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Mechanism of Graded Persistent Cellular Activity of Entorhinal Cortex Layer V Neurons
Open accessAbstract
Working memory is an emergent property of neuronal networks, but its cellular basis remains elusive. Recent data show that principal neurons of the entorhinal cortex display persistent firing at graded firing rates that can be shifted up or down in response to brief excitatory or inhibitory stimuli. Here, we present a model of a potential mechanism for graded firing. Our multicompartmental model provides stable plateau firing generated by a nonspecific calcium-sensitive cationic (CAN) current. Sustained firing is insensitive to small variations in Ca2+ concentration in a neutral zone. However, both high and low Ca2+ levels alter firing rates. Specifically, increases in persistent firing rate are triggered only during high levels of calcium, while decreases in rate occur in the presence of low levels of calcium. The model is consistent with detailed experimental observations and provides a mechanism for maintenance of memory-related activity in individual neurons.
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“ACh enhances persistent spiking or plateau potentials within cortical structures, as demonstrated in brain slice preparations of the entorhinal cortex (Klink and Alonso, 1997; Egorov et al., 2002; Fransen et al., 2006; Tahvildari et al., 2007), prefrontal cortex (Haj-Dahmane and Andrade, 1996, 1997, 1998), postsubiculum (Yoshida and Hasselmo, 2009) and perirhinal cortex (Leung et al., 2006).”
From Modes and models of forebrain cholinergic neuromodulation of cognition (2011) · cites this paper as Fransen et al., 2006
In the citing paper
“Persistent spiking appears to result from muscarinic receptor activation of a calcium-sensitive non-specific cation current I(CAN) (Egorov et al., 2002; Shalinsky et al., 2002; Fransen et al., 2006).”
From Modes and models of forebrain cholinergic neuromodulation of cognition (2011) · cites this paper as Fransen et al., 2006
Citations
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
Taube, J., Muller, R., & Ranck, J. (1990) · The Journal of Neuroscience · doi:10.1523/jneurosci.10-02-00420.1990 · Cited by 1,809
Storage of 7 +/- 2 short-term memories in oscillatory subcycles
Lisman, J. E., & Idiart, M. A. P. (1995) · Science · doi:10.1126/science.7878473 · Cited by 1,471
Compte, A. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.9.910 · Cited by 1,143
Amit, D. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.237 · Cited by 1,073
Segev, I., & Bradford, A. (1988) · Cited by 911
Neuronal correlates of parametric working memory in the prefrontal cortex
Romo, R., Brody, C. D., Hernández, A., & Lemus, L. (1999) · Nature · doi:10.1038/20939 · Cited by 822
Graded persistent activity in entorhinal cortex neurons
Egorov, A. V., Hamam, B. N., Fransén, E., Hasselmo, M. E., & Alonso, A. A. (2002) · Nature · doi:10.1038/nature01171 · Cited by 769
Self-citationTrajectory Encoding in the Hippocampus and Entorhinal Cortex
Frank, L. M., Brown, E. N., & Wilson, M. A. (2000) · Neuron · doi:10.1016/s0896-6273(00)00018-0 · Cited by 760
The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural SImulation System
Bower, J. M., & Beeman, D. (1994) · Medical Entomology and Zoology · Cited by 750
Cyclopiazonic Acid is a Specific Inhibitor of the Ca2+-ATPase of Sarcoplasmic Reticulum
Seidler, N. W., Jóna, I., Vegh, M., & Martonosi, A. (1989) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)84646-x · Cited by 746
Traub, R. D., Wong, R. K. S., Miles, R., & Michelson, H. B. (1991) · Journal of Neurophysiology · doi:10.1152/jn.1991.66.2.635 · Cited by 715
A model of the electrophysiological properties of thalamocortical relay neurons
McCormick, D. A., & Huguenard, J. R. (1992) · Journal of Neurophysiology · doi:10.1152/jn.1992.68.4.1384 · Cited by 648
The CaM kinase II hypothesis for the storage of synaptic memory.
