The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Neural ensemble dynamics underlying a long-term associative memory
Open accessAbstract
The brain's ability to associate different stimuli is vital for long-term memory, but how neural ensembles encode associative memories is unknown. Here we studied how cell ensembles in the basal and lateral amygdala encode associations between conditioned and unconditioned stimuli (CS and US, respectively). Using a miniature fluorescence microscope, we tracked the Ca 2+ dynamics of ensembles of amygdalar neurons during fear learning and extinction over 6 days in behaving mice. Fear conditioning induced both up- and down-regulation of individual cells' CS-evoked responses. This bi-directional plasticity mainly occurred after conditioning, and reshaped the neural ensemble representation of the CS to become more similar to the US representation. During extinction training with repetitive CS presentations, the CS representation became more distinctive without reverting to its original form. Throughout the experiments, the strength of the ensemble-encoded CS-US association predicted the level of behavioural conditioning in each mouse. These findings support a supervised learning model in which activation of the US representation guides the transformation of the CS representation.
Overview
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
Verification
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?
In the citing paper
“To further explore whether mating or fighting could also induce changes in neuronal activity, we performed a Mahalanobis population vector distance (PVD) analysis (Grewe et al., 2017) and found that the difference in response to female and male cues after the initiation of mating/fighting decreases by 40% from the initial level (Figures S4C–S4F; STAR Methods).”
From Neuronal Representation of Social Information in the Medial Amygdala of Awake Behaving Mice (2017) · cites this paper as Grewe et al., 2017
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ultrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474
A pyramid approach to subpixel registration based on intensity
Thévenaz, P., Ruttimann, U. E., & Unser, M. A. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.650848 · Cited by 3,097
The importance of mixed selectivity in complex cognitive tasks
Rigotti, M., Barak, O., Warden, M. R., Wang, X.-J., Daw, N. D., Miller, E. K., & Fusi, S. (2013) · Nature · doi:10.1038/nature12160 · Cited by 1,639
Neuronal signalling of fear memory
Maren, S., & Quirk, G. J. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1535 · Cited by 1,428
Long-term dynamics of CA1 hippocampal place codes
Ziv, Y., Burns, L. D., Cocker, E. D., Hamel, E. O., Ghosh, K. K., Kitch, L. J., Gamal, A. E., & Schnitzer, M. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3329 · Cited by 1,155
Miniaturized integration of a fluorescence microscope
Ghosh, K. K., Burns, L. D., Cocker, E. D., Nimmerjahn, A., Ziv, Y., Gamal, A. E., & Schnitzer, M. J. (2011) · Nature Methods · doi:10.1038/nmeth.1694 · Cited by 1,130
Switching on and off fear by distinct neuronal circuits
Herry, C., Ciocchi, S., Senn, V., Demmou, L., Müller, C., & Lüthi, A. (2008) · Nature · doi:10.1038/nature07166 · Cited by 950
Self-citationEncoding 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
Self-citationThe primate amygdala represents the positive and negative value of visual stimuli during learning
Paton, J. J., Belova, M. A., Morrison, S. E., & Salzman, C. D. (2006) · Nature · doi:10.1038/nature04490 · Cited by 917
The tempotron: a neuron that learns spike timing–based decisions
Gütig, R., & Sompolinsky, H. (2006) · Nature Neuroscience · doi:10.1038/nn1643 · Cited by 855
Flagged first, then by citations
Research works printed but not linked: 2
- Bishop, C. M. Pattern Recognition and Machine Learning Vol. 1 (Springer, 2007)
- George Paxinos, K. B. J. F. The Mouse Brain in Stereotaxic Coordinates Vol. 2 (2001)
Cited by
Sorted by citations
Items 101–200 of 349
Xu, J., Mathena, R. P., Singh, S., Kim, J., Long, J. J., Li, Q., Junn, S., Blaize, E., & Mintz, C. D. (2018) · Journal of Neurosurgical Anesthesiology · doi:10.1097/ana.0000000000000541 · Cited by 34
Structural and Functional Remodeling of Amygdala GABAergic Synapses in Associative Fear Learning
Kasugai, Y., Vogel, E., Hörtnagl, H., Schönherr, S., Paradiso, E., Hauschild, M., Göbel, G., Milenković, I., Peterschmitt, Y., Tasan, R. O., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.013 · Cited by 33
Bernardi, S., & Salzman, C. D. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902293116 · Cited by 34
“Moreover, neurons in the appetitive system tend to fire more strongly to rewarding USs, and neurons in the aversive system have the opposite response profile (46), a finding confirmed in rodents at the population level (47).”
