MacDonald, C. J., Lepage, K. Q., Eden, U. T. & Eichenbaum, H. Hippocampal ‘time cells’ bridge the gap in memory for discontiguous events. Neuron 71, 737–749 (2011).
Google Scholar
Gauthier, J. L. & Tank, D. W. A dedicated population for reward coding in the hippocampus. Neuron 99, 179–193.e7 (2018).
Google Scholar
Aronov, D., Nevers, R. & Tank, D. W. Mapping of a non-spatial dimension by the hippocampal–entorhinal circuit. Nature 543, 719–722 (2017).
Google Scholar
Manns, J. R., Howard, M. W. & Eichenbaum, H. Gradual changes in hippocampal activity support remembering the order of events. Neuron 56, 530–540 (2007).
Google Scholar
Josselyn, S. A. & Tonegawa, S. Memory engrams: recalling the past and imagining the future. Science 367, eaaw4325 (2020).
Google Scholar
Tuncdemir, S. N. et al. Parallel processing of sensory cue and spatial information in the dentate gyrus. Cell Rep. 38, 110257 (2022).
Google Scholar
Purandare, C. & Mehta, M. Mega-scale movie-fields in the mouse visuo-hippocampal network. eLife 12, RP85069 (2023).
Google Scholar
Radvansky, B. A., Oh, J. Y., Climer, J. R. & Dombeck, D. A. Behavior determines the hippocampal spatial mapping of a multisensory environment. Cell Rep. 36, 109444 (2021).
Google Scholar
O’Keefe, J. & Krupic, J. Do hippocampal pyramidal cells respond to nonspatial stimuli? Physiol. Rev. 101, 1427–1456 (2021).
Google Scholar
Eichenbaum, H. A cortical–hippocampal system for declarative memory. Nat. Rev. Neurosci. 1, 41–50 (2000).
Google Scholar
Vanderwolf, C. H. Hippocampal electrical activity and voluntary movement in the rat. Electroencephalogr. Clin. Neurophysiol. 26, 407–418 (1969).
Google Scholar
Arezzo, J. & Vaughan, H. G. Cortical potentials associated with voluntary movements in the monkey. Brain Res. 88, 99–104 (1975).
Google Scholar
Numan, R. A prefrontal–hippocampal comparator for goal-directed behavior: the intentional self and episodic memory. Front. Behav. Neurosci. 9, 323 (2015).
Google Scholar
Miller, E. K. & Cohen, J. D. An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 24, 167–202 (2001).
Google Scholar
Olton, D. S., Becker, J. T. & Handelmann, G. E. Hippocampal function: working memory or cognitive mapping? Physiol. Psychol. 8, 239–246 (1980).
Google Scholar
McNaughton, B. L. et al. Deciphering the hippocampal polyglot: the hippocampus as a path integration system. J. Exp. Biol. 199, 173–185 (1996).
Google Scholar
Stachenfeld, K. L., Botvinick, M. M. & Gershman, S. J. The hippocampus as a predictive map. Nat. Neurosci. 20, 1643–1653 (2017).
Google Scholar
Buzsáki, G. & Moser, E. I. Memory, navigation and theta rhythm in the hippocampal–entorhinal system. Nat. Neurosci. 16, 130–138 (2013).
Google Scholar
Schiller, D. et al. Memory and space: towards an understanding of the cognitive map. J. Neurosci. 35, 13904–13911 (2015).
Google Scholar
Lisman, J. et al. Viewpoints: how the hippocampus contributes to memory, navigation and cognition. Nat. Neurosci. 20, 1434–1447 (2017).
Google Scholar
Huszár, R., Zhang, Y., Blockus, H. & Buzsáki, G. Preconfigured dynamics in the hippocampus are guided by embryonic birthdate and rate of neurogenesis. Nat. Neurosci. 25, 1201–1212 (2022).
Google Scholar
Sosa, M., Plitt, M. H. & Giocomo, L. M. Hippocampal sequences span experience relative to rewards. Preprint at bioRxiv https://doi.org/10.1101/2023.12.27.573490 (2023).
Syed, E. C. J. et al. Action initiation shapes mesolimbic dopamine encoding of future rewards. Nat. Neurosci. 19, 34–36 (2015).
Google Scholar
Bogacz, R. Dopamine role in learning and action inference. eLife 9, e53262 (2020).
Google Scholar
Wikenheiser, A. M. & Redish, A. D. Hippocampal theta sequences reflect current goals. Nat. Neurosci. 18, 289–294 (2015).
Google Scholar
Kay, K. et al. Constant sub-second cycling between representations of possible futures in the hippocampus. Cell 180, 552–567.e25 (2020).
