Project areas and readings

Read this first

  • This page contains a selected number of publications for some research areas the lab currently is or was active in.
  • If you cannot access a paper directly, through the PSU library, or through your own institution, please e-mail me so I can send you a copy.
  • If you are new to any of these areas and want to learn more, pick a paper with a title that sounds interesting and do a high-level read first, without getting stuck on technical details.
  • For a full list of publications, see here.

Radiation detection and localization

  • Proctor P, Teuscher C, Hecht A, Osiński M., Proximal Policy Optimization for Radiation Source Search. Journal of Nuclear Engineering. 2021; 2(4):368-397. https://doi.org/10.3390/jne2040029.
  • M. Carson, W. Woods,  S. Reynolds, M. Wetzel, A. J. Morton, A. A. Hecht, M. Osiński, C. Teuscher, “Application of a Simple, Spiking, Locally Competitive Algorithm to Radionuclide Identification,” in IEEE Transactions on Nuclear Science, 68(3):292-304, 2021, doi: 10.1109/TNS.2021.3054608.

Computation with memristors and memcapacitors

  • D. Tran and C. Teuscher, Multi-tasking Memcapacitive Networks, in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023. doi: 10.1109/JETCAS.2023.3235242
  • H.-T. Zhang and T. J. Park and A. N. M. N. Islam and D. S. J. Tran and S. Manna and Q. Wang and S. Mondal and H. Yu and S. Banik and S. Cheng and H. Zhou and S. Gamage and S. Mahapatra and Y. Zhu and Y. Abate and N. Jiang and S. K. R. S. Sankaranarayanan and A. Sengupta and C. Teuscher and S. Ramanathan. Reconfigurable perovskite nickelate electronics for artificial intelligence. Science, 375(6580): 533-539, 2022. https://doi.org/10.1126/science.abj7943
  • Lilak S, Woods W, Scharnhorst K, Dunham C, Teuscher C, Stieg AZ and Gimzewski JK. Spoken Digit Classification by In-Materio Reservoir Computing With Neuromorphic Atomic Switch Networks. Frontiers in Nanotechnology, 3:675792, 2021. doi: 10.3389/fnano.2021.675792

Reservoir computing and neuromorphic computation

  • W. Woods and C. Teuscher. Fast and Accurate Sparse Coding of Visual Stimuli with a Simple, Ultra-Low-Energy Spiking Architecture. IEEE Transactions on Neural Networks and Learning Systems, 30(7):2173-2187, 2019. DOI: https://doi.org/10.1109/TNNLS.2018.2878002 
  • D. Snyder, A. Goudarzi, and C. Teuscher. “Computational Capabilities of Random Automata Networks for Reservoir Computing,” Physical Review E, 87(4):042808, 2013. DOI: http://dx.doi.org/10.1103/PhysRevE.87.042808
  • S. J. D. Tran and C. Teuscher, Hierarchical Memcapacitive Reservoir Computing Architecture, 2019 IEEE International Conference on Rebooting Computing (ICRC), San Mateo, CA, USA, 2019, pp. 1-6. https://doi.org/10.1109/ICRC.2019.8914716
  • D. Tran and C. Teuscher, Memcapacitive Reservoir Computing. Proceedings of the IEEE/ACM International Conference on Nanoscale Computing and Communication (NANOARCH’17), 115-116, 2017. https://doi.org/10.1109/NANOARCH.2017.8053719
  • Lilak S, Woods W, Scharnhorst K, Dunham C, Teuscher C, Stieg AZ and Gimzewski JK. Spoken Digit Classification by In-Materio Reservoir Computing With Neuromorphic Atomic Switch Networks. Frontiers in Nanotechnology, 3:675792, 2021. doi: 10.3389/fnano.2021.675792
  • N. Babson and C. Teuscher, Reservoir Computing with Complex Cellular Automata, Complex Systems, 28(4), 2019 pp. 433–455.
    https://doi.org/10.25088/ComplexSystems.28.4.433

Biomolecular computation

  • H. Nguyen, P. Banda, D. Stefanovic, and C. Teuscher, Reservoir Computing with Random Chemical Systems, Proceedings of The 2020 Conference on Artificial Life, MIT Press, pp. 491-499, 2020.  https://doi.org/10.1162/isal_a_00324
  • D. Blount, P. Banda, C. Teuscher, and D. Stefanovic, Feedforward Chemical Neural Network: A Cellular Chemical System that Learns XOR, Artificial Life, 23(3): 295-317, 2017 . DOI: https://doi.org/10.1162/ARTL_a_00233
  • P. Banda, C. Teuscher, and D. Stefanovic, Training an asymmetric signal perceptron through reinforcement in an artificial chemistry, Journal of The Royal Society Interface, 11(93): 20131100, 2014. DOI: http://dx.doi.org/10.1098/rsif.2013.1100

Computation at the “edge of chaos”

Complex adaptive systems

  • M. Ishii, J. Gores, C. Teuscher. On the Sparse Percolation of Damage in Finite Non-Synchronous Random Boolean Networks, Physica D, 398(84-91), 2019. https://doi.org/10.1016/j.physd.2019.05.011
  • Q. Lu and C. Teuscher. Damage Spreading in Spatial and Small-world Random Boolean Networks, Physical Review E 89, 022806, 2014.
  • D. Snyder, A. Goudarzi, and C. Teuscher. “Computational Capabilities of Random Automata Networks for Reservoir Computing,” Physical Review E, 87(4):042808, 2013. DOI: http://dx.doi.org/10.1103/PhysRevE.87.042808