US 2023/0267318 A1Published application

Neuromorphic system for implementing spike timing dependent plasticity operation

AssigneeKorea Institute of Science and Technology

InventorsJoon Young KWAK, Sung Yun PARK, Min Jee KIM, Su Youn LEE

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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.

Claims9

Dependent claims

A neuromorphic system for implementing a spike timing dependent plasticity (STDP) operation, the neuromorphic system comprising:

a pre-synaptic neuron configured to output a pre-neuron spike;
a first signal generator configured to transform the pre-neuron spike output from the pre-synaptic neuron into a pre-neuron signal available for synaptic learning and output the pre-neuron signal;
a first driver configured to output the pre-neuron signal output from the first signal generator;
synapse units configured to receive the pre-neuron signal output from the first driver;
and
STDP control blocks configured to generate a post-neuron spike in response to the pre-neuron signal input through the synapse units, transform the generated post-neuron spike into a post-neuron signal available for synaptic learning and output the post-neuron signal to the synapse unit.

3 more elements

Dependencies are inferred from the claim text.