Engineering a memory with LTD and LTP
Open accessAbstract
It has been proposed that memories are encoded by modification of synaptic strengths through cellular mechanisms such as long-term potentiation (LTP) and long-term depression (LTD). However, the causal link between these synaptic processes and memory has been difficult to demonstrate. Here we show that fear conditioning, a type of associative memory, can be inactivated and reactivated by LTD and LTP, respectively. We began by conditioning an animal to associate a foot shock with optogenetic stimulation of auditory inputs targeting the amygdala, a brain region known to be essential for fear conditioning. Subsequent optogenetic delivery of LTD conditioning to the auditory input inactivates memory of the shock. Then subsequent optogenetic delivery of LTP conditioning to the auditory input reactivates memory of the shock. Thus, we have engineered inactivation and reactivation of a memory using LTD and LTP, supporting a causal link between these synaptic processes and memory.
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Fear memories can be inactivated and reactivated via induction of LTP and LTD in amygdalar microcircuits.
“fear memories can be inactivated and reactivated via induction of LTP and LTD in amygdalar microcircuits148.”
From Resolving the neural circuits of anxiety (2015) · cites this paper as [148]
Fear-conditioned memories can be alternately erased and reinstated by long-term depression (LTD) and long-term potentiation (LTP), respectively, of a defined synaptic pathway.
“For example, fear-conditioned memories can be alternately erased and reinstated by long-term depression (LTD) and long-term potentiation (LTP), respectively, of a defined synaptic pathway42.”
From The right time to learn: Mechanisms and optimization of spaced learning (2016) · cites this paper as [42]
Learning is implemented, at least in part, by changes in synaptic strength (synaptic plasticity).
“There is now agreement that learning is implemented, at least in part, by changes in synaptic strength (synaptic plasticity).”
From The right time to learn: Mechanisms and optimization of spaced learning (2016) · cites this paper as [42]
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Cites
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444 · see citing works
Morris, R. G. M., Anderson, E., Lynch, G. S., & Baudry, M. (1986) · Nature · doi:10.1038/319774a0 · Cited by 3,640 · see citing works
The role of the amygdala in fear and anxiety
Davis, M. (1992) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.15.030192.002033 · Cited by 2,357 · 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
Optogenetic stimulation of a hippocampal engram activates fear memory recall
Liu, X., Ramirez, S., Pang, P. T., Puryear, C. B., Govindarajan, A., Deisseroth, K. A., & Tonegawa, S. (2012) · Nature · doi:10.1038/nature11028 · Cited by 1,669 · see citing works
Deficient Hippocampal Long-Term Potentiation in α-Calcium-Calmodulin Kinase II Mutant Mice
Silva, A. J., Stevens, C. F., Tonegawa, S., & Wang, Y. (1992) · Science · doi:10.1126/science.1378648 · Cited by 1,472 · see citing works
Neuronal signalling of fear memory
Maren, S., & Quirk, G. J. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1535 · Cited by 1,428 · see citing works
Impaired Spatial Learning in α-Calcium-Calmodulin Kinase II Mutant Mice
Silva, A. J., Paylor, R. E., Wehner, J. M., & Tonegawa, S. (1992) · Science · doi:10.1126/science.1321493 · Cited by 1,351 · see citing works
Fear conditioning induces associative long-term potentiation in the amygdala
Rogan, M. T., Stäubli, U. V., & LeDoux, J. E. (1997) · Nature · doi:10.1038/37601 · Cited by 1,310 · see citing works
Mechanisms underlying induction of homosynaptic long-term depression in area CA1 of the hippocampus
Mulkey, R. M., & Malenka, R. C. (1992) · Neuron · doi:10.1016/0896-6273(92)90248-c · Cited by 1,113 · see citing works
Pape, H.-C., & Pare, D. (2010) · Physiological Reviews · doi:10.1152/physrev.00037.2009 · Cited by 994 · see citing works
Creating a False Memory in the Hippocampus
Ramirez, S., Liu, X., Lin, P.-A., Suh, J., Pignatelli, M., Redondo, R. L., Ryan, T. J., & Tonegawa, S. (2013) · Science · doi:10.1126/science.1239073 · Cited by 968 · see citing works
