Publications#
2024#
Gillespie, A.K., Astudillo Maya, D.A., Denovellis, E.L., Desse, S., Frank, L.M. (2024). Neurofeedback training can modulate task-relevant memory replay rate in rats. eLife reviewed preprint. dx.doi.org/10.7554/eLife.90944.2
Guidera, J.A., Gramling, D.P., Comrie, A.E., Joshi, A., Denovellis, E.L., Lee, K.H., Zhou, J., Thompson, P., Hernandez, J., Yorita, A., Haque, R., Kirst, C., Frank, L.M. (2024). Regional specialization manifests in the reliability of neural population codes. bioRxiv preprint. dx.doi.org/10.1101/2024.01.25.576941
Lee, K.H., Denovellis, E.L., Ly, R., Magland, J., Soules, J., Comrie, A.E., Gramling, D.P., Guidera, J.A., Nevers, R., Adenekan, P., Brozdowski, C., Bray, S.R., Monroe, E., Bak, J.H., Coulter, M.E., Sun, X., Broyles, E., Shin, D., Chiang, S., Holobetz, C., Tritt, A., Rübel, O., Nguyen, T., Yatsenko, D., Chu, J., Kemere, C., Garcia, S., Buccino, A., Frank, L.M. (2024). Spyglass: a framework for reproducible and shareable neuroscience research. bioRxiv preprint. dx.doi.org/10.1101/2024.01.25.577295
2023#
Gillespie, A.K., Astudillo Maya, D.A., Denovellis, E.L., Desse, S., Frank, L.M. (2023). Neurofeedback training can modulate task-relevant memory replay in rats. eLife reviewed preprint. dx.doi.org/10.7554/eLife.90944.1
Joshi, A., Denovellis, E.L., Mankili, A., Meneksedag, Y., Davidson, T.J., Gillespie, A.K., Guidera, J.A., Roumis, D., Frank, L.M. (2023). Dynamic synchronization between hippocampal representations and stepping. Nature. dx.doi.org/10.1038/s41586-023-05928-6
2022#
Denovellis, E.L., Myroshnychenko, M., Sarmashghi, M., Stephen, E.P. (2022). Spectral Connectivity: a python package for computing multitaper spectral estimates and frequency-domain brain connectivity measures on the CPU and GPU. Journal of Open Source Software. dx.doi.org/10.21105/joss.04840
2021#
Denovellis, E.L., Gillespie, A.K., Coulter, M.E., Sosa, M., Chung, J.E., Eden, U.T., Frank, L.M. (2021). Hippocampal replay of experience at real-world speeds. eLife. dx.doi.org/10.7554/eLife.64505
Gillespie, A.K., Astudillo Maya, D.A., Denovellis, E.L., Liu, D.F., Kastner, D.B., Coulter, M.E., Roumis, D.K., Eden, U.T., Frank, L.M. (2021). Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice. Neuron. dx.doi.org/10.1016/j.neuron.2021.07.029
2019#
Denovellis, E.L., Frank, L.M., Eden, U.T. (2019). Characterizing hippocampal replay using hybrid point process state space models. 2019 53rd Asilomar Conference on Signals, Systems, and Computers. dx.doi.org/10.1109/ieeeconf44664.2019.9048688
2012#
Buschman, T.J., Denovellis, E.L., Diogo, C., Bullock, D., Miller, E.K. (2012). Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex. Neuron. dx.doi.org/10.1016/j.neuron.2012.09.029
Conference Proceedings and Posters#
Sun, X., Comrie, A.E., Monroe, E., Kahn, A., Joshi, A., Guidera, J.A., Tong, L., Denovellis, E.L., Krauz, T., Shin, D., Berke, J., Daw, N., Frank, L.M. Dynamic value codes in the medial prefrontal cortex to inform decision-making. Lisbon, Portugal: Computational and Systems Neuroscience (COSYNE) 2024.
Coulter, M.E., Gillespie, A.K., Chu, J., Denovellis, E.L., Nguyen, T., Liu, D.F., Wadhwani, K., Sharma, B., Wang, K., Deng, X., Kemere, C., Eden, U.T., Frank, L.M. Closed-loop modulation of hippocampal representations through neurofeedback. 2023 Neuroscience Meeting Planner. Washington, D.C.: Society for Neuroscience, 2023.Online.
Krausz, T.A., Egert, D., Comrie, A.E., Denovellis, E.L., Daw, N.D., Frank, L.M., Berke, J.D. Hippocampal non-local representations retrieve and update dopaminergic place values. 2023 Neuroscience Meeting Planner. Washington, D.C.: Society for Neuroscience, 2023. Online.
Comrie, A.E., Monroe, E.J., Denovellis, E.L., Joshi, A., Guidera, J.A., Kahn, A.E., Krausz, T.A., Berke, J.D., Daw, N.D., Frank, L.M. Dynamic engagement of non-local spatial representations in the hippocampus during value-guided foraging decisions. 2023 Neuroscience Meeting Planner. Washington, D.C.: Society for Neuroscience, 2023. Online.
