The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Phasic Firing in Dopaminergic Neurons Is Sufficient for Behavioral Conditioning
Open accessAbstract
Rewarding Bursts of Dopamine: Dopaminergic neurons are thought to be involved in the cognitive and hedonic underpinnings of motivated behaviors. However, it is still unclear whether dopaminergic neuron activation is sufficient to elicit reward-related behavior and which type of neuronal activity pattern serves this purpose. Tsai et al. (p. 1080; published online 23 April) directly compared tonic versus phasic firing of dopaminergic cells in the ventral tegmental area, and the effects on both behavior and dopamine release. Using a transgenic system and virus injection in mice, they targeted the dopaminergic cells with rhodopsin. Light stimulation was then used to drive dopaminergic cells either with a tonic low level of pulses or bursts of high-frequency pulses, with the number of pulses being equal across conditions. Only the high-frequency phasic firing induced a conditioned place preference and dopamine release.
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
“There is an increase in DA release (measured in awake, behaving animals by microdialysis or by fastscanning cyclic voltammetry) in the NAc in response to unexpected food rewards or stimuli that predict food rewards [72,308-310].”
From Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings (2012) · cites this paper as [72]
In the citing paper
“This evidence was recently further investigated in an animal study using optogenetics, which showed that activation of the VTA leads to dopamine release in the NAc (Tsai et al., 2009; for a review, see Lenz and Lobo, 2013).”
From Circuit Mechanisms of Reward, Anhedonia, and Depression (2019) · cites this paper as Tsai et al., 2009
In the citing paper
“However, since optogenetic activation of VTA DA neurons increases social interaction (Gunaydin et al., 2014) and supports positive reinforcement (Tsai et al., 2009, Witten et al., 2011), they are thought to play a causal role in social reward.”
From Dorsal raphe dopamine neurons represent the experience of social isolation (2016) · cites this paper as Tsai et al., 2009
In the citing paper
“The light activated channelrhodopsin (ChR2) (19, 20) has been used in other neural systems to activate specific cell populations and produce learning (21–23).”
From Optical activation of lateral amygdala pyramidal cells instructs associative fear learning (2010) · cites this paper as [21]
In the citing paper
“conversely, simulating burst firing using channelrhodopsin is sufficient to induce behavioral conditioning [42].”
From A neoHebbian framework for episodic memory; role of dopamine-dependent late LTP (2011) · cites this paper as [42]
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
The neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews · doi:10.1016/0165-0173(93)90013-p · Cited by 7,346
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 5,015
Self-citationNeural systems of reinforcement for drug addiction: from actions to habits to compulsion
Everitt, B. J., & Robbins, T. W. (2005) · Nature Neuroscience · doi:10.1038/nn1579 · Cited by 3,785
Dopamine, learning and motivation.
Wise, R. A. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1406 · Cited by 3,379
Channelrhodopsin-2, a directly light-gated cation-selective membrane channel
Nagel, G., Szellas, T., Huhn, W., Kateriya, S., Adeishvili, N., Berthold, P. R., Ollig, D., Hegemann, P., & Bamberg, E. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1936192100 · Cited by 2,730
Drug abuse: hedonic homeostatic dysregulation
Koob, G. F., & Moal, M. L. (1997) · Science · doi:10.1126/science.278.5335.52 · Cited by 2,535
The mesolimbic dopamine reward circuit in depression
Nestler, E. J., & Carlezon, W. A. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.09.018 · Cited by 2,059
Dopamine neuron systems in the brain: An update
Björklund, A., & Dunnett, S. B. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.03.006 · Cited by 1,777
Multimodal fast optical interrogation of neural circuitry