Encoding of conditioned fear in central amygdala inhibitory circuits
Ciocchi, S., Herry, C., Grenier, F., Wolff, S. B. E., Letzkus, J. J., Vlachos, I., Ehrlich, I., Sprengel, R., Deisseroth, K., Stadler, M. B., et al. (2010) · Nature · doi:10.1038/nature09559 · Cited by 924 · see citing works
New Vistas on Amygdala Networks in Conditioned Fear
Paré, D., Quirk, G. J., & Ledoux, J. E. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00153.2004 · Cited by 841 · see citing works
ReaChR: a red-shifted variant of channelrhodopsin enables deep transcranial optogenetic excitation
Lin, J. Y., Knutsen, P. M., Muller, A., Kleinfeld, D., & Tsien, R. Y. (2013) · Nature Neuroscience · doi:10.1038/nn.3502 · Cited by 837 · see citing works
Self-citationPostsynaptic receptor trafficking underlying a form of associative learning
Rumpel, S., LeDoux, J., Zador, A., & Malinow, R. (2005) · Science · doi:10.1126/science.1103944 · Cited by 775 · see citing works
Self-citationFear conditioning induces a lasting potentiation of synaptic currents in vitro
McKernan, M. G., & Shinnick-Gallagher, P. (1997) · Nature · doi:10.1038/37605 · Cited by 771 · see citing works
Characterization of Engineered Channelrhodopsin Variants with Improved Properties and Kinetics
Lin, J. Y., Lin, M. Z., Steinbach, P. A., & Tsien, R. Y. (2009) · Biophysical Journal · doi:10.1016/j.bpj.2008.11.034 · Cited by 693 · see citing works
Self-citationThe Neuroscience of Mammalian Associative Learning
Fanselow, M. S., & Poulos, A. M. (2005) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070213 · Cited by 683 · see citing works
Synaptic potentiation onto habenula neurons in the learned helplessness model of depression
Li, B., Piriz, J., Mirrione, M., Chung, C., Proulx, C. D., Schulz, D., Henn, F., & Malinow, R. (2011) · Nature · doi:10.1038/nature09742 · Cited by 634 · see citing works
Self-citationWilensky, A. E., Schafe, G. E., Kristensen, M. P., & LeDoux, J. E. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.4316-06.2006 · Cited by 533 · see citing works
Contributions of Quisqualate and NMDA Receptors to the Induction and Expression of LTP
Müller, D., Joly, M., & LYNCH, G. S. (1988) · Science · doi:10.1126/science.2904701 · Cited by 513 · see citing works
Experience-dependent modification of a central amygdala fear circuit
Li, H., Penzo, M. A., Taniguchi, H., Kopec, C. D., Huang, Z. J., & Li, B. (2013) · Nature Neuroscience · doi:10.1038/nn.3322 · Cited by 497 · cited 1× · see citing works
“Furthermore, the pairing of optical CS with shock likely produces additional modifications (not produced by optical LTP alone) that may be required to produce a CR 23–26 .”
A persistent postsynaptic modification mediates long-term potentiation in the hippocampus
Kauer, J. A., Malenka, R. C., & Nicoll, R. A. (1988) · Neuron · doi:10.1016/0896-6273(88)90148-1 · Cited by 497 · see citing works
Neuronal circuits of fear extinction
Herry, C., Ferraguti, F., Singewald, N., Letzkus, J. J., Ehrlich, I., & Lüthi, A. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07101.x · Cited by 484 · see citing works
(1999) · Cited by 443 · see citing works
Two different lateral amygdala cell populations contribute to the initiation and storage of memory
Repa, J. C., Muller, J., Apergis, J., Desrochers, T. M., Zhou, Y., & LeDoux, J. E. (2001) · Nature Neuroscience · doi:10.1038/89512 · Cited by 440 · see citing works
New life in an old idea: The synaptic plasticity and memory hypothesis revisited
Martin, S. J., & Morris, R. (2002) · Hippocampus · doi:10.1002/hipo.10107 · Cited by 440 · see citing works
Generation of a synthetic memory trace
Garner, A. R., Rowland, D. C., Hwang, S. Y., Baumgaertel, K., Roth, B. L., Kentros, C., & Mayford, M. (2012) · Science · doi:10.1126/science.1214985 · Cited by 387 · see citing works
Hoffman, D. A., & Johnston, D. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03521.1998 · Cited by 373 · see citing works
Chen, B. T., Bowers, M. S., Martín, M., Hopf, F. W., Guillory, A. M., Carelli, R. M., Chou, J., & Bonci, A. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.024 · Cited by 353 · see citing works
Rogan, M. T., & LeDoux, J. E. (1995) · Neuron · doi:10.1016/0896-6273(95)90070-5 · Cited by 292 · see citing works
A Million Dollar Question: Does LTP = Memory?
