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COMPETITIVE MACHINE LEARNING ACCURACY ON NEUROMORPHIC ARRAYS WITH CAPACITOR MEMORY DEVICES

机译:带有电容存储器的神经形态阵列的竞争性机器学习准确性

摘要

Optimized synapses for neuromorphic arrays are provided. In various embodiments, first and second single-transistor current sources are electrically connected in series. The first single-transistor current source is electrically coupled to both a first control circuit and second control circuit, free of any intervening logic gate between the first single-transistor current source and either one of the control circuits. The second single-transistor current source is electrically coupled to both the first control circuit and the second control circuit, free of any intervening logic gate between the second single-transistor current source and either one of the control circuits. A capacitor is electrically coupled to the first and second single-transistor current sources. A read circuit is electrically coupled to the capacitor. The first and second single-transistor current sources are adapted to charge the capacitor only when concurrently receiving a control signal from both the first and second control circuits. The first and second single- transistor current sources are adapted to discharge the capacitor only when concurrently receiving another control signal from both the first and second control circuit.
机译:提供了用于神经形态阵列的优化突触。在各种实施例中,第一和第二单晶体管电流源串联电连接。第一单晶体管电流源电耦合到第一控制电路和第二控制电路,而在第一单晶体管电流源和控制电路中的任一个之间没有任何中间逻辑门。第二单晶体管电流源电耦合至第一控制电路和第二控制电路,而在第二单晶体管电流源与控制电路中的任一个之间没有任何中间逻辑门。电容器电耦合到第一和第二单晶体管电流源。读取电路电耦合到电容器。第一和第二单晶体管电流源适于仅在同时从第一和第二控制电路两者接收到控制信号时才对电容器充电。第一和第二单晶体管电流源适于仅在同时从第一和第二控制电路接收另一控制信号时才使电容器放电。

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