

While our findings shed light on whether the human brain shows specificity for biological agents, the interdisciplinary work with robotics also allowed us to address questions regarding human factors in artificial agent design in social robotics and human-robot interaction such as uncanny valley, which is concerned with what kind of robots we should design so that humans can easily accept them as social partners.

Please join us and find out more about some of Burcu’s exciting and interdisciplinary work in the lab!

Luke Miller Dissertation Defense 9/16 11am – Tool Use and Body Representations

Dissertation Defense

The Body in Flux: Tool Use Modulates Multisensory Body Representations

LUKE E. MILLER

Wednesday, Sept 16, 2015, 11 am

Cognitive Science Building, Room 003

Tool use is a hallmark of the human species and an essential aspect of daily life. Tools serve to functionally extend the body, allowing the user to overcome physical limitations and interact with the environment in previously impossible ways. Tool-body interactions lead to significant modulation in the user’s representations of body size, a phenomenon known as tool embodiment. In the present dissertation, I used psychophysics and event-related brain potentials to investigate several aspects of tool embodiment that are otherwise poorly understood.

First, we investigated the sensory boundary conditions of tool embodiment, specifically the role of visual feedback during tool use. In several studies, we demonstrate that visual feedback of tool use is a critical driver of tool embodiment. In one such study, we find that participants can embody a visual illusion of tool use, suggesting that visual feedback may be sufficient for tool-induced plasticity.

Second, we investigated the level of representation modulated by tool use. Is embodiment confined to sensorimotor body representations, as several researchers have claimed, or can it extend to levels of self-representation (often called the body image)? Utilizing well-established psychophysical tasks, we found that using a tool modulated the body image in a similar manner as sensorimotor representations. This finding suggesting that similar embodiment mechanisms are involved at multiple levels of body representation.

Third, we used event-related brain potentials to investigate the electrophysiological correlates of tool embodiment. Several studies with tool-trained macaques have implicated multisensory stages of somatosensory processing in embodiment. Whether the same is true for humans is unknown. Consistent with what is found in macaques, we found that using a tool modulates an ERP component (the P100) thought to index the multisensory representation of the body.

The work presented in this dissertation advances our understanding of tool embodiment, both at the behavioral and neural level, and opens up novel avenues of research.

Please join us and find out more about some of Luke’s exciting research in the lab over the past few years!

New paper accepted!

New paper!

Saygin, A.P., Chaminade, T., Ishiguro, H., Driver, J. & Frith, C. (2011) The thing that should not be: Predictive coding and the uncanny valley in perceiving human and humanoid robot actions. Social Cognitive Affective Neuroscience. In Press.  PDF

Abstract: Using fMRI repetition suppression, we explored the selectivity of the human action perception system (APS), which consists of temporal, parietal, and frontal areas, for the appearance and/or motion of the perceived agent. Participants watched body movements of a human (biological appearance and movement), a robot (mechanical appearance and movement), or an android (biological appearance, mechanical movement). With the exception of extrastriate body area, which showed more suppression for humanlike appearance, the APS was not selective for appearance or motion per se. Instead, distinctive responses were found to the mismatch between appearance and motion: whereas suppression effects for the human and robot were similar to each other, they were stronger for the android, notably in bilateral anterior intraparietal sulcus, a key node in the APS. These results could reflect increased prediction error as the brain negotiates an agent that appears human, but does not move biologically, and help explain the “uncanny valley” phenomenon.

In addition to the really interesting data, this paper is extra-cool because we have the following citation:

    Lovecraft, H. P. (1936). The Shadow Over Innsmouth. In The Dunwich Horror and Others, S. T. Joshi, ed. Sauk City, WI: Arkham House.

And even better:

    Hetfield, J., Ulrich, L. and Hammett, K. (1986). The Thing That Should Not Be. In Master of Puppets, Electra Records.

Yes, yes I cited a song:

I will post a more detailed post about this study soon. Until then, Enjoy! |m|

Figure 2

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