作者: AM Zador , H Agmon-Snir , I Segev
DOI: 10.1523/JNEUROSCI.15-03-01669.1995
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摘要: Electrotonic structure of dendrites plays a critical role in neuronal computation and plasticity. In this article we develop two novel measures electrotonic that describe intraneuronal signaling arbitrary geometry. The log-attenuation Lij the efficacy, propagation delay Pij speed, signal transfer between any points i j. These are additive, sense if j lies k, total distance Lik is just sum partial distances: = + Ljk, similarly Pik Pjk. This property serves as basis for morphoelectrotonic transform (MET), graphical mapping from morphological into space. MET, either or replace anatomical fundamental unit so provide direct functional signaling. analysis holds transient signals, even those generated by nonlinear conductance changes underlying both synaptic action potentials. Depending on input location measure interest, single neuron admits many METs, each emphasizing different consequences dendritic structure. Using layer 5 cortical pyramidal neuron, illustrate collection METs lead to deeper understanding electrical behavior its tree. We then compare cell representative neurons other brain regions (cortical 2/3 pyramidal, region CA1 hippocampal cerebellar Purkinje). Finally, apply MET spines, extend calcium within spines. Our results demonstrate provides powerful tool obtaining rapid intuitive grasp properties trees.