Temporal frequency of subthreshold oscillations scales with entorhinal grid cell field spacing
Open accessAbstract
Grid cells in layer II of rat entorhinal cortex fire to spatial locations in a repeating hexagonal grid, with smaller spacing between grid fields for neurons in more dorsal anatomical locations. Data from in vitro whole-cell patch recordings showed differences in frequency of subthreshold membrane potential oscillations in entorhinal neurons that correspond to different positions along the dorsal-to-ventral axis, supporting a model of physiological mechanisms for grid cell responses.
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?
These systems are highly structured temporally, e.g., containing nested gamma and theta oscillation structures that are phase locked to sequences of place-cell responses, interfering oscillators frequency-shifted by the animal's motion velocity, tuned cellular resonances, and other neural phenomena that lie far outside a conventional artificial neural network description.
“These systems are highly structured temporally, e.g., containing nested gamma and theta oscillation structures that are phased locked to sequences of place-cell responses, interfering oscillators frequency-shifted by the animal's motion velocity (Zilli and Hasselmo, 2010), tuned cellular resonances (Giocomo et al., 2007; Buzsáki, 2010), and other neural phenomena that lie far outside a convention”
From Toward an integration of deep learning and neuroscience (2016) · cites this paper as Giocomo et al., 2007
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
The Rat Brain in Stereotaxic Coordinates
Paxinos, G., & Watson, C. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-63235-9 · Cited by 28,585 · see citing works
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
Phase relationship between hippocampal place units and the EEG theta rhythm
O'Keefe, J. M., & Recce, M. L. (1993) · Hippocampus · doi:10.1002/hipo.450030307 · Cited by 2,561 · see citing works
Path integration and the neural basis of the 'cognitive map'
McNaughton, B. L., Battaglia, F. P., Jensen, O., Moser, E. I., & Moser, M.-B. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1932 · Cited by 2,024 · 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
Spatial representation in the entorhinal cortex
Fyhn, M., Molden, S., Witter, M. P., Moser, E. I., & Moser, M.-B. (2004) · Science · doi:10.1126/science.1099901 · Cited by 1,339 · see citing works
From Conditioning to Conscious Recollection
Eichenbaum, H., & Cohen, N. J. (2004) · doi:10.1093/acprof:oso/9780195178043.001.0001 · Cited by 1,026 · see citing works
Path integration and cognitive mapping in a continuous attractor neural network model
Samsonovich, A., & McNaughton, B. L. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-15-05900.1997 · Cited by 989 · 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
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
O'Keefe, J. M., & Burgess, N. (2005) · Hippocampus · doi:10.1002/hipo.20115 · Cited by 547 · see citing works
From grid cells to place cells: A mathematical model
Solstad, T., Moser, E. I., & Einevoll, G. T. (2006) · Hippocampus · doi:10.1002/hipo.20244 · Cited by 477 · see citing works
Spatial Memory in the Rat Requires the Dorsolateral Band of the Entorhinal Cortex
Steffenach, H.-A., Witter, M. P., Moser, M., & Moser, E. I. (2005) · Neuron · doi:10.1016/j.neuron.2004.12.044 · Cited by 321 · 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
Self-citationMaurer, A. P., VanRhoads, S. R., Sutherland, G. R., Lipa, P., & McNaughton, B. L. (2005) · Hippocampus · doi:10.1002/hipo.20114 · Cited by 308 · see citing works
Hippocampal mechanisms for the context-dependent retrieval of episodes
Hasselmo, M. E., & Eichenbaum, H. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.08.007 · Cited by 298 · see citing works
Self-citationKnierim, J. J., Kudrimoti, H. S., & McNaughton, B. L. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.425 · Cited by 297 · see citing works
Mechanism of Graded Persistent Cellular Activity of Entorhinal Cortex Layer V Neurons
Fransén, E., Tahvildari, B., Egorov, A. V., Hasselmo, M. E., & Alonso, A. A. (2006) · Neuron · doi:10.1016/j.neuron.2006.01.036 · Cited by 279 · see citing works
Self-citationNoise From Voltage-Gated Ion Channels May Influence Neuronal Dynamics in the Entorhinal Cortex
White, J. A., Klink, R., Alonso, Á., & Kay, A. R. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.262 · Cited by 237 · see citing works
The anatomical and computational basis of the rat head-direction cell signal
Sharp, P. E., Blair, H. T., & Cho, J. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01797-5 · Cited by 236 · see citing works
Erchova, I. A., Kreck, G., Heinemann, U., et al. (2004) · The Journal of Physiology · doi:10.1113/jphysiol.2004.069930 · Cited by 185 · see citing works
Synchronization of Strongly Coupled Excitatory Neurons: Relating Network Behavior to Biophysics
