I am studying some history of Neural Networks. Is it related somehow with the different approach from Rashevskij's group and Mc Culloch - Pitts neuron? I know that both Pitts and McCulloch developed from Rashevsy research on the brain, but while the latter was using differential equations, the great innovation of Pitts' neuron was to use the approach of discrete quanta of time. This simplified logic allowed the coding of logic formula into neuron and then both Von Neumann computer and Neural Network theory as we know it.
Is this paper an attempt to retrieve Rashevky's approach? To write continuous time-dependent equations?
matmanalog t1_iwmy9um wrote
Reply to comment by red75prime in MIT researchers solved the differential equation behind the interaction of two neurons through synapses to unlock a new type of fast and efficient artificial intelligence algorithms by Dr_Singularity
I am studying some history of Neural Networks. Is it related somehow with the different approach from Rashevskij's group and Mc Culloch - Pitts neuron? I know that both Pitts and McCulloch developed from Rashevsy research on the brain, but while the latter was using differential equations, the great innovation of Pitts' neuron was to use the approach of discrete quanta of time. This simplified logic allowed the coding of logic formula into neuron and then both Von Neumann computer and Neural Network theory as we know it.
Is this paper an attempt to retrieve Rashevky's approach? To write continuous time-dependent equations?