https://www.nature.com/articles/s41467-023-40141-z

Experimental validation of the free-energy principle with in vitro neural networks - Nature CommunicationsEmpirical applications of the free-energy principle entail a commitment to a particular process theory. Here, the authors reverse engineered generative models from neural responses of in vitro networks and demonstrated that the free-energy principle could predict how neural networks reorganized in response to external stimulation.www.nature.com


์‹ ๊ฒฝ๊ณผํ•™๊ณ„ ๊ถŒ์œ„์ž ์นผ ํ”„๋ฆฌ์Šคํ„ด ๋ฐ•์‚ฌ์˜


๋‡Œ์˜ ํ•™์Šต ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ์ด๋ก ์„ ์ผ๋ณธ ์—ฐ๊ตฌ์ง„๋“ค์ด


์‹คํ—˜์ ์œผ๋กœ ์ž…์ฆํ•จ ๋„ค์ด์ฒ˜์— ์˜ฌ๋ผ์˜ด


์ด์— ๋”ฐ๋ผ ๊ธฐ์กด์˜ ๋ฐฉ์‹์ด ์•„๋‹Œ ๋‡Œ์˜ ์‹ ๊ฒฝ๋ง์ฒ˜๋Ÿผ ํ•™์Šตํ•˜๋Š” AI๊ฐ€ ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์ฃผ์žฅ์ด ์žˆ์Œ

https://deniseholt.us/fristons-ai-law-is-proven-fep-explains-how-neurons-learn/

Fristonโ€™s AI Law is Proven: FEP Explains How Neurons Learn โ€“ Spatial Web AIFristonโ€™s AI Law is Proven: FEP Explains How Neurons Learn โ€“ Spatial Web AIdeniseholt.us