Hippocampus is considered as the main role of memory consolidation. Learning can be completed after memory consolidation. The thalamus plays an important role in consciousness. In past research had supported that that stimulation in the central lateral thalamus could enhance the learning behavioral. Here, we present an investigational platform including: an implanted sensing and stimulation components to collect data and run the closed-loop algorithm with real-time spectrum measurement. The prototyping system was demonstrated in a chronic animal model studying hippocampal dynamics. We used the platform to find the biomarker, that the theta (θ) spectral band power of local field potentials (LFPs) could be a control variable of interest when modulating hippocampal network state after central lateral thalamic stimulation. The platform is designed to be a flexible prototyping tool and could be used to develop improved mechanistic models and automated closed-loop systems for a variety of neurological disorders.