BackgroundRegional synapse gain and loss accompany memory formation in larval zebrafish
Dempsey, W. P., Du, Z., Nadtochiy, A., Smith, C. D., Czajkowski, K., Andreev, A., Robson, D. N., Li, J., Applebaum, S. S., Truong, T. V., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2107661119 · Cited by 30
“Our pERK results corroborate those of a recent study in which Ca 2 + activity in the mouse amygdala imaged before and after FC showed that the pattern of cellular responses to the CS following learning became similar to responses to the US in naı¨ve mice (69).”
Tinbergen’s challenge for the neuroscience of behavior
Pfaff, D. W., Tabansky, I., & Haubensak, W. E. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1903589116 · Cited by 33
Li, X., Cao, V. Y., Zhang, W., Mastwal, S. S., Liu, Q., Otte, S. L., & Wang, K. H. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.08.016 · Cited by 29
“, 2013), amygdala (Grewe et al., 2017), striatum (Barbera et al.”
Guthman, E. M., Garcia, J. D., Ma, M., Chu, P., Baca, S. M., Smith, K. R., Restrepo, D., & Huntsman, M. M. (2020) · eLife · doi:10.7554/elife.50601 · Cited by 35
Engaging endogenous opioid circuits in pain affective processes
Kimmey, B. A., McCall, N. M., Wooldridge, L. M., Satterthwaite, T. D., & Corder, G. F. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24762 · Cited by 31
“Using miniature microendoscope in vivo Ca2+ imaging approaches, we found that electric foot shocks do in fact activate a US network in the BLA that is distinguishable from appetitive and CR+ representations (Grewe et al., 2017), which is supported by optogenetic manipulations (Gore et al., 2015).”
BackgroundSubcortico-amygdala pathway processes innate and learned threats
Khalil, V., Faress, I., Mermet-Joret, N., Kerwin, P., Yonehara, K., & Nabavi, S. (2023) · eLife · doi:10.7554/elife.85459 · Cited by 28
Silent Synapses in Cocaine-Associated Memory and Beyond
Wright, W. J., & Dong, Y. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1559-21.2021 · Cited by 31
Kelly, T. J., Bonniwell, E. M., Mu, L., Liu, X., Hu, Y., Friedman, V., Yu, H., Su, W., McCorvy, J. D., & Liu, Q.-S. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01744-8 · Cited by 29
Dopamine induces fear extinction by activating the reward-responding amygdala neurons
Zhang, X., Flick, K., Rizzo, M., Pignatelli, M., & Tonegawa, S. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2501331122 · Cited by 31
Hippocampal place cell remapping occurs with memory storage of aversive experiences
Blair, G. J., Guo, C., Wang, S., Fanselow, M. S., Golshani, P., Aharoni, D. B., & Blair, H. T. (2023) · eLife · doi:10.7554/elife.80661 · Cited by 25
Yu, W., Caira, C. M., del R. Rivera Sanchez, N., Moseley, G. A., & Kash, T. L. (2021) · Scientific Reports · doi:10.1038/s41598-021-91672-8 · Cited by 25
Disynaptic specificity of serial information flow for conditioned fear
Massi, L., Hagihara, K. M., Courtin, J., Hinz, J., Müller, C. R., Fustiñana, M. S., Xu, C., Karalis, N., & Lüthi, A. (2023) · Science Advances · doi:10.1126/sciadv.abq1637 · Cited by 25
“For Ca 2+ imaging using the miniature microscope (nVista HD, In-scopix), mice were prepared as previously described ( 22 , 23 ).”
