Interactions between inhibitory interneurons and excitatory associational circuitry in determining Spatio-Temporal dynamics of hippocampal dentate granule cells: A Large-Scale computational study
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This paper reports on findings from a million-cell granule cell model of the rat dentate gyrus that was used to explore the contributions of local interneuronal and associational circuits to network-level activity. The model contains experimentally derived morphological parameters for granule cells, which each contain approximately 200 compartments, and biophysical parameters for granule cells, basket cells, and mossy cells that were based both on electrophysiological data and previously published models. Synaptic input to cells in the model consisted of glutamatergic AMPA-like EPSPs and GABAergic-like IPSPs from excitatory and inhibitory neurons, respectively. The main source of input to the model was from layer II entorhinal cortical neurons. Network connectivity was constrained by the topography of the system, and was derived from axonal transport studies, which provided details about the spatial spread of axonal terminal fields, as well as how subregions of the medial and lateral entorhinal cortices project to subregions of the dentate gyrus. Results of this study show that strong feedback inhibition from the basket cell population can cause high-frequency rhythmicity in granule cells, while the strength of feedforward inhibition serves to scale the total amount of granule cell activity. Results furthermore show that the topography of local interneuronal circuits can have just as strong an impact on the development of spatio-temporal clusters in the granule cell population as the perforant path topography does, both sharpening existing clusters and introducing new ones with a greater spatial extent. Finally, results show that the interactions between the inhibitory and associational loops can cause high frequency oscillations that are modulated by a low-frequency oscillatory signal. These results serve to further illustrate the importance of topographical constraints on a global signal processing feature of a neural network, while also illustrating how rich spatio-temporal and oscillatory dynamics can evolve from a relatively small number of interacting local circuits.
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Although PV basket cells appear to be important for theta-generation both in the biological and the model CA1 network, endowing all interneurons with PV basket cell-like properties does not lead to a network configuration conducive to theta oscillations.
“Therefore, although PV basket cells appear to be important for theta-generation both in the biological and the model CA1 network, endowing all interneurons with PV basket cell-like properties does not lead to a network configuration conducive to theta oscillations (Hendrickson et al., 2015).”
From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Hendrickson et al., 2015
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Python for scientific computing
Oliphant, T. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.58 · Cited by 3,303 · cited 1× · see citing works
“7) was used for model specification, data visualization, and data analyses (Oliphant, 2007; Hines et al., 2009).”
MethodSynaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070 · see citing works
Azmitia, E. C., & Segal, M. (1978) · The Journal of Comparative Neurology · doi:10.1002/cne.901790311 · Cited by 1,908 · see citing works
Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model
Wang, X., & Buzsáki, G. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-20-06402.1996 · Cited by 1,571 · see citing works
Moore, R. Y., & Bloom, F. E. (1979) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.02.030179.000553 · Cited by 1,378 · see citing works
Hippocampal synaptic enhancement and information storage within a distributed memory system
McNaughton, B. L., & Morris, R. G. M. (1987) · Trends in Neurosciences · doi:10.1016/0166-2236(87)90011-7 · Cited by 1,304 · see citing works
Carnevale, N. T., & Hines, M. L. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541612 · Cited by 1,199 · see citing works
Being Sensitive to Uncertainty
Arriola, L. M., & Hyman, J. M. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.27 · Cited by 975 · see citing works
Hippocampal conjunctive encoding, storage, and recall: Avoiding a trade‐off
O'Reilly, R. C., & McClelland, J. L. (1994) · Hippocampus · doi:10.1002/hipo.450040605 · Cited by 914 · see citing works
The dentate gyrus: fundamental neuroanatomical organization (dentate gyrus for dummies)
Amaral, D. G., Scharfman, H. E., & Lavenex, P. (2007) · Progress in brain research · doi:10.1016/s0079-6123(07)63001-5 · Cited by 888 · see citing works
Steward, O. (1976) · The Journal of Comparative Neurology · doi:10.1002/cne.901670303 · Cited by 883 · see citing works
Analysis of Physiological Systems
Marmarelis, P. Z., & Marmarelis, V. Z. (1978) · Springer eBooks · doi:10.1007/978-1-4613-3970-0 · Cited by 878 · see citing works
Serotonin neurons of the midbrain raphe: Ascending projections
Moore, R. Y., Halaris, A. E., & Jones, B. E. (1978) · The Journal of Comparative Neurology · doi:10.1002/cne.901800302 · Cited by 803 · see citing works
Sloviter, R. S. (1991) · Hippocampus · doi:10.1002/hipo.450010106 · Cited by 707 · see citing works
Treves, A., & Rolls, E. T. (1992) · Hippocampus · doi:10.1002/hipo.450020209 · Cited by 702 · see citing works
Origin and termination of the hippocampal perforant path in the rat studied by silver impregnation
Hjorth‐Simonsen, A., & Jeune, B. (1972) · The Journal of Comparative Neurology · doi:10.1002/cne.901440206 · Cited by 680 · see citing works
Ribak, C. E., Vaughn, J. E., & Saito, K. (1978) · Brain Research · doi:10.1016/0006-8993(78)90463-8 · Cited by 628 · see citing works
Analysis of gamma rhythms in the rat hippocampus in vitro and in vivo
Traub, R. D., Whittington, M. A., Colling, S. B., Buzsáki, G., & Jefferys, J. G. (1996) · The Journal of Physiology · doi:10.1113/jphysiol.1996.sp021397 · Cited by 607 · see citing works
Do septal neurons pace the hippocampal theta rhythm?