Lisman, J. (1994) · Trends in Neurosciences · doi:10.1016/0166-2236(94)90014-0 · Cited by 526
Methods in neuronal modeling: From synapses to networks
Rolls, E. T. (1990) · Biological Psychology · doi:10.1016/0301-0511(90)90081-7 · Cited by 403
Methods in neuronal modeling: From synapses to networks
Koch, C., & Segev, I. (1989) · The MIT Press eBooks · Cited by 340
Stability of the memory of eye position in a recurrent network of conductance-based model neurons
Seung, H. S., Lee, D. D., Reis, B. Y., & Tank, D. W. (2000) · Neuron · doi:10.1016/s0896-6273(00)81155-1 · Cited by 339
Camperi, M., & Wang, X. (1998) · Journal of Computational Neuroscience · doi:10.1023/a:1008837311948 · Cited by 331
Persistent neural activity: prevalence and mechanisms
Major, G., & Tank, D. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.10.017 · Cited by 320
Model for a robust neural integrator
Koulakov, A. A., Raghavachari, S., Kepecs, Á., & Lisman, J. E. (2002) · Nature Neuroscience · doi:10.1038/nn893 · Cited by 315
Brody, C. D., Romo, R., & Kepecs, A. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00050-3 · Cited by 284
Howard, M. W., Fotedar, M. S., Datey, A. V., & Hasselmo, M. E. (2005) · Psychological Review · doi:10.1037/0033-295x.112.1.75 · Cited by 283 · cited 1×
“Howard et al. (2005) showed that integration of head direction input enables the system to obtain high precision in a spatial location estimate and could contribute to trajectory encoding by EC cells (Frank et al., 2000).”
MethodSelf-citationLisman, J. E., & Goldring, M. A. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.14.5320 · Cited by 257
Efficient computation of branched nerve equations
Hines, M. L. (1984) · International Journal of Bio-Medical Computing · doi:10.1016/0020-7101(84)90008-4 · Cited by 255
Medial temporal and prefrontal contributions to working memory tasks with novel and familiar stimuli
Stern, C. E., Sherman, S. J., Kirchhoff, B. A., & Hasselmo, M. E. (2001) · Hippocampus · doi:10.1002/hipo.1048 · Cited by 249
Self-citationHyperexcitable dendrites in motoneurons and their neuromodulatory control during motor behavior
Heckman, C. J., Lee, R. H., & Brownstone, R. M. (2003) · Trends in Neurosciences · doi:10.1016/j.tins.2003.10.002 · Cited by 245
Multiple channels and calcium dynamics
Yamada, W. M., Koch, C., & Adams, P. R. (1989) · Cited by 242
Georges‐François, P. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.3.197 · Cited by 227
Three Ca2+ levels affect plasticity differently: the LTP zone, the LTD zone and no man's land
Lisman, J. E. (2001) · The Journal of Physiology · doi:10.1111/j.1469-7793.2001.0285f.x · Cited by 223
Self-Organizing Neural Integrator Predicts Interval Times through Climbing Activity
Durstewitz, D. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-12-05342.2003 · Cited by 204
A proposed neural network for the integrator of the oculomotor system
Cannon, S., Robinson, D. A., & Shamma, S. (1983) · Biological cybernetics · doi:10.1007/bf00320393 · Cited by 173
Cho, K., Aggleton, J. P., Brown, M. W., & Bashir, Z. I. (2001) · The Journal of Physiology · doi:10.1111/j.1469-7793.2001.0459f.x · Cited by 170
Ionic Mechanisms of Muscarinic Depolarization in Entorhinal Cortex Layer II Neurons
Klink, R., & Alonso, Á. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.4.1829 · Cited by 165
Persistent Neural Activity in Head Direction Cells
Taube, J. S. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg102 · Cited by 164
Temporal integration by calcium dynamics in a model neuron
Loewenstein, Y., & Sompolinsky, H. (2003) · Nature Neuroscience · doi:10.1038/nn1109 · Cited by 153
A recurrent network model of somatosensory parametric working memory in the prefrontal cortex
Miller, P. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg101 · Cited by 144
Fransén, E., Alonso, A. A., & Hasselmo, M. E. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-03-01081.2002 · Cited by 137
Self-citationSchon, K., Atri, A., Hasselmo, M. E., Tricarico, M. D., LoPresti, M. L., & Stern, C. E. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1982-05.2005 · Cited by 132
Self-citationKoene, R. A., Anatoli Gorchetchnikov, A., Cannon, R. C., & Hasselmo, M. E. (2003) · Neural Networks · doi:10.1016/s0893-6080(03)00106-0 · Cited by 89
