Open-source tools
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The S-index Challenge: Develop a metric to quantify data-sharing success
The NIH-sponsored effort aims to help incentivize scientists to share data. But many barriers to the widespread adoption of useful data-sharing remain.
The S-index Challenge: Develop a metric to quantify data-sharing success
The NIH-sponsored effort aims to help incentivize scientists to share data. But many barriers to the widespread adoption of useful data-sharing remain.
New ‘decoder’ tool translates functional neuroimaging terms across labs
The compendium of brain-parcellation atlases makes it possible to compare large-scale network data, which often involves different and overlapping network names.
New ‘decoder’ tool translates functional neuroimaging terms across labs
The compendium of brain-parcellation atlases makes it possible to compare large-scale network data, which often involves different and overlapping network names.
10 standards for brain electrode-array recordings enhance reproducibility
Electrophysiology findings can vary widely from lab to lab, even among those using identical protocols. New guidelines set forth in a preprint should help.
10 standards for brain electrode-array recordings enhance reproducibility
Electrophysiology findings can vary widely from lab to lab, even among those using identical protocols. New guidelines set forth in a preprint should help.
Designing an open-source microscope
Funding for the development of open-source tools is on the rise, but support for their maintenance and dissemination, both crucial for their meaningful uptake, remains a major challenge.
Designing an open-source microscope
Funding for the development of open-source tools is on the rise, but support for their maintenance and dissemination, both crucial for their meaningful uptake, remains a major challenge.
Getting musical to spot patterns in whole-brain imaging data: Q&A with Elizabeth Hillman
The new technique takes advantage of humans’ “extraordinary” sensory processing abilities, Hillman says.
Getting musical to spot patterns in whole-brain imaging data: Q&A with Elizabeth Hillman
The new technique takes advantage of humans’ “extraordinary” sensory processing abilities, Hillman says.
Explore more from The Transmitter
Okur-Chung neurodevelopmental syndrome; excess CSF; autistic girls
Here is a roundup of autism-related news and research spotted around the web for the week of 21 October.
Okur-Chung neurodevelopmental syndrome; excess CSF; autistic girls
Here is a roundup of autism-related news and research spotted around the web for the week of 21 October.
Brains, biases and amyloid beta: Why the female brain deserves a closer look in Alzheimer’s research
New results suggest the disease progresses differently in women, but we need more basic science to unpack the mechanisms involved.
Brains, biases and amyloid beta: Why the female brain deserves a closer look in Alzheimer’s research
New results suggest the disease progresses differently in women, but we need more basic science to unpack the mechanisms involved.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.