Stevens, C. F. (1998) · Neuron · doi:10.1016/s0896-6273(00)80426-2 · Cited by 180 · see citing works
Li, X.-F., Stutzmann, G. E., & LeDoux, J. E. (1996) · Learning & Memory · doi:10.1101/lm.3.2-3.229 · Cited by 146 · see citing works
Sah, P., Westbrook, R. F., & Lüthi, A. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1417.020 · Cited by 138 · see citing works
Stereotaxic Surgery for Excitotoxic Lesion of Specific Brain Areas in the Adult Rat
Kirby, E. D., Jensen, K., Goosens, K. A., et al. (2012) · Journal of Visualized Experiments · doi:10.3791/4079 · Cited by 22 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [33]Rumpel S LeDoux J Zador A Malinow R Postsynaptic receptor trafficking underlying a form of associative learning Science 308 83 88 2005 15746389
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Sorted by citations
From circuits to behaviour in the amygdala
Janak, P. H., & Tye, K. M. (2015) · Nature · doi:10.1038/nature14188 · Cited by 2,011 · see citing works
Neuronal circuits for fear and anxiety
Tovote, P., Fadok, J. P., & Lüthi, A. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3945 · Cited by 1,786 · see citing works
The integrated stress response: From mechanism to disease
Costa-Mattioli, M., & Walter, P. (2020) · Science · doi:10.1126/science.aat5314 · Cited by 1,617 · see citing works
Memory engrams: Recalling the past and imagining the future
Josselyn, S. A., & Tonegawa, S. (2020) · Science · doi:10.1126/science.aaw4325 · Cited by 1,087 · see citing works
Resolving the neural circuits of anxiety
Calhoon, G. G., & Tye, K. M. (2015) · Nature Neuroscience · doi:10.1038/nn.4101 · Cited by 766 · see citing works
Structure, Function, and Pharmacology of Glutamate Receptor Ion Channels
Hansen, K. B., Wollmuth, L. P., Bowie, D., Furukawa, H., Menniti, F. S., Sobolevsky, A. I., Swanson, G. T., Swanger, S. A., Greger, I. H., Nakagawa, T., et al. (2021) · Pharmacological Reviews · doi:10.1124/pharmrev.120.000131 · Cited by 686 · see citing works
Mather, M., Clewett, D., Sakaki, M., & Harley, C. W. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000667 · Cited by 695 · see citing works
Plasticity of Cortical Excitatory-Inhibitory Balance
Froemke, R. C. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034002 · Cited by 458 · see citing works
Izquierdo, I., Furini, C. R. G., & Myskiw, J. C. (2016) · Physiological Reviews · doi:10.1152/physrev.00018.2015 · Cited by 453 · see citing works
η-Secretase processing of APP inhibits neuronal activity in the hippocampus
Willem, M., Tahirovic, S., Busche, M. A., Ovsepian, S. V., Chafai, M., Kootar, S., Hornburg, D., Evans, L. D. B., Moore, S., Daria, A., et al. (2015) · Nature · doi:10.1038/nature14864 · Cited by 398 · see citing works
Hare, B. D., & Duman, R. S. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0685-9 · Cited by 366 · see citing works
Neurobiology of local and intercellular BDNF signaling
Sasi, M., Vignoli, B., Canossa, M., & Blum, R. (2017) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-017-1964-4 · Cited by 324 · see citing works
Episodic sequence memory is supported by a theta-gamma phase code
Heusser, A. C., Poeppel, D., Ezzyat, Y., & Davachi, L. (2016) · Nature Neuroscience · doi:10.1038/nn.4374 · Cited by 290 · see citing works
The right time to learn: Mechanisms and optimization of spaced learning
Smolen, P., Zhang, Y., & Byrne, J. H. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.18 · Cited by 326 · see citing works
Functional and structural underpinnings of neuronal assembly formation in learning
Holtmaat, A., & Caroni, P. (2016) · Nature Neuroscience · doi:10.1038/nn.4418 · Cited by 239 · see citing works
The neurobiological foundation of memory retrieval
Frankland, P. W., Josselyn, S. A., & Köhler, S. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0493-1 · Cited by 228 · see citing works
Circuit Mechanisms of Sensorimotor Learning
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Sleep and synaptic down-selection
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Computational principles of memory
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Pathological circuit function underlying addiction and anxiety disorders
Lüthi, A., & Lüscher, C. (2014) · Nature Neuroscience · doi:10.1038/nn.3849 · Cited by 192 · see citing works
Forgetting as a form of adaptive engram cell plasticity
Ryan, T. J., & Frankland, P. W. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00548-3 · Cited by 182 · see citing works
de Sousa, A. F., Cowansage, K. K., Zutshi, I., Cardozo, L. M., Yoo, E. J., Leutgeb, S., & Mayford, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818432116 · Cited by 138 · see citing works
