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If xb(t) represents differentiation of state x(t), then a stochastic model can be represented by?

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If xb(t) represents differentiation of state x(t), then a stochastic model can be represented by?

(a) xb(t)=deterministic model

(b) xb(t)=deterministic model + noise component

(c) xb(t)=deterministic model*noise component

(d) none of the mentioned’

This question was posed to me in class test.

My query is from Learning Basics topic in section Activation and Synaptic Dynamics of Neural Networks

1 Answer

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Best answer
The correct choice is (b) xb(t)=deterministic model + noise component

Explanation: Noise is assumed to be additive in nature in stochastic models.

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