Zhang, F., Wang, L., Brauner, M., Liewald, J. F., Kay, K., Watzke, N., Wood, P. G., Bamberg, E., Nagel, G., GOTTSCHALK, A. R., et al. (2007) · Nature · doi:10.1038/nature05744 · Cited by 1,766
Self-citationHabits, Rituals, and the Evaluative Brain
Graybiel, A. M. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112851 · Cited by 1,697
Flagged first, then by citations
Cited by
Sorted by citations
Dopamine in motivational control: rewarding, aversive, and alerting
Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.022 · Cited by 2,396
Deisseroth, K. A. (2010) · Nature Methods · doi:10.1038/nmeth.f.324 · Cited by 1,994
Self-citationOptogenetics in neural systems
Yizhar, O., Fenno, L. E., Davidson, T. J., Mogri, M., & Deisseroth, K. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.004 · Cited by 1,881
Self-citationThe brain reward circuitry in mood disorders
Russo, S. J., & Nestler, E. J. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3381 · Cited by 1,870
The development and application of optogenetics
Fenno, L., Yizhar, O., & Deisseroth, K. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113817 · Cited by 1,822
Self-citationNatural neural projection dynamics underlying social behavior
Gunaydin, L. A., Grosenick, L., Finkelstein, J. C., Kauvar, I. V., Fenno, L. E., Adhikari, A., Lammel, S., Mirzabekov, J. J., Airan, R. D., Zalocusky, K. A., et al. (2014) · Cell · doi:10.1016/j.cell.2014.05.017 · Cited by 1,389
Self-citationOptogenetics: 10 years of microbial opsins in neuroscience
Deisseroth, K. A. (2015) · Nature Neuroscience · doi:10.1038/nn.4091 · Cited by 1,335
Self-citationNeuron-type-specific signals for reward and punishment in the ventral tegmental area
Cohen, J. Y., Haesler, S., Vong, L., Lowell, B. B., & Uchida, N. (2012) · Nature · doi:10.1038/nature10754 · Cited by 1,318
Input-specific control of reward and aversion in the ventral tegmental area
Lammel, S., Lim, B. K., Ran, C., Huang, K. W., Betley, M. J., Tye, K. M., Deisseroth, K., & Malenka, R. C. (2012) · Nature · doi:10.1038/nature11527 · Cited by 1,300
Self-citationInjectable, Cellular-Scale Optoelectronics with Applications for Wireless Optogenetics
Kim, T.-I., McCall, J. G., Jung, Y. H., Huang, X., Siuda, E. R., Li, Y., Song, J., Song, Y. M., Pao, H. A., Kim, R.-H., et al. (2013) · Science · doi:10.1126/science.1232437 · Cited by 1,174
AGRP neurons are sufficient to orchestrate feeding behavior rapidly and without training
Aponte, Y., Atasoy, D., & Sternson, S. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2739 · Cited by 1,157
Rapid regulation of depression-related behaviours by control of midbrain dopamine neurons
Chaudhury, D., Walsh, J. J., Friedman, A. K., Juarez, B., Ku, S. M., Koo, J. W., Ferguson, D., Tsai, H.-C., Pomeranz, L., Christoffel, D. J., et al. (2013) · Nature · doi:10.1038/nature11713 · Cited by 1,156
Self-citationNeuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
Ventral tegmental area: cellular heterogeneity, connectivity and behaviour
Morales, M., & Margolis, E. B. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.165 · Cited by 1,108
Dopamine neurons modulate neural encoding and expression of depression-related behaviour
Tye, K. M., Mirzabekov, J. J., Warden, M. R., Ferenczi, E. A., Tsai, H.-C., Finkelstein, J., Kim, S.-Y., Adhikari, A., Thompson, K. R., Andalman, A. S., et al. (2013) · Nature · doi:10.1038/nature11740 · Cited by 1,073
Self-citationCircuit architecture of VTA dopamine neurons revealed by systematic input-output mapping
Beier, K. T., Steinberg, E. E., DeLoach, K. E., Xie, S., Miyamichi, K., Schwarz, L., Gao, X. J., Kremer, E. J., Malenka, R. C., & Luo, L. (2015) · Cell · doi:10.1016/j.cell.2015.07.015 · Cited by 1,068
Molecular and Cellular Approaches for Diversifying and Extending Optogenetics
Gradinaru, V., Zhang, F., Ramakrishnan, C., Mattis, J., Prakash, R., Diester, I., Goshen, I., Thompson, K. R., & Deisseroth, K. A. (2010) · Cell · doi:10.1016/j.cell.2010.02.037 · Cited by 1,040
Self-citationDopamine reward prediction-error signalling: A two-component response
Schultz, W. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.26 · Cited by 1,036
Tuning arousal with optogenetic modulation of locus coeruleus neurons
