Modifying spiking precision in conductance-based neuronal models

作者：Billimoria Cyrus P; Dicaprio Ralph A; Prinz Astrid A; Quintanar Zilinskas Victor; Birmingham John T^*

来源：Network: Computation in Neural Systems , 2013, 24(1): 1-26.

DOI：10.3109/0954898X.2012.760057

• coding
• jitter
• temporal precision
• conductance-based model

The temporal precision of a neuron%26apos;s spiking can be characterized by calculating its %26quot;jitter,%26quot; defined as the standard deviation of the timing of individual spikes in response to repeated presentations of a stimulus. Sub-millisecond jitters have been measured for neurons in a variety of experimental systems and appear to be functionally important in some instances. We have investigated how modifying a neuron%26apos;s maximal conductances affects jitter using the leaky integrate-and-fire (LIF) model and an eight-conductance Hodgkin-Huxley type (HH8) model. We observed that jitter can be largely understood in the LIF model in terms of the neuron%26apos;s filtering properties. In the HH8 model we found the role of individual conductances in determining jitter to be complicated and dependent on the model%26apos;s spiking properties. Distinct behaviors were observed for populations with slow (%26lt;11.5 Hz) and fast (%26gt;11.5 Hz) spike rates and appear to be related to differences in a particular channel%26apos;s activity at times just before spiking occurs.

• 出版日期2013