I feel not enough people know about the abstract arts dataset Delaunay. I'm using it for my comparison of pre-training vs MAML in my upcoming work and wanted to share it: https://t.co/Z5tU8uwx3v leave a comment if you have thoughts!
Is neuromorphic computing disruptive enough to advance our understanding of the brain & make the design & working of (bio)electronic devices efficient & scalable? ask Samit Chakrabarty @sc_laboratories & Mihai A. Petrovici @NeuroTMA for #RDBioelectronics
https://t.co/9ZdLsyYlr4
🟣Is neuromorphic computing disruptive enough to advance our understanding of the brain & make the design & working of (bio)electronic devices efficient & scalable? ask Samit Chakrabarty @sc_laboratories & @NeuroTMA for #RDBioelectronics
https://t.co/mXb0xmkde8
#bioelectronics
Curious to learn more about brain-inspired #AI? Take a look at this study which examines conceptual, technical, and ethical issues raised by the development and use of brain-inspired AI #CRBSummerRead 🧠
https://t.co/SrlgI0Okf4
@fchollet a cool recent paper on cortical circuit function is this one, Bengio was actually a co-author on it
has cool ties with predictive coding, biologically plausible/backprop free learning
https://t.co/ZDdwCMYm5w
What’s the point of strong spike frequency adaptation in serotonin neurons?
This new work offers a clue: adaptation lets neurons broadcast a prediction of their future output, preventing slow downstream regions from lagging behind. 💡
https://t.co/4ZnEIfJGHN