Carter, M. E., Yizhar, O., Chikahisa, S., Nguyen, H., Adamantidis, A., Nishino, S., Deisseroth, K., & de Lecea, L. (2010) · Nature Neuroscience · doi:10.1038/nn.2682 · Cited by 993
Self-citationA Comprehensive Overview on Stress Neurobiology: Basic Concepts and Clinical Implications
Godoy, L. D., Rossignoli, M. T., Delfino-Pereira, P., Garcia‐Cairasco, N., & Umeoka, E. H. D. L. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00127 · Cited by 991
A causal link between prediction errors, dopamine neurons and learning
Steinberg, E. E., Keiflin, R., Boivin, J. R., Witten, I. B., Deisseroth, K. A., & Janak, P. H. (2013) · Nature Neuroscience · doi:10.1038/nn.3413 · Cited by 932
Self-citationExcitatory transmission from the amygdala to nucleus accumbens facilitates reward seeking
Stuber, G. D., Sparta, D. R., Stamatakis, A. M., van Leeuwen, W. A., Hardjoprajitno, J. E., Cho, S., Tye, K. M., Kempadoo, K. A., Zhang, F., Deisseroth, K., et al. (2011) · Nature · doi:10.1038/nature10194 · Cited by 878
Self-citationStriatal Dopamine Release Is Triggered by Synchronized Activity in Cholinergic Interneurons
Threlfell, S., Lalic, T., Platt, N. J., Jennings, K. A., Deisseroth, K., & Cragg, S. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.038 · Cited by 845
Self-citationLocus coeruleus and dopaminergic consolidation of everyday memory
Takeuchi, T., Duszkiewicz, A. J., Sonneborn, A., Spooner, P. A., Yamasaki, M., Watanabe, M., Smith, C. C., Fernández, G., Deisseroth, K., Greene, R. W., et al. (2016) · Nature · doi:10.1038/nature19325 · Cited by 827
Self-citationReward and aversion in a heterogeneous midbrain dopamine system
Lammel, S., Lim, B. K., & Malenka, R. C. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.03.019 · Cited by 804
Remote control of ion channels and neurons through magnetic-field heating of nanoparticles
Huang, H. S., Delikanli, S., Zeng, H., Ferkey, D. M., & Pralle, A. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2010.125 · Cited by 781
Mattis, J., Tye, K. M., Ferenczi, E. A., Ramakrishnan, C., O'Shea, D. J., Prakash, R., Gunaydin, L. A., Hyun, M., Fenno, L. E., Gradinaru, V., et al. (2012) · Nature Methods · doi:10.1038/nmeth.1808 · Cited by 780
Self-citationA disinhibitory circuit mediates motor integration in the somatosensory cortex
Lee, S., Kruglikov, I., Huang, Z. J., Fishell, G., & Rudy, B. (2013) · Nature Neuroscience · doi:10.1038/nn.3544 · Cited by 758
Gunaydin, L. A., Yizhar, O., Berndt, A., Sohal, V. S., Deisseroth, K., & Hegemann, P. (2010) · Nature Neuroscience · doi:10.1038/nn.2495 · Cited by 757
Self-citationOptogenetic investigation of neural circuits underlying brain disease in animal models
Tye, K. M., & Deisseroth, K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3171 · Cited by 745
Self-citationFrom reinforcement learning models to psychiatric and neurological disorders
Maia, T. V., & Frank, M. J. (2011) · Nature Neuroscience · doi:10.1038/nn.2723 · Cited by 746
Neurons for hunger and thirst transmit a negative-valence teaching signal
Betley, J. N., Xu, S., Cao, Z. F. H., Gong, R., Magnus, C. J., Yu, Y., & Sternson, S. M. (2015) · Nature · doi:10.1038/nature14416 · Cited by 704
Optogenetic interrogation of neural circuits: technology for probing mammalian brain structures
Zhang, F., Gradinaru, V., Adamantidis, A. R., Durand, R., Airan, R. D., de Lecea, L., & Deisseroth, K. (2010) · Nature Protocols · doi:10.1038/nprot.2009.226 · Cited by 692
Self-citationWitten, I. B., Steinberg, E. E., Lee, S. Y., Davidson, T. J., Zalocusky, K. A., Brodsky, M., Yizhar, O., Cho, S. L., Gong, S., Ramakrishnan, C., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.028 · Cited by 680
Self-citationThe neural basis of reversal learning: An updated perspective
Izquierdo, A., Brigman, J. L., Radke, A. K., Rudebeck, P. H., & Holmes, A. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2016.03.021 · Cited by 670
Linking Molecules to Mood: New Insight Into the Biology of Depression
Krishnan, V., & Nestler, E. J. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.10030434 · Cited by 666
Zhao, S., Ting, J. T., Atallah, H. E., Qiu, L., Tan, J., Gloss, B., Augustine, G. J., Deisseroth, K., Luo, M., Graybiel, A. M., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1668 · Cited by 653
