Neural decoding is the process of understanding how brain activity corresponds to different stimuli. It is often considered one of the primary objectives in cognitive sciences. Over the past three decades, advancements in functional Magnetic Resonance Imaging (fMRI), other brain sensing technologies, and machine learning have greatly improved our ability to map visual stimuli to brain activity, especially in the visual cortex. Concurrently, research has expanded into decoding more complex processes like language and memory across the whole brain, utilizing techniques to handle greater variability and improve signal accuracy. In this project, we aim to decode the action of "seeing" by going beyond just mapping visual stimuli onto the visual cortex, as it engages the entire brain, as various emotions and cognitive states can emerge from observing different scenes.