MethodHumphries, M. D. (2017) · Network Neuroscience · doi:10.1162/netn_a_00020 · Cited by 27
The amygdala instructs insular feedback for affective learning
Kargl, D., Kaczanowska, J., Ulonska, S., Groessl, F., Piszczek, Ł., Lazović, J., Buehler, K., & Haubensak, W. E. (2020) · eLife · doi:10.7554/elife.60336 · Cited by 28
Time-Dependent Recruitment of Prelimbic Prefrontal Circuits for Retrieval of Fear Memory
Quiñones-Laracuente, K., Vega-Medina, A., & Quirk, G. J. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.665116 · Cited by 22
Fast-slow dynamics in a memristive ion channel-based bionic circuit
Ding, X., Feng, C., Wang, N., Liu, A., & Xu, Q. (2024) · Cognitive Neurodynamics · doi:10.1007/s11571-024-10168-z · Cited by 24
“The neuronal dynamics can influence the brain’s functionalities, i.e., associate memory and cognitive behavior (Grewe et al. 2017; Wang et al. 2023; Shine et al. 2019; Andalman et al. 2019).”
Cohen, Y., Schneidman, E., & Paz, R. (2021) · Neuron · doi:10.1016/j.neuron.2020.12.027 · Cited by 27
Topographic representation of current and future threats in the mouse nociceptive amygdala
Bowen, A. J., Huang, Y. W., Chen, J., Pauli, J. L., Campos, C., & Palmiter, R. D. (2023) · Nature Communications · doi:10.1038/s41467-023-35826-4 · Cited by 26
A striatal circuit balances learned fear in the presence and absence of sensory cues
Kintscher, M., Kochubey, O., & Schneggenburger, R. (2023) · eLife · doi:10.7554/elife.75703 · Cited by 23
“Interestingly, the number of tone- responsive D1R+ neurons, but not of Adora+ neurons, increased during auditorycued fear learning, not dissimilar to the acquisition of tone responsiveness of amygdalar neurons (Quirk et al., 1995; Amano et al., 2011; Grewe et al., 2017).”
InfluentialAcute Food Deprivation Rapidly Modifies Valence-Coding Microcircuits in the AmygdalaPreprint
Calhoon, G. G., Sutton, A. K., Chang, C.-J., Libster, A. M., Glober, G. F., Lévêque, C. L., Murphy, G., Namburi, P., Leppla, C. A., Siciliano, C. A., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/285189 · Cited by 26
“There have been notable recent efforts to image amygdala neurons over prolonged periods using single-photon methods (Douglass et al., 2017; Grewe et al., 2017; Li et al., 2017; Yu et al., 2017).”
BackgroundSearching basic units in memory traces: associative memory cells
Wang, J. (2019) · F1000Research · doi:10.12688/f1000research.18771.1 · Cited by 24
A systems-neuroscience model of phasic dopamine.
Mollick, J., Hazy, T. E., Krueger, K. A., Nair, A., Mackie, P., Herd, S. A., & O’Reilly, R. C. (2020) · Psychological Review · doi:10.1037/rev0000199 · Cited by 23
Madur, L., Ineichen, C., Bergamini, G., Greter, A., Poggi, G., Cuomo-Haymour, N., Sigrist, H., Sych, Y., Paterna, J., Bornemann, K. D., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-04811-4 · Cited by 24
Tzovara, A., Meyer, S. S., Bonaiuto, J. J., Abivardi, A., Dolan, R. J., Barnes, G. R., & Bach, D. R. (2019) · Human Brain Mapping · doi:10.1002/hbm.24689 · Cited by 25
“Patterns of evoked hemodynamic responses have been reported to differ between CS+ and CS− (Bach, Weiskopf, & Dolan, 2011; Staib & Bach, 2018; Visser, Scholte, Beemsterboer, & Kindt, 2013), in line with rodent optical imaging findings (Grewe et al., 2017).”
Photoacoustic tomography: Breathtaking whole-body imaging
Liba, O., & de la Zerda, A. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0075 · Cited by 23
GABAergic microcircuitry of fear memory encoding
Cummings, K. A., Lacagnina, A. F., & Clem, R. L. (2021) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2021.107504 · Cited by 23
“During auditory CS-US pairing, CS-evoked ensemble activity is transformed, becoming more similar but not identical to the US representation (Grewe et al. 2017).”
BackgroundWu, R., Cui, S., & Wang, J. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107246 · Cited by 21
Population-level coding of avoidance learning in medial prefrontal cortex
Ehret, B., Boehringer, R., Amadei, E. A., Cervera, M. R., Henning, C., Galgali, A. R., Mante, V., & Grewe, B. F. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01704-5 · Cited by 22
“No statistical method was used to predetermine sample size, but our https://doi.org/10.1038/s41593-024-01704-5 sample sizes are similar to those reported in previous publications 8,41 .”
