基本信息

来源摘要/节选

公开展示已截断至最多 800 个字符;请访问原始来源查看完整上下文。

When we learn a new skill, the brain has to decide — cell by cell — what to change. New research from MIT suggests it can do that with surprising precision, sending targeted feedback to individual neurons so each one can adjust its activity in the right direction.

The finding echoes a key idea from modern artificial intelligence. Many AI systems learn by comparing their output to a target, computing an “error” signal, and using it to fine-tune connections within the network. A long-standing question has been whether the brain also uses that kind of individualized feedback. In an open-access study published in the Feb. 25 issue of the journal Nature , MIT researchers report evidence that it does.…

来源说明

当前只保存了公开页面节选,不代表原文全文。请以原始来源为准。

本页只呈现已做哈希绑定的来源证据,不包含基于旧正文或缺失原文的扩展推断。