To rule out the relationship between cytoarchitecture and function, one needs to be sure they are trying to map correct functions. What makes people confident about it?
I want to see more evo-devo in brain-inspired AI
Alex Efremov
Alex Efremov
𝗛𝗼𝘄 𝗱𝗼 𝗯𝗿𝗮𝗶𝗻 𝗮𝗿𝗲𝗮𝘀 𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝘁𝗼 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻?
"High-resolution activity maps of PFC did NOT align with cytoarchitecturally defined subregions."
Key tenet in neuroscience is that cytoarchitectonic boundaries correspond to functional ones.
NB: study in the mouse
#neuroskyence
doi.org/10.1038/s415...
A neurodevelopment-inspired warm-up strategy to address uncertainty calibration: networks are briefly trained on random noise and labels before exposure to real data, leading to well-calibrated confidence and strong detection of unknown inputs.
Cool results!
#NeuroAI
www.nature.com/articles/s42...
www.nature.com
Cheon and Paik show that overconfidence in deep neural networks arises from standard initialization practices, and that brief warm-up training with random noise improves uncertainty calibration and meta-cognitive recognition of unknown inputs.
Could it be that the cerebellum is a perfect area to study the duality of prediction and control?
Alex Efremov
I don’t think AI’s success in coding will automatically translate to other fields. That level of performance only works where the output is as easily verifiable as code; and not many domains fit that bill. 2/2
This summer my lab's journal club somewhat unintentionally ended up reading papers on a theme of "more naturalistic computational neuroscience". I figured I'd share the list of papers here 🧵:
