Synaptic enhancement in fascia dentata: Cooperativity among coactive afferents
Abstract
Evidence is presented that long-lasting enhancement of perforant path synapses following high-frequency activity is a cooperative process requiring coactivity of a considerable number of fibers. This was demonstrated in two ways: (1) A threshold stimulus intensity during high-frequency stimulation was required before any enhancement was observed. This threshold was considerably above the stimulus threshold for observing a minimal synaptic response in the fascia dentata. Above the enhancement threshold, the amount of enhancement increased as the intensity of high-frequency stimulation increased. (2) Concurrent high-frequency activation of fibres of the medial and lateral perforant path produced enhancement at intensities where identical but independent stimulation of the two pathways either failed or was less effective. Discharge of the granule cells during the high-frequency stimulation was independently manipulated and found not to be physically coupled to the enhancement generating mechanism.
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LTP has cooperativity.
“Another property of LTP is cooperativity (39).”
From Synaptic memory and CaMKII (2023) · cites this paper as [39]
Tetanizing just a single or a few axons fails to express LTP on a given postsynaptic cell, no matter the frequency of stimulation.
“If one tetanizes just a single or a few axons, the activated synapse(s) on a given postsynaptic cell fails to express LTP, no matter the frequency of stimulation.”
From Synaptic memory and CaMKII (2023) · cites this paper as [39]
LTP is induced when stimulus strength is increased so that many more axons are activated.
“However, LTP is induced when the stimulus strength is increased so that many more axons are activated.”
From Synaptic memory and CaMKII (2023) · cites this paper as [39]
Cites
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825 · see citing works
Simple memory: a theory for archicortex
Marr, D. (1971) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1971.0078 · Cited by 2,771 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.419 · Cited by 5,256 · see citing works
Self-citationReactivation of hippocampal ensemble memories during sleep
Wilson, M. A., & McNaughton, B. L. (1994) · Science · doi:10.1126/science.8036517 · Cited by 3,118 · see citing works
Self-citationDynamics of the Hippocampal Ensemble Code for Space
Wilson, M. A., & McNaughton, B. L. (1993) · Science · doi:10.1126/science.8351520 · Cited by 2,350 · see citing works
Self-citationMemory deficits associated with senescence: A neurophysiological and behavioral study in the rat.
Barnes, C. A. (1979) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0077579 · Cited by 2,088 · see citing works
Learning induces long-term potentiation in the hippocampus
Whitlock, J. R., Heynen, A. J., Shuler, M. G., & Bear, M. F. (2006) · Science · doi:10.1126/science.1128134 · Cited by 1,913 · see citing works
Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning
Buzsáki, G. (2015) · Hippocampus · doi:10.1002/hipo.22488 · Cited by 1,759 · see citing works
Two-stage model of memory trace formation: A role for “noisy” brain states
Buzsáki, G. (1989) · Neuroscience · doi:10.1016/0306-4522(89)90423-5 · Cited by 1,709 · see citing works
Hippocampal long-term potentiation is impaired in mice lacking brain-derived neurotrophic factor.
Korte, M., Carroll, P., Wolf, E., Brem, G., Thoenen, H., & Bonhoeffer, T. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.19.8856 · Cited by 1,426 · 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
Self-citationThe hippocampus—what does it do?
