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And here is a list of hashtags used relatively recently:
#neuroscience
#computational_neuroscience
#neurosciencemews
#neuroscienceeducation
#neuroscienceresearch
#NetworkNeuroscience
#CognitiveNeuroscience
#neurosciences
#neuroscience2023
#neuroscienceofdiscipline
#neurosciencedebate
#DogNeuroscience
#DecisionNeuroscience
#neurosciencenews
#CognitveNeuroscience
#neuroscienceofphilosophy
#Neuroscience101
#neuroscienceonmastodon
And a 'group' you can follow neuroscience@gup.pe
By ironical serendiripy, drift, change, synchronicity, or else:
Two new papers with thoughtful #NetworkNeuroscience critique!
» Beyond Networks:
Explaining Dynamics in the Natural and Social Sciences «
@yoginho et al.
https://doi.org/10.31219/osf.io/htc78
» Circular and unified analysis in network neuroscience «
Mika Rubinov
https://doi.org/10.7554/eLife.79559
With different framework approaches, conclusions, while complimentary & so needed!
#ComplexSystems
#NetworkScience
#SystemsNeuroscience
#neurodon
#neurobuzz
osf.ioOSF
Replied to Manlio De Domenico
Another One Bites the Dust!
Nice @thetransmitter writeup for broad audience
https://www.thetransmitter.org/methods/mistaking-a-duck-for-a-skvader-how-a-conceptual-form-of-circular-analysis-may-taint-many-neuroscience-studies/
Yet the 6 appendices alone have many bits to learn from!
Benchmark models
Represent all important existing knowledge about our phenomenon of interest
Speculative models
Represent new hypotheses
Strawman models
Represent weak null hypotheses
Circular analyses
Almost invariably accept speculative models against strawman models
Mika Rubinov
https://doi.org/10.7554/eLife.79559
#NetworkNeuroscience
The Transmitter: Neuroscience News and Perspectives · Mistaking a duck for a skvader: How a conceptual form of circular analysis may taint many neuroscience studies
The new issue (n° 12) of #ComplexityThoughts is out!
https://manlius.substack.com/p/complexity-thoughts-issue-12
#NetworkScience #ClimateChange #NetworkNeuroscience #Epidemics #PopulationDynamics
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Do you find it useful and you are not yet subscribed? Join hundreds: it's free, check it out or recommend it to a friend: https://manlius.substack.com/
@networkscience@a.gup.pe @complexsystems @DecisionNeuroscience
And here we go!
The new issue (n° 11) of #ComplexityThoughts is out!
#NetworkScience #UrbanSystems, #NetworkNeuroscience #OriginOfLife
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Do you find it useful and you are not yet subscribed? It's free, check it out or recommend it to a friend: https://manlius.substack.com/
@networkscience @complexsystems @neuroscience
The new issue (n° 11) of #ComplexityThoughts will be out on Monday @ 5pm
If you are curious: from #NetworkScience to #UrbanSystems, #NetworkNeuroscience & #OriginOfLife in this issue (see images!)
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Not yet subscribed? It's free, check it out: https://manlius.substack.com/
Are you ready for the #ComplexityThoughts Issue #8?
From #NetworkScience to #DataScience, #NetworkNeuroscience & #NetworkMedicine in this issue.
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
Want to suggest a Thought to cover for our “From the community”? Use this link: https://forms.gle/FW4EHEmfWYyXj3TFA
It's incredible (to me, at least) that the community around #muxViz reached 700+ members.
MuxViz is our R-based package for the analysis of complex #multilayer #networks
https://github.com/manlius/muxViz
https://link.springer.com/book/10.1007/978-3-030-75718-2
#NetworkScience of interest for #ComputationalBiology #NetworkNeuroscience #ComputationalSocialScience @networkscience @complexsystems @neuroscience
Young researchers: are you looking for a fantastic summer school on network science?
Our Mediterranean School of Complex Networks is at its 8th in-person edition!
Great lectures and speakers, a friendly environment and a fantastic venue (Sicily). What are you waiting for?
Info: https://mediterraneanschoolcomplex.net/
Please, spread the word and boost!
#NetworkMedicine #Networks #NetworkScience #NetworkNeuroscience @netscisociety @networkscience @complexsystems @neuroscience
Do we need to hardwire hierarchical connectivity in recurrent neural networks to achieve predictive coding (PC)?
PC is an emergent consequence of an energy efficiency principle, leading to separate subpopulations of prediction and error units.
https://www.cell.com/patterns/fulltext/S2666-3899(22)00271-9
#ComplexSystems #NetworkNeuroscience #BioInspiredComputing #ComputationalBiology
@neuroscience @networkscience @complexsystems
@PessoaBrain @WiringtheBrain @kordinglab @ricard_sole @albertcardona @c4computation
PatternsPredictive coding is a consequence of energy efficiency in recurrent neural networksConnecting the computational principles of brain function to the physical constraints
of the brain is important for understanding neural information processing. This is
demonstrated by showing that the hallmarks of the predictive coding framework can
emerge in a recurrent neural network model that is constrained in its energy usage.
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