InfluentialDistributed coding in auditory thalamus and basolateral amygdala upon associative fear learning
Gründemann, J. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.11.014 · Cited by 22
“An enhanced recruitment of MGB neurons to this ‘population trace’ of within session learning and a broad transmission of this signal to the amygdala could be necessary to cross a detection threshold to drive BLA population plasticity [10,13].”
InfluentialInvestigating the transition from recent to remote memory using advanced tools
Doron, A., & Goshen, I. (2017) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.09.005 · Cited by 19
Embedded ensemble encoding hypothesis: The role of the “Prepared” cell
Antic, S. D., Hines, M. L., & Lytton, W. W. (2018) · Journal of Neuroscience Research · doi:10.1002/jnr.24240 · Cited by 21
“In this section, we argue that the theory of neural ensembles and the “embedded ensemble encoding” hypothesis are both critically dependent on electrical signaling (Grewe et al., 2017; Pinotsis, Brincat, & Miller, 2017).”
BackgroundPrazosin during fear conditioning facilitates subsequent extinction in male C57Bl/6N mice
Lucas, E. K., Wu, W., Roman-Ortiz, C., & Clem, R. L. (2018) · Psychopharmacology · doi:10.1007/s00213-018-5001-x · Cited by 19
Learning rules for aversive associative memory formation
Ozawa, T., & Johansen, J. P. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.02.010 · Cited by 25
Astrocytes enable amygdala neural representations supporting memory
Bukalo, O., O’Sullivan, R., Tanisumi, Y., Mendez, A., Weinholtz, C. A., Zimmerman, S., Offenberg, V., Carpenter, O., Bhagwat, H., Mosley, S., et al. (2026) · Nature · doi:10.1038/s41586-025-10068-0 · Cited by 18
Arieli, E., Younis, N., & Moran, A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1599-21.2021 · Cited by 21
Interaction between reconsolidation and extinction of fear memory
Kida, S. (2023) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2023.02.009 · Cited by 18
“Interestingly, cell ensembles responding to the CS in the basolateral regions of the amygdala are transformed after fear conditioning as if they were responding to a US and do not return to their original ensembles even after extinction learning (Grewe et al., 2017).”
BackgroundAgetsuma, M., Sato, I., Tanaka, Y. R., Carrillo‐Reid, L., Kasai, A., Noritake, A., Arai, Y., Yoshitomo, M., Inagaki, T., Yukawa, H., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41547-5 · Cited by 21
“Also, the same study 44 reported the enhancement of the CS+ responsiveness in the basolateral amygdala during the repeated CS-US pairing for the conditioning.”
Matsuda, S., Tohyama, S., & Mizutani, A. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.09.030 · Cited by 16
Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future
Sakurai, Y., Osako, Y., Tanisumi, Y., Ishihara, E., Hirokawa, J., & Manabe, H. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00021 · Cited by 21
“Recent studies (Driscoll et al., 2017; Grewe et al., 2017) have demonstrated the merits of this technique in detecting both the dynamics and stability of neuronal representations across days in some brain regions.”
BackgroundKhalaf, O., & Gräff, J. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00070 · Cited by 18
Wang, Z., Liu, Z., Yu, Y., Sun, Y., Zhang, Y., Gao, K., Cao, J., Wang, L., & Zhu, Y. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03383-7 · Cited by 18
Understanding common human driving semantics for autonomous vehicles
Xia, Y., Geng, M., Chen, Y., Sun, S., Liao, C., Zhu, Z., Li, Z., Ochieng, W. Y., Angeloudis, P., Elhajj, M., et al. (2023) · Patterns · doi:10.1016/j.patter.2023.100730 · Cited by 18
“48 This bridges the raw information processing of human linguistic understanding and the AV’s driving behavior understanding.”