Eichenbaum, H., Otto, T., & Cohen, N. J. (1992) · Behavioral and Neural Biology · doi:10.1016/0163-1047(92)90724-i · Cited by 867 · see citing works
Kudrimoti, H. S., Barnes, C. A., & McNaughton, B. L. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-10-04090.1999 · Cited by 753 · see citing works
Self-citationSynaptic plasticity in the lateral amygdala: a cellular hypothesis of fear conditioning
Blair, H. T., Schafe, G. E., Bauer, E. P., Rodrigues, S. M., & LeDoux, J. E. (2001) · Learning & Memory · doi:10.1101/lm.30901 · Cited by 610 · see citing works
Associations across time: The hippocampus as a temporary memory store
Rawlins, J. N. P. (1985) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00001291 · Cited by 561 · see citing works
Bear, M., Kleinschmidt, A., Gu, Q., & Singer, W. (1990) · The Journal of Neuroscience · doi:10.1523/jneurosci.10-03-00909.1990 · Cited by 488 · see citing works
Memristor-based neural networks
Thomas, A. (2013) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/46/9/093001 · Cited by 471 · 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
Neural and cellular mechanisms of fear and extinction memory formation
Orsini, C. A., & Maren, S. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.12.014 · Cited by 429 · see citing works
The BCM theory of synapse modification at 30: interaction of theory with experiment
Cooper, L. N., & Bear, M. F. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3353 · Cited by 395 · see citing works
McNaughton, B. L. (1982) · The Journal of Physiology · doi:10.1113/jphysiol.1982.sp014110 · Cited by 332 · see citing works
Self-citationPettit, D. L., Perlman, S., & Malinow, R. (1994) · Science · doi:10.1126/science.7997883 · Cited by 329 · see citing works
Network Oscillations: Emerging Computational Principles
Sejnowski, T. J., & Paulsen, O. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3737-05d.2006 · Cited by 284 · see citing works
Cholinergic stimulation enhances long-term potentiation in the CA1 region of rat hippocampus
Blitzer, R. D., Gil, O., & Landau, E. M. (1990) · Neuroscience Letters · doi:10.1016/0304-3940(90)90835-w · Cited by 192 · see citing works
Molecular Mechanisms of Early and Late LTP
Baltaci, S. B., Mogulkoc, R., & Baltaci, A. K. (2019) · Neurochemical Research · doi:10.1007/s11064-018-2695-4 · Cited by 152 · see citing works
Nicoll, R. A., & Schulman, H. (2023) · Physiological Reviews · doi:10.1152/physrev.00034.2022 · Cited by 126 · see citing works
“Another property of LTP is cooperativity (39).”
Exercising our brains: how physical activity impacts synaptic plasticity in the dentate gyrus.
Christie, B. R., Eadie, B. D., Kannangara, T. S., Robillard, J. M., Shin, J., & Titterness, A. K. (2008) · NeuroMolecular Medicine · doi:10.1007/s12017-008-8033-2 · Cited by 99 · see citing works
Manipulating Hippocampal Place Cell Activity by Single-Cell Stimulation in Freely Moving Mice
Diamantaki, M., Coletta, S., Nasr, K., Zeraati, R., Laturnus, S., Berens, P., Preston-Ferrer, P., & Burgalossi, A. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.031 · Cited by 85 · see citing works
Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors
Graves, A. R., Roth, R. H., Tan, H. L., Zhu, Q., Bygrave, A. M., Lopez-Ortega, E., Hong, I., Spiegel, A. C., Johnson, R. C., Vogelstein, J. T., et al. (2021) · eLife · doi:10.7554/elife.66809 · Cited by 84 · see citing works
Levy, W. B., Desmond, N. L., & Zhang, D. X. (1998) · Learning & Memory · doi:10.1101/lm.4.6.510 · Cited by 43 · see citing works
Hippocampal synaptic plasticity and NMDA receptors: a role in information storage?
MORRIS, R. G. M., DAVIS, S., & BUTCHER, S. P. (1991) · Behavioural and Neural Aspects of Learning and Memory · doi:10.1093/acprof:oso/9780198521983.003.0011 · Cited by 15 · see citing works
- Authors
- McNaughton, B. L., Douglas, R. M., & Goddard, G. V.
- Affiliations
- Dalhousie University (CA)
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 1978-11
- Volume
- 157
- Issue
- 2
- Pages
- 277-293
- ISSN
- 0006-8993 (ISSN-L)
- OpenAlex
- W1983923341
- Cited by
- 647
- References
- 2
- Citations by year
- 2025: 8 · 2024: 7 · 2023: 9 · 2022: 5 · 2021: 7 · 2020: 6 · 2019: 6 · 2018: 13 · 2017: 12 · 2016: 7 · 2015: 9 · 2014: 9 · 2013: 11 · 2012: 11
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- synaptic potentiation, perforant path, dentate gyrus, high-frequency stimulation, synaptic plasticity, granule cells, medial perforant path, lateral perforant path, hippocampus
- MeSH terms
- Afferent Pathways, Animals, Differential Threshold, Electric Stimulation, Electrophysiology, Evoked Potentials, Hippocampus, Functional Laterality, Male, Nerve Fibers, Synapses, Wakefulness, Rats
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