Google Scholar
Sun, C., Yang, W., Martin, J. & Tonegawa, S. Hippocampal neurons represent events as transferable units of experience. Nat. Neurosci. 23, 651–663 (2020).
Google Scholar
Nieh, E. H. et al. Geometry of abstract learned knowledge in the hippocampus. Nature 595, 80–84 (2021).
Google Scholar
Muller, R. U. & Kubie, J. L. The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells. J. Neurosci. 7, 1951–1968 (1987).
Google Scholar
Hales, J. B. et al. Medial entorhinal cortex lesions only partially disrupt hippocampal place cells and hippocampus-dependent place memory. Cell Rep. 9, 893–901 (2014).
Google Scholar
Ormond, J., McNaughton, B. L. & Moser, E. I. Place field expansion after focal MEC inactivations is consistent with loss of Fourier components and path integrator gain reduction. Proc. Natl Acad. Sci. USA 112, 4116–4121 (2015).
Google Scholar
Robinson, N. T. M. et al. Medial entorhinal cortex selectively supports temporal coding by hippocampal neurons. Neuron 94, 677–688.e6 (2017).
Google Scholar
Zutshi, I., Valero, M., Fernández-Ruiz, A. & Buzsáki, G. Extrinsic control and intrinsic computation in the hippocampal CA1 circuit. Neuron 110, 658–673.e5 (2022).
Google Scholar
Pastalkova, E., Itskov, V., Amarasingham, A. & Buzsáki, G. Internally generated cell assembly sequences in the rat hippocampus. Science 321, 1322–1327 (2008).
Google Scholar
Green, L., Tingley, D., Rinzel, J. & Buzsáki, G. Action-driven remapping of hippocampal neuronal populations in jumping rats. Proc. Natl Acad. Sci. USA 119, e2122141119 (2022).
Google Scholar
Diba, K. & Buzsáki, G. Hippocampal network dynamics constrain the time lag between pyramidal cells across modified environments. J. Neurosci. 28, 13448–13456 (2008).
Google Scholar
Muzzio, I. A. et al. Attention enhances the retrieval and stability of visuospatial and olfactory representations in the dorsal hippocampus. PLoS Biol. 7, e1000140 (2009).
Google Scholar
Jackson, J. & Redish, A. D. Network dynamics of hippocampal cell-assemblies resemble multiple spatial maps within single tasks. Hippocampus 17, 1209–1229 (2007).
Google Scholar
Fenton, A. A. & Muller, R. U. Place cell discharge is extremely variable during individual passes of the rat through the firing field. Proc. Natl Acad. Sci. USA 95, 3182–3187 (1998).
Google Scholar
Kentros, C. G., Agnihotri, N. T., Streater, S., Hawkins, R. D. & Kandel, E. R. Increased attention to spatial context increases both place field stability and spatial memory. Neuron 42, 283–295 (2004).
Google Scholar
Frank, L. M., Brown, E. N. & Wilson, M. Trajectory encoding in the hippocampus and entorhinal cortex. Neuron 27, 169–178 (2000).
Google Scholar
Wood, E. R., Dudchenko, P. A., Robitsek, R. J. & Eichenbaum, H. Hippocampal neurons encode information about different types of memory episodes occurring in the same location. Neuron 27, 623–633 (2000).
Google Scholar
Whittington, J. C. R. et al. The Tolman–Eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation. Cell 183, 1249–1263.e23 (2020).
Google Scholar
El-Gaby, M. et al. A cellular basis for mapping behavioural structure. Nature https://doi.org/10.1038/s41586-024-08145-x (2024).
Villette, V., Malvache, A., Tressard, T., Dupuy, N. & Cossart, R. Internally recurring hippocampal sequences as a population template of spatiotemporal information. Neuron 88, 357–366 (2015).
Google Scholar
Buzsáki, G. & Tingley, D. Space and time: the hippocampus as a sequence generator. Trends Cogn. Sci. 22, 853–869 (2018).
Google Scholar
Liberti, W. A., Schmid, T. A., Forli, A., Snyder, M. & Yartsev, M. M. A stable hippocampal code in freely flying bats. Nature 604, 98–103 (2022).
Google Scholar
Schacter, D. L. & Addis, D. R. On the nature of medial temporal lobe contributions to the constructive simulation of future events. Phil. Trans. R. Soc. B 364, 1245–1253 (2009).
Google Scholar
Wikenheiser, A. M. & Redish, A. D. Decoding the cognitive map: ensemble hippocampal sequences and decision making. Curr. Opin. Neurobiol. https://doi.org/10.1016/j.conb.2014.10.002 (2014).
Hok, V. et al. Goal-related activity in hippocampal place cells. J. Neurosci. 27, 472–482 (2007).