Self-citationA model of cortical associative memory based on a horizontal network of connected columns
Fransén, E. A., & Lansner, A. (1998) · Network Computation in Neural Systems · doi:10.1088/0954-898x_9_2_006 · Cited by 82
Self-citationA role for prefrontal calcium-sensitive protein phosphatase and kinase activities in working memory
Runyan, J. D., Moore, A. N., & Dash, P. K. (2005) · Learning & Memory · doi:10.1101/lm.89405 · Cited by 68
Shalinsky, M. H., Magistretti, J., Ma, L., & Alonso, A. A. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.3.1197 · Cited by 65
Self-citationGloveli, T., Egorov, A. V., Schmitz, D., Heinemann, U., & Müller, W. S. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00785.x · Cited by 59
Self-citationFuhs, M. C., VanRhoads, S. R., Casale, A. E., McNaughton, B., & Touretzky, D. S. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00132.2005 · Cited by 53
Connors, B. W. (2002) · Nature · doi:10.1038/420133a · Cited by 50
Low spiking rates in a population of mutually exciting pyramidal cells
Fransén, E. A., & Lansner, A. (1995) · Network Computation in Neural Systems · doi:10.1088/0954-898x_6_2_008 · Cited by 45
Self-citationInoue, R., Waniishi, Y., Yamada, K., & Ito, Y. (1994) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.1994.2339 · Cited by 42
Persistent activity and memory in the entorhinal cortex
Frank, L. M., & Brown, E. N. (2003) · Trends in Neurosciences · doi:10.1016/s0166-2236(03)00176-0 · Cited by 34
On the nature of visual-oculomotor connections.
Robinson, D. A. (1972) · PubMed · Cited by 31
Teramae, J.-N., & Fukai, T. (2005) · Journal of Computational Neuroscience · doi:10.1007/s10827-005-5474-6 · Cited by 29
Regulation of cGMP-dependent current in On bipolar cells by calcium/calmodulin-dependent kinase
Walters, R. J., Kramer, R., & Nawy, S. (1998) · Visual Neuroscience · doi:10.1017/s0952523898152057 · Cited by 24
Presubicular Input to the Dendrites of Layer‐V Entorhinal Neurons in the Rat
van Haeften, T., Wouterlood, F. G., & Witter, M. P. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06748.x · Cited by 22
Low spiking rates in a population of mutually exciting pyramidal cells
Fransen, E. J., & Lansner, A. (1995) · Network Computation in Neural Systems · doi:10.1088/0954-898x/6/2/008 · Cited by 11
Integrating over time with dendritic wave-fronts
Wang, S. S. ‐., & Major, G. (2003) · Nature Neuroscience · doi:10.1038/nn0903-906 · Cited by 5
Model for an enzymatic reaction-diffusion system realizing storage of graded information
Okamoto, H., & Ichikawa, K. (1994) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.50.1704 · Cited by 3
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Mongillo, G., Barak, O., & Tsodyks, M. (2008) · Science · doi:10.1126/science.1150769 · Cited by 1,253
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Metadata
- Authors
- Fransén, E., Tahvildari, B., Egorov, A. V., Hasselmo, M. E., & Alonso, A. A.
- Affiliations
- KTH Royal Institute of Technology (SE)
- Montreal Neurological Institute and Hospital (CA)
- Heidelberg University (DE)
- Boston University (US)
- Corresponding author
- Fransén, Erik
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2006-03
- Volume
- 49
- Issue
- 5
- Pages
- 735-746
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2156985666
- Cited by
- 279
- References
- 54
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 11 · 2023: 5 · 2022: 5 · 2021: 16 · 2020: 13 · 2019: 8 · 2018: 14 · 2017: 7 · 2016: 10 · 2015: 10 · 2014: 18 · 2013: 19 · 2012: 16
- FWCI
- 11.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Vetenskapsrådet
- Canadian Institutes of Health Research
- National Institute of Mental Health (MH 60013, MH61492, R01MH061492)
- 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
- entorhinal cortex, layer V neurons, persistent neuronal activity, working memory, multicompartmental neuron models, calcium concentration, memory maintenance
- MeSH terms
- Action Potentials, Animals, Calcium, Dose-Response Relationship, Radiation, Electric Stimulation, Enzyme Inhibitors, Indoles, Models, Neurological, Neurons, Time Factors, Calcium Channels, Potassium Channels, Nonlinear Dynamics, Entorhinal Cortex, Thapsigargin, Calcium Signaling, Rats, In Vitro Techniques
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