Question

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)+1

This 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 1

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.