Stewart, M., & Fox, S. E. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90040-h · Cited by 559 · see citing works
Fuchs, E. C., Zivkovic, A. R., Cunningham, M. O., Middleton, S., LeBeau, F. E. N., Bannerman, D. M., Rozov, A., Whittington, M. A., Traub, R. D., Rawlins, J. N. P., et al. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.031 · Cited by 532 · see citing works
Bartos, M., Vida, I., Frotscher, M., Meyer, A. H., Monyer, H., Geiger, J. R. P., & Jónás, P. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.192233099 · Cited by 529 · see citing works
PATHWAY OF POSTSYNAPTIC INHIBITION IN THE HIPPOCAMPUS
Andersen, P. N., Eccles, J. C., & Lyning, Y. (1964) · Journal of Neurophysiology · doi:10.1152/jn.1964.27.4.608 · Cited by 513 · see citing works
Projection of the lateral part of the entorhinal area to the hippocampus and fascia dentata
Hjorth‐Simonsen, A. (1972) · The Journal of Comparative Neurology · doi:10.1002/cne.901460206 · Cited by 491 · see citing works
Korotkova, T., Fuchs, E. C., Ponomarenko, A., von Engelhardt, J., & Monyer, H. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.017 · Cited by 480 · see citing works
Feed-forward inhibition in the hippocampal formation
BUZSAKI, G. (1984) · Progress in Neurobiology · doi:10.1016/0301-0082(84)90023-6 · Cited by 453 · see citing works
Noradrenergic innervation of the adult rat hippocampal formation
Loy, R., Koziell, D. A., Lindsey, J. D., & Moore, R. Y. (1980) · Journal of Comparative Neurology · doi:10.1002/cne.901890406 · Cited by 443 · see citing works
Nonlinear Dynamic Modeling of Physiological Systems
Marmarelis, V. (2004) · Wiley eBooks · doi:10.1002/9780471679370 · Cited by 416 · see citing works
Wulff, P., Ponomarenko, A. A., Bartos, M., Korotkova, T. M., Fuchs, E. C., Bähner, F., Both, M., Tort, A. B. L., Kopell, N. J., Wisden, W., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813176106 · Cited by 400 · see citing works
Hines, M. L. (2009) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.001.2009 · Cited by 396 · see citing works
Sloviter, R. S., & Nilaver, G. (1987) · The Journal of Comparative Neurology · doi:10.1002/cne.902560105 · Cited by 392 · see citing works
The perforant path: projections from the entorhinal cortex to the dentate gyrus
Witter, M. P. (2007) · Progress in brain research · doi:10.1016/s0079-6123(07)63003-9 · Cited by 358 · see citing works
Rapid Signaling at Inhibitory Synapses in a Dentate Gyrus Interneuron Network
Bartos, M., Vida, I., Frotscher, M., Geiger, J. R. P., & Jonas, P. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-08-02687.2001 · Cited by 325 · see citing works
Ribak, C. E., & Seress, L. (1983) · Journal of Neurocytology · doi:10.1007/bf01181525 · Cited by 314 · see citing works
Gottlieb, D. I., & Cowan, W. M. (1973) · The Journal of Comparative Neurology · doi:10.1002/cne.901490402 · Cited by 313 · see citing works
The development, ultrastructure and synaptic connections of the mossy cells of the dentate gyrus
Ribak, C. E., Seress, L., & Amaral, D. G. (1985) · Journal of Neurocytology · doi:10.1007/bf01170832 · Cited by 311 · see citing works
Parvalbumin-positive CA1 interneurons are required for spatial working but not for reference memory
Murray, A., Sauer, J., Riedel, G., McClure, C., Ansel-Bollepalli, L., Cheyne, L., Bartos, M., Wisden, W., & Wulff, P. (2011) · Nature Neuroscience · doi:10.1038/nn.2751 · Cited by 276 · see citing works
Entorhinal cortex of the rat: Organization of intrinsic connections
Dolorfo, C. L., & Amaral, D. G. (1998) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19980817)398:1 · Cited by 268 · see citing works
Santhakumar, V., Aradi, I., & Soltesz, I. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00777.2004 · Cited by 262 · see citing works
Swanson, L., Sawchenko, P. E., & Cowan, W. (1981) · Journal of Neuroscience · doi:10.1523/jneurosci.01-05-00548.1981 · Cited by 249 · see citing works
Structure of the granular layer of the rat dentate gyrus. A light microscopic and Golgi study.
