Topography in the bursting dynamics of entorhinal neurons
Open accessAbstract
Medial entorhinal cortex contains neural substrates for representing space. These substrates include grid cells that fire in repeating locations and increase in scale progressively along the dorsal-to-ventral entorhinal axis, with the physical distance between grid firing nodes increasing from tens of centimeters to several meters in rodents. Whether the temporal scale of grid cell spiking dynamics shows a similar dorsal-to-ventral organization remains unknown. Here, we report the presence of a dorsal-to-ventral gradient in the temporal spiking dynamics of grid cells in behaving mice. This gradient in bursting supports the emergence of a dorsal grid cell population with a high signal-to-noise ratio. In vitro recordings combined with a computational model point to a role for gradients in non-inactivating sodium conductances in supporting the bursting gradient in vivo. Taken together, these results reveal a complementary organization in the temporal and intrinsic properties of entorhinal cells.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Neurons in navigational brain regions change their firing patterns ('remap') in response to changing contextual factors such as environmental cues, task conditions, and behavioral states.
“These cells also change their firing patterns (‘remap’) in response to changing contextual factors such as environmental cues, task conditions, and behavioral states, which influence neural activity throughout the brain.”
From Remapping in a recurrent neural network model of navigation and context inference (2023) · cites this paper as Bant et al., 2020
The Introduction (page not provided) says medial entorhinal neurons support navigation and that their firing rates vary with position, head direction, or running speed. That supports activity varying with navigational behavior, but the cited passages do not establish remapping in response to changing environmental cues, task conditions, or behavioral states. (LLM, conf=0.78)
Experimental — accuracy not yet measuredMedial entorhinal cortex neurons change their firing rates and shift their spatial firing positions (remap) under a variety of circumstances, even when navigational cues remain stable.
“At the same time, these neurons change their firing rates and shift their spatial firing positions—or ‘remap’—under a variety of circumstances, even when navigational cues remain stable (Bant et al., 2020; Boccara et al., 2019; Butler et al., 2019; Campbell et al., 2021; Campbell et al., 2018; Hardcastle et al., 2017b; Low et al., 2021).”
From Remapping in a recurrent neural network model of navigation and context inference (2023) · cites this paper as Bant et al., 2020
The Introduction (page not supplied) describes MEC firing rates as a function of position, while the Discussion addresses bursting dynamics and spatial tuning. Neither passage says that neurons change firing rates and shift their firing locations across circumstances while navigational cues remain stable. Searches for remapping, stable cues, and changes across conditions did not find that claim in our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Microstructure of a spatial map in the entorhinal cortex
Hafting, T., Fyhn, M., Molden, S., Moser, M.-B., & Moser, E. I. (2005) · Nature · doi:10.1038/nature03721 · Cited by 4,068 · see citing works
Are the Dorsal and Ventral Hippocampus Functionally Distinct Structures?
