Vikaas Sohal
Associate professor
University of California, San Francisco
From this contributor
‘Outdated’ mouse model exposes key disruptions in autism brain
A mouse model based on exposure to an epilepsy drug offers a useful window into the brain circuits altered in autism.
‘Outdated’ mouse model exposes key disruptions in autism brain
Understanding contradictory connectivity reports in autism
Studies at the level of neural circuits are needed to better understand the importance of both increased and decreased connectivity between different regions in the autism brain, say John Rubenstein and Vikaas Sohal.
Understanding contradictory connectivity reports in autism
Targeting brain microcircuits may help treat autism
Understanding the function of neuronal circuits, specifically microcircuits in the prefrontal cortex and elsewhere in the brain, will play a major role in translating research findings into new autism treatments, says Vikaas Sohal.
Targeting brain microcircuits may help treat autism
Explore more from The Transmitter
This paper changed my life: Abigail Person on birdsong, feed-forward circuits and convergent computations
By isolating specific neuron types involved in zebra finch birdsong, this 2002 Nature paper from Michael Fee and colleagues revealed elegant neural mechanisms controlling the timing of natural learned behavior.
This paper changed my life: Abigail Person on birdsong, feed-forward circuits and convergent computations
By isolating specific neuron types involved in zebra finch birdsong, this 2002 Nature paper from Michael Fee and colleagues revealed elegant neural mechanisms controlling the timing of natural learned behavior.
Prosocial effects of oxytocin are state dependent; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 August.
Prosocial effects of oxytocin are state dependent; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 August.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.