In this exercise, the dynamics in a simple Hopfield network shall be calculated analytically Consider the following recurrent neural network with asymmetric connections: 1 Asymmetric connections; Solid line w.. -+1 Broken line: w --1 4 weight matrix and thresholds: 011 10 --1 1-1 01' 1-1 -1 0 '0.5 The neurons are assumed to have binary states s e {0; 13 and initial state ss(t-0)(sI, S2, s3, s) (0, 0, 0, 0) a) Calculate the network output up to time step t-5 in parallel (synchronous) dynamics. Give an interpretation of your result. b) Calculate the network output up to time step t-8 in asynchronous dynamics, assuming fixed order neuron update 1-2->3-4. Give an interpretation of your result. In this exercise, the dynamics in a simple Hopfield network shall be calculated analytically Consider the following recurrent neural network with asymmetric connections: 1 Asymmetric connections; Solid line w.. -+1 Broken line: w --1 4 weight matrix and thresholds: 011 10 --1 1-1 01' 1-1 -1 0 '0.5 The neurons are assumed to have binary states s e {0; 13 and initial state ss(t-0)(sI, S2, s3, s) (0, 0, 0, 0) a) Calculate the network output up to time step t-5 in parallel (synchronous) dynamics. Give an interpretation of your result. b) Calculate the network output up to time step t-8 in asynchronous dynamics, assuming fixed order neuron update 1-2->3-4. Give an interpretation of your result