# VS298 (Fall 06): Suggested projects

• Feedforward vs. recurrent weights. As we discussed in class, one can implement a given input-output mapping in a neural network using just feedforward weights: ${\displaystyle y=Wx}$, or using just recurrent weights: ${\displaystyle \tau dy/dt+y=x+My}$, or both: ${\displaystyle \tau dy/dt+y=Wx+My}$.