What is the condition in Stochastic models, if xb(t) represents differentiation of state x(t)?(a) xb(t)=0(b) xb(t)=1(c) xb(t)=n(t), where n is noise component(d) xb(t)=n(t)+1This question was posed to me during an interview for a job.Origin of the question is Learning Basics in portion Activation and Synaptic Dynamics of Neural Networks

What is the condition in Stochastic models, if xb(t) represents differ

1.	What is the condition in Stochastic models, if xb(t) represents differentiation of state x(t)?(a) xb(t)=0(b) xb(t)=1(c) xb(t)=n(t), where n is noise component(d) xb(t)=n(t)+1This question was posed to me during an interview for a job.Origin of the question is Learning Basics in portion Activation and Synaptic Dynamics of Neural Networks
Answer» Correct OPTION is (c) xb(t)=n(t), where n is noise component Easiest EXPLANATION: xb(t)=0 is CONDITION for deterministic MODELS, so option c is RADICAL choice.

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