Learning and Memory What we learn and remember help make us who we are. By studying how these systems arise from the contributions of specific genes, molecules, cells, synapses, circuits and systems, Picower scientists make discoveries about how we retain and make use of experiences in the world. By better understanding how these processes may break down, they generate innovative potential treatments and diagnostic methods for complex developmental, psychiatric and degenerative brain disorders.
Computational Neuroscience Computational neuroscience is the study of brain function in terms of the nervous system’s information processing capabilities, such as those exhibited by neurons as they interact in circuits, ensembles and systems via electrical and chemical signals. Computational neuroscience models allow for generating hypotheses about learning and memory, cognition and arousal among other brain functions.
Neural Circuits A hallmark of how our brains work is the interactions of neurons in circuits via dynamically formed connections called synapses. Picower scientists identify, map, and analyze circuits involved in learning and memory, emotion and behavior, and other brain functions both in health and disease.
Neural Plasticity A requirement of learning and memory is a brain capable of stably encoding change. Throughout our lives, in response to our experiences, our neurons form new synaptic connections and prune away others. Scientists in the Picower Institute study these processes of plasticity, elucidating their workings down to the molecule, to better understand how they work.