Seress, L., & Pokorny, J. (1981) · PubMed · Cited by 246 · see citing works
Sloviter, R. S., Zappone, C. A., Harvey, B. D., Bumanglag, A. V., Bender, R. A., & Frotscher, M. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10630 · Cited by 241 · see citing works
Scharfman, H. E., Kunkel, D. D., & Schwartzkroin, P. A. (1990) · Neuroscience · doi:10.1016/0306-4522(90)90100-i · Cited by 239 · see citing works
Zimmer, J. (1971) · The Journal of Comparative Neurology · doi:10.1002/cne.901420402 · Cited by 235 · see citing works
Dyhrfjeld-Johnsen, J., Santhakumar, V., Morgan, R. J., Huerta, R., Tsimring, L., & Soltesz, I. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00950.2006 · Cited by 230 · see citing works
Pernía‐Andrade, A. J., & Jónás, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.046 · Cited by 217 · see citing works
Tamamaki, N., & Nojyo, Y. (1993) · Hippocampus · doi:10.1002/hipo.450030408 · Cited by 216 · see citing works
Scharfman, H. E. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.74.1.179 · Cited by 215 · see citing works
Santhakumar, V., Bender, R. A., Frotscher, M., Ross, S. T., Hollrigel, G. S., Toth, Z., & Soltész, I. (2000) · The Journal of Physiology · doi:10.1111/j.1469-7793.2000.00117.x · Cited by 206 · see citing works
Parallel network simulations with NEURON
Migliore, M., Cannia, C., Lytton, W. W., Markram, H., & Hines, M. L. (2006) · Journal of Computational Neuroscience · doi:10.1007/s10827-006-7949-5 · Cited by 196 · see citing works
Cobb, S. R., Halasy, K., Vida, I., Nyı́ri, G., Tamás, G., Buhl, E. H., & Somogyi, P. (1997) · Neuroscience · doi:10.1016/s0306-4522(97)00055-9 · Cited by 188 · see citing works
Scharfman, H. E. (1991) · Journal of Neuroscience · doi:10.1523/jneurosci.11-06-01660.1991 · Cited by 171 · see citing works
Léránth, C., Malcolm, A. J., & Frotscher, M. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902950110 · Cited by 170 · see citing works
Mossy cell axonal projections to the dentate gyrus molecular layer in the rat hippocampal slice
Buckmaster, P. S., Strowbridge, B. W., Kunkel, D. D., Schmiege, D. L., & Schwartzkroin, P. A. (1992) · Hippocampus · doi:10.1002/hipo.450020403 · Cited by 168 · see citing works
Mossy cells of the rat fascia dentata are glutamate‐immunoreactive
Soriano, E., & Frotscher, M. (1994) · Hippocampus · doi:10.1002/hipo.450040108 · Cited by 160 · see citing works
Ascoli, G. A., & Krichmar, J. L. (2000) · Neurocomputing · doi:10.1016/s0925-2312(00)00272-1 · Cited by 143 · see citing works
Berger, T. W., Semple‐Rowland, S. L., & Basset, J. L. (1981) · Brain Research · doi:10.1016/0006-8993(81)90512-6 · Cited by 129 · see citing works
Scharfman, H. E. (1994) · Journal of Neurophysiology · doi:10.1152/jn.1994.72.5.2167 · Cited by 128 · see citing works
Activity of dentate granule cells during learning: Differentiation of perforant path input
Deadwyler, S. A., West, M. O., & LYNCH, G. S. (1979) · Brain Research · doi:10.1016/0006-8993(79)90371-8 · Cited by 123 · see citing works
Commissural inhibition and facilitation of granule cell discharge in fascia dentata
Douglas, R. M., McNaughton, B. L., & Goddard, G. V. (1983) · The Journal of Comparative Neurology · doi:10.1002/cne.902190304 · Cited by 113 · see citing works
Synchronization of Bursting Action Potential Discharge in a Model Network of Neocortical Neurons
Bush, P. C., & Douglas, R. J. (1991) · Neural Computation · doi:10.1162/neco.1991.3.1.19 · Cited by 113 · see citing works
Gamrani, H., Onteniente, B., Séguéla, P., Geffard, M., & Calas, A. (1986) · Brain Research · doi:10.1016/0006-8993(86)90984-4 · Cited by 111 · see citing works
Robust gamma oscillations in networks of inhibitory hippocampal interneurons
Tiesinga, P. H. E., & José, J. V. (2000) · Network Computation in Neural Systems · doi:10.1088/0954-898x_11_1_301 · Cited by 106 · see citing works
Synaptic extensions from the mossy fibers of the fascia dentata
Amaral, D. G. (1979) · Anatomy and Embryology · doi:10.1007/bf00317638 · Cited by 100 · see citing works
