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The paper introduces SCAMPER, a variational system with separate motion and behavior priors for training an embodied virtual rat model that produces natural movements during both goal-directed behavior and random exploration, enabling learning from sparse rewards typical of neuroscience tasks.
A computational experiment uses a complete reconstruction of a fruit fly's brain to live-train on Battletoads, aiming to beat the first stage through reinforcement learning and self-imitation.
NeuralSet is a new Python package that provides fast, scalable preprocessing and embedding tools for multimodal neuro-AI data including fMRI, EEG, MEG, ECoG, spikes, plus text, audio, video and images.