A subcortical switchboard for perseverative, exploratory and disengaged states
Open accessAbstract
Abstract To survive in dynamic environments with uncertain resources, animals must adapt their behaviour flexibly, choosing strategies such as persevering with a current choice, exploring alternatives or disengaging altogether. Previous studies have mainly investigated how forebrain regions represent choice costs and values as well as optimal strategies during such decisions 1–5 . However, the neural mechanisms by which the brain implements alternative behavioural strategies such as persevering, exploring or disengaging remain poorly understood. Here we identify a neural hub that is critical for flexible switching between behavioural strategies, the median raphe nucleus (MRN). Using cell-type-specific optogenetic manipulations, fibre photometry and circuit tracing in mice performing diverse instinctive and learnt behaviours, we found that the main cell types of the MRN—GABAergic (γ-aminobutyric acid-expressing), glutamatergic (VGluT2 + ) and serotonergic neurons—have complementary functions and regulate perseverance, exploration and disengagement, respectively. Suppression of MRN GABAergic neurons—for instance, through inhibitory input from lateral hypothalamus, which conveys strong positive valence to the MRN—leads to perseverative behaviour. By contrast, activation of MRN VGluT2 + neurons drives exploration. Activity of serotonergic MRN neurons is necessary for general task engagement. Input from the lateral habenula that conveys negative valence suppresses serotonergic MRN neurons, leading to disengagement. These findings establish the MRN as a central behavioural switchboard that is uniquely positioned to flexibly control behavioural strategies. These circuits thus may also have an important role in the aetiology of major mental pathologies such as depressive or obsessive-compulsive disorders.
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
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?
fMRI recording cannot determine whether DRN signals arise from serotonergic, glutamatergic, or GABAergic neurons.
“Although DRN is strongly associated with serotonin, fMRI recording here cannot determine whether these signals arise from serotonergic, glutamatergic, or GABAergic neurons.84”
From Two prefrontal-subcortical circuits estimate controllability and reflect its impact on learning (2026) · cites this paper as [84]
The Main section (page unavailable) identifies the DRN as a main source of serotonin, supporting the sentence’s background point. But the paper discusses distinct serotonergic, glutamatergic and GABAergic cell classes in the MRN, not the DRN, and does not address whether fMRI can distinguish the source of DRN signals. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Durbin, R. M., Eddy, S. R., Krogh, A., & Mitchison, G. (1998) · Cambridge University Press eBooks · doi:10.1017/cbo9780511790492 · Cited by 3,255 · see citing works
Statistical Inference for Probabilistic Functions of Finite State Markov Chains
Baum, L. E., & Petrie, T. (1966) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177699147 · Cited by 2,775 · see citing works
Cortical substrates for exploratory decisions in humans
Daw, N. D., O'Doherty, J. P., Dayan, P., Seymour, B., & Dolan, R. J. (2006) · Nature · doi:10.1038/nature04766 · Cited by 2,224 · 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
ScanImage: Flexible software for operating laser scanning microscopes
Pologruto, T. A., Sabatini, B. L., & Svoboda, K. (2003) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-2-13 · Cited by 1,297 · see citing works
Sucrose preference test for measurement of stress-induced anhedonia in mice
Liu, M.-Y., Yin, C.-Y., Zhu, L.-J., Zhu, X.-H., Xu, C., Luo, C.-X., Chen, H., Zhu, D.-Y., & Zhou, Q.-G. (2018) · Nature Protocols · doi:10.1038/s41596-018-0011-z · Cited by 1,026 · see citing works
T-maze alternation in the rodent
Deacon, R. M. J., & Rawlins, J. N. P. (2006) · Nature Protocols · doi:10.1038/nprot.2006.2 · Cited by 901 · see citing works
Choice, uncertainty and value in prefrontal and cingulate cortex
Rushworth, M. F. S., & Behrens, T. E. J. (2008) · Nature Neuroscience · doi:10.1038/nn2066 · Cited by 866 · see citing works
Two routes to emotional memory: Distinct neural processes for valence and arousal
Kensinger, E. A., & Corkin, S. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0306408101 · Cited by 848 · cited 1× · see citing works
“Changes in arousal level and valence—the affective signed value associated with a stimulus or context—are crucial for the manifestation of motivational states 30 , and are therefore likely to have an important role in regulating interactions with the environment.”
