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. biorxiv.org/content/10.110…
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: nature.com/articles/s4146…
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: biorxiv.org/content/10.110…
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 @marlenecohenbiorxiv.org/content/10.110…
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 arxiv.org/abs/2006.14565
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New from @jddwor Extent & drivers of gender imbalance in neuroscience reference lists tinyurl.com/yfw26jy2. 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;
Just up on arXiv from @ChrisWLynn "Human information processing in complex networks" arxiv.org/abs/1906.00926 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).