Resonant Synchronization in Heterogeneous Networks of Inhibitory Neurons
Maex, R., & Schutter, E. D. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-33-10503.2003 · Cited by 99 · see citing works
Zipp, F., Nitsch, R., Soriano, E., & Frotscher, M. (1989) · Brain Research · doi:10.1016/0006-8993(89)91231-6 · Cited by 98 · see citing works
Traub, R. D., Miles, R., Wong, R. K. S., Schulman, L. S., & Schneiderman, J. H. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.58.4.752 · Cited by 93 · see citing works
Fine structure and synaptic connections of identified neurons in the rat fascia dentata
L�bbers, K., & Frotscher, M. (1987) · Anatomy and Embryology · doi:10.1007/bf00325285 · Cited by 91 · see citing works
Yeckel, M., & Berger, T. W. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-01-00438.1998 · Cited by 81 · see citing works
GABAergic synaptic boutons in the granule cell layer of rat dentate gyrus
Kosaka, T., Hama, K., & Wu, J. (1984) · Brain Research · doi:10.1016/0006-8993(84)91242-3 · Cited by 79 · see citing works
Ultrastructural localization of somatostatin‐like immunoreactivity in the rat dentate gyrus
Milner, T. A., & Bacon, C. E. (1989) · The Journal of Comparative Neurology · doi:10.1002/cne.902900409 · Cited by 75 · see citing works
The behavior of mossy cells of the rat dentate gyrus during theta oscillationsin vivo
Soltész, I., Bourassa, J., & Deschênes, M. (1993) · Neuroscience · doi:10.1016/0306-4522(93)90005-z · Cited by 74 · see citing works
Interneuron control of hippocampal oscillations
Allen, K., & Monyer, H. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.08.016 · Cited by 64 · see citing works
General methodology for nonlinear modeling of neural systems with Poisson point-process inputs
Marmarelis, V. Z., & Berger, T. W. (2005) · Mathematical Biosciences · doi:10.1016/j.mbs.2005.04.002 · Cited by 59 · see citing works
Juxtacellular recording and morphological identification of single neurons in freely moving rats
Tang, Q., Brecht, M., & Burgalossi, A. (2014) · Nature Protocols · doi:10.1038/nprot.2014.161 · Cited by 45 · see citing works
Ultrastructure and synaptic connectivity of cell types in the adult rat dentate gyrus
Ribak, C. E., & Shapiro, L. A. (2007) · Progress in brain research · doi:10.1016/s0079-6123(07)63009-x · Cited by 38 · see citing works
Deadwyler, S. A., Gribkoff, V. K., Cotman, C. W., & LYNCH, G. S. (1976) · Brain Research Bulletin · doi:10.1016/0361-9230(76)90043-5 · Cited by 38 · see citing works
Hendrickson, P. J., Yu, G. J., Song, D. B., & Berger, T. W. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2445771 · Cited by 36 · see citing works
Robust gamma oscillations in networks of inhibitory hippocampal interneurons
Tiesinga, P. H. E., & José, J. V. (2000) · Network Computation in Neural Systems · doi:10.1088/0954-898x/11/1/301 · Cited by 36 · see citing works
Caputi, A., Fuchs, E. C., Allen, K. L., Magueresse, C. L., & Monyer, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037318 · Cited by 34 · see citing works
A systems theoretic approach to the study of CNS function
Sclabassi, R. J., Krieger, D., & Berger, T. W. (1988) · Annals of Biomedical Engineering · doi:10.1007/bf02367378 · Cited by 24 · see citing works
Wrathall, J. R. (1986) · Brain Research · doi:10.1016/0006-8993(86)90983-2 · Cited by 12 · see citing works
Berger, T. W., Semple‐Rowland, S. L., & Bassett, J. L. (1981) · Brain Research · doi:10.1016/0006-8993(81)91138-0 · Cited by 12 · see citing works
Giedd (1996) · doi:10.1002/(sici)1096-9861(19960304)366:2
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Bezaire, M. J., Raikov, I., Burk, K., Vyas, D., & Soltesz, I. (2016) · eLife · doi:10.7554/elife.18566 · Cited by 198 · see citing works
The dentate gyrus in depression
Umschweif, G., Greengard, P., & Sagi, Y. (2019) · European Journal of Neuroscience · doi:10.1111/ejn.14640 · Cited by 38 · see citing works
Quantitative properties of a feedback circuit predict frequency-dependent pattern separation
