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LUT BASED SYNAPSE WEIGHT UPDATE SCHEME IN STDP NEUROMORPHIC SYSTEMS

机译:STDP神经系统中基于LUT的突触权重更新方案

摘要

A method and system are provided for updating synapse weight values in neuromorphic system with Spike Time Dependent Plasticity model. The method includes selectively performing, by a hardware-based synapse weight incrementer or decrementer, one of a synapse weight increment function or decrement function, each using a respective lookup table, to generate updated synapse weight values responsive to spike timing data. The method further includes storing the updated synapse weight values in a memory. The method additionally includes performing, by a hardware-based processor, a learning process to integrate the updated synapse weight values stored in the memory into the Spike Time Dependent Plasticity model neuromorphic system for improved neuromorphic simulation.
机译:提供了一种方法和系统,该方法和系统利用穗时间依赖性可塑性模型更新神经形态系统中的突触权重值。该方法包括通过基于硬件的突触权重增加器或减量器选择性地执行突触权重增加函数或减量函数之一,每个都使用各自的查找表,以响应于尖峰定时数据来生成更新的突触权重值。该方法还包括将更新的突触权重值存储在存储器中。该方法还包括通过基于硬件的处理器执行学习过程,以将存储在存储器中的更新的突触权重值集成到峰值时间依赖性可塑性模型神经形态系统中,以改善神经形态仿真。

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