In neural network, synaptic strength could be seen as probability to transmit impulse, and function could exist from transmission probability to synaptic strength. If the function satisfies constraint such as continuity and monotonicity, neural network  would always go to one unique fixed point. A biological image classifier is proposed to utilize this fixed point .
Synaptic strength can be seen as probability to propagate impulse, and function could exist from propagation activity to synaptic strength. If the function satisfies constraints such as continuity and monotonicity, neural network under external stimulus would always go to fixed point, and there could be one-one-one mapping between external stimulus and synaptic strength at fixed point. In other words, neural network "memorizes" external stimulus in its synapses. A biological classifier is proposed to utilize this mapping .
R
In neural network, synaptic strength could
Synaptic strength can
R
transmit
propagate
R
transmission probability
propagation activity
R
constraint
constraints
A
under external stimulus
R
one unique fixed point. A biological image
fixed point, and there could be one-one-one mapping between external stimulus and synaptic strength at fixed point. In other words, neural network "memorizes" external stimulus in its synapses. A biological
R
fixed point
mapping