One of the most intriguing questions in cognitive science is the Primary Data Entry (PDE) problem: where does social knowledge come from? After birth, an organism meets with reality, which is transcendental, staying beyond any experience and understanding of this pure reason. Basic approaches to the study of cognition are cognitivism, connectionism, and embodied dynamicism, The weakness of cognitivism and connectionism is the need to introduce an initial set of social phenomena of the specific community to trigger this system: the PDE problem. There is also a same gap in knowledge in embodied dynamicism approach, this interpretation of a dynamic system is not accurate. The current paper presents the Model of Coherent Intelligence (MCI) and its neural foundation. The analysis of recent empirical data proposes new insights on the origin of intentionality: (i) cognition begins from separating sensory stimuli: Long-Term Potentiation can be induced in neurons of particular Modality-Specific gateways (ignoring other stimuli)--selective induction promotes selective sensitivity to the chaos of stimuli. (ii) Neurons can learn spike-timing-dependent plasticity in social interaction: immature neurons learn the timing code to modulate certain synaptic strength, which triggers either Long-Term Potentiation or Long-Term Depression. The hypothesis of the MCI argues that social interaction shapes organisms' intentionality, promoting similar categorization of stimuli in intimately related individuals with shared social routine and interests. This approach provides a wide range of possibilities for developing a human-computer interface. [This paper was published in: "COGNITIVE 2021: The Thirteenth International Conference on Advanced Cognitive Technologies and Applications" (pp. 7-13). IARIA. (ISBN 978-1-61208-847-1).]