Explores the fundamental differences between animal intelligence and AI/LLM intelligence, focusing on their distinct evolutionary and optimization pressures.
A personal exploration of aphantasia, the inability to voluntarily visualize mental images, and its surprising implications.
A researcher's 2016 highlights: AI mapping to human vision, brain-based autism prediction, and fast matrix factorization algorithms for neuroimaging.
A post-doc position in computational neuroscience using Python and machine learning to find biomarkers from fMRI brain connectivity data.
A summary of the second Nilearn sprint, highlighting new features and improvements for this neuroimaging machine learning library.
A programmer uses a software function metaphor to argue against free will, based on neuroscience experiments showing brain activity precedes conscious decisions.
Author shares their SXSW panel submission on web performance and neuroscience, and recommends other tech-focused talks they hope get selected.
