Is biophysical modelling in neuroscience dead?
Note I do this all the time. Colleague suggested that however yes, it is dead, mainly due to the findings of Eve Marder et al: that neurons properties are massively degenerate. So no point in modelling various ion channel dynamics in detail.
I have to admit this keeps me awake at night wondering if I should pack it all in and just boot up a convolutional neural network, like the rest of computational neuroscientists seem to be doing these days.
"female researchers appear to contribute more to the public good of #openscience, while their male colleagues focus on private reputation"
https://www.sciencedirect.com/science/article/abs/pii/S0048733323001580
People keep telling me that #ChatGPT is amazing for proofreading text and improving scientific writing.
I just gave #GPT4 a section of a grant proposal and it made 11 suggestions, none of which were worth keeping (often adding or removing a comma, or repeating a preposition in a list).
More interestedly, a number of its suggestions were identical to my originals.
#ComplexityThoughts is back after the summer break!
In the issue #14 amazing new papers, from #NetworkScience foundations to #OriginOfLife #Neuroscience and #ComputationalSocialScience
Unraveling complexity: building knowledge, one paper at a time!
Not yet subscribed? It's never too late, and it's 100% free.
For all the folks starting their #PhD (or their master thesis) today - a reminder why your PhD advisor can solve a problem so "easily" ...
More people are receiving treatment than ever, yet outcomes are no better. Why?
One answer: better outcomes require improved quality of care, not just more access to care. This new piece in TIME by Jamie Ducharme is worth the read. #mentalhealth
Hot off the press! 📰
It took a minute, but I'm glad it's finally out:
A Critical Perspective on Neural Mechanisms in Cognitive Neuroscience: Towards Unification
https://journals.sagepub.com/doi/10.1177/17456916231191744
'The “pooled fund” is designed to reduce the high costs of developing new treatments. It would do so partly by increasing the number of experimental drugs being tested, raising the chances that some will succeed. It would also reduce the risks of unsuccessful new products by bringing in capital from non-profit backers who do not seek financial returns.'
https://www.ft.com/content/2f939fbd-06ee-46c5-a956-800266d5dd86
Provocative
As a young psychologist, this chills me to my bones. Apparently is possible to reach the stratosphere of scientific achievement, to publish over and over again in “high impact” journals, to rack up tens of thousands of citations, and for none of it to matter. Every marker of success, the things that are supposed to tell you that you're on the right track, that you're making a real contribution to science—they might mean nothing.
(I agree: time to rethink that any one of us is how this works).
I’m so sorry for psychology’s loss, whatever it is
https://www.experimental-history.com/p/im-so-sorry-for-psychologys-loss
I managed to write my first post for #blaugust, on the topic of fMRI neurofeedback.
Delving into the details of this topic, and particularly thinking about how this method could be used as a closed-loop form of feedback for testing predictions from network control theory was a lot of fun. And hopefully it will be useful for people who wanna learn more about.
https://neurofrontiers.blog/fmri-neurofeedback-whats-the-fuss/
These probes capture incredible detail in the spatial structure of extracellular action potentials.
#introduction
Hey everyone !
I'm Gabriel Béna, I'm a French PhD student @ Imperial College London, under the supervision of @neuralreckoning.
I'm interested in using AI methods and ideas to uncover computational insights about the brain(s), and conversely to use biological insights to further advance AI.
My latest reserach has focused on studying modularity in networks under ressource constraints, and showing how functional and structural modularity may not be as linked as one may think.
I also study SNNs, especially in the context of multimodal integration (working in collaboration with @marcusghosh).
Having never jumped on the X-twitter train, I have high hopes that we can foster a real and fruitful community of peers here further on, and I'm excited to hear from you all :)
Cheers
And since we’re on the topic, here’s the older companion of this post, on EEG neurofeedback:
I managed to write my first post for #blaugust, on the topic of fMRI neurofeedback.
Delving into the details of this topic, and particularly thinking about how this method could be used as a closed-loop form of feedback for testing predictions from network control theory was a lot of fun. And hopefully it will be useful for people who wanna learn more about.
https://neurofrontiers.blog/fmri-neurofeedback-whats-the-fuss/
Pretty even-handed assessment of the success and failure of the EU-funded Human Brain Project, which is ending. Probably the most impressive thing is that, given its troubled inception, it produced some meaningful, if rather ad hoc, brain science. #HBP #brain #simulation #neuroscience
We have moved to neuromatch.social: https://neuromatch.social/@neurofrontiers
We're a neuroscience blog trying to make neuroscience accessible for everyone! Check it out here: https://neurofrontiers.blog