The University of Manchester, United Kingdom.
J Neurosci Methods. 2012 Sep 15;210(1):93-109. doi: 10.1016/j.jneumeth.2012.01.019. Epub 2012 Feb 11.
This paper overviews the design and implementation of three neuromorphic integrated circuits developed for the COLAMN ("Novel Computing Architecture for Cognitive Systems based on the Laminar Microcircuitry of the Neocortex") project. The circuits are implemented in a standard 0.35 μm CMOS technology and include spiking and bursting neuron models, and synapses with short-term (facilitating/depressing) and long-term (STDP and dopamine-modulated STDP) dynamics. They enable execution of complex nonlinear models in accelerated-time, as compared with biology, and with low power consumption. The neural dynamics are implemented using analogue circuit techniques, with digital asynchronous event-based input and output. The circuits provide configurable hardware blocks that can be used to simulate a variety of neural networks. The paper presents experimental results obtained from the fabricated devices, and discusses the advantages and disadvantages of the analogue circuit approach to computational neural modelling.
本文概述了为 COLAMN（“基于新皮质层状微电路的认知系统的新型计算架构”）项目开发的三个神经形态集成电路的设计和实现。这些电路是在标准的 0.35 μm CMOS 技术中实现的，包括尖峰和突发神经元模型，以及具有短期（促进/抑制）和长期（STDP 和多巴胺调制 STDP）动力学的突触。与生物学相比，它们能够以加速的时间执行复杂的非线性模型，并且功耗低。神经动力学使用模拟电路技术实现，具有数字异步基于事件的输入和输出。这些电路提供可配置的硬件模块，可用于模拟各种神经网络。本文介绍了从制造的设备中获得的实验结果，并讨论了模拟电路方法在计算神经建模中的优缺点。
