Workbench with phone prototypes
Look at what the stork brought to the LeafLabs office: a pair of Project Ara's prototype modular cellphones. LeafLabs has been working with Google on Project Ara to develop this revolutionary modular smartphone.
Pieces in
Pieces out
Jess & Andrew with Willow at SFN
LeafLabs will be attending the 2015 xFair at MIT (February 2, 2015, 10am-4pm / Rockwell Cage). We will demo Willow, our 1000 channel data acquisition system for neurophysiology, developed in partnership with Ed Boyden at the MIT Synthetic Neurobiology Group. We will also talk about our part in Google's Project Ara (maybe even have phone to show).
Marti presenting at DevCon2
This past week Marti and Andrew traveled to Mountain View, CA and Singapore for the Project Ara Developers Conference, where Marti presented on the UniPro network. For more images and links check out GoogleATAP.
Between events
LeafLabs' Marti Bolivar will be presenting today (1/14/15) at the Project Ara DevCon2 in Mountain View, CA. Livestream here!
LeafLabs recently exhibited the Willow System at the Society for Neuroscience's Annual Meeting in Washington, D.C. Our collaborators at the Ed Boyden Lab were there as well with the following posters:
Boyden, E.S. : 655.19-Tu & 659.03-Tu
Kinney, J.P. : 659.05-Tu
Moore-Kochlacs: 659.05-Tu
Scholvin, J.S. : 659.03-Tu, 659.05-Tu
Also at SFN were our friends at Intan and Kendall Research Systems. Research for Willow is supported by the National Institute of Mental Health of the National Institutes of Health under Award Number R43MH101943. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Jess and Andrew at the LeafLabs booth
Willow traveling cases
hris assembling Willow
he Willow System (probes in cases)
Jess + Oculus Rift
Check out Google's latest media push for Project Ara, which LeafLabs has been working on for over a year.
WiredLeaf GUI software with live visualization of real-time capture on a per-channel basis
LeafLabs has been awarded an Small Business Innovation Research (SBIR) grant from the National Institute of Mental Health (NIMH) to continue our work with WiredLeaf. We will be collaborating with Edward Boyden, PHD at MIT's Synthetic Neurobiology Group.
One of my favorite python development tools is RunSnakeRun, which is a GUI for visualizing profiling information. I usually use it to track down what's making a script run slow: the tool draws nexted blocks with a surface area roughly proportional to the time spent in a given function. In the above screenshot I learned that the python library for Google'sProtocol Buffers serialization format were the bottle neck for an experiment we were doing. We were sort of expecting networking or disk I/O to be the bottleneck, but with these libraries it was the CPU. The compiled C libraries are much faster!
The Python interpreter actually has the profiling code built in ("cProfile"), and runsnakerun is just a GUI for analysing the dump files. The commands I usually use to capture a dump and then visualize with runsnakerun are something like:
$ python -m cProfile -o ./dump.profile myscript.py --script-option blah $ # run to completion or Ctrl-C, then $ runsnakerun ./dump.profile
You can get install runsnakerun from the debian package repos (probably ubuntu also); details and installation instructions for other operating systems are avalable from the website.
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