Greg Boustead
Community Manager
Spectrum
From this contributor
Takeaways from IMFAR 2015
Scientists and the autism community come together for the 2015 International Meeting for Autism Research in Salt Lake City, Utah.
Reactions from IMFAR 2015
Tune in for daily updates and reactions from attendees at the 2015 International Meeting for Autism Research in Salt Lake City, Utah.
Dispatches from IMFAR 2015
These short reports from our journalists give you the inside scoop on developments at the 2015 International Meeting for Autism Research.
Dispatches from IMFAR 2015
Summer Institute for Autism Research: An online series
The International Society for Autism Research and SFARI.org together present a series of six weekly interactive presentations, intended for early-career investigators interested in autism research.
Summer Institute for Autism Research: An online series
Live Twitter chat from IMFAR 2015
On Friday, 15 May SFARI.org hosted a Twitter Q&A chat live from the floors of the 2015 International Meeting for Autism Research in Salt Lake City, Utah.
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.