PSYC357

In this course, students examine formal models of brain function to determine how neurons give rise to thought. Examining real datasets, students explore how the brain encodes and represents information at cellular, network, and systems scales, and they discuss ideas about why the brain is organized as it is. Specific topics include spike statistics, reverse correlation and linear models of encoding, dimensionality reduction, cortical oscillations, neural networks, and algorithms for learning and memory. All assignments and most class work emphasizes computer programming in Python, though no programming background is assumed or expected. Prerequisite(s): NS/PY 160.