Fanselow, M. S., & Dong, H.-W. (2010) · Neuron · doi:10.1016/j.neuron.2009.11.031 · Cited by 3,358 · see citing works
Functional organization of the hippocampal longitudinal axis
Strange, B. A., Witter, M. P., Lein, E. S., & Moser, E. I. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3785 · Cited by 1,738 · see citing works
Conjunctive Representation of Position, Direction, and Velocity in Entorhinal Cortex
Sargolini, F., Fyhn, M., Hafting, T., McNaughton, B. L., Witter, M. P., Moser, M.-B., & Moser, E. I. (2006) · Science · doi:10.1126/science.1125572 · Cited by 1,485 · see citing works
Bursts as a unit of neural information: making unreliable synapses reliable
Lisman, J. E. (1997) · Trends in Neurosciences · doi:10.1016/s0166-2236(96)10070-9 · Cited by 1,412 · see citing works
Studies on single neurons in dorsal hippocampal formation and septum in unrestrained rats
Ranck, J. B. (1973) · Experimental Neurology · doi:10.1016/0014-4886(73)90290-2 · Cited by 1,322 · see citing works
Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity
Brette, R., & Gerstner, W. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00686.2005 · Cited by 1,285 · see citing works
Representation of Geometric Borders in the Entorhinal Cortex
Solstad, T., Boccara, C. N., Kropff, E., Moser, M.-B., & Moser, E. I. (2008) · Science · doi:10.1126/science.1166466 · Cited by 1,213 · see citing works
Harris, K. D., Henze, D. A., Csicsvari, J. L., Hirase, H., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.401 · Cited by 1,153 · see citing works
Spatial firing patterns of hippocampal complex-spike cells in a fixed environment
Muller, R., Kubie, J., & Ranck, J. B. (1987) · Journal of Neuroscience · doi:10.1523/jneurosci.07-07-01935.1987 · Cited by 898 · see citing works
Accurate Path Integration in Continuous Attractor Network Models of Grid Cells
Burak, Y., & Fiete, I. R. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000291 · Cited by 779 · see citing works
Mizuseki, K., Sirota, A., Pastalkova, E., & Buzsáki, G. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.037 · Cited by 718 · see citing works
The entorhinal grid map is discretized
Stensola, H., Stensola, T., Solstad, T., Frøland, K., Moser, M., & Moser, E. I. (2012) · Nature · doi:10.1038/nature11649 · Cited by 706 · see citing works
An oscillatory interference model of grid cell firing
Burgess, N., Barry, C., & O'Keefe, J. M. (2007) · Hippocampus · doi:10.1002/hipo.20327 · Cited by 688 · see citing works
Speed cells in the medial entorhinal cortex
Kropff, E., Carmichael, J. E., Moser, M.-B., & Moser, E. I. (2015) · Nature · doi:10.1038/nature14622 · Cited by 668 · see citing works
Development of the Spatial Representation System in the Rat
Langston, R. F., Ainge, J. A., Couey, J. J., Canto, C. B., Bjerknes, T. L., Witter, M. P., Moser, E. I., & Moser, M. (2010) · Science · doi:10.1126/science.1188210 · Cited by 667 · see citing works
A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex
Fuhs, M. C., & Touretzky, D. S. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.4353-05.2006 · Cited by 628 · see citing works
Reliability and State Dependence of Pyramidal Cell–Interneuron Synapses in the Hippocampus
Csicsvari, J., Hirase, H., Czurko, A., & Buzsáki, G. (1998) · Neuron · doi:10.1016/s0896-6273(00)80525-5 · Cited by 606 · see citing works
Resurgent Sodium Current and Action Potential Formation in Dissociated Cerebellar Purkinje Neurons
Raman, I. M., & Bean, B. P. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-12-04517.1997 · Cited by 568 · see citing works
Subthreshold Na+-dependent theta-like rhythmicity in stellate cells of entorhinal cortex layer II
Alonso, Á., & Llinás, R. R. (1989) · Nature · doi:10.1038/342175a0 · Cited by 568 · see citing works
Intradendritic recordings from hippocampal neurons.
