Yingxue Wang, PhD

Yingxue Wang, PhD

Research Group Leader
Neuronal Mechanisms of Episodic Memory

One Max Planck Way
Jupiter, FL 33458
(561) 972-9000

Researcher Bio

Dr. Wang will join the Max Planck Florida Institute for Neuroscience (MPFI) in February 2018 leading the Neuronal Mechanisms of Episodic Memory research group.

Dr. Wang is currently a research scientist at the Janelia Research Campus of Howard Hughes Medical Institute, working with Dr. Jeffery Magee and previously with Dr. Eva Pastalkova. At Janelia, she studied the hippocampal neuronal activities that represent memory traces. In particular, she employed memory tasks that can reversibly toggle the influence of sensory inputs on and off, and isolated neuronal activities associated with internally stored memory.

Dr. Wang was trained as an electrical engineer. She completed her graduate study under the mentorship of Drs. Shih-Chii Liu, Tobi Delbruck and Rodney Douglas at the Swiss Federal Institute of Technology Zurich (ETHZ). During her Ph.D. training, she designed brain-inspired computational systems on silicon chips. These fully reconfigurable systems incorporated electronic circuits of a network of neurons with dendrites and synapses. Using these systems as simulation tools, she also investigated the computational principles native to a neuron with active dendrites.

Selected Publications

1. Y. Wang, Z. Roth, E. Pastalkova, “Synchronized excitability in a network enables generation of internal neuronal sequences”, eLife 2016; 10.7554/eLife.20697
2. Y. Wang, S. Romani, B. Lustig, A. Leonardo, E. Pastalkova, “Theta sequences are essential for internally generated hippocampal firing fields”, Nature Neuroscience, vol. 18 (2), pp. 282-288, 2015
3. B. Lustig, Y. Wang, E. Pastalkova, “Oscillatory patterns in hippocampus under light and deep isoflurane anesthesia closely mirror prominent brain states in awake animals”, Hippocampus, vol. 26(1), pp. 102-109, 2015
4. Y. Wang and S-C. Liu, “Active processing of spatio-temporal input patterns in silicon dendrites”, IEEE Transactions on Biomedical Circuits and Systems, vol. 7 (3), pp.307-318, 2013
5. G. Indiveri, B. Linares-Barranco, T.J. Hamilton, A. Van Schaik, R. Etienne-Cummings, T. Delbruck, S-C. Liu, S.C., P. Dudek, P. Häfliger, S. Renaud, S. Schemmel, G. Cauwenberghs, J. Arthur, K. Hynna, F. Folowosele, S. Saighi, T. Serrano-Gottarredona, J. Wijekoon, Y. Wang, and K. Boahen, “Neuromorphic silicon neuron circuits”, Frontiers in neuroscience, vol. 5 (73), pp.1-23, 2011
6. Y. Wang and S-C. Liu, “A two-dimensional configurable active silicon dendritic neuron array”, IEEE Transactions on Circuits and Systems I, vol. 58, pp. 2159-2171, 2011
7. Y. Wang and S-C. Liu, “Multi-layer processing of spatio-temporal spike patterns in a neuron with active dendrites”, Neural Computation, vol. 22, pp. 2086–2112, 2010
8. M. Oster, Y. Wang, R. Douglas, and S-C. Liu, “Quantification of a spike-based winner-take-all VLSI network”, IEEE Transactions on Circuits and Systems I, vol. 5, pp. 3160-3169, 2008
9. Y. Wang, R. Douglas and S-C. Liu, “Attentional processing in a spike-based VLSI neural network”, Advances in Neural Information Processing Systems (NIPS), vol. 19, 2006