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Memory decoding model is a computational model that maps neural signals to memories (Fig. 1). It can be used to investigate memory encoding and retrieval processes in the brain.
Structure of the hippocampal memory decoding model. Model inputs are spatio-temporal patterns of hippocampal spikes. Model outputs are memory labels related to features and categories of sample images. Neural activity features are extracted with B-spline basis functions. The classifier takes the form of a sparse logistic regression classifier
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Hampson RE, Song D, Robinson BS, Fetterhoff D, Dakos AS, Roeder BM, Wicks RT, Witcher MR, Couture DE, Laxton AW, Munger-Clary H, Popli G, Sollman MJ, Marmarelis VZ, Berger TW, Deadwyler SA (2018) A hippocampal neural prosthetic for restoration of human memory function. Journal of Neural Engineering 15:036014. https://doi.org/10.1088/1741-2552/aaaed7
Song D, Chan RHM, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW (2007) Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses. IEEE Transactions in Biomedical Engineering 54:1053–1066
Song D, Wang H, Tu CY, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW (2013) Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions. Journal of Computational Neuroscience 35:335–357
Song D, Harway M, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW (2014) Extraction and restoration of hippocampal spatial memories with nonlinear dynamical modeling. Frontiers in Systems Neuroscience. https://doi.org/10.3389/fnsys.2014.00097
Song D, Hampson RE, Robinson BS, Marmarelis VZ, Deadwyler SA, Berger TW (2016) Decoding memory features from hippocampal spiking activities using sparse classification models. Proceedings of the IEEE EMBC Conference:1620–1623
Song D, She X, Hampson RE, Deadwyler SA, Berger TW (2017) Multi-resolution multi-trial sparse classification model for decoding visual memories from hippocampal spiking activities. Proceedings of the IEEE EMBC Conference:1046–1049
Song D, Robinson BS, Hampson RE, Marmarelis VZ, Deadwyler SA, Berger TW (2018) Sparse large-scale nonlinear dynamical modeling of human hippocampus for memory prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018 26(2):272–280. https://doi.org/10.1109/TNSRE.2016.2604423
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Song, D. (2021). Memory Decoding Model. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_100677-1
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_100677-1
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