A　spiking-neuron　based　cognitive　model　with　classical　conditioning　behaviors　is　proposed.　With　a　reflex　arc　structure　and　a　reinforcement　learning　method　based　on　the　Hebb　rule,　the　cognitive　model　possesses　the　property　of　＇stimulate-response-reinforcement＇　and　can　simulate　the　learning　process　of　classical　conditioning.　An　experiment　on　the　inverted　pendulum　validated　that　this　model　can　learn　the　balance　control　strategy　by　classical　conditioning.