A PHA-L analysis of ascending projections of the dorsal raphe nucleus in the rat
Vertes, R. P. (1991) · Journal of Comparative Neurology · doi:10.1002/cne.903130409 · Cited by 842 · see citing works
Spike sorting for large, dense electrode arrays
Rossant, C., Kadir, S., Goodman, D. F. M., Schulman, J., Hunter, M. L. D., Saleem, A. B., Grosmark, A., Belluscio, M., Denfield, G. H., Ecker, A. S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4268 · Cited by 760 · see citing works
Distinct extended amygdala circuits for divergent motivational states
Jennings, J. H., Sparta, D. R., Stamatakis, A. M., Ung, R. L., Pleil, K. E., Kash, T. L., & Stuber, G. D. (2013) · Nature · doi:10.1038/nature12041 · Cited by 704 · cited 1× · see citing works
“We used a self-stimulation test that is commonly used to assess the valence of a neural manipulation 31,32 , in which mice are presented with two nose-poke ports, only one of which triggers optogenetic self-stimulation upon entering (opto-linked port; Fig.”
Serial two-photon tomography for automated ex vivo mouse brain imaging
Ragan, T. M., Kadiri, L. R., Venkataraju, K. U., Bahlmann, K., Sutin, J. D. B., Taranda, J., Arganda‐Carreras, I., Kim, Y., Seung, H. S., & Osten, P. (2012) · Nature Methods · doi:10.1038/nmeth.1854 · Cited by 659 · see citing works
JAABA: Interactive machine learning for automatic annotation of animal behavior
Kabra, M., Robie, A. A., Rivera-Alba, M., Branson, S., & Branson, K. (2013) · Nature Methods · doi:10.1038/nmeth.2281 · Cited by 644 · 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
Kolling, N., Behrens, T. E. J., Mars, R. B., & Rushworth, M. F. S. (2012) · Science · doi:10.1126/science.1216930 · Cited by 629 · see citing works
A circuit mechanism for differentiating positive and negative associations
Namburi, P., Beyeler, A., Yorozu, S., Calhoon, G. G., Halbert, S. A., Wichmann, R., Holden, S. S., Mertens, K. L., Anahtar, M., Felix-Ortiz, A. C., et al. (2015) · Nature · doi:10.1038/nature14366 · Cited by 614 · see citing works
Rapid innate defensive responses of mice to looming visual stimuli
Yilmaz, M., & Meister, M. (2013) · Current Biology · doi:10.1016/j.cub.2013.08.015 · Cited by 611 · see citing works
Circuits and functions of the lateral habenula in health and in disease
Hu, H., Cui, Y., & Yang, Y. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-0292-4 · Cited by 471 · see citing works
Frank, M. J., Doll, B. B., Oas-Terpstra, J., & Moreno, F. (2009) · Nature Neuroscience · doi:10.1038/nn.2342 · Cited by 452 · see citing works
A whole-brain atlas of inputs to serotonergic neurons of the dorsal and median raphe nuclei
Pollak Dorocic, I., Fürth, D., Xuan, Y., Johansson, Y., Pozzi, L., Silberberg, G., Carlén, M., & Meletis, K. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.002 · Cited by 451 · see citing works
A synaptic threshold mechanism for computing escape decisions
Evans, D. A., Stempel, A. V., Vale, R., Ruehle, S., Lefler, Y., & Branco, T. (2018) · Nature · doi:10.1038/s41586-018-0244-6 · Cited by 449 · see citing works
Decoding Neural Circuits that Control Compulsive Sucrose Seeking
Nieh, E. H., Matthews, G. A., Allsop, S. A., Presbrey, K. N., Leppla, C. A., Wichmann, R., Neve, R., Wildes, C. P., & Tye, K. M. (2015) · Cell · doi:10.1016/j.cell.2015.01.003 · Cited by 402 · see citing works
Wall, N. R., Wickersham, I. R., Cetin, A. H., Parra, M. D. L., & Callaway, E. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011756107 · Cited by 369 · see citing works
Targeted gene expression in dopamine and serotonin neurons of the mouse brain
Zhuang, X., Masson, J., Gingrich, J. A., Rayport, S., & Hen, R. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.09.020 · Cited by 316 · see citing works
Rabies Virus CVS-N2c ΔG Strain Enhances Retrograde Synaptic Transfer and Neuronal Viability
Reardon, T. R., Murray, A., Turi, G. F., Wirblich, C., Croce, K. R., Schnell, M. J., Jessell, T. M., & Losonczy, A. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.004 · Cited by 311 · see citing works
