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Neuroscientist Mac Shine interviews researchers whose work traverses traditional boundaries.
How can we fold cellular-level details into whole-brain neuroimaging networks?
I got answers from Bratislav Misic, who is inventing practical ways to connect the brain’s microscopic features with its macroscopic organization.
How can we fold cellular-level details into whole-brain neuroimaging networks?
I got answers from Bratislav Misic, who is inventing practical ways to connect the brain’s microscopic features with its macroscopic organization.
What happens when a histopathologist teams up with computational modelers?
Answers emerge in my chat with Nicola Palomero-Gallagher, a rare example of someone who connects the brain’s microscopic constituents and macroscopic features.
What happens when a histopathologist teams up with computational modelers?
Answers emerge in my chat with Nicola Palomero-Gallagher, a rare example of someone who connects the brain’s microscopic constituents and macroscopic features.
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.