NEURON CORE WITH TIME-EMBEDDED FLOATING POINT ARITHMETIC

    公开(公告)号:US20220230059A1

    公开(公告)日:2022-07-21

    申请号:US17579400

    申请日:2022-01-19

    Abstract: Provided is a method of operating a neuron in a neuromorphic system. The method includes evaluating a membrane potential value at a corresponding time when receiving an input spike, time-modulating a synaptic weight of the membrane potential value and converting the time-modulated synaptic weight into a membrane potential value at a reference time, and generating an output spike when the membrane potential value at the reference time exceeds a certain threshold value. The membrane potential value at the reference time is represented by a floating point number including a predetermined bit of exponent and mantissa, and the floating point number includes time information. The method further includes accessing a memory and scanning a neural state variable when a timer is updated to “0” to update the neural state variable to an updated value at a reference time.

    NEUROMORPHIC SYSTEM FOR IMPLEMENTING SPIKE TIMING DEPENDENT PLASTICITY OPERATION

    公开(公告)号:US20230267318A1

    公开(公告)日:2023-08-24

    申请号:US17872558

    申请日:2022-07-25

    CPC classification number: G06N3/049

    Abstract: Provided is a neuromorphic system for synaptic learning in a spiking neural network (SNN)-based neuromorphic array structure. Control blocks including a post-synaptic neuron, which generates a post-neuron spike, are disposed on output lines of a synapse array to implement a spike timing dependent plasticity (STDP) operation such that synaptic learning can be stably implemented in an SNN neuromorphic array. Also, a lateral inhibition circuit may be added. When a post-neuron spike is generated by an STDP control block connected to any one output line, the lateral inhibition circuit inhibits STDP control blocks connected to other output lines from generating spikes. Accordingly, learning selectivity can be improved, and thus the performance of an STDP algorithm can be improved.

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