Ren, J., Isakova, A., Friedmann, D., Zeng, J., Grutzner, S. M., Pun, A., Zhao, G. Q., Kolluru, S. S., Wang, R., Lin, R., et al. (2019) · eLife · doi:10.7554/elife.49424 · Cited by 304 · see citing works
High-efficiency optogenetic silencing with soma-targeted anion-conducting channelrhodopsins
Mahn, M., Gibor, L., Patil, P., Malina, K. C.-K., Oring, S., Printz, Y., Levy, R., Lampl, I., & Yizhar, O. (2018) · Nature Communications · doi:10.1038/s41467-018-06511-8 · Cited by 279 · see citing works
Internal state dynamics shape brainwide activity and foraging behaviour
Marques, J. C., Li, M., Schaak, D., Robson, D. N., & Li, J. M. (2020) · Nature · doi:10.1038/s41586-019-1858-z · Cited by 243 · see citing works
Activity patterns of serotonin neurons underlying cognitive flexibility
Matias, S., Lottem, E., Dugué, G. P., & Mainen, Z. F. (2017) · eLife · doi:10.7554/elife.20552 · Cited by 239 · see citing works
McLaughlin, I., Dani, J. A., & Biasi, M. D. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14008 · Cited by 223 · see citing works
A Primer on Foraging and the Explore/Exploit Trade-Off for Psychiatry Research
Addicott, M. A., Pearson, J. M., Sweitzer, M. M., Barack, D. L., & Platt, M. L. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.108 · Cited by 219 · see citing works
Balancing exploration and exploitation with information and randomization
Wilson, R. C., Bonawitz, E. B., Costa, V. D., & Ebitz, R. B. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.10.001 · Cited by 215 · see citing works
Mayerich, D. M., Abbott, L. C., & McCormick, B. H. (2008) · Journal of Microscopy · doi:10.1111/j.1365-2818.2008.02024.x · Cited by 182 · see citing works
Serotonin neurons modulate learning rate through uncertainty
Grossman, C. D., Bari, B. A., & Cohen, J. Y. (2022) · Current Biology · doi:10.1016/j.cub.2021.12.006 · Cited by 164 · see citing works
Behzadi, G., Kalén, P., Parvopassu, F., & Wiklund, L. (1990) · Neuroscience · doi:10.1016/0306-4522(90)90194-9 · Cited by 140 · see citing works
Morin, L. P., & Meyer-Bernstein, E. L. (1999) · Neuroscience · doi:10.1016/s0306-4522(98)00585-5 · Cited by 136 · see citing works
Rosen, J. B., Asok, A., & Chakraborty, T. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00292 · Cited by 132 · see citing works
Subcortical Substrates of Explore-Exploit Decisions in Primates
Costa, V. D., Mitz, A. R., & Averbeck, B. B. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.017 · Cited by 131 · see citing works
Paquelet, G. E., Carrion, K., Lacefield, C., Zhou, P., Hen, R., & Miller, B. R. (2022) · Neuron · doi:10.1016/j.neuron.2022.05.015 · Cited by 129 · see citing works
Activation of serotonin neurons promotes active persistence in a probabilistic foraging task
Lottem, E., Banerjee, D., Vertechi, P., Sarra, D., Lohuis, M. N. O., & Mainen, Z. F. (2018) · Nature Communications · doi:10.1038/s41467-018-03438-y · Cited by 128 · see citing works
Smith, Y., Kieval, J. Z., Couceyro, P. R., & Kuhar, M. J. (1999) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19990517)407:4 · Cited by 122 · see citing works
Dopaminergic modulation of the exploration/exploitation trade-off in human decision-making
Chakroun, K., Mathar, D., Wiehler, A., Ganzer, F., & Peters, J. (2020) · eLife · doi:10.7554/elife.51260 · Cited by 121 · see citing works
Ahmadlou, M., Houba, J. H. W., van Vierbergen, J. F. M., Giannouli, M., Gimenez, G.-A., van Weeghel, C., Darbanfouladi, M., Shirazi, M. Y., Dziubek, J., Kacem, M., et al. (2021) · Science · doi:10.1126/science.abe9681 · Cited by 112 · see citing works
Self-citationPreference for concentric orientations in the mouse superior colliculus
Ahmadlou, M., & Heimel, J. A. (2015) · Nature Communications · doi:10.1038/ncomms7773 · Cited by 107 · see citing works
Self-citationTheory of Choice in Bandit, Information Sampling and Foraging Tasks
Averbeck, B. B. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004164 · Cited by 105 · see citing works
The anterior cingulate cortex directs exploration of alternative strategies
