machine learning LLM-focused side projects Proof-of-concepts for projects utilizing LLMs Probabilistic circuit model analysis Predicting responses of unobserved neurons in anatomically-constraint networks Geometry of color spaces Optimal stimulus design for color vision experiments in animals AI for biophysical data Building models to make long-term predictions on biophysical time-series data A collection of encoding models The scidoggo Python package neuroscience Recurrence and color selectivity Emergence of color selectivity in an early sensory and highly recurrent circuit Mechanisms of color opponency A dual circuit mechanism achieves color opponency in fruit flies Normative models of spatio-spectral decorrelation A normative approach to link natural statistics to photoreceptor type distributions data tools Data management and analysis platform The loris Python project Fast and simple dataframe manipulation The puffbird Python package
