• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

CCCP and I-Brain round tables

1. CCCP 2020 round table
During second half of 11th December, a closed, round-table format event will be hosted by members of the Cognition, Communication, Computation, and Perception research group (CCCP). This event is intended to facilitate further discussion regarding ongoing investigation focused on the behavioral, oculomotor and neurophysiological mechanisms underlying first language attrition (project funded by Russian Science Foundation, REF. 19-18-00550).

2. I-Brain Erasmus+ round table
Data lies at the heart of cognitive neuroscience, enabling researchers to study neural mechanisms and connections underlying cognition by analyzing statistical patterns in data obtained from brain activity. Advances in data science have brought about a significant shift towards data-driven techniques in cognitive neuroscience. Traditionally, data collection and data sharing have been an inherent issue in neuroscience. While there have been significant efforts towards developing large publicly available neuroimaging databases, quick and reliable data sharing still remains a significant issue. Similarly, while there has been significant progress towards developing data-driven models, there is a lack of benchmarking datasets to compare them. Recent advances in Big Data, IoT (Internet of Things), and Edge computing technologies have made it possible to leverage methods and findings from cognitive neuroscience in building smart assistive and rehabilitation technologies. These technologies face a challenge in building portable, rapid, and robustly scalable neuroimaging technologies, advances in which can benefit both the research and applications in cognitive neuroscience.