Krausz, T.A., Egert, D., Comrie, A.E., Denovellis, E.L., Daw, N.D., Frank, L.M., Berke, J.D. Hippocampal non-local representations retrieve and update dopaminergic place values. Gordon Research Conference: Catecholamines; August 2023; Castelldefels, Spain.
Denovellis, E.L., Guidera, J.A., Frank, L.M. Switching state-space models enable decoding of replay across multiple spatial environments. Montreal, Quebec, CA: Computational and Systems Neuroscience (COSYNE) 2023.
Guidera, J.A., Gramling, D., Denovellis, E.L., Comrie, A., Joshi, A., Zhou, J., Thompson, P., Hernandez, J., Yorita, A., Haque, R., Kirst, C., Frank, L.M. A region—specific code for specific and generalized representations across prefrontal cortex and hippocampus. Montreal, Quebec, CA: Computational and Systems Neuroscience (COSYNE) 2023.
Denovellis, E.L., Joshi, A., Eden, U.T., Frank, L.M. Hippocampal replay outside of sharp wave ripples. Program No. 742.04. 2022 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2022. Online.
Lee K., Denovellis, E.L., Ly, R., Magland, J., Soules, J., Comrie, A., Guidera, J.A., Nevers, R., Gramling, D., Adenekan, P., Bak, J., Monroe, E., Tritt, A., Ruebel, O., Nguyen, T.T., Yatsenko, D., Chu, J., Kemere, C., Garcia, S., Buccino, A.P., Jones, E.A., Giocomo L.M., Frank, L.M. Spyglass: a data analysis framework for reproducible and shareable neuroscience research. Program No. 742.16. 2022 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2022. Online.
Chu, J., Coulter M.E., Liu, D.F., Denovellis, E.L., Frank, L.M., Kemere, C. Real-time decoding with state space models of neural activity. Program No. 742.08. 2022 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2022. Online.
Gillespie, A.K., Astudillo Maya, D.A., , Denovellis, E.L., Desse, S., Eden, U.T., Frank, L.M. Real-time feedback can promote task-relevant memory replay. Program No. 742.05. 2022 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2022. Online. Online.
Denovellis, E.L., Frank, L.M. Confidently decoding multiple spatial environments in hippocampal replay, Program No. 66. Santorini, Greece: AREADNE Research in Encoding and Decoding of Neural Ensembles, 2022. Online.
Denovellis, E.L., Gillespie, A.K., Coulter, M.E., M. Sosa, Eden, U.T., Frank, L.M. Hippocampal replay of experience at real-world speeds. Program No. 842.02. 2021 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2021. Online.
Gillespie, A.K., Astudillo Maya, D.A., Denovellis, E.L., Liu, D.F., Kastner, D.B., Coulter, M.E., Roumis, D.K., Eden, U.T., Frank, L.M. Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice. Program No. 842.01. 2021 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2021. Online.
Denovellis, E.L., Gillespie, A.K., Coulter, M.E., Frank, L.M., Eden, U.T. A state space model for characterizing replay dynamics. Program No. 162.04. 2019 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2019. Online.
Gillespie, A.K., Astudillo Maya, D.A., Liu, D.F., Coulter, M.E., Denovellis, E.L., Desse, S., Roumis, D.K., Eden, U.T., Frank, L.M. Operant conditioning of hippocampal sharp wave ripples. Program No. 162.02. 2019 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2019. Online.
Denovellis, E.L., Gillespie, A.K., Coulter, M.E., Frank, L.M., Eden, U.T. A state space model for characterizing trajectory dynamics of non-local spatial firing in hippocampus. Ninth International Workshop Statistical Analysis of Neuronal Data, 2019.
Denovellis, E.L., Stephen, E.P., Eden, U.T, and Kramer, M.A. Interactive data visualization for electrophysiological data. Program No. 703.20. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2018. Online.
Denovellis, E.L., Buschman, T.J., Diogo, C., Bullock, D., and Miller, E.K. Point process models of anterior cingulate and dorsolateral prefrontal cortical neurons during cognitive control. Program No. 599.12. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online.
Buschman, T.J., Denovellis, E.L., Diogo, C., Bullock, D., and Miller, E.K. Dynamic, synchronous, sub-networks in prefrontal cortex encode stimulus-response rules. Program No. 599.12. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online.
Buschman, T.J., Denovellis, E.L., Diogo, C., Bullock, D., and Miller, E.K. (2012). Dynamic networks in frontal cortex support the cognitive flexibility to switch between rules. Poster presented at the Computational and systems neuroscience (Cosyne) meeting, Salt Lake City, UT.
Denovellis, E.L., Buschman, T.J., Diogo, C., Bullock, D., and Miller, E.K. Rule-based task switching in the anterior cingulate and prefrontal cortex. Program No. 405.18. 2011 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2011. Online.