Neuroscientists are now collecting datasets of unprecedented scale thanks to technological advances. Yet, there are many unanswered questions that must be addressed to keep moving the field forward.
In this webinar moderated by Gardiner von Trapp, panelists Michael Miller, Richard Myers, and Pascal Wallisch discuss:
What types of research problems can a data-science approach solve?
How will neuroscientists analyze large-scale data sets most effectively, and with what tools?
What training challenges do mentors and trainees face for implementing large-scale data science practices?
What skills are valuable for neuroscientists to have to successfully understand and adopt this approach?
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This post is Copyright: | September 22, 2016
Scientific Research