BackgroundPlasticity of neuronal dynamics in the lateral habenula for cue-punishment associative learning
Congiu, M., Mondoloni, S., Zouridis, I. S., Schmors, L., Lecca, S., Lalive, A. L., Ginggen, K., Deng, F., Berens, P., Paolicelli, R. C., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02155-3 · Cited by 16
Signatures of task learning in neural representations
Gurnani, H., & Cayco-Gajic, N. A. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102759 · Cited by 19
Savtchouk, I., Carriero, G., & Volterra, A. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00098 · Cited by 17
“…data, as indicated, their typical approach consists of complexity reduction, accomplished by placing large ROIs onto neuronal somas, thereby merging information from a large number of voxels into a single trace, either manually, or via linear algebra-based approaches (see e.g., Grewe et al., 2017).”
BackgroundMethodQuillfeldt, J. A. (2019) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2019.00001 · Cited by 18
“, 2010), and even to study long-term memory related neural ensemble activity in the amygdala (Grewe et al., 2017).”
BackgroundEnvironmental variables that ameliorate extinction learning deficits in the 129S1/SvlmJ mouse strain
Cazares, V. A., Rodriguez, G., Parent, R., Ouillette, L., Glanowska, K. M., Moore, S. J., & Murphy, G. G. (2019) · Genes Brain & Behavior · doi:10.1111/gbb.12575 · Cited by 17
“We first sought to establish phenotypes for discriminative fear conditioning and extinction learning for 129S1 and C57BL/6 mice using validated behavioral protocols.(5,48) A statistical analysis of fear conditioning data yielded a main effect of training (ie, CS+ presentations) for freezing (F3,105 = 43.”
MethodInput associativity underlies fear memory renewal
Li, W., Wu, Y., Gu, X., Fan, H.-R., Wang, Q., Zhu, J., Yi, X., Wang, Q., Jiang, Q., Li, Y., et al. (2021) · National Science Review · doi:10.1093/nsr/nwab004 · Cited by 17
“The LA is well known to code for many aspects of fear memory, such as longitudinal transformation of long-term associative memory from fear learning to extinction [42], transverse discrimination [43], or interaction [44]of differentmemories, and affirming the identities of individualmemories [45], eachwith specific sy…”
Affective memory rehearsal with temporal sequences in amygdala neurons
Reitich-Stolero, T., & Paz, R. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0542-9 · Cited by 17
Grohs, G., Smausz, R., Gigg, J., Boeckers, T. M., & Hengerer, B. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.113862 · Cited by 18
Population coding of predator imminence in the hypothalamus
Cheung, K. Y. M., Nair, A., Li, L.-Y., Shapiro, M. G., & Anderson, D. J. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.003 · Cited by 16
“24,25 A further difficulty is that, in contrast to a fear-conditioned stimulus, 26 innately threatening stimuli evoke internal defensive states and motor responses upon the animal’s first encounter.”
Takamiya, S., Yuki, S., Hirokawa, J., Manabe, H., & Sakurai, Y. (2019) · Neuroscience Research · doi:10.1016/j.neures.2019.03.005 · Cited by 17
Takehara‐Nishiuchi, K., Morrissey, M. D., & Pilkiw, M. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1503-20.2020 · Cited by 20
Fluorescence microendoscopy for in vivo deep-brain imaging of neuronal circuits
Laing, B. T., Siemian, J. N., Sarsfield, S., & Aponte, Y. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.109015 · Cited by 15
Hoang, I. B., & Sharpe, M. J. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.04.014 · Cited by 16
Ventral hippocampal interneurons govern extinction and relapse of contextual associations
Lacagnina, A. F., Dong, T. N., Iyer, R. R., Boesch, L. F., Khan, S. R., Mohamed, M. K., & Clem, R. L. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114880 · Cited by 17
Contingent Amygdala Inputs Trigger Heterosynaptic LTP at Hippocampus-To-Accumbens Synapses
Yu, J. J., Sesack, S. R., Huang, Y. H., Schlüter, O. M., Grace, A. A., & Dong, Y. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0838-22.2022 · Cited by 15
Bai, T., Zhan, L., Zhang, N., Lin, F., Saur, D., & Xu, C. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112853 · Cited by 16
The representational geometry of emotional states in basolateral amygdala
O’Neill, P.-K., Posani, L., Mészáros, J., Warren, P., Schoonover, C. E., Fink, A. J. P., Fusi, S., & Salzman, C. D. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02315-y · Cited by 17
“No statistical methods were used to predetermine sample sizes, but our sample sizes are similar to those reported in previous publications 15,28 .”
