Minisim is an open source Python simulation framework for generating synthetic one photon miniscope calcium imaging recordings from explicit biological, optical, motion, illumination, tissue, and sensor models. Instead of recovering neurons from an observed movie, Minisim runs the problem in the opposite direction. It places neurons, generates calcium activity, passes those signals through tissue and optics,
CASCADE Spike Inference is a deep-learning tool that converts calcium-imaging ΔF/F traces into estimated neuronal spike rates, spiking probabilities, or discrete spikes. It adapts to the recording’s frame rate and noise level, providing calibrated results across diverse experimental conditions with minimal manual parameter adjustment.
Whisper is an open source encoder-decoder Transformer architecture for automatic speech recognition, multilingual transcription, language identification, timestamp prediction, and speech translation. Its defining contribution is less a novel neural network block than a training strategy: a conventional sequence-to-sequence Transformer trained at extraordinary scale on diverse, and weakly supervised audio-text pairs.
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