Tervo, D. G. R., Kuleshova, E., Manakov, M., Proskurin, M., Karlsson, M., Lustig, A., Behnam, R., & Karpova, A. Y. (2021) · Neuron · doi:10.1016/j.neuron.2021.03.028 · Cited by 97 · see citing works
Yoshida, K., Drew, M. R., Mimura, M., & Tanaka, K. F. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0376-5 · Cited by 96 · see citing works
Tyree, S. M., & de Lecea, L. (2017) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2017.00050 · Cited by 95 · see citing works
Dopamine blockade impairs the exploration-exploitation trade-off in rats
Cinotti, F., Fresno, V., Aklil, N., Coutureau, É., Girard, B., Marchand, A. R., & Khamassi, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-43245-z · Cited by 94 · see citing works
Ohmura, Y., Tsutsui‐Kimura, I., Sasamori, H., Nebuka, M., Nishitani, N., Tanaka, K. F., Yamanaka, A., & Yoshioka, M. (2019) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.107703 · Cited by 92 · see citing works
Thalamic inhibition regulates critical-period plasticity in visual cortex and thalamus
Sommeijer, J.-P., Ahmadlou, M., Saiepour, M. H., Seignette, K., Min, R., Heimel, J. A., & Levelt, C. N. (2017) · Nature Neuroscience · doi:10.1038/s41593-017-0002-3 · Cited by 88 · see citing works
Self-citationThe neurocomputational bases of explore-exploit decision-making
Hogeveen, J., Mullins, T. S., Romero, J. D., Eversole, E., Rogge-Obando, K., Mayer, A. R., & Costa, V. D. (2022) · Neuron · doi:10.1016/j.neuron.2022.03.014 · Cited by 84 · see citing works
Miyazaki, K., Miyazaki, K. W., Yamanaka, A., Tokuda, T., Tanaka, K. F., & Doya, K. (2018) · Nature Communications · doi:10.1038/s41467-018-04496-y · Cited by 79 · see citing works
Functional modulation of primary visual cortex by the superior colliculus in the mouse
Ahmadlou, M., Zweifel, L. S., & Heimel, J. A. (2018) · Nature Communications · doi:10.1038/s41467-018-06389-6 · Cited by 78 · see citing works
Self-citationMedian raphe controls acquisition of negative experience in the mouse
Szőnyi, A., Zichó, K., Barth, A. M., Gönczi, R., Schlingloff, D., Török, B., Sipos, E., Major, Á., Bardóczi, Z., Sos, K. E., et al. (2019) · Science · doi:10.1126/science.aay8746 · Cited by 76 · see citing works
Fratzl, A., Koltchev, A. M., Vissers, N., Tan, Y. L., Marques–Smith, A., Stempel, A. V., Branco, T., & Hofer, S. B. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.003 · Cited by 76 · see citing works
Self-citationLissemore, J. I., Sookman, D., Gravel, P., Berney, A., Barsoum, A., Dikšić, M., NORDAHL, T. E., Pinard, G., Sibon, I., Cottraux, J. A., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0128-4 · Cited by 62 · see citing works
Xu, C., Sun, Y., Cai, X., You, T., Zhao, H., Li, Y., & Zhao, H. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00238 · Cited by 62 · see citing works
Primate Orbitofrontal Cortex Codes Information Relevant for Managing Explore–Exploit Tradeoffs
Costa, V. D., & Averbeck, B. B. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2355-19.2020 · Cited by 60 · see citing works
Kawai, H., Bouchekioua, Y., Nishitani, N., Niitani, K., Izumi, S., Morishita, H., Andoh, C., Nagai, Y., Koda, M., Hagiwara, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-35346-7 · Cited by 54 · see citing works
Xu, Z., Feng, Z., Zhao, M., Sun, Q., Deng, L., Jia, X., Jiang, T., Luo, P., Chen, W., Tudi, A., et al. (2021) · eLife · doi:10.7554/elife.65502 · Cited by 51 · see citing works
Kim, M., Kwak, S., Yoon, Y. B., Kwak, Y. B., Kim, T., Cho, K. I. K., Lee, T. Y., & Kwon, J. S. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0436-2 · Cited by 37 · see citing works
Neural responses in macaque prefrontal cortex are linked to strategic exploration
Jahn, C. I., Grohn, J., Cuell, S. F., Emberton, A., Bouret, S., Walton, M. E., Kolling, N., & Sallet, J. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3001985 · Cited by 28 · see citing works
Souza, R., Bueno, D., Lima, L. B., Muchon, M. J., Gonçalves, L., Donato, J., Shammah‐Lagnado, S. J., & Metzger, M. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02538-2 · Cited by 27 · see citing works
