美國東部時(shí)間5月9日,《Nature》在線發(fā)表了一篇AI研究成果論文,在神經(jīng)學(xué)和人工智能領(lǐng)域引起了轟動(dòng)。這篇論文由英國DeepMind團(tuán)隊(duì)(阿法狗和阿法元的開發(fā)者)與University College London(倫敦大學(xué)學(xué)院)合著。
This paper came out of the blue, like a shot, and it’s very exciting. It is striking that the computer model, coming from a totally different perspective, ended up with the grid pattern we know from biology.
約翰霍普金斯大學(xué)神經(jīng)學(xué)家Francesco Savelli和James Knierim也在同期《Nature》上發(fā)表了題為《AI mimics brain codes for navigation》的新聞評(píng)述,贊嘆道:
It is interesting that the network, starting from very general computational assumptions that do not take into account specific biological mechanisms, found a solution to path integration that seems similar to the brain’s. That the network converged on such a solution is compelling evidencethat there is something special about grid cells’activity patterns that supports path integration.