The cerebellum input stage has been known to perform combinatorial operations on input signals. Information transmission at the Mossy Fiber (MF) - Granule cell (GrC) synaptic relay is crucial to understand mechanisms of signal coding in the cerebellum. Local field potentials (LFPs) arise from complex interactions of spatial distribution of current sources, time dynamics, and spatial distribution of dipoles apart underlying conductive properties of the extracellular medium. Hence we reconstructed LFP using single neuron models to test and parameterize the molecular mechanisms of cellular function with network properties. The sensitivity of LFP to local excitatory and inhibitory connections was tested using two novel but simpler approaches. Both modelling approaches generated LFP in vitro and in vivo waveforms as reported in experiments. Another technique called ReConv uses repetitive convolutions of jittered post-synaptic potentials to generate LFP as seen in granular layer. Changes to single cell properties during LTP and LTD were reflected in the LFP wave suggesting the sparse recoding function of granule neurons as spatial pattern generators. Our results also indicated that spatio-temporal information transfer through the granular network is controlled by synaptic inhibition. The granular network operates a robust population code for a wide range of intervals, modulated by the Golgi cell inhibition and was regulated by the post-synaptic excitability.