Tunable neuromimetic integrated system for emulating cortical neuron models.
Tunable neuromimetic integrated system for emulating cortical neuron models.
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DOI：
10.3389/fnins.2011.00134
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发表时间：
2011
影响因子：
4.3
通讯作者：
Saïghi S
中科院分区：
文献类型：
--
作者：
Grassia F;Buhry L;Lévi T;Tomas J;Destexhe A;Saïghi S
如今，有许多软件解决方案可用于模拟神经元模型。与基于软件的系统相比，基于硬件的解决方案不太传统，它通常结合了数字和模拟形式的计算。在之前的工作中，我们设计了几种神经模拟芯片，包括我们在本文中使用的戈尔韦芯片。这些硅神经元基于霍奇金-赫胥黎形式主义，并且由于可调参数，它们经过优化，可再现多种神经元行为。由于模拟芯片中的工艺变化和器件不匹配，我们在电压钳模式下使用全定制拟合方法来调整我们的神经模拟集成电路。通过将它们与这些细胞的实验电生理数据进行比较，我们表明这些电路可以再现皮质细胞类型的主要放电特征。在本文中，我们提出了我们的系统的实验测量，该系统模拟了四种最突出的生物细胞：快速尖峰、规则尖峰、本质爆发和低阈值尖峰神经元，并将其引入专用于皮质神经元模拟的模拟神经模拟集成电路中。该硬件和软件平台将允许改进混合技术，也称为“动态钳”，该技术包括连接人工神经元和生物神经元以研究神经元回路的功能。
Nowadays, many software solutions are currently available for simulating neuron models. Less conventional than software-based systems, hardware-based solutions generally combine digital and analog forms of computation. In previous work, we designed several neuromimetic chips, including the Galway chip that we used for this paper. These silicon neurons are based on the Hodgkin–Huxley formalism and they are optimized for reproducing a large variety of neuron behaviors thanks to tunable parameters. Due to process variation and device mismatch in analog chips, we use a full-custom fitting method in voltage-clamp mode to tune our neuromimetic integrated circuits. By comparing them with experimental electrophysiological data of these cells, we show that the circuits can reproduce the main firing features of cortical cell types. In this paper, we present the experimental measurements of our system which mimic the four most prominent biological cells: fast spiking, regular spiking, intrinsically bursting, and low-threshold spiking neurons into analog neuromimetic integrated circuit dedicated to cortical neuron simulations. This hardware and software platform will allow to improve the hybrid technique, also called “dynamic-clamp,” that consists of connecting artificial and biological neurons to study the function of neuronal circuits.
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作者：
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