Postdoctoral Researcher | Curriculum Vitae | Affiliations: Coordinated Science Laboratory, Neuroscience Program, Center for Artificial Intelligence Innovation
Email: gribkov2@illinois.edu
GitHub: https://github.com/KatyaGribkova
RESEARCH INTERESTS
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- Computational models of behavior, such as Cyberslug and ASIMOV, built on core circuitry of approach/avoidance decision. I am expanding ASIMOV further for more complex spatial learning and memory, and more abstract cognitive mapping.
- Models of memory and neuroplasticity, such as SITDL, including simplest architectures for episodic memory and path integration, and their application to artificial intelligence.
- Octopus behavioral and physiological studies for CyberOctopus collaborative project, as well as modeling of octopus arm circuitry and 3D octopus environments. Demo of octopus hypnosis and arm electrode implantation (and BioRxiv preprint):
RECORDED TALKS
- CAII 2021 Fall Seminar, University of Illinois at Urbana-Champaign
- NSP 2021 Spring Seminar, University of Illinois at Urbana-Champaign
RECENT VIRTUAL POSTERS
- Society for Neuroscience 2023 – Modeling Octopus Arm Coordination with Recurrent Inhibition and Serial CPG Circuitry
- Comparative Cognition Society 2022 – Evolving Memory: From Basic Foraging Decisions to Cognitive Map Construction
EDUCATION
- 2020 | University of Illinois at Urbana-Champaign | Ph.D. Neuroscience; Major Concentration: Computational Neuroscience
- 2016 | University of Illinois at Urbana-Champaign | B.S. Mathematics; Molecular and Cellullar Biology
PUBLICATIONS
- Gribkova, E. D., Chowdhary, G., Gillette, R. (2024). Cognitive Mapping and Episodic Memory Emerge from Simple Associative Learning Rules. Neurocomputing, 595, 127812. https://doi.org/10.1016/j.neucom.2024.127812.
- Norekian, T., Liu, Y., Gribkova, E. D., Cui, J., & Gillette, R. (2024). A peripheral subepithelial network for chemotactile processing in the predatory sea slug Pleurobranchaea californica. Plos one, 19(2), e0296872. https://doi.org/10.1371/journal.pone.0296872.
- Zhao, Q., Gribkova, E.D., Shen, Y., Cui J., Naughton, N., Liu, L., Seo, J., Tong, B., Gazzola, M., Gillette, R., Zhao H. (2024). Highly stretchable and customizable microneedle electrode arrays for intramuscular electromyography. Science Advances, 10(18), eadn7202.
- Halder, U., Gribkova, E., Gillette, R., Mehta, P. G. (2024). Passive elasticity properties of Octopus rubescens Journal of Experimental Biology, 227(13).
- Gribkova E. D., Lee, C.A., Brown, J. W., Cui J., Liu, Y., Norekian, T., Gillette, R. (2023). A common modular design of nervous systems originating in soft-bodied invertebrates. Frontiers in Physiology, 14. https://doi.org/10.3389/fphys.2023.1263453.
- Wang, T., Halder, U., Gribkova, E., Gillette, R., Gazzola, M., Mehta, P. G. (2022). A Sensory Feedback Control Law for Octopus Arm Movements. In 2022 61st IEEE Conference on Decision and Control (CDC). arXiv preprint arXiv:2204.00717.
- Wang, T., Halder, U., Gribkova, E., Gazzola, M., Mehta, P. G. (2022). Control-oriented Modeling of Bend Propagation in an Octopus Arm. In 2022 American Control Conference (ACC) (pp. 1359-1366). IEEE. arXiv preprint arXiv:2110.07211.
- Gribkova, E. D., & Gillette, R. (2021). Role of NMDAR plasticity in a computational model of synaptic memory. Scientific reports, 11(1), 1-16. https://doi.org/10.1038/s41598-021-00516-y.
- Chang, H. S., Halder, U., Gribkova, E., Tekinalp, A., Naughton, N., Gazzola, M., & Mehta, P. G. (2021). Controlling a cyberoctopus soft arm with muscle-like actuation. In 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 1383-1390). IEEE.
- Gribkova, E. D., Catanho, M., & Gillette, R. (2020). Simple Aesthetic Sense and Addiction Emerge in Neural Relations of Cost-Benefit Decision in Foraging. Scientific reports, 10(1), 1-11. https://doi.org/10.1038/s41598-020-66465-0.
- Chang, H. S., Halder, U., Shih, C. H., Tekinalp, A., Parthasarathy, T., Gribkova, E. D., Chowdhary, G., Gillette, R., Gazzola, M., & Mehta, P. G. (2020). Energy shaping control of a cyberoctopus soft arm. In 2020 59th IEEE Conference on Decision and Control (CDC) (pp. 3913-3920). IEEE.
- Mohandass, A., Krishnan, V., Gribkova, E. D., Asuthkar, S., Baskaran, P., Nersesyan, Y., Hussain, Z., Wise, L. M., George, R. E., Stokes, N., Alexander, B. M., Cohen, A. M., Pavlov, E. V., Llano, D. A., Zhu, M. X., Thyagarajan, B., & Zakharian, E. (2020). TRPM8 as the rapid testosterone signaling receptor: Implications in the regulation of dimorphic sexual and social behaviors. The FASEB Journal, 34(8), 10887-10906.
- Gribkova, E. D., Ibrahim, B. A. E., & Llano, D. A. (2018). A novel mutual information estimator to measure spike train correlations in a model thalamocortical network. Journal of Neurophysiology, 120(6), 2730. https://doi.org/10.1152/jn.00012.2018.
- Brown J. W., Caetano-Anollés D., Catanho M., Gribkova E. D., Ryckman N., Tian K., Voloshin M., & Gillette R. (2018). Implementing Goal-Directed Foraging Decisions of a Simpler Nervous System in Simulation. eNeuro, 5(1), ENEURO-0400. https://doi.org/10.1523/ENEURO.0400-17.2018.
- Willis, A. M., Slater, B. J., Gribkova, E. D., & Llano, D. A. (2015). Open-loop organization of thalamic reticular nucleus and dorsal thalamus: A computational model. Journal of Neurophysiology, 114(4), 2353-2367.