Hippocampal contextualization of social rewards in mice
Duarte, J. M., Nguyen, R., Kyprou, M., Li, K., Milentijevic, A., Cerquetella, C., Forro, T., & Ciocchi, S. (2024) · Nature Communications · doi:10.1038/s41467-024-53866-2 · Cited by 14
“Calcium imaging videos were analysed using a custom Matlab code 79 .”
Prefrontal correlates of fear generalization during endocannabinoid depletion
Rosas-Vidal, L. E., Naskar, S., Mayo, L. M., Perini, I., Masroor, R., Altemus, M., Ramos-Medina, L., Zaidi, S. D., Engelbrektsson, H., Jagasia, P., et al. (2025) · Journal of Clinical Investigation · doi:10.1172/jci179881 · Cited by 15
“This finding contrasts with evidence that amygdala ensembles are more stable across days following fear conditioning (36).”
InfluentialKinase and phosphatase engagement is dissociated between memory formation and extinction
Pagani, M. R., & Merlo, E. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00038 · Cited by 14
Fear Learning: An Evolving Picture for Plasticity at Synaptic Afferents to the Amygdala
Palchaudhuri, S., Osypenko, D., & Schneggenburger, R. (2022) · The Neuroscientist · doi:10.1177/10738584221108083 · Cited by 15
“How fear learning might change the activity of populations of neurons in the LA and BA during and after fear learning has recently been reinvesti-gated (Grewe and others 2017; Zhang and Li 2018).”
BackgroundInfluentialSocial regulation of survival circuits through learning
Olsson, A., FeldmanHall, O., Haaker, J., & Hensler, T. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.09.016 · Cited by 15
“In rodents, associative learning within amygdala circuits is mirrored by plasticity in the lateral nucleus of the amygdala (LA), where neuronal activity representing information about the tone (CS) and shock (US) coincide [15,16].”
BackgroundPrefrontal encoding of an internal model for emotional inference
Gu, X., & Johansen, J. P. (2025) · Nature · doi:10.1038/s41586-025-09001-2 · Cited by 19
Persistent representation of the environment in the hippocampus
Kobayashi, K. S., & Matsuo, N. (2023) · Cell Reports · doi:10.1016/j.celrep.2022.111989 · Cited by 13
Anterior basolateral amygdala neurons comprise a remote fear memory engram
Hammack, R. J., Fischer, V. E., Andrade, M. A., & Toney, G. M. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1167825 · Cited by 14
“recall) may be explained by recruitment of distinct neural circuits resulting from plasticity initiated during fear memory formation and subsequent network plasticity resulting in engram migration prior to remote memory recall testing (Grewe et al., 2017; DeNardo et al., 2019).”
BackgroundCalcium imaging of adult-born neurons in freely moving mice
Carrier‐Ruiz, A., Sugaya, Y., Kumar, D., Vergara, P., Koyanagi, I., Srinivasan, S., Naoi, T., Kano, M., & Sakaguchi, M. (2020) · STAR Protocols · doi:10.1016/j.xpro.2020.100238 · Cited by 13
Hippocampus as a sorter and reverberatory integrator of sensory inputs
Nomoto, M., Murayama, E., Ohno, S., Okubo-Suzuki, R., Muramatsu, S., & Inokuchi, K. (2022) · Nature Communications · doi:10.1038/s41467-022-35119-2 · Cited by 16
Webler, R. D., Oathes, D. J., van Rooij, S. J. H., Gewirtz, J. C., Nahas, Z. H., Lissek, S. M., & Widge, A. S. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105005 · Cited by 14
Veres, J. M., Fekete, Z., Müller, K., Andrási, T., Rovira-Esteban, L., Barabás, B., Papp, O. I., & Hájos, N. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1120338 · Cited by 14
“, 2017), a portion of which is engaged in memory processes or pain processing does not exceed typically 10–15% (Trouche et al., 2013; Senn et al., 2014; Grewe et al., 2017; Corder et al., 2019).”