Self-citationDopamine signals for reward value and risk: basic and recent data
Schultz, W. (2010) · Behavioral and Brain Functions · doi:10.1186/1744-9081-6-24 · Cited by 653
Updating dopamine reward signals
Schultz, W. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.012 · Cited by 651
Kempadoo, K. A., Mosharov, E. V., Choi, S. J., Sulzer, D., & Kandel, E. R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616515114 · Cited by 647
Start/stop signals emerge in nigrostriatal circuits during sequence learning
Jin, X., & Costa, R. M. (2010) · Nature · doi:10.1038/nature09263 · Cited by 647
Activation of VTA GABA Neurons Disrupts Reward Consumption
van Zessen, R., Phillips, J. L., Budygin, E. A., & Stuber, G. D. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.016 · Cited by 646
Self-citationAntidepressant effect of optogenetic stimulation of the medial prefrontal cortex
Covington, H. E., Lobo, M. K., Maze, I., Vialou, V., Hyman, J. M., Zaman, S., LaPlant, Q., Mouzon, E., Ghose, S., Tamminga, C. A., et al. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1731-10.2010 · Cited by 621
Self-citationCerebellar modulation of the reward circuitry and social behavior
Carta, I., Chen, C. H., Schott, A. L., Dorizan, S., & Khodakhah, K. (2019) · Science · doi:10.1126/science.aav0581 · Cited by 601
Hikida, T., Kimura, K., Wada, N., Funabiki, K., & Nakanishi, S. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.011 · Cited by 592
Striatal circuits for reward learning and decision-making
Cox, J., & Witten, I. B. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0189-2 · Cited by 584
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K. A., Tsai, L., & Moore, C. I. (2010) · Nature Protocols · doi:10.1038/nprot.2009.228 · Cited by 559
Self-citationTargeting cells with single vectors using multiple-feature Boolean logic
Fenno, L. E., Mattis, J., Ramakrishnan, C., Hyun, M., Lee, S. Y., He, M., Tucciarone, J., Selimbeyoglu, A., Berndt, A., Grosenick, L., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2996 · Cited by 557
Self-citationAshok, A. H., Marques, T. R., Jauhar, S., Nour, M. M., Goodwin, G. M., Young, A. H., & Howes, O. D. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.16 · Cited by 546
Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons
Engelhard, B., Finkelstein, J., Cox, J., Fleming, W., Jang, H. J., Ornelas, S., Koay, S. A., Thiberge, S. Y., Daw, N. D., Tank, D. W., et al. (2019) · Nature · doi:10.1038/s41586-019-1261-9 · Cited by 544
Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior
Ferenczi, E. A., Zalocusky, K. A., Liston, C., Grosenick, L., Warden, M. R., Amatya, D., Katovich, K., Mehta, H., Patenaude, B., Ramakrishnan, C., et al. (2016) · Science · doi:10.1126/science.aac9698 · Cited by 535
Self-citationDopaminergic terminals in the nucleus accumbens but not the dorsal striatum corelease glutamate
Stuber, G. D., Hnasko, T. S., Britt, J. P., Edwards, R. H., & Bonci, A. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1754-10.2010 · Cited by 529
Self-citationJasinska, A. J., Stein, E. A., Kaiser, J., Naumer, M. J., & Yalachkov, Y. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.10.013 · Cited by 513
Posterior cingulate cortex: adapting behavior to a changing world
Pearson, J. M., Heilbronner, S. R., Barack, D. L., Hayden, B. Y., & Platt, M. L. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.02.002 · Cited by 504
Repeated cortico-striatal stimulation generates persistent OCD-like behavior
Ahmari, S. E., Spellman, T., Douglass, N. L., Kheirbek, M. A., Simpson, H. B., Deisseroth, K., Gordon, J. A., & Hen, R. (2013) · Science · doi:10.1126/science.1234733 · Cited by 502
Self-citationWireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics
Jeong, J., McCall, J. G., Shin, G., Zhang, Y., Al‐Hasani, R., Kim, M. K., Li, S., Sim, J. Y., Jang, K., Shi, Y., et al. (2015) · Cell · doi:10.1016/j.cell.2015.06.058 · Cited by 501
Electrophysiology in the age of light
Scanziani, M., & Häusser, M. (2009) · Nature · doi:10.1038/nature08540 · Cited by 498
Tripp, G., & Wickens, J. R. (2009) · Neuropharmacology · doi:10.1016/j.neuropharm.2009.07.026 · Cited by 492
