神经复制因子假说:大脑中信息传递和搜索的新机制The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer and Search in the Brain |
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课程网址: | http://videolectures.net/nips2011_szathmary_fernando_brain/ |
主讲教师: | Chrisantha Fernando, Eörs Szathmáry |
开课单位: | 罗兰大学 |
开课时间: | 2012-01-25 |
课程语种: | 英语 |
中文简介: | 弗朗西斯克里克称杰拉尔德埃德尔曼的“神经达尔文主义”神经爱德曼主义,因为他无法识别任何进化单位,即繁殖和遗传变异的实体。虽然适应生产的充分条件是满足乔治·普莱斯的等式,大多数登山者,竞争性学习和强化学习算法以及爱德曼的神经元群确实满足的条件是达尔文的完全动态,其中存在信息传递在个体之间,即真正的进化单位,具有额外的算法属性,特别是进化到结构探索(提议)分布的能力。达尔文人口学习的这种能力激发了我们寻找大脑中真正的进化单位。为此,我们已经确定了几个具有不同程度生物合理性的候选单元,并且已经显示这些单元如何在时间尺度内从神经元组织中复制,从几毫秒到几分钟。因此,我们提出了一种合法称为达尔文神经动力学的理论。这是与克里安塔·费尔南多的联合工作。 |
课程简介: | Francis Crick called Gerald Edelman's "Neural Darwiniam" Neural Edelmanism because he could not identify any units of evolution, i.e. entities that multiply and have hereditary variation. Whilst a sufficient condition for the production of adaptation is to satisfy George Price's equation, a condition that most hill-climbers, competitive learning, and reinforcement learning algorithms, and Edelman's neuronal groups do satisfy, a full Darwinian dynamics of populations in which there is information transfer between individuals, i.e. true units of evolution, has additional algorithmic properties, notably the capacity for the evolution of evolvability to structure exploration (proposal) distributions. This capacity for Darwinian populations to learn has inspired us to search for true units of evolution in the brain. To this end we have identified several candidate units with varying degrees of biological plausibility, and have showed how these units can replicate within neuronal tissue at timescales from milliseconds to minutes. Thus we present a theory that is legitimately called Darwinian Neurodynamics. This is joint work with Chrisantha Fernando. |
关 键 词: | 进化单位; 结构探索; 神经元 |
课程来源: | 视频讲座网 |
最后编审: | 2019-09-06:lxf |
阅读次数: | 86 |