🧬 1. Neuro-AI: Bridging Systems Neuroscience and Deep Learning

Elena

Despite rapid progress in deep learning, its inspiration from biology remains shallow. Conversely, systems neuroscience lacks tools for building predictive, functional models of cognition at scale.

We recommend reviewing:

1) Yamins & DiCarlo (2016) – Using goal-driven deep learning models to understand sensory cortex
https://www.nature.com/articles/nn.4244

2) Richards et al. (2019) – A deep learning framework for neuroscience
https://www.nature.com/articles/s41583-019-0187-4

3) Kriegeskorte & Douglas (2018) – Cognitive computational neuroscience
https://www.nature.com/articles/s41583-018-0029-7

Key idea: Rather than merely drawing metaphors from the brain, we should formalize brain function as a set of learnable, testable, and simulatable constraints.

kla-2-4g

I had something critically important mapped out about the brain but lacking any response and not having educational credibility, I decided to at least receive the credit by sharing this information with the community in general.

I will further this knowledge with A.I. for a response and maybe get more info.
What I have written out is just incredible.
It starts out, well even this may provide my key takeaway.

Another hours and I should have something. It should be critically important.

GK’s Knowing… Explained!

kla-2-4g

Working on sending a transcript to a publisher for an advance replete with story examples on how the human brain intellect actually functions. This is not about… HIGH I.Q.'s. I have a brain illustration with my concept. It is being generated. Have to keep at it, but need to take all this information I’m bring in the proper format, etc.