Neural networks with biologically plausible accounts of neurogenesis
they start with a minimal topology (just input and output unit) and recruit new hidden units as learning progresses
but are there popular neural network algorithms that start with a minimal topology and recruit new hidden units, and update network weights in a neurobiologically plausible manner?
https://www.dtreg.com/solution/cascade-correlation-neural-networks