For several years, @ Fabiopas82 & I have been working with colleagues to investigate network control theory as a possible process model for network level phenomena in the human brain. The theory draws upon a notion of control energy. What is the biological basis of that energy?
New work from @Xiaosong_He & others uses PET imaging to provide initial evidence for the metabolic substrates of control energy, elucidating the biological basis of network control theory as a framework for probing the brain’s energy landscape.…
This perspective complements other efforts to link control energy to notions of cognitive effort or cognitive demand, as evident in work from @urs_braun, Heike Tost, Andreas Meyer-Lindenberg, and others:…
The metabolic perspective also complements efforts to understand how control energy might be modulated by neurotransmitter receptor function, whether that be dopamine in @urs_braun's paper or serotonin in this nice preprint from @amykooz's group:…
To me, some of the really exciting open questions now are how to bring these linked explanations (metabolism, neurotransmitters, cognitive effort) of control energy to bear on behavior. Here, I am thinking of work in non-human primates from @marlenecohen…
and work from Karol Szymula in collaboration with @DesrochersLab and @graybiellab showing how habit learning is supported by efficiently controlled network dynamics in naive macaque monkeys

• • •

Missing some Tweet in this thread? You can try to force a refresh

Keep Current with Dani S. Bassett

Dani S. Bassett Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!


Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @DaniSBassett

7 Jan 20
New from @jddwor Extent & drivers of gender imbalance in neuroscience reference lists w/ @Penn_SIVE, @perryzurn, Teich, Linn. Covering issues of bias, ethics, & social behavior vital to all fields grappling with their own visions of an equitable future.
@jddwor @Penn_SIVE @perryzurn In this study, we examine the authors and reference lists of articles published in five top neuroscience journals since 1995: Nature Neuroscience, Neuron, Brain, NeuroImage, and Journal of Neuroscience.
@jddwor @Penn_SIVE @perryzurn Accounting for self-citations, & various potentially relevant characteristics of papers, we find that (1) Women-led papers (defined as those w/ women as first- and/or last- author) are undercited relative to that expected if gender was not a consideration in citation behavior;
Read 11 tweets
4 Jun 19
Just up on arXiv from @ChrisWLynn "Human information processing in complex networks" w/@ari_e_kahn & L Papadopoulos, combining information theory & cognitive science to quantify the information that humans receive from complex communication systems.
Traditional methods in information theory treat the production of information as an inherent property of a system. In contrast, here we consider the human perspective by accounting for the subtle, yet critical, fact that information depends on the expectations of a receiver.
By incorporating human expectations, we develop an analytic framework to study the information perceived by a human observer, which we motivate with new human experiments (our first main result).
Read 5 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!