Methylation
Recent articles
Unknown isoform adds twist to theory of fragile X origins
Contrary to conventional wisdom, most people with fragile X syndrome express the FMR1 gene — albeit improperly.
Unknown isoform adds twist to theory of fragile X origins
Contrary to conventional wisdom, most people with fragile X syndrome express the FMR1 gene — albeit improperly.
New gene-editing method flags fragile X mutation for repair
The approach prompts cultured cells to correct the genetic mutation in fragile X syndrome using their own DNA repair system, but it still needs to be tested further.
New gene-editing method flags fragile X mutation for repair
The approach prompts cultured cells to correct the genetic mutation in fragile X syndrome using their own DNA repair system, but it still needs to be tested further.
Explore more from The Transmitter
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?