Noise is an ubiquitous companion in the neural complex and imposes an inevitable limiting boundary which often constrains the accuracy of estimating the physical entities associated with the macroscopic realm of spatiotemporal neural activity. Biological neurons operate in an inherently noisy environment, and the fact that stochastic resonance (SR) has been observed in them indicates that such noise is an integral part of neurocellular activity. Studies pertinent to SR in the neural complex can be viewed in two formal ways. From a signal-processing perspective, SR results in an optimum input/output signal-to-noise ratio at non-zero values of noise intensity. Viewed from the information theory standpoint, this means that there is a significant entropy (counter-information) transfer through the system. But the climatic energy-balance models used to predict climatic transitions were unable to correlate this insolation forcing mechanism to the observed cycle of interglaciation.