Wong, R. K. S., Prince, D. A., & Basbaum, A. I. (1979) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.76.2.986 · Cited by 554 · see citing works
Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons
Bittner, K. C., Grienberger, C., Vaidya, S. P., Milstein, A. D., Macklin, J. J., Suh, J., Tonegawa, S., & Magee, J. C. (2015) · Nature Neuroscience · doi:10.1038/nn.4062 · Cited by 540 · see citing works
Hippocampal CA1 pyramidal cells form functionally distinct sublayers
Mizuseki, K., Diba, K., Pastalkova, E., & Buzsáki, G. (2011) · Nature Neuroscience · doi:10.1038/nn.2894 · Cited by 453 · see citing works
Alonso, A., & Klink, R. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.1.128 · Cited by 421 · see citing works
Recurrent inhibitory circuitry as a mechanism for grid formation
Couey, J. J., Witoelar, A., Zhang, S., Zheng, K., Ye, J., Dunn, B. A., Czajkowski, R., Moser, M., Moser, E. I., Roudi, Y., et al. (2013) · Nature Neuroscience · doi:10.1038/nn.3310 · Cited by 413 · see citing works
Riluzole inhibits the persistent sodium current in mammalian CNS neurons
Urbani, A., & Belluzzi, O. (2000) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2000.00242.x · Cited by 381 · see citing works
Dickson, C. T., Magistretti, J., Shalinsky, M. H., Fransén, E. A., Hasselmo, M. E., & Alonso, Á. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.5.2562 · Cited by 317 · see citing works
A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex
Hardcastle, K., Maheswaranathan, N., Ganguli, S., & Giocomo, L. M. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.025 · Cited by 312 · see citing works
Self-citationKhaliq, Z. M., Gouwens, N. W., & Raman, I. M. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-12-04899.2003 · Cited by 308 · see citing works
Intracellular Determinants of Hippocampal CA1 Place and Silent Cell Activity in a Novel Environment
Epsztein, J., Brecht, M., & Lee, A. K. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.006 · Cited by 306 · see citing works
Otto, T., Eichenbaum, H., Wible, C. G., & Wiener, S. I. (1991) · Hippocampus · doi:10.1002/hipo.450010206 · Cited by 304 · see citing works
Generation of theta rhythm in medial entorhinal cortex of freely moving rats
Mitchell, S. J., & Ranck, J. B. (1980) · Brain Research · doi:10.1016/0006-8993(80)90006-2 · Cited by 299 · see citing works
Azouz, R., Jensen, M. S., & Yaari, Y. (1996) · The Journal of Physiology · doi:10.1113/jphysiol.1996.sp021302 · Cited by 243 · see citing works
Renart, A., Song, P., & Wang, X. (2003) · Neuron · doi:10.1016/s0896-6273(03)00255-1 · Cited by 243 · see citing works
Sather, W. A., Dieudonné, S., MacDonald, J. F., & Ascher, P. (1992) · The Journal of Physiology · doi:10.1113/jphysiol.1992.sp019148 · Cited by 234 · see citing works
Ionic Mechanisms Underlying Repetitive High-Frequency Burst Firing in Supragranular Cortical Neurons
Brumberg, J. C., Nowak, L. G., & McCormick, D. A. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-13-04829.2000 · Cited by 234 · see citing works
Remembered reward locations restructure entorhinal spatial maps
Butler, W. N., Hardcastle, K., & Giocomo, L. M. (2019) · Science · doi:10.1126/science.aav5297 · Cited by 232 · see citing works
Self-citationMartina, M., & Jonas, P. (1997) · The Journal of Physiology · doi:10.1111/j.1469-7793.1997.593ba.x · Cited by 229 · see citing works
Graves, A. R., Moore, S. J., Bloss, E. B., Mensh, B. D., Kath, W. L., & Spruston, N. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.036 · Cited by 213 · see citing works
Bursting Neurons Signal Input Slope
Kepecs, Á., Wang, X., & Lisman, J. E. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-20-09053.2002 · Cited by 209 · see citing works
Carter, B. C., & Bean, B. P. (2009) · Neuron · doi:10.1016/j.neuron.2009.12.011 · Cited by 209 · see citing works
Role of Axonal NaV1.6 Sodium Channels in Action Potential Initiation of CA1 Pyramidal Neurons
Royeck, M., Horstmann, M., Remy, S., Reitze, M., Yaari, Y., & Beck, H. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90332.2008 · Cited by 204 · see citing works
Diehl, G. W., Hon, O. J., Leutgeb, S., & Leutgeb, J. K. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.004 · Cited by 204 · see citing works
Parallel Processing of Sensory Input by Bursts and Isolated Spikes
Oswald, A.-M. M., Chacron, M. J., Doiron, B., Bastian, J., & Maler, L. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.0459-04.2004 · Cited by 196 · see citing works
Dissociable Structural and Functional Hippocampal Outputs via Distinct Subiculum Cell Classes
Cembrowski, M. S., Phillips, M. G., DiLisio, S. F., Shields, B. C., Winnubst, J., Chandrashekar, J. V., Bas, E., & Spruston, N. (2018) · Cell · doi:10.1016/j.cell.2018.03.031 · Cited by 195 · see citing works
Metz, A. E. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.0624-05.2005 · Cited by 182 · see citing works
Block of the rat brain IIA sodium channel alpha subunit by the neuroprotective drug riluzole.
