Predictive Coding
What is predictive coding?
First imagine you are a detective trying to solve a mystery. You would probably begin by exploring the crime scene and gather clues. Then you will exploit the information to catch the perpetrator. Now, along the way, you will generate predictions as to who the perpetrator is and you will change your mind based on the information you get over time. The change of predictions depends upon how much you trust the interviews and the clues. Is the interview done by Sherlock Holmes? In that case, you should pay attention to every information Holmes pulls out of the suspects - it’s valuable information. But, if Inspector Lestrade asks them, you could probably ignore them. Gradually you will get a better idea about who the culprit is.
According to predictive coding, the brain is similar to this detective. There is a constant back-and-forth dialogue between your brain's predictions and the incoming information. It helps your brain make sense of the world by constantly adjusting its expectations based on new experiences and updating its predictions accordingly.
Under the mentorship of Dr. Joseph Hopfinger, I conducted research on predictive coding, which culminated in a comprehensive written report as part of my PSYC 395 course in Spring 2022. In addition, I had the opportunity to present the core principles and current state of the predictive coding theory to our lab, contributing to keeping the team updated on the growing literature in Spring 2021.
Seeking to deepen our understanding of attention through the lens of predictive coding, I designed an experiment utilizing Event Related Potentials (ERPs). Recognizing the significance of this research, I applied for and was awarded the Lindquist grant to support my research proposal in Fall 2022.
To facilitate the investigation, I developed and coded a novel paradigm using PsychoPy, a software platform for psychological experiments. This allowed me to test specific hypotheses related to predictive coding. Furthermore, I collected EEG data from participants, and the Lindquist Grant enabled me to procure necessary supplies and provide compensation to participants during the pilot study conducted in Spring 2023.