Top Tweets for #SNI2016
En 2 années d'existence @infowakat est sacré meilleur portail d'informations à #SNI2016 & #SNI2017. Merci à la jeune équipe & à tous ceux qui continuent d'apporter un soutien @sanonhadja @rodriguetwit @yabsi1er @mbakatre @siaka_traore @BenedicteToe @Hotthierry1 @metsi2 #Burkina
Culminó con éxito segundo periodo de registro en el #SNI2016 en #Merida @Mppeuct @jaarreaza @danmarysdlh
Thanks everyone for a fantastic event yesterday. Stay tuned for videos, which we’ll announce here. #SNI2016
Tom Dean shows artificial neural network deciding which voxels in a 3D reconstruction belong to a structure, tracing a neurite. #SNI2016
Thomas Dean, Google Connectome #SNI2016 Brain_and_Cognitive_Sciences
https://t.co/nmXCaYIocK
in a realistic virtual earth in 8k languages
Dean: We are a slave to the people who produce data. Soon you’ll have more data than you know what to do with. #SNI2016
Bronte-Stewart can now stimulate deep brain regions in #Parkinsons and also record brain signals. #SNI2016
Bronte-Stewart: Stimulating deep regions of the brain can improve movement difficulties in #Parkinsons. #SNI2016
Wyss-Coray: Older mice exposed to younger blood have improved memory. #SNI2016
Wyss-Coray: Roughly 1/3 of proteins change between young and old people. Our body becomes a different environment. #SNI2016
Wyss-Coray: At the center of all the aging tissues is the blood. It carries the cellular communication network. #SNI2016
Wyss-Coray: The global population of people older than 65 is incrasing, and with that an increase in age-related diseases. #SNI2016
Up next, Tony Wyss-Coray will talk about factors in young blood that improve function in older brains. #SNI2016
Art from the Neuroscience Institute image contest is on display for break-time browsing #SNI2016 https://t.co/nGR1HBAplU
Myself & colleagues @CMillsFinn @MaronKatz from Etkinlab at #SNI2016 Stop by posters #40, #58 on Network Neurosci. using TMS+imaging & PTSD
Jennifer Raymond, Nikos Logothetis, Jay McClelland, and Mark Schnitzer (and many others) in the same room #SNI2016
Schnitzer: Optical/voltage imaging may let us see voltage rhythms in non-laminar areas, w cell-type specificity, where ephys can't. #SNI2016
Schnitzer: We see cells gain and lose their activity as a mouse learns an association. 20% of change during training, 80% overnight #SNI2016
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