Brette Romain, Gerstner Wulfram
Dept. d'Informatique, Equipe Odyssée, Ecole Normale Supérieure, 45 rue d'Ulm, 75230 Paris Cedex 05, France.
J Neurophysiol. 2005 Nov;94(5):3637-42. doi: 10.1152/jn.00686.2005. Epub 2005 Jul 13.
We introduce a two-dimensional integrate-and-fire model that combines an exponential spike mechanism with an adaptation equation, based on recent theoretical findings. We describe a systematic method to estimate its parameters with simple electrophysiological protocols (current-clamp injection of pulses and ramps) and apply it to a detailed conductance-based model of a regular spiking neuron. Our simple model predicts correctly the timing of 96% of the spikes (+/-2 ms) of the detailed model in response to injection of noisy synaptic conductances. The model is especially reliable in high-conductance states, typical of cortical activity in vivo, in which intrinsic conductances were found to have a reduced role in shaping spike trains. These results are promising because this simple model has enough expressive power to reproduce qualitatively several electrophysiological classes described in vitro.
基于最近的理论发现，我们引入了一种二维积分发放模型，该模型将指数脉冲机制与适应方程相结合。我们描述了一种用简单电生理协议（电流钳脉冲和斜坡注入）估计其参数的系统方法，并将其应用于一个规则发放神经元的详细电导模型。我们的简单模型能够正确预测详细模型在注入噪声突触电导时96%的脉冲时间（±2毫秒）。该模型在高电导状态下特别可靠，这种状态在体内皮质活动中很典型，在这种状态下发现内在电导在塑造脉冲序列中的作用减弱。这些结果很有前景，因为这个简单模型具有足够的表达能力来定性地重现体外描述的几种电生理类别。