Google Scholar
Tyler, E. & Kravitz, L. Walking mouse. Zenodo https://doi.org/10.5281/zenodo.3925915 (2020).
Vöröslakos, M., Petersen, P. C., Vöröslakos, B. & Buzsáki, G. Metal microdrive and head cap system for silicon probe recovery in freely moving rodent. eLife 10, e65859 (2021).
Google Scholar
Pachitariu, M., Steinmetz, N., Kadir, S., Carandini, M. & Harris, K. Fast and accurate spike sorting of high-channel count probes with KiloSort. In Proc. 30th International Conference on Neural Information Processing Systems Vol. 29 (eds Lee, D. D. et al.) 4455–4463 (Curran Associates, 2016).
Petersen, P. C., Siegle, J. H., Steinmetz, N. A., Mahallati, S. & Buzsáki, G. CellExplorer: a framework for visualizing and characterizing single neurons. Neuron 109, 3594–3608.e2 (2021).
Google Scholar
Balzani, E., Lakshminarasimhan, K., Angelaki, D. E. & Savin, C. Efficient estimation of neural tuning during naturalistic behavior. In Proc. 34th International Conference on Neural Information Processing Systems (eds Larochelle, H. et al.) 1057 (Curran Associates, 2020).
Noel, J. P. et al. Coding of latent variables in sensory, parietal, and frontal cortices during closed-loop virtual navigation. eLife 11, e80280 (2022).
Google Scholar
Singh, D. & Singh, B. Investigating the impact of data normalization on classification performance. Appl. Soft Comput. 97, 105524 (2020).
Lopes-dos-Santos, V., Ribeiro, S. & Tort, A. B. L. Detecting cell assemblies in large neuronal populations. J. Neurosci. Methods 220, 149–166 (2013).
Google Scholar
van de Ven, G. M., Trouche, S., McNamara, C. G., Allen, K. & Dupret, D. Hippocampal offline reactivation consolidates recently formed cell assembly patterns during sharp wave-ripples. Neuron 92, 968–974 (2016).
Google Scholar
Ritchey, M., Libby, L. A. & Ranganath, C. Cortico-hippocampal systems involved in memory and cognition: the PMAT framework. Prog. Brain Res. 219, 45–64 (2015).
Yang, W. et al. Selection of experience for memory by hippocampal sharp wave ripples. Science 383, 1478–1483 (2024).
Google Scholar
McInnes, L., Healy, J., Saul, N. & Großberger, L. UMAP: uniform manifold approximation and projection. J. Open Source Softw. 3, 861 (2018).
Stringer, C. et al. Rastermap: a discovery method for neural population recordings. Nat. Neurosci. https://doi.org/10.1038/s41593-024-01783-4 (2024).
Johnson, A. & Redish, A. D. Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point. J. Neurosci. 27, 12176–12189 (2007).
Google Scholar
Johnson, A., Jackson, J. C. & Redish, A. D. in Information Processing by Neuronal Populations (eds Holscher, C. & Munk, M.) 95–119 (Cambridge Univ. Press, 2008).
Brown, E. N., Frank, L. M., Tang, D., Quirk, M. C. & Wilson, M. A. A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells. J. Neurosci. 18, 7411–7425 (1998).
Google Scholar
Denovellis, E. L. et al. Hippocampal replay of experience at real-world speeds. eLife 10, e64505 (2021).
Google Scholar
Killick, R., Fearnhead, P. & Eckley, I. A. Optimal detection of changepoints with a linear computational cost. J. Am. Stat. Assoc. 107, 1590–1598 (2012).
Zheng, Z. et al. Perpetual step-like restructuring of hippocampal circuit dynamics. Cell Rep. 43, 114702 (2024).
Google Scholar
Hastie, T. & Tibshirani, R. Generalized additive models: some applications. J. Am. Stat. Assoc. 82, 371–386 (1987).
McKenzie, S. et al. Preexisting hippocampal network dynamics constrain optogenetically induced place fields. Neuron 109, 1040–1054.e7 (2021).
Google Scholar
Senzai, Y., Fernandez-Ruiz, A. & Buzsáki, G. Layer-specific physiological features and interlaminar interactions in the primary visual cortex of the mouse. Neuron 101, 500–513.e5 (2019).
Google Scholar
Valero, M. et al. Sleep down state-active ID2/Nkx2.1 interneurons in the neocortex. Nat. Neurosci. 24, 401–411 (2021).
Google Scholar
Zhang, Y. et al. Cholinergic suppression of hippocampal sharp-wave ripples impairs working memory. Proc. Natl Acad. Sci. USA 118, e2016432118 (2021).
Google Scholar