Hébert, T. E., Drapeau, P., Pradier, L., & Dunn, R. J. (1994) · Molecular Pharmacology · doi:10.1016/s0026-895x(25)10187-9 · Cited by 181 · see citing works
Differential Action of Riluzole on Tetrodotoxin-Sensitive and Tetrodotoxin-Resistant Sodium Channels
Song, J.-H., Huang, C.-S., Nagata, K., Yeh, J. Z., & Narahashi, T. (1997) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/s0022-3565(24)36856-9 · Cited by 176 · see citing works
Magistretti, J., & Alonso, A. (1999) · The Journal of General Physiology · doi:10.1085/jgp.114.4.491 · Cited by 174 · see citing works
Impaired path integration in mice with disrupted grid cell firing
Gil, M., Ancau, M., Schlesiger, M. I., Neitz, A., Allen, K., De Marco, R. J., & Monyer, H. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0039-3 · Cited by 174 · see citing works
Regulation of Persistent Na Current by Interactions between β Subunits of Voltage-Gated Na Channels
Aman, T. K., Grieco‐Calub, T. M., Chen, C., Rusconi, R., Slat, E. A., Isom, L. L., & Raman, I. M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4531-08.2009 · Cited by 171 · see citing works
Garden, D. L. F., Dodson, P. D., O’Donnell, C., White, M. D., & Nolan, M. F. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.044 · Cited by 165 · see citing works
Traub, R. D., Buhl, E. H., Gloveli, T., et al. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00573.2002 · Cited by 164 · see citing works
Grid Cells Use HCN1 Channels for Spatial Scaling
Giocomo, L. M., Hussaini, S. A., Fan, Z., Kandel, E. R., Moser, M., & Moser, E. I. (2011) · Cell · doi:10.1016/j.cell.2011.08.051 · Cited by 158 · see citing works
Self-citationKhaliq, Z. M., & Raman, I. M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.4664-05.2006 · Cited by 157 · see citing works
Topography of Head Direction Cells in Medial Entorhinal Cortex
Giocomo, L. M., Stensola, T., Bonnevie, T., Cauter, T. V., Moser, M., & Moser, E. I. (2014) · Current Biology · doi:10.1016/j.cub.2013.12.002 · Cited by 144 · see citing works
Self-citationMorphological characteristics of layer II projection neurons in the rat medial entorhinal cortex
Klink, R., & Alonso, Á. (1997) · Hippocampus · doi:10.1002/(sici)1098-1063(1997)7:5 · Cited by 137 · see citing works
Channel Noise is Essential for Perithreshold Oscillations in Entorhinal Stellate Neurons
Dorval, A. D., & White, J. A. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.3557-05.2005 · Cited by 130 · see citing works
Bant, J. S., & Raman, I. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005633107 · Cited by 123 · see citing works
Self-citationDistinct speed dependence of entorhinal island and ocean cells, including respective grid cells
Sun, C., 北村, 貴., Yamamoto, J., Martin, J., Pignatelli, M., Kitch, L. J., Schnitzer, M. J., & Tonegawa, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511668112 · Cited by 121 · see citing works
Giocomo, L. M., & Hasselmo, M. E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0609-09.2009 · Cited by 119 · see citing works
Self-citationGiocomo, L. M., & Hasselmo, M. E. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.3196-08.2008 · Cited by 109 · see citing works
Self-citationKim, Y., & Spruston, N. (2011) · Hippocampus · doi:10.1002/hipo.20931 · Cited by 103 · see citing works
Tang, Q., Burgalossi, A., Ebbesen, C. L., Ray, S., Naumann, R. K., Schmidt, H., Spicher, D., & Brecht, M. (2014) · Neuron · doi:10.1016/j.neuron.2014.11.009 · Cited by 102 · see citing works
First node of Ranvier facilitates high-frequency burst encoding.
