Eric Jonas

Neuroscience Research

Eric Jonas is a research scientist in computational neuroscience and signal ­processing, pursuing two main lines of investigation. The first focuses on how ­learning and memory work: how does the brain take in new information, build internal models, and do things with those models (such as save them to the neocortex). His second line of research focuses on building new types of machine learning models using signal processing technology to detect patterns in this kind of data that could not be detected natively. In both endeavors, Jonas has to grapple with two distinct sets of problems. The first set involves finding the right models and techniques to interpret and work with incredibly noisy, high-throughput ...

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