such as describing, classifying and explaining phenomena in the brain. We use examples like „default mode network“, „cortical column“ and „hierarchy“ to show when developing concepts succeeds or fails to advance our understanding of the brain (2/2)
#neuroskyence
#philsky
#edusky
#cogsci

You can access the preprint here: doi.org/10.1017/S014...

Also, consider writing a commentary if this falls in your area of expertise! (3/3)

#neuroskyence
#philsky
#philsci

Our philosophical framework has foundational implications for psychological models of mental effort, medium independence of computation and comparing biological cognition and AI (2/3)

One of my favorite papers! If you want to go further and delve intro the philosophy of science discussion: www.cambridge.org/core/journal...
🐸🧠

This is also a live debate in philosophy of science about eliminativism vs. pluralism regarding concepts with multiple meanings
Attention and emotion are both cases

press.uchicago.edu/ucp/books/bo...

link.springer.com/article/10.1...

Finally, Patrick McGivern pronouncing the Metabolic Turn in philosophy of cognition, with work on the role of metabolism for non-neural cognition, such as bacteria chemotaxis (4/4)

Thanks to all speakers and participants for the great Q&A!

#philsky
#neuroskyence
#cognition
#metabolism

Turning to evolution, Matthew Sims (in joint work w Marta Halina) explained how predictive brain models may have evolved from corollary discharge, which itself resulted from the need to distinguish external input from sensory feedback once nervous systems relied on sensorimotor integration (3/4)

Next was a talk by @jtheriault.bsky.social presenting a metabolic model of „activity“ in neuroimaging, suggesting that stimulus elicited BOLD responses Track prediction error processing in the brain, but not baseline metabolic load related to processing predictions (2/4)

There’s also the Journal of Unsolved questions that only accepts failed experiments etc

www.mainz.uni-mainz.de/activities/j...

Agreed! I’m usually skeptical of edited volumes,but could see the value here bc many will know failure cases from their respective disciplines

I wrote on conceptual retirement here www.sciencedirect.com/science/arti...
This preprint also has more general thoughts on revising concepts (basis for one of the chapters): philsci-archive.pitt.edu/21213/

I’m also very interested in that (as I’m writing a book on successful and failed conceptual development atm) @smellosopher.bsky.social has a paper on failure in neuroscience here www.frontiersin.org/journals/neu...
But yes, there might be a problem of the archive in finding out about failures, no?

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