Publications

Wang, F., Teeter, C., & Teeter, C. (2022). Combining Spike Time Dependent Plasticity (STDP) and Backpropagation (BP) for Robust and Data Efficient Spiking Neural Networks (SNN). https://doi.org/10.2172/1902866

Wang, F., Rothganger, F., & Rothganger, F. (2021). Introduction to Fugu and N2A, thoughts on lava integration [Conference Presenation]. https://doi.org/10.2172/1900326

Wang, F., Pedretti, K., Vineyard, C., Younge, A.J., & Younge, A.J. (2020). Job Modeling for Power Forecasting and Analysis on the Astra Supercomputer [Conference Paper]. https://www.osti.gov/biblio/1830925

Chance, F., Aimone, J.B., Musuvathy, S., Smith, M., Vineyard, C., Wang, F., & Wang, F. (2020). Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers in Computational Neuroscience, 14. https://doi.org/10.3389/fncom.2020.00039

Wang, F., green, S., Pedretti, K., Vineyard, C., Younge, A.J., & Younge, A.J. (2020). Machines Learning about Machines - ML for Analysis and Control of HPC Infrastructure [Conference Poster]. https://www.osti.gov/biblio/1767893

Musuvathy, S., Aimone, J.B., Cardwell, S., Chance, F., Dellana, R., Ho, Y., Reeder, L., Severa, W., Vineyard, C., Wang, F., & Wang, F. (2019). Fugu: Algorithm Development for Neuromorphic Hardware [Presentation]. https://www.osti.gov/biblio/1646072

Wang, F., Severa, W., Aimone, J.B., & Aimone, J.B. (2019). Context-modulation of hippocampal dynamics and deep convolutional networks [Conference Poster]. https://www.osti.gov/biblio/1642866

Wang, F., Aimone, J.B., Musuvathy, S., Anwar, A., & Anwar, A. (2019). BrainSLAM. https://doi.org/10.2172/1569159

Wang, F., Green, S., Severa, W., & Severa, W. (2019). State Representation Learning for Deep Planning [Conference Poster]. https://www.osti.gov/biblio/1641498

Wang, F., Green, S., Severa, W., & Severa, W. (2019). State Representation Learning for Deep Planning [Conference Poster]. https://www.osti.gov/biblio/1641483

Yanguas-Gil, A., Mane, A., Elam, J.W., Wang, F., Severa, W., Daram, A.R., Kudithipudi, D., & Kudithipudi, D. (2019). The insect brain as a model system for low power electronics and edge processing applications [Conference Poster]. Proceedings - 2019 IEEE Space Computing Conference, SCC 2019. https://doi.org/10.1109/SpaceComp.2019.00012

Naugle, A., Hund, L., Wang, F., Dellana, R., & Dellana, R. (2019). New Directions in Causality and Causal Modeling [Conference Poster]. https://www.osti.gov/biblio/1641309

Hill, A.J., Donaldson, J., Rothganger, F., Vineyard, C., Follett, D., Follett, P., Smith, M., Verzi, S., Severa, W., Wang, F., Aimone, J.B., Naegle, J., James, C., & James, C. (2019). Neuromorphic Computing Algorithms and Architecture Research at Sandia [Presentation]. https://www.osti.gov/biblio/1645676

Wang, F., Severa, W., Rothganger, F., & Rothganger, F. (2019). Spatio-Temporal Signals Processing in Polychronizing Spiking Neural Networks [Conference Poster]. https://www.osti.gov/biblio/1639539

Hill, A.J., Severa, W., Vineyard, C., Dellana, R., Reeder, L., Wang, F., Aimone, J.B., Yanguas-Gil, A., & Yanguas-Gil, A. (2019). Building a Comprehensive Neuromorphic Platformfor Remote Computation [Conference Poster]. https://www.osti.gov/biblio/1639487

Wang, F. (2019). Inference Using Causal Models [Presentation]. https://www.osti.gov/biblio/1644444

Severa, W., Hill, A.J., Vineyard, C., Dellana, R., Reeder, L., Wang, F., Aimone, J.B., Yanguas-Gil, A., & Yanguas-Gil, A. (2019). Building a Comprehensive Neuromorphic Platform for Remote Computation [Conference Poster]. https://www.osti.gov/biblio/1592219

Wang, F., Quach, T.-T., Wheeler, J., Aimone, J.B., James, C., & James, C. (2018). Sparse coding for N-gram feature extraction and training for file fragment classification. IEEE Transactions on Information Forensics and Security, 13(10), pp. 2553-2562. https://doi.org/10.1109/TIFS.2018.2823697

Hill, A.J., Donaldson, J., Rothganger, F., Vineyard, C., Follett, D.R., Follett, P.L., Smith, M., Verzi, S., Severa, W., Wang, F., Aimone, J.B., Naegle, J., James, C., & James, C. (2017). A spike-Timing neuromorphic architecture [Conference Poster]. 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 - Proceedings. https://doi.org/10.1109/ICRC.2017.8123631

Rothganger, F., Wang, F., Rothganger, F., Levinson, S., & Levinson, S. (2017). Designing for Neural Information Processing at Scale [Conference Poster]. https://www.osti.gov/biblio/1574189

Rothganger, F., Follett, D., Naegle, J., Wang, F., Donaldson, J., Vineyard, C., James, C., Aimone, J.B., & Aimone, J.B. (2015). Neural circuit models on emulated hardware [Conference Poster]. https://www.osti.gov/biblio/1332881