All IEGs Are Not Created Equal—Molecular Sorting Within the Memory Engram
Yelhekar, T. D., Meng, M., Doupe, J., & Lin, Y. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-62983-9_6 · Cited by 12
Investigating learning-related neural circuitry with chronic in vivo optical imaging
Lee, C. R., Najafizadeh, L., & Margolis, D. J. (2020) · Brain Structure and Function · doi:10.1007/s00429-019-02001-9 · Cited by 12
Potentiation of cholinergic and corticofugal inputs to the lateral amygdala in threat learning
Asokan, M. M., Watanabe, Y. L., Kimchi, E. Y., & Polley, D. B. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113167 · Cited by 15
Prefrontal circuits encode both general danger and specific threat representations
Martín‐Fernández, M., Menegolla, A. P., Lopez-Fernandez, G., Winke, N., Jercog, D., Kim, H.-R., Girard, D., Déjean, C., & Herry, C. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01472-8 · Cited by 16
“In the amygdala, the CS + neuronal representation becomes more similar to the US neuronal representation after conditioning 18 .”
MethodPoggi, G., Bergamini, G., Dulinskas, R., Madur, L., Greter, A., Ineichen, C., Dagostino, A., Kúkeľová, D., Sigrist, H., Bornemann, K. D., et al. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16272 · Cited by 12
“10 12 vg/mL, 300 nL) (Grewe et al., 2017; Madur et al., 2023), was injected unilaterally in the BA (see Stereotactic surgery for retrograde tracing and fibre photometry).”
MethodExtracellular matrix: a new player in memory maintenance and psychiatric disorders
Bach, D. R., Brown, S. A., Kleim, B., & Tyagarajan, S. K. (2019) · Swiss Medical Weekly · doi:10.4414/smw.2019.20060 · Cited by 11
Ca2+ imaging of neurons in freely moving rats with automatic post hoc histological identification
Anner, P., Passecker, J., Klausberger, T., & Dorffner, G. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108765 · Cited by 12
Imaging distinct neuronal populations with a dual channel miniscope
Barbera, G., Thapa, R., Adhikari, N., Li, Y., & Lin, D. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1445020 · Cited by 11
Synaptic dysfunction in amygdala in intellectual disorder models
Aincy, M., Méziane, H., Hérault, Y., & Humeau, Y. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.07.028 · Cited by 11
Andreani, J. C. (2021) · NeuroTarget · doi:10.47924/neurotarget20213 · Cited by 10
Lateral ventral tegmental area GABAergic and glutamatergic modulation of conditioned learning
Rizzi, G., Li, Z., Hogrefe, N., & Tan, K. R. (2020) · Cell Reports · doi:10.1016/j.celrep.2021.108867 · Cited by 10
Svalina, M. N., Guthman, E. M., Rio, C. A. C.-D., Kushner, J. K., Baca, S. M., Restrepo, D., & Huntsman, M. M. (2021) · eNeuro · doi:10.1523/eneuro.0113-21.2021 · Cited by 12
Magnetic voluntary head-fixation in transgenic rats enables lifespan imaging of hippocampal neurons
Rich, P. D., Thiberge, S. Y., Scott, B. B., Guo, C., Tervo, D. G. R., Brody, C. D., Karpova, A. Y., Daw, N. D., & Tank, D. W. (2024) · Nature Communications · doi:10.1038/s41467-024-48505-9 · Cited by 10
“Single photon imaging has been used to track cells over multiple days 45,53 but is challenging over longer periods due to lack of optical sectioning, light scattering and its ability to only visualize active cells 54 .”
Stability of cross-sensory input to primary somatosensory cortex across experience
Kato, D. D., & Bruno, R. M. (2024) · Neuron · doi:10.1016/j.neuron.2024.10.020 · Cited by 10
“77 By contrast, passively pairing an auditory and visual stimulus does specifically increase V1 responses to the paired auditory stimulus.”
Contributions of associative and non-associative learning to the dynamics of defensive ethograms
Le, Q.-S. E., Hereford, D., Borkar, C. D., Aldaco, Z., Klar, J., Resendez, A., & Fadok, J. P. (2024) · eLife · doi:10.7554/elife.90414.3 · Cited by 9
Npas4-mediated dopaminergic regulation of safety memory consolidation
Ko, B., Yoo, J.-Y., Yoo, T., Choi, W., Dogan, R., Sung, K., Um, D., Lee, S. B., Kim, H. J., Lee, S., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112678 · Cited by 9
Turning strains into strengths for understanding psychiatric disorders
Moore, S. J., Murphy, G. G., & Cazares, V. A. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0772-y · Cited by 10
“, in genes, sex, and environment) alter neurophysiological mechanisms that lead to susceptibility or resiliency (for example, by visualizing neural circuit activity during FE learning [69]).”
