Philipp Haueis
@phaueis.bsky.social
1.5K followers 700 following 69 posts
Philosopher of science working on concepts, experiments, multiscale modeling and societal issues in neuroscience and climate research. Currently assistant prof @ Bielefeld University, Germany website: philipp-haueis.de
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phaueis.bsky.social
I feel honored that „A generalized patchwork approach to scientific concepts“ is the editors‘ choice in the current @thebjps.bsky.social volume! 🎉🙏 It is now permanently free access:
doi.org/10.1086/716179

#philsky
#EduSky
University of Chicago Press Journals: Cookie absent
doi.org
phaueis.bsky.social
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...
Reposted by Philipp Haueis
openlab.bsky.social
School of Ideas in Neuroscience 2025 has started today with a talk by @phaueis.bsky.social!
Reposted by Philipp Haueis
openlab.bsky.social
The deadline is approaching! We wait for your applications till Monday, July 21st!
phaueis.bsky.social
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
Philosopher Patrick McGivern, wearing a white shirt and blue jeans, explaining the „metabolic turn“, i.e. the importance of metabolism for understanding cognition
phaueis.bsky.social
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)
Philosopher Matthew Sims, wearing a black shirt and beige pants showing a slide on ctenophores, a creature with external passive sensory receptors and epithelial sheets for locomotion
phaueis.bsky.social
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)
Neuroscientist Jordan Theriault wearing a blue shirt and black pants pointing at a slide that shows the relation between glucose metabolism and signals measured with functional magnetic resonance imaging.
phaueis.bsky.social
Had a great session on the relation between metabolism and cognition at BSPS Glasgow, organized by @davidcolaco.bsky.social . We presented joint work on using metabolism to constrain and generate cognitive models (1/2)
Philosopher David Colaço, eating a black suit jacket, white shirt and black tie in front of an image with a white balloon with „energy“ written in blue, a blue sky and white clouds on the back, some green tree canopies in front.
phaueis.bsky.social
Agreed! I’m usually skeptical of edited volumes,but could see the value here bc many will know failure cases from their respective disciplines
Reposted by Philipp Haueis
irisvanrooij.bsky.social
If you agree with our 5 requests to our universities, please sign 🖊️ the open letter and don’t forget to confirm your email! ☺️🙏

openletter.earth/open-letter-...
• Resist the introduction of AI in our own software systems, from Microsoft to OpenAI to Apple. It is not in our interests to let our processes be corrupted and give away our data to be used to train models that are not only useless to us, but also harmful.

• Ban AI use in the classroom for student assignments, in the same way we ban essay mills and other forms of plagiarism. Students must be protected from de-skilling and allowed space and time to perform their assignments themselves.

• Cease normalising the AI hype and the lies which are prevalent in the technology industry's framing of these technologies. The technologies do not have the advertised capacities and their adoption puts students and academics at risk of violating ethical, legal, scholarly, and scientific standards of reliability, sustainability, and safety.

• Fortify our academic freedom as university staff to enforce these principles and standards in our classrooms and our research as well as on the computer systems we are obliged to use as part of our work. We as academics have the right to our own spaces.

• Sustain critical thinking on AI and promote critical engagement with technology on a firm academic footing. Scholarly discussion must be free from the conflicts of interest caused by industry funding, and reasoned resistance must always be an option.
phaueis.bsky.social
It’s an epistemic notion of reduction, where it’s about the explanatory knowledge gained. I’m not defending it as the right notion of reduction, just clarifying what Dan Burnston means by it. If you have a stronger view of reduction, then sure it’s not reductive.
phaueis.bsky.social
I mean it all depends about what you mean by „reductive“. For the author of the paper it means that 1) there’s a conceptual link between decision and accumulation to bound and 2) that the neural models have explanatory advantages (more detailed prediction, unification, explaining anomalies) (1/2)
phaueis.bsky.social
whether there are implicit ontological assumptions even in this epistemic approach, or whether we’d allow ‚weird‘ reductions where neuroscience is reduced to some future higher order cybernetic science. Check out the paper here link.springer.com/article/10.1...

#philsky
#neuroskyence
#philsci
Epistemic reduction of the concept of ‘decision’ - Synthese
“Reduction” is a widely rejected view of how commonsense psychological notions relate to neuroscience. I argue that there is a particular view of reduction on which reduction of the key commonsense co...
link.springer.com
phaueis.bsky.social
As the semester days get hot, our Phil neuroscience readings are hot off the press: today we talked about Dan Burnston’s latest: epistemic reduction of ‚decision‘ to accumulate to bound models in neuroscience. We discussed which aspects of decision can or cannot be reduced by these models (1/2)
Reposted by Philipp Haueis
dlevenstein.bsky.social
Serious question:

why is theory development in neuroscience so damn hard?
Reposted by Philipp Haueis
bradleybusch.bsky.social
New research from MIT found that those who used ChatGPT can’t remember any of the content of their essays.

Key takeaway: the product doesn’t suffer, but the process does. And when it comes to essays, the process *is* how they learn.

arxiv.org/pdf/2506.088...
phaueis.bsky.social
(2/2) the role of information theory for efficient coding explanations, realistic and idealistic interpretations of computational models, and how Chirimuuta‘s thinking on this developed into the book „The Brain Abstracted“ mitpress.mit.edu/978026254804...

#neuroskyence
#philsci
#philosophy
#edusky
The Brain Abstracted
All science needs to simplify, but when the object of research is something as complicated as the brain, this challenge can stretch the limits of scientific ...
mitpress.mit.edu
phaueis.bsky.social
Another gem from our Phil Neuroscience seminar: Mazviita Chirimuuta on canonical computations and explanation in neuroscience: link.springer.com/article/10.1...
We discussed what distinguishes mechanistic from minimal model explanations, how to identify neural details relevant to explanation (1/2)
Reposted by Philipp Haueis
lehrgutblog.bsky.social
🤝 "Philosophisches Diskutieren"
🧭 von Philipp Haueis (Hannover / Bielefeld) @phaueis.bsky.social
👉 jetzt auf lehrgut.org
phaueis.bsky.social
2/2 (when should we accept or reject characterizations of phenomena?), and big picture issues (realism vs conventionalism). Here’s the link to Dave’s paper: www.sciencedirect.com/science/arti...
Also stay tuned for his upcoming book on the history of memory transfer and the philosophy of memory!
Rip it up and start again: The rejection of a characterization of a phenomenon
In this paper, I investigate the nature of empirical findings that provide evidence for the characterization of a scientific phenomenon, and the defea…
www.sciencedirect.com
phaueis.bsky.social
Today I taught the paper on “memory transfer” by the great @davidcolaco.bsky.social in my class at @iphilluh.bsky.social . The was phil sci at its best: general conceptual work (what is a scientific phenomenon?) with a concrete historical case on interesting science, a normative angle 1/2