Inhibitory engrams in perception and memory
Barron, H. C., Vogels, T. P., Behrens, T. E., & Ramaswami, M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701812114 · Cited by 147 · see citing works
Manipulating a “Cocaine Engram” in Mice
Hsiang, H.-L. (., Epp, J. R., van den Oever, M. C., Yan, C., Rashid, A. J., Insel, N., Ye, L., Niibori, Y., Deisseroth, K., Frankland, P. W., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3327-14.2014 · Cited by 131 · see citing works
Leon, J., Moreno, A. J., Garay, B. I., Chalkley, R. J., Burlingame, A. L., Wang, D., & Dubal, D. B. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.07.024 · Cited by 123 · see citing works
Pathway-Selective Adjustment of Prefrontal-Amygdala Transmission during Fear Encoding
Arruda-Carvalho, M., & Clem, R. L. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2664-14.2014 · Cited by 127 · see citing works
Gutierrez-Castellanos, N., Da Silva-Matos, C. M., Zhou, K., Canto, C. B., Renner, M. C., Koene, L. M. C., Ozyildirim, O., Sprengel, R., Kessels, H. W., & De Zeeuw, C. I. (2017) · Neuron · doi:10.1016/j.neuron.2016.11.046 · Cited by 111 · see citing works
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Peyrache, A., & Seibt, J. (2020) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0230 · Cited by 89 · see citing works
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Normann, C., Frase, S., Haug, V., von Wolff, G., Clark, K., Münzer, P., Dorner, A., Scholliers, J., Horn, M., Vo Van, T., et al. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.008 · Cited by 56 · see citing works
Warnet, X. L., Bakke Krog, H., Sevillano‐Quispe, O. G., Poulsen, H., & Kjaergaard, M. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.14842 · Cited by 50 · see citing works
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Burns, A. M., Farinelli-Scharly, M., Hugues-Ascery, S., Sanchez-Mut, J. V., Santoni, G., & Gräff, J. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116797119 · Cited by 49 · see citing works
Memory corticalization triggered by REM sleep: mechanisms of cellular and systems consolidation
Almeida-Filho, D. G., Queiroz, C. M., & Ribeiro, S. (2018) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-018-2886-9 · Cited by 38 · see citing works
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Xie, Y.-C., Yao, Z.-H., Yao, X.-L., Pan, J.-Z., Zhang, S.-F., Zhang, Y., & Hu, J.-C. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-180782 · Cited by 24 · see citing works
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Tye, K. M. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.022 · Cited by 21 · see citing works
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Dong, Y., Xiong, M., Chen, Y., Tao, Y., Li, X., Bhattacharyya, A., & Zhang, S.-C. (2020) · iScience · doi:10.1016/j.isci.2020.100829 · Cited by 19 · see citing works
Amer, T., & Davachi, L. (2022) · doi:10.31234/osf.io/32egy · Cited by 3 · see citing works
Neural circuits for valence updating in social memory
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Fan, F., Joshi, P., Liu, X., Kotturu, S. K., Abiola, M., Liu, Q., & Lou, X. (2025) · doi:10.64898/2025.12.21.695860
- Authors
- Nabavi, S., Fox, R., Proulx, C. D., Lin, J. Y., Tsien, R. Y., & Malinow, R.
- Affiliations
- University of California San Diego (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Malinow, Roberto
- Venue
- Nature
- Published
- 2014-06-01
- Volume
- 511
- Issue
- 7509
- Pages
- 348-352
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4210354
- OpenAlex
- W1982864908
- Cited by
- 980
- References
- 36
- Citations by year
- 2026: 39 · 2025: 68 · 2024: 78 · 2023: 67 · 2022: 79 · 2021: 90 · 2020: 113 · 2019: 80 · 2018: 89 · 2017: 88 · 2016: 86 · 2015: 79 · 2014: 24
- FWCI
- 51.70
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Howard Hughes Medical Institute
- National Institute on Aging (R01AG032132)
- National Institute of Mental Health (R01MH091119, R01MH049159, R37MH049159, MH049159)
- National Institute of Neurological Disorders and Stroke (NS27177, R37NS027177, R01NS027177)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- long-term potentiation, long-term depression, synaptic plasticity, memory formation, fear conditioning, optogenetics, amygdala, memory reactivation, associative memory, auditory input
- MeSH terms
- Amygdala, Animals, Conditioning, Psychological, Electric Stimulation, Electrophysiology, Fear, Male, Memory, Synaptic Transmission, Synapses, Rats, Sprague-Dawley, Long-Term Potentiation, Long-Term Synaptic Depression, Rats, Optogenetics
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