Kole, M. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.024 · Cited by 96 · see citing works
Hamada, M. S., Goethals, S., de Vries, S. I., Brette, R., & Kole, M. H. P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1607548113 · Cited by 94 · see citing works
Visual responses in V1 of freely viewing monkeys.
Livingstone, M. S., Freeman, D., & Hubel, D. H. (1996) · PubMed · Cited by 91 · see citing works
Inhibitory Gradient along the Dorsoventral Axis in the Medial Entorhinal Cortex
Beed, P. S., Gundlfinger, A., Schneiderbauer, S., Song, J., Böhm, C., Burgalossi, A., Brecht, M., Vida, I., & Schmitz, D. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.038 · Cited by 89 · see citing works
Increased Size and Stability of CA1 and CA3 Place Fields in HCN1 Knockout Mice
Hussaini, S. A., Kempadoo, K. A., Thuault, S., Siegelbaum, S. A., & Kandel, E. R. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.007 · Cited by 86 · see citing works
Burst Firing and Modulation of Functional Connectivity in Cat Striate Cortex
Snider, R. K., Kabara, J. F., Roig, B. R., & Bonds, A. B. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.2.730 · Cited by 78 · see citing works
Milescu, L. S., Bean, B. P., & Smith, J. C. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.6136-09.2010 · Cited by 76 · see citing works
Fernandez, F. R., & White, J. A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5658-07.2008 · Cited by 73 · see citing works
Yoshida, M., & Alonso, Á. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00033.2007 · Cited by 72 · see citing works
Pastoll, H., Ramsden, H. L., & Nolan, M. F. (2012) · Frontiers in Neural Circuits · doi:10.3389/fncir.2012.00017 · Cited by 72 · see citing works
Magistretti, J., Ragsdale, D. S., & Alonso, Á. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-17-07334.1999 · Cited by 67 · see citing works
Patterns in the discharge of simple and complex visual cortical cells
Cattaneo, A., Maffei, L., & Morrone, C. (1981) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1981.0039 · Cited by 66 · see citing works
Hsu, C.-L., Zhao, X., Milstein, A. D., & Spruston, N. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.025 · Cited by 60 · see citing works
Cell types for our sense of location: where we are and where we are going
Hardcastle, K., Ganguli, S., & Giocomo, L. M. (2017) · Nature Neuroscience · doi:10.1038/nn.4654 · Cited by 59 · see citing works
Self-citationInterspike Intervals Reveal Functionally Distinct Cell Populations in the Medial Entorhinal Cortex
Latuske, P., Toader, O., & Allen, K. L. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0276-15.2015 · Cited by 54 · see citing works
Burst Firing and Spatial Coding in Subicular Principal Cells
Simonnet, J., & Brecht, M. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1656-18.2019 · Cited by 52 · see citing works
Burst-firing sharpens frequency-tuning in primary auditory cortex
Eggermont, J. J., & Smith, G. M. (1996) · Neuroreport · doi:10.1097/00001756-199602290-00018 · Cited by 46 · see citing works
Grid scale drives the scale and long-term stability of place maps
Mallory, C. S., Hardcastle, K., Bant, J. S., & Giocomo, L. M. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0055-3 · Cited by 46 · see citing works
Self-citationSpontaneous Bursting Activity in the Developing Entorhinal Cortex
Sheroziya, M., Halbach, O. V. B. U., Unsicker, K., & Egorov, A. V. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1333-09.2009 · Cited by 42 · see citing works
Castelli, L., Nigro, M. J., & Magistretti, J. (2007) · Brain Research · doi:10.1016/j.brainres.2007.05.065 · Cited by 33 · see citing works
