On the Technology Prospects and Investment Opportunities for Scalable Neuroscience
Venue
ArXiv (2013)
Publication Year
2013
Authors
Thomas Dean, Biafra Ahanonu, Mainak Chowdhury, Anjali Datta, Andre Esteva, Daniel Eth, Nobie Redmon, Oleg Rumyantsev, Ysis Tarter
BibTeX
Abstract
Two major initiatives to accelerate research in the brain sciences have focused
attention on developing a new generation of scientific instruments for
neuroscience. These instruments will be used to record static (structural) and
dynamic (behavioral) information at unprecedented spatial and temporal resolution
and report out that information in a form suitable for computational analysis. We
distinguish between recording — taking measurements of individual cells and the
extracellular matrix — and reporting — transcoding, packaging and transmitting the
resulting information for subsequent analysis — as these represent very different
challenges as we scale the relevant technologies to support simultaneously tracking
the many neurons that comprise neural circuits of interest. We investigate a
diverse set of technologies with the purpose of anticipating their development over
the span of the next 10 years and categorizing their impact in terms of short-term
[1-2 years], medium-term [2-5 years] and longer-term [5-10 years] deliverables.
