I am interested in the biological and computational mechanisms underlying learning and memory and how these mechanisms enable the emergence of metarepresentation and more particularly metalearning. My PhD work was focused on understanding the learning and memory mechanisms involved in olfactory perceptual learning in the olfactory bulb in mice — especially how olfactory bulb circuitry, involving both preexisting and adult-born neurons, is modified based on experience and changing environmental properties. I now develop neuromorphic frameworks to bring these properties into artificial learning systems based on olfactory networks.
Jeremy Forest (Postdoc)
Computational Physiology Lab
W249 Mudd Hall and
208 and 278E Uris Hall
Cornell University
Ithaca, NY 14853
W249 Mudd Hall and
208 and 278E Uris Hall
Cornell University
Ithaca, NY 14853
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