Schweighofer Nicolas, Doya Kenji, Fukai Hidekazu, Chiron Jean Vianney, Furukawa Tetsuya, Kawato Mitsuo
Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, 2-2-2, Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan.
Proc Natl Acad Sci U S A. 2004 Mar 30;101(13):4655-60. doi: 10.1073/pnas.0305966101. Epub 2004 Mar 22.
Despite unique well characterized neuronal properties, such as extensive electrical coupling and low firing rates, the role of the inferior olive (IO), which is the source of the climbing fiber inputs to cerebellar Purkinje cells, is still controversial. We propose that the IO stochastically recodes the high-frequency information carried by its synaptic inputs into stochastic, low-rate spikes in its climbing fiber output. Computer simulations of realistic IO networks showed that moderate electrical coupling produced chaotic firing, which maximized the input-output mutual information. This "chaotic resonance" may allow rich error signals to reach individual Purkinje cells, even at low firing rates, allowing efficient cerebellar learning.
尽管下橄榄核（IO）具有独特且已被充分表征的神经元特性，如广泛的电耦合和低发放率，但作为小脑浦肯野细胞攀缘纤维输入来源的下橄榄核的作用仍存在争议。我们提出，下橄榄核将其突触输入携带的高频信息随机重新编码为其攀缘纤维输出中的随机、低发放率尖峰。对真实下橄榄核网络的计算机模拟表明，适度的电耦合会产生混沌发放，这使输入-输出互信息最大化。这种“混沌共振”可能使丰富的误差信号即使在低发放率时也能到达单个浦肯野细胞，从而实现高效的小脑学习。