Acker, C. D., Kopell, N., & White, J. A. (2003) · Journal of Computational Neuroscience · doi:10.1023/a:1024474819512 · Cited by 168 · see citing works
Persistent Neural Activity in Head Direction Cells
Taube, J. S. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg102 · Cited by 167 · see citing works
Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing
Lengyel, M., Szatmáry, Z., & Érdi, P. (2003) · Hippocampus · doi:10.1002/hipo.10116 · Cited by 162 · see citing works
Fransén, E. A., Alonso, A. A., Dickson, C. T., Magistretti, J., & Hasselmo, M. E. (2004) · Hippocampus · doi:10.1002/hipo.10198 · Cited by 135 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- [8]Burgess N, Barry C, Jeffery KJ, O’Keefe J. paper presented at the Computational Cognitive Neuroscience Meeting; Washington, D.C. 2005. [Google Scholar]
- [20]Blair HT, Welday AC, Zhang K. Soc Neurosci Abstr. 2006;32:574.14. [Google Scholar]
Cited by
Sorted by citations
Place Cells, Grid Cells, and the Brain's Spatial Representation System
Moser, E. I., Kropff, E., & Moser, M.-B. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.061307.090723 · Cited by 1,934 · 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
Mechanisms and functions of theta rhythms
Colgin, L. L. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170330 · Cited by 559 · see citing works
Reduction of Theta Rhythm Dissociates Grid Cell Spatial Periodicity from Directional Tuning
Brandon, M. P., Bogaard, A. R., Libby, C. P., Connerney, M. A., Gupta, K., & Hasselmo, M. E. (2011) · Science · doi:10.1126/science.1201652 · Cited by 407 · see citing works
Self-citationInhibition-induced theta resonance in cortical circuits
Stark, E., Eichler, R., Roux, L., Fujisawa, S., Rotstein, H. G., & Buzsáki, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.033 · Cited by 326 · see citing works
Attractor Dynamics of Spatially Correlated Neural Activity in the Limbic System
Knierim, J. J., & Zhang, K. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150351 · Cited by 222 · see citing works
Grid cells and theta as oscillatory interference: Electrophysiological data from freely moving rats
Jeewajee, A., Barry, C., O'Keefe, J., & Burgess, N. (2008) · Hippocampus · doi:10.1002/hipo.20510 · Cited by 212 · see citing works
Stranahan, A. M., & Mattson, M. P. (2010) · Neural Plasticity · doi:10.1155/2010/108190 · Cited by 198 · see citing works
“The frequency of subthreshold oscillations [27] and integration of synaptic inputs [28] also covary with spatial selectivity along the dorsal-ventral gradient within the medial entorhinal cortex, suggesting that physiological mechanisms exist to account for grid-based firing in this region.”
Tsintotas, K. A., Bampis, L., & Gasteratos, A. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3175656 · Cited by 175 · see citing works
Knierim, J. J., & Hamilton, D. A. (2011) · Physiological Reviews · doi:10.1152/physrev.00021.2010 · Cited by 148 · see citing works
Toward an integration of deep learning and neuroscience
Marblestone, A. H., Wayne, G., & Kording, K. P. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00094 · Cited by 119 · see citing works
Nonoscillatory Phase Coding and Synchronization in the Bat Hippocampal Formation
Eliav, T., Geva-Sagiv, M., Yartsev, M. M., Finkelstein, A., Rubin, A., Las, L., & Ulanovsky, N. (2018) · Cell · doi:10.1016/j.cell.2018.09.017 · Cited by 106 · see citing works
Ih from synapses to networks: HCN channel functions and modulation in neurons
Combe, C. L., & Gasparini, S. (2021) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2021.06.002 · Cited by 101 · 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-citation
- Authors
- Giocomo, L. M., Zilli, E. A., Fransén, E., & Hasselmo, M. E.
- Affiliations
- Boston University (US)
- Center for Memory and Brain, Department of Psychology, Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, USA.
- Corresponding author
- Giocomo, Lisa M.
- Hasselmo, Michael E.
- Venue
- Science
- Published
- 2007-03-23
- Volume
- 315
- Issue
- 5819
- Pages
- 1719-1722
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC2950607
- OpenAlex
- W2128189925
- Cited by
- 377
- References
- 26
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 16 · 2023: 4 · 2022: 14 · 2021: 12 · 2020: 14 · 2019: 13 · 2018: 17 · 2017: 16 · 2016: 22 · 2015: 12 · 2014: 27 · 2013: 45 · 2012: 40
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (MH-71702, MH 60013, R01MH060013, R01MH061492, P50MH071702)
- National Institute on Drug Abuse (DA 16454, R01DA016454)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- grid cells, entorhinal cortex, subthreshold oscillations, membrane potential oscillations, dorsal-ventral axis, spatial coding
- MeSH terms
- Algorithms, Animals, Computer Simulation, Dendrites, Electric Stimulation, Female, Male, Mathematics, Membrane Potentials, Models, Neurological, Movement, Neurons, Periodicity, Space Perception, Time Factors, Patch-Clamp Techniques, Entorhinal Cortex, Rats, Long-Evans, Rats, In Vitro Techniques
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