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Pulse-stream VLSI neural networks mixing analog and digital techniques

机译:混合模拟和数字技术的脉冲流VLSI神经网络

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The pulse-stream technique, which represents neural states as sequences of pulses, is reviewed. Several general issues are raised, and generic methods appraised, for pulsed encoding, arithmetic, and intercommunication schemes. Two contrasting synapse designs are presented and compared. The first is based on a fully analog computational form in which the only digital component is the signaling mechanism itself-asynchronous, pulse-rate encoded digital voltage pulses. In this circuit, multiplication occurs in the voltage/current domain. The second design uses more conventional digital memory for weight storage, with synapse circuits based on pulse stretching. Integrated circuits implementing up to 15000 analog, fully programmable synaptic connections are described. A demonstrator project is described in which a small robot localization network is implemented using asynchronous, analog, pulse-stream devices.
机译:审查了将神经状态表示为脉冲序列的脉冲流技术。对于脉冲编码,算术和互通方案,提出了几个一般性问题,并评估了通用方法。提出并比较了两种不同的突触设计。第一种是基于完全模拟的计算形式,其中唯一的数字成分是信令机制本身,即异步,脉率编码的数字电压脉冲。在该电路中,乘法发生在电压/电流域中。第二种设计使用更常规的数字存储器进行重量存储,并具有基于脉冲展宽的突触电路。描述了实现多达15000个模拟,完全可编程突触连接的集成电路。描述了一个演示器项目,其中使用异步,模拟,脉冲流设备实现了小型机器人本地化网络。

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