Heterogeneity and Diversity of Striatal GABAergic Interneurons
Tepper, J. M., Tecuapetla, F., Koós, T. Z., & Ibáñez-Sandoval, O. (2010) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2010.00150 · Cited by 490
Dopaminergic neurons promote hippocampal reactivation and spatial memory persistence
McNamara, C. G., Tejero-Cantero, Á., Trouche, S., Campo-Urriza, N., & Dupret, D. (2014) · Nature Neuroscience · doi:10.1038/nn.3843 · Cited by 486
Enhancing depression mechanisms in midbrain dopamine neurons achieves homeostatic resilience
Friedman, A. K., Walsh, J. J., Juarez, B., Ku, S. M., Chaudhury, D., Wang, J., Li, X., Dietz, D. M., Pan, N., Vialou, V. F., et al. (2014) · Science · doi:10.1126/science.1249240 · Cited by 484
Cholinergic Interneurons Control Local Circuit Activity and Cocaine Conditioning
Witten, I. B., Lin, S.-C., Brodsky, M., Prakash, R., Diester, I., Anikeeva, P., Gradinaru, V., Ramakrishnan, C., & Deisseroth, K. (2010) · Science · doi:10.1126/science.1193771 · Cited by 467
Self-citationA neoHebbian framework for episodic memory; role of dopamine-dependent late LTP
Lisman, J., Grace, A. A., & Duzel, E. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.07.006 · Cited by 465
Serotonin and dopamine: unifying affective, activational, and decision functions.
Cools, R., Nakamura, K., & Daw, N. D. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.121 · Cited by 464
Optogenetic identification of a rapid eye movement sleep modulatory circuit in the hypothalamus
Jego, S., Glasgow, S. D., Herrera, C. G., Ekstrand, M. I., Reed, S. J., Boyce, R., Friedman, J. M., Burdakov, D., & Adamantidis, A. (2013) · Nature Neuroscience · doi:10.1038/nn.3522 · Cited by 457
Self-citationOpponency revisited: competition and cooperation between dopamine and serotonin
Boureau, Y.-L., & Dayan, P. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.151 · Cited by 456
Brain circuit dysfunction in post-traumatic stress disorder: from mouse to man
Fenster, R. J., Lebois, L. A. M., Ressler, K. J., & Suh, J. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0039-7 · Cited by 456
Are you or aren’t you? Challenges associated with physiologically identifying dopamine neurons
Ungless, M. A., & Grace, A. A. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.02.003 · Cited by 450
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
Frémaux, N., & Wulfram Gerstner, B. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00085 · Cited by 449
An optogenetic toolbox designed for primates
Diester, I., Kaufman, M. T., Mogri, M., Pashaie, R., Goo, W., Yizhar, O., Ramakrishnan, C., Deisseroth, K., & Shenoy, K. V. (2011) · Nature Neuroscience · doi:10.1038/nn.2749 · Cited by 443
Self-citationNeural Circuitry of Reward Prediction Error
Watabe-Uchida, M., Eshel, N., & Uchida, N. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031109 · Cited by 437
Influence of Phasic and Tonic Dopamine Release on Receptor Activation
Dreyer, J. K., Herrik, K. F., Berg, R. W., & Hounsgaard, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1894-10.2010 · Cited by 434
Fields, H. L., & Margolis, E. B. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.01.002 · Cited by 432
Overlapping Brain Circuits for Homeostatic and Hedonic Feeding
Rossi, M. A., & Stuber, G. D. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2017.09.021 · Cited by 415
Self-citationDorsal raphe dopamine neurons represent the experience of social isolation
Matthews, G. A., Nieh, E. H., Vander Weele, C. M., Halbert, S. A., Pradhan, R. V., Yosafat, A. S., Glober, G. F., Izadmehr, E. M., Thomas, R. E., Lacy, G. D., et al. (2016) · Cell · doi:10.1016/j.cell.2015.12.040 · Cited by 402
Learning and cognitive flexibility: frontostriatal function and monoaminergic modulation
Kehagia, A. A., Murray, G. K., & Robbins, T. W. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.01.007 · Cited by 398
Dopamine Prediction Errors in Reward Learning and Addiction: From Theory to Neural Circuitry
Keiflin, R., & Janak, P. H. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.037 · Cited by 401
Shin, G., Gomez, A. M., Al-Hasani, R., Jeong, Y. R., Kim, J., Xie, Z., Banks, A