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Rescooped by Roger D. Jones, PhD from visual data
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Columbia University and the Van Alen Institute Map How Our Brains Navigate the City

Columbia University and the Van Alen Institute Map How Our Brains Navigate the City | Complex Systems and X-Events | Scoop.it
The GSAPP’s Cloud Lab teams up with neurologists and the design institute to track how urban environments can make people relaxed or tense.

This spring, the Cloud Lab at Columbia University and the Van Alen Institute tackled the challenge of assessing and mapping how people respond to their environment as a part of Van Alen’s Elsewhere series on wellness in the city.

Instead of the typical focus groups, however, the researchers tracked brainwaves to gauge the mental activities of nearly 100 volunteers; using electroencephalography-based (EEG) measurements and the GPS tracking app, the research team collected more than 1 gigabyte of data over 200 walking sessions that, in theory, create a snapshot of a day-in-the-life of the neighborhood’s mental states. 

Presenting the data in a manner that retained its spatial qualities required the researchers to develop their own software for visualization. At a public follow-up presentation in May, the team presented the simplified data on a 3D map of DUMBO. Areas in cyan indicate places in which participants were in a more meditative and relaxed state, while areas in red indicate places where participants had a more focused or heightened sense of awareness...


Via Lauren Moss
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Bhopkins's curator insight, August 22, 10:53 AM

"Architects and planners could employ the technology during post-occupancy walkthroughs or preliminary design presentations."

Rescooped by Roger D. Jones, PhD from Papers
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Contributions and challenges for network models in cognitive neuroscience

Contributions and challenges for network models in cognitive neuroscience | Complex Systems and X-Events | Scoop.it

The confluence of new approaches in recording patterns of brain connectivity and quantitative analytic tools from network science has opened new avenues toward understanding the organization and function of brain networks. Descriptive network models of brain structural and functional connectivity have made several important contributions; for example, in the mapping of putative network hubs and network communities. Building on the importance of anatomical and functional interactions, network models have provided insight into the basic structures and mechanisms that enable integrative neural processes. Network models have also been instrumental in understanding the role of structural brain networks in generating spatially and temporally organized brain activity. Despite these contributions, network models are subject to limitations in methodology and interpretation, and they face many challenges as brain connectivity data sets continue to increase in detail and complexity.

 

Contributions and challenges for network models in cognitive neuroscience
• Olaf Sporns
Nature Neuroscience (2014) http://dx.doi.org/10.1038/nn.3690


Via Complexity Digest
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