Low-power　and　low-variability　artificial　neuronal　devices　are　highly　desired　for　high-performance　neuromorphic　com-puting.In　this　paper,an　oscillation　neuron　based　on　a　low-variability　Ag　nanodots(NDs)threshold　switching(TS)device　with　low　operation　voltage,large　on/off　ratio　and　high　uniformity　is　presented.Measurement　results　indicate　that　this　neuron　demon-strates　self-oscillation　behavior　under　applied　voltages　as　low　as　1　V.The　oscillation　frequency　increases　with　the　applied　voltage　pulse　amplitude　and　decreases　with　the　load　resistance.It　can　then　be　used　to　evaluate　the　resistive　random-access　memory(RRAM)synaptic　weights　accurately　when　the　oscillation　neuron　is　connected　to　the　output　of　the　RRAM　crossbar　ar-ray　for　neuromorphic　computing.Meanwhile,simulation　results　show　that　a　large　RRAM　crossbar　array(＞128×128)can　be　sup-ported　by　our　oscillation　neuron　owing　to　the　high　on/off　ratio(＞108)of　Ag　NDs　TS　device.Moreover,the　high　uniformity　of　the　Ag　NDs　TS　device　helps　improve　the　distribution　of　the　output　frequency　and　suppress　the　degradation　of　neural　network　recognition　accuracy(＜1％).Therefore,the　developed　oscillation　neuron　based　on　the　Ag　NDs　TS　device　shows　great　poten-tial　for　future　neuromorphic　computing　applications.