Braganza, O., Müller‐Komorowska, D., Kelly, T., & Beck, H. (2020) · eLife · doi:10.7554/elife.53148 · Cited by 26 · see citing works
Loizos, K., RamRakhyani, A. K., Anderson, J., Marc, R. E., & Lazzi, G. (2016) · Physics in Medicine and Biology · doi:10.1088/0031-9155/61/12/4491 · Cited by 22 · see citing works
Mircheva, Y., Peralta, M. R., & Tóth, K. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2976-18.2019 · Cited by 15 · see citing works
Memory and forgetting processes with the firing neuron model
Świetlik, D., Białowas, J., Kusiak, A., & Cichońska, D. (2018) · Folia Morphologica · doi:10.5603/fm.a2018.0043 · Cited by 14 · see citing works
Yu, G. J., Bouteiller, J. C., Song, D. B., & Berger, T. W. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2894410 · Cited by 10 · see citing works
Effect of adult hippocampal neurogenesis on pattern separation and its applications
Wang, Z., Yang, K., & Sun, X. (2024) · Cognitive Neurodynamics · doi:10.1007/s11571-024-10110-3 · Cited by 9 · see citing works
Yu, G. J., Bouteiller, J. C., & Berger, T. W. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.588881 · Cited by 8 · see citing works
Singh, S., Becker, S., Trappenberg, T. P., & Nunes, A. (2023) · Hippocampus · doi:10.1002/hipo.23585 · Cited by 6 · see citing works
Yu, G. J., Bouteiller, J. C., Song, D. B., & Berger, T. W. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513576 · Cited by 5 · see citing works
A Computational Model of the Cholinergic Modulation of CA1 Pyramidal Cell Activity
Mergenthal, A. R., Bouteiller, J. C., Yu, G. J., & Berger, T. W. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00075 · Cited by 4 · see citing works
Yu, G. J., Hendrickson, P. J., Song, D. B., & Berger, T. W. (2018) · Springer series in computational neuroscience · doi:10.1007/978-3-319-99103-0_12 · Cited by 3 · see citing works
Computational Perspectives on Adult Neurogenesis
Carlson, K. D., Rothganger, F., & Aimone, J. B. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803784-3.00020-2 · Cited by 1 · see citing works
A spiking network model of the cerebellum for predicting movements with diverse complex spikes
Mitsuhashi, T., Kuniyoshi, Y., Ikezoe, K., Kitamura, K., & Yamazaki, T. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.107962 · Cited by 1 · see citing works
Yu, G. J., Feng, Z., & Berger, T. W. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8856799 · Cited by 1 · see citing works
A bi-directional communication paradigm between parallel NEURON and an external non-neuron process
Hendrickson, P. J., Bingham, C. S., Song, D. B., & Berger, T. W. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7590973
Sloviter, R. S. (2024) · Oxford University Press eBooks · doi:10.1093/med/9780197549469.003.0024 · Cited by 1 · see citing works
- Authors
- Hendrickson, P. J., Yu, G. J., Song, D., & Berger, T. W.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Hendrickson, Phillip J.
- Venue
- Frontiers in Systems Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2015-11-17
- Volume
- 9
- Pages
- 155-155
- ISSN
- 1662-5137 (ISSN-L)
- PMC
- PMC4647071
- OpenAlex
- W2215357565
- Cited by
- 18
- References
- 83
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 1 · 2016: 3
- FWCI
- 1.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Systems Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (EB001978)
- Office of Naval Research (N00014-13-1-0211, N00014)
- National Institute of General Medical Sciences (U01GM104604)
- National Institute of Biomedical Imaging and Bioengineering (EB-001978, P41EB001978)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- dentate gyrus, granule cells, basket cells, mossy cells, entorhinal cortex, perforant path, product inhibition, feedforward inhibition, spatiotemporal dynamics, oscillations, topographic connectivity, axonal transport, computational neuron model, hippocampus
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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 ›
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