Daniel Liévano
Illustrator
From this contributor
Pooling data points to new potential treatment for spinal cord injury
By gathering raw data from multiple labs, we identified an overlooked predictor of recovery after spinal cord injury. Many more insights remain trapped in scattered data.
We found a major flaw in a scientific reagent used in thousands of neuroscience experiments — and we’re trying to fix it.
As part of that ambition, we launched a public-private partnership to systematically evaluate antibodies used to study neurological disease, and we plan to make all the data freely available.
Simply making data publicly available isn’t enough. We need to make it easy — that requires community buy-in.
I helped create a standard to make it easy to upload, analyze and compare functional MRI data. An ecosystem of tools has since grown up around it, boosting reproducibility and speeding up research.
Incentivizing data-sharing in neuroscience: How about a little customer service?
To make data truly reusable, we need to invest in data curators, who help people enter the information into repositories.
Incentivizing data-sharing in neuroscience: How about a little customer service?
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.