Daniel Barreto
Illustrator
From this contributor
To keep or not to keep: Neurophysiology’s data dilemma
An exponential growth in data size presents neuroscientists with a significant challenge: Should we be keeping all raw data or focusing on processed datasets? I asked experimentalists and theorists for their thoughts.
To keep or not to keep: Neurophysiology’s data dilemma
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
A README for open neuroscience
Making data (and code) useful for yourself automatically makes it useful for others.
A README for open neuroscience
Neuroscience graduate students deserve comprehensive data-literacy education
Despite growing requirements around how to handle and share data, formal training is lacking.
Neuroscience needs a research-video archive
Video data are enormously useful and growing rapidly, but the field lacks a searchable, shareable way to store them.
Neuroscience needs a research-video archive
Explore more from The Transmitter
The non-model organism “renaissance” has arrived
Meet 10 neuroscientists bringing model diversity back with the funky animals they study.
The non-model organism “renaissance” has arrived
Meet 10 neuroscientists bringing model diversity back with the funky animals they study.
Assembloids illuminate circuit-level changes linked to autism, neurodevelopment
These complex combinations of organoids afford a closer look at how gene alterations affect certain brain networks.
Assembloids illuminate circuit-level changes linked to autism, neurodevelopment
These complex combinations of organoids afford a closer look at how gene alterations affect certain brain networks.
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.