Luo, Q., Kanen, J. W., Bari, A., Skandali, N., Langley, C., Knudsen, G. M., Alsiö, J., Phillips, B. U., Sahakian, B. J., Cardinal, R. N., et al. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01762-6 · Cited by 26 · see citing works
Dopamine and Norepinephrine Differentially Mediate the Exploration–Exploitation Tradeoff
Chen, C. S., Mueller, D., Knep, E., Ebitz, R. B., & Grissom, N. M. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1194-23.2024 · Cited by 25 · see citing works
Testing Depression in Mice: a Chronic Social Defeat Stress Model
Kim, H.-D., Call, T., Carotenuto, S., Johnson, R., & Ferguson, D. (2017) · BIO-PROTOCOL · doi:10.21769/bioprotoc.2203 · Cited by 23 · see citing works
Post, R. J., Bulkin, D. A., Bulkin, D. A., Ebitz, R. B., Lee, V., Han, K., & Warden, M. R. (2022) · Current Biology · doi:10.1016/j.cub.2022.08.016 · Cited by 19 · see citing works
Serotonin in the orbitofrontal cortex enhances cognitive flexibilityPreprint
Hyun, J. H., Hannan, P., Iwamoto, H., Blakely, R., & Kwon, H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.09.531880 · Cited by 18 · see citing works
Naïve individuals promote collective exploration in homing pigeons
Valentini, G., Pavlic, T. P., Walker, S. I., et al. (2021) · eLife · doi:10.7554/elife.68653 · Cited by 17 · see citing works
Median raphe region GABAergic neurons contribute to social interest in mouse
Chaves, T., Török, B., Fazekas, C. L., Correia, P., Sipos, E., Várkonyi, D., Hellinger, Á., Erk, D., & Zelena, D. (2021) · Life Sciences · doi:10.1016/j.lfs.2021.120223 · Cited by 14 · see citing works
The effects of time horizon and guided choices on explore–exploit decisions in rodents.
Wang, S., Gerken, B., Wieland, J. R., Wilson, R. C., & Fellous, J. (2023) · Behavioral Neuroscience · doi:10.1037/bne0000549 · Cited by 13 · see citing works
Impairments in operant probabilistic reversal learning in BTBR T+tf/J male and female mice
Alvarez, B. D., Morales, C. A., Oliver, B. L., Cavazos, C., Amodeo, L. R., & Amodeo, D. A. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.114111 · Cited by 11 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Activity in human dorsal raphe nucleus signals changes in behavioural policy
Priestley, L., Mahmoodi, A., Reith, W. D., Khalighinejad, N., & Rushworth, M. F. S. (2026) · Nature Communications · doi:10.1038/s41467-026-68349-9 · Cited by 3 · see citing works
Reward magnitude determines reinforcement learning efficiency
Gong, S., Martell, A., Dudman, J. T., & Coddington, L. T. (2026) · Science · doi:10.1126/science.aeb0813 · Cited by 2 · see citing works
Two prefrontal-subcortical circuits estimate controllability and reflect its impact on learning
Liu, Y., Spiering, L., Luo, S., Kingston, N., Grohn, J., & Rushworth, M. F. S. (2026) · Neuron · doi:10.1016/j.neuron.2026.07.029 · Cited by 1 · see citing works
- Authors
- Ahmadlou, M., Shirazi, M. Y., Zhang, P., Rogers, I. L. M., Dziubek, J., Young, M., & Hofer, S. B.
- Affiliations
- Sainsbury Wellcome Centre (GB)
- Corresponding author
- Ahmadlou, Mehran
- Hofer, Sonja B.
- ORCID
- Venue
- Nature
- Published
- 2025-03-05
- Volume
- 641
- Issue
- 8061
- Pages
- 151-161
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC12043504
- OpenAlex
- W4408221278
- Cited by
- 25
- References
- 74
- Citations by year
- 2026: 16 · 2025: 9
- FWCI
- 9.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- median raphe nucleus, behavioral flexibility, perseveration, exploration, disengagement, serotonergic neurons, GABAergic neurons, glutamatergic neurons, lateral hypothalamus, lateral habenula, valence, depression, obsessive-compulsive disorder
- MeSH terms
- Animals, Exploratory Behavior, Female, Hypothalamic Area, Lateral, Male, Mice, Inbred C57BL, Neural Pathways, Raphe Nuclei, Vesicular Glutamate Transport Protein 2, Mice, Serotonergic Neurons, GABAergic Neurons, Optogenetics
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