基于初级视觉皮层的定向选择等级并行分布式处理模型的设计和模拟
Hui Wei1, Jingyong Ye1, Jiaqi Li1
1Laboratory of Algorithms for Cognitive Models, School of Computer Science, Fudan University, Shanghai 200082, China.
Biomimetics (Basel, Switzerland)
|July 28, 2023
概括
研究人员开发了一种脑启发的视觉处理计算模型. 这种平行分布式模型在现场可编程门阵列 (FPGA) 上实现,显示了低功耗,低延迟可穿戴视觉辅助系统的潜力.
科学领域:
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
- 生物医学工程 生物医学工程
背景情况:
- 了解人类视觉系统有助于为视力受损者开发辅助技术.
- 对生物视觉中神经信号处理的持续研究揭示了层次结构,使得类似大脑的计算模型成为可能.
研究的目的:
- 为初级视觉皮层方向选择提出一个并行分布式处理计算模型.
- 设计一种类似大脑的芯片模型,灵感来自神经生物学和视觉信号处理.
主要方法:
- 模拟视觉信号处理从视网膜到主要视觉皮层,考虑层次的受体场和并行分布式计算.
- 在现场可编程网关阵列 (FPGA) 上实现网络模型,用于模拟实验.
主要成果:
- 验证了在可编程设备上实施拟议模型的可行性.
- 证明了该模型在视觉计算中具有高速和高效的潜力.
结论:
- 开发的计算模型可以在FPGA上实现.
- 该模型适用于小型可穿戴设备,需要低功耗和低延迟.
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