
Jason Manley
@jasmanley
ID: 724336275919110148
24-04-2016 20:36:40
55 Tweet
101 Followers
499 Following



I have 5 vouchers for @NVIDIA's deep learning institute, each worth $100 Want to win one? ๐ธ Follow me ๐ธ Retweet this ๐ธ Register for NVIDIA GTC conference (a lot of great talks!) ๐ธ Attend the conference Here are the 3 talks on NVIDIA GTC that I'm looking forward to:





Out today : The Vaziri Lab has extended Light Field Microscopy to mesoscale fields of view, allowing calcium imaging of thousands of neurons at high frame rate and high spatial resolution. nature.com/articles/s4159โฆ


One of our daily views of stunning shark-fish interactions with Iain Couzin August Luke Costello MPI-AB is on Bluesky @mpi-animalbehav.bsky.social #sharks


1/ @sussillodavid & I are looking for an excellent computational postdoc to work with us & collaborate w/Karl Deisseroth Lisa Giocomo & Eyal Seidemann on an NIH project to explore how internal states like spontaneous activity, attention, motivation, etc.. interact with...

Job alert! Want to apply your computational chops at the interface of cutting-edge neuroscience & emerging imaging technologies? Join my team Rockefeller University in #NYC and be the brains behind the computations at the Rockefeller Brain Observatory! tinyurl.com/RBOnyc Pls RT!




1/6 Sadly I missed Society for Neuroscience (SfN) due to visa :( I missed my talk at nanosymposium "computational models of decision-making" (by Daeyeol Lee) and also lost my Trainee Professional Development Award (2.5k$). So, let me use Twitter to do a portion of what I could do at SfN in a ๐งต


Abstract disentangled low D representations are great for generalization but are not efficient for memory storage. The hippocampus seems to increase dimensionality to fix this problem. Published in Neuron, with a wonderful team @LaraBintheBrain, Lorenzo Posani, S. Siegelbaum



Existing collaboration with Golshani Lab Peyman Golshani, Arash Bellafard! "Crystallization" of volatile working memory representations with practice using Light Beads Microscopy by imaging >73,000 M2 neurons across cortical layers. Congratulations to the entire team! shorturl.at/PXmYC