BackgroundWhat is a cognitive map? Organising knowledge for flexible behaviourPreprint
Behrens, T. E. J., Müller, T., Whittington, J. C. R., Mark, S., Baram, A. B., Stachenfeld, K., & Kurth-Nelson, Z. L. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/365593 · Cited by 16
“Indeed, such mechanisms likely do exist in the brain (e.g. in (Grewe et al., 2017)).”
BackgroundLink Brain-Wide Projectome to Neuronal Dynamics in the Mouse Brain
Li, X., Du, Y., Huang, J., Li, W.-W., Song, W., Fan, R.-N., Zhou, H. K., Jiang, T., Lu, C., Guan, Z., et al. (2024) · Neuroscience Bulletin · doi:10.1007/s12264-024-01232-z · Cited by 8
Salient safety conditioning improves novel discrimination learning
Nahmoud, I., Vasquez, J. G., Cho, H., Dennis‐Tiwary, T. A., & Likhtik, E. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112907 · Cited by 10
More, J., Casas, M. M., Sánchez, G., Hidalgo, C., & Haeger, P. A. (2018) · Neural Plasticity · doi:10.1155/2018/5056181 · Cited by 8
“Fear conditioning, an associative learning process that produces robust memories, represents a form of Pavlovian conditioning that has received considerable attention over the last years [1, 2].”
A behavioral perspective on service center routing: The role of inertia
Schecter, A., Wowak, K. D., Berente, N., Ye, H., & Mukherjee, U. K. (2021) · Journal of Operations Management · doi:10.1002/joom.1156 · Cited by 8
Excitability-Independent Memory Allocation for Repeated Event
Cho, H.-Y., Lee, H.-S., Jeong, Y., Han, J., Yoo, M., & Han, J. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.860027 · Cited by 8
“Liu et al., 2012; Josselyn et al., 2015; Tonegawa et al., 2015; Grewe et al., 2017).”
Robinson, K. J., Everett, N. A., Baracz, S. J., & Cornish, J. L. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06175-9 · Cited by 8
A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
Guo, Y., Zou, X., Hu, Y., Yang, Y., Wang, X., He, Y., Kong, R., Guo, Y., Li, G., Zhang, W., et al. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202100054 · Cited by 14
The hippocampus contributes to retroactive stimulus associations during trace fear conditioning
Puhger, K. R., Crestani, A. P., Diniz, C. R. A. F., & Wiltgen, B. J. (2024) · iScience · doi:10.1016/j.isci.2024.109035 · Cited by 9
Metadata
- Authors
- Grewe, B. F., Gründemann, J., Kitch, L. J., Lecoq, J. A., Parker, J. G., Marshall, J. D., Larkin, M. C., Jercog, P. E., Grenier, F., Li, J. Z., Lüthi, A., & Schnitzer, M. J.
- Affiliations
- Howard Hughes Medical Institute (US)
- Friedrich Miescher Institute (CH)
- Pfizer (United States) (US)
- Stanford University (US)
- University of Basel (CH)
- Corresponding author
- Schnitzer, Mark J.
- ORCID
- Venue
- Nature
- Published
- 2017-03
- Volume
- 543
- Issue
- 7647
- Pages
- 670-675
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5378308
- OpenAlex
- W2602668040
- Cited by
- 351
- References
- 47
- Citations by year
- 2026: 27 · 2025: 31 · 2024: 44 · 2023: 45 · 2022: 27 · 2021: 34 · 2020: 42 · 2019: 46 · 2018: 36 · 2017: 19
- FWCI
- 22.17
- 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)
- RePEc: Research Papers in Economics (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- 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 › Neural dynamics and brain function
- Keywords
- associative memory, neuronal ensembles, basal amygdala, lateral amygdala, fear conditioning, fear extinction, calcium dynamics, supervised learning, conditioned stimulus, unconditioned stimulus, microendoscopy
- MeSH terms
- Amygdala, Animals, Calcium, Conditioning, Classical, Extinction, Psychological, Fear, Male, Microscopy, Fluorescence, Neuronal Plasticity, Neurons, Calcium Signaling, Mice, Memory, Long-Term
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