Clients

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Role - Lead Data Scientist

Data Science Core of Ripple U19 Stanford University


Collaboration with - Stanford University


We are leading the data scientist for a collaboration between Ivan Soltesz (lead PI), Gyorgy Buzsaki, Atilla Losonczy, and Mark Schnitzer to elucidate the cellular mechanisms of hippocampal sharp wave ripples using calcium imaging, electrophysiology and large scale simulation. Our role is to help these groups collaborate, sharing data and analyses through the NWB 2.0 standard, and promote standardization in the broader neuroscience community. We worked with the large scale simulation teams across several groups to establish a standard for simulation output as an NWB extension, and a converter from the SONATA format to NWB 2.0 here. With the help of Konstantinos Nasiotis, we built an NWB:N 2.0 reader in Brainstorm and worked with buzcode to read NWB:N 2.0 files. We have also released data collected by the Buzsaki Lab in NWB 2.0 on DANDI here.

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Availability for helping other labs


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We are always interested in opportunities to work with labs on data infrastructure. We have a team of computational neuroscientists who are experts in building conversion scripts, porting tools to NWB, and helping to package and publicly release data. We also have experience building custom databases and user interfaces for lab experimental records. If you are interested in working with us



Our work is entirely open source. See our GitHub organization for code of past and ongoing projects.

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