A neural network circuit is provided with which it is possible to significantly reduce the area occupied by the connection unit of an FC-type neural network circuit. An analog-type neural network circuit SS constituting a learning device having a self-learning function and corresponding to a brain function, wherein the neural network SS comprises: a plurality (n) of input-side neurons NR; a plurality (m, and including cases when n=m) of output-side neurons NR; (n × m) connection units CN each connecting one input-side neuron NR and one output-side neuron NR; and a self-learning control unit C, the (n × m) connection units CN being constituted from connection units CN corresponding to only the positive weighting function as a brain function, and connection units CN corresponding to only the negative weighting function as the brain function.
FIXED-WEIGHTING-CODE LEARNING DEVICE