Pastoll, H., White, M. D., & Nolan, M. F. (2012) · Journal of Visualized Experiments · doi:10.3791/3802 · Cited by 28 · see citing works
Mulas, M., Waniek, N., & Conradt, J. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00013 · Cited by 28 · see citing works
Examination of rhythmicity of extracellularly recorded neurons in the entorhinal cortex
Climer, J. R., DiTullio, R. W., Newman, E. L., Hasselmo, M. E., & Eden, U. T. (2014) · Hippocampus · doi:10.1002/hipo.22383 · Cited by 25 · see citing works
Hyperpolarization‐activated cyclic nucleotide‐gated 1 independent grid cell‐phase precession in mice
Eggink, H. M., Mertens, P. E. C., Storm, E., & Giocomo, L. M. (2013) · Hippocampus · doi:10.1002/hipo.22231 · Cited by 22 · see citing works
Self-citationBursting Neurons in the Hippocampal Formation Encode Features of LFP Rhythms
Constantinou, M., Cogno, S. G., Elijah, D. H., Kropff, E., Gigg, J., Samengo, I., & Montemurro, M. A. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00133 · Cited by 15 · see citing works
Current density analysis of outward currents in acutely isolated rat entorhinal cortex cells
Eder, C., & Heinemann, U. (1994) · Neuroscience Letters · doi:10.1016/0304-3940(94)90118-x · Cited by 12 · see citing works
Carette, B., Poulain, P., & Doutrelant, O. (1992) · Experimental Brain Research · doi:10.1007/bf00230018 · Cited by 12 · see citing works
Nigro, M. J., Quattrocolo, G., & Magistretti, J. (2012) · Brain Research · doi:10.1016/j.brainres.2012.04.049 · Cited by 9 · see citing works
Ramsden, H. L., Simpson, T. I., & Nolan, M. F. (2012) · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Dynamic and reversible remapping of network representations in an unchanging environment
Low, I. I. C., Williams, A. H., Campbell, M. G., Linderman, S. W., & Giocomo, L. M. (2021) · Neuron · doi:10.1016/j.neuron.2021.07.005 · Cited by 70 · see citing works
Self-citationRemapping in a recurrent neural network model of navigation and context inference
Low, I. I., Giocomo, L. M., & Williams, A. H. (2023) · eLife · doi:10.7554/elife.86943 · Cited by 15 · see citing works
Self-citationRemapping in a recurrent neural network model of navigation and context inference
Low, I. I. C., Giocomo, L. M., & Williams, A. H. (2023) · doi:10.1101/2023.01.25.525596 · Cited by 3 · see citing works
Self-citationRemapping in a recurrent neural network model of navigation and context inference
Low, I. I., Giocomo, L. M., & Williams, A. H. (2023) · eLife · doi:10.7554/elife.86943.3 · Cited by 1 · see citing works
Self-citation
- Authors
- Bant, J. S., Hardcastle, K., Ocko, S. A., & Giocomo, L. M.
- Affiliations
- Stanford Medicine (US)
- Stanford University (US)
- Corresponding author
- Giocomo, Lisa M.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 30
- Issue
- 7
- Pages
- 2349-2359.e7
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC7053254
- OpenAlex
- W3007395460
- Cited by
- 25
- References
- 94
- Citations by year
- 2024: 2 · 2023: 13 · 2022: 2 · 2021: 4 · 2020: 4
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by-nc-nd)
- SSRN Electronic Journal (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation
- Whitehall Foundation
- Esther A. and Joseph Klingenstein Fund
- Simons Foundation
- National Institute of Mental Health
- Office of Naval Research
- New York Stem Cell Foundation
- James S. McDonnell Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- medial entorhinal cortex, grid cells, bursting dynamics, signal-to-noise ratio, spatial representation, computational model
- MeSH terms
- Animals, Female, Male, Models, Neurological, Neurons, Entorhinal Cortex, Topography, Medical, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
