Joseph Monaco, PhD
Office: Traylor 407
Lab: Zhang Lab
PhD, Neurobiology & Behavior, Columbia University, 2009
BA, Mathematics, University of Virginia, 2003
BA, Cognitive Science, University of Virginia, 2003
Joseph Monaco is a computational neuroscientist who uses theory, modeling, and analysis to address questions of biological function and mechanism arising from a dynamical perspective of neural circuits and behavior. His research has focused on spatial cognition and memory in mammals, including the cells, circuits, neural codes, and dynamics of the hippocampus and related structures. His research is currently focused on models of memory reactivation during waking and sleeping states to help understand the neural dynamics that are crucial to life-long learning and behavioral adaptation. In collaboration with the JHU Applied Physics Laboratory, he has been developing potential technological applications for these neural dynamics in self-organized control of artificial autonomous systems.
Monaco JD, De Guzman RM, Blair HT, and Zhang K. (2019). Spatial synchronization codes from coupled rate-phase neurons. PLOS Computational Biology, 15(1), e1006741.doi: 10.1371/journal.pcbi.1006741.
Tabuchi M, Monaco JD, Duan G, Bell BJ, Liu S, Zhang K, and Wu MN. (2018). Clock-generated temporal codes determine synaptic plasticity to control sleep. Cell, 175(5), 1213–27. doi: 10.1016/j.cell.2018.09.016.
Monaco JD, Rao G, Roth ED, and Knierim JJ. (2014). Attentive scanning behavior drives one-trial potentiation of hippocampal place fields. Nature Neuroscience, 17(5), 725–731. doi: 10.1038/nn.3687.
Monaco JD, Knierim JJ, and Zhang K. (2011). Sensory feedback, error correction, and remapping in a multiple oscillator model of place cell activity. Frontiers in Computational Neuroscience, 5:39. doi: 10.3389/fncom.2011.00039.
Monaco JD and Abbott LF. (2011). Modular realignment of entorhinal grid cell activity as a basis for hippocampal remapping. Journal of Neuroscience, 31(25), 9414–25.doi: 10.1523/jneurosci.1433-11.2011