In Defense Of Dynamics
NeuroAI is all the rage right now, and for good reason. LLMs, ChatGPT, and now the plethora of AI chatbots really are a major breakthrough. Still, there is clearly a lot we can still learn from the brain. AI is trained on the entire internet and uses huge amounts of power. Yet the human brain learns quickly and runs on the power of a single donut. So obviously, there is much more to learn from the brain with respect to AI. That being said, I really feel that there is more to learn about the brain that just isn’t about translating it for AI. I want to outline one of those reasons here. Non-ML tools such as dynamics are useful for understanding the brain, and are still worth learning, improving, and using, even if they don’t directly or indirectly further the neuroAI mission. Dynamics is, at its core, the mathematics of change. Neurons fire, voltages fluctuate, neurotransmitters orchestrate activity across ensembles of cells. And in the end, a computation is done. We neurodynamists use t...
