Before revision: We show that associative networks of threshold linear units endowed with Hebbian learning  can operate closer to the Gardner optimal storage capacity than their binary counterparts and even surpass this bound .
After revision: We show that associative networks of threshold linear units endowed with Hebbian learning can operate closer to such Gardner bound than binary networks, and even surpass this bound .