随机添加器电路具有改进的热输出输出
Mateja Batelić1, Mario Stipčević2
1Department of Physics, Faculty of Science, University of Zagreb, Bijenička Cesta 32, 10000 Zagreb, Croatia.
Entropy (Basel, Switzerland)
|December 23, 2023
概括
研究了用于数字总和的随机脉冲计算 (RPC) 电路. 新的确定性和非确定性加法器提供了更好的输出和更低的要求,推进了可编程RPC硬件.
科学领域:
- 神经形态工程的神经形态工程
- 信息理论是信息理论.
- 计算机科学 计算机科学
背景情况:
- 随机脉冲计算 (RPC) 是一种由生物神经元启发的新兴计算范式.
- 在RPC电路中的信息处理,特别是诸如加法之类的算术操作,需要进行研究.
- 基于的指标对于评估RPC电路的效率和性能至关重要.
研究的目的:
- 分析和改进随机脉冲计算电路中的信息处理,用于数的总和.
- 设计具有增强输出和减少要求的新型RPC加值电路.
- 通过实验验证拟议的RPC添加器设计的性能.
主要方法:
- 使用预算和相对科尔摩戈罗夫-西奈的信息理论分析.
- 确定性和非确定性随机脉冲计算加量器电路的设计和实施.
- 使用量子源和可重新配置的逻辑设备的实验实现.
主要成果:
- 与先前的技术相比,拟议的决定式加法器显示出明显改善的输出.
- 一个新的精确的非决定式加法器证明了减少了额外的要求.
- 实验验证证证实了新电路的精确数学结果和接近最大输出.
- 开发的电路为生成提供了负担得起的硬件解决方案.
结论:
- 拟议的随机脉冲计算添加器电路满足了构建可编程RPC系统的要求.
- 这些进步有助于开发高效和高性能的神经形态计算硬件.
- 该研究强调了基于的设计原则在随机脉冲计算中的潜力.
相关概念视频
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01:16Cascaded Op Amps
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01:20Design Example: Capacitance Multiplier Circuit
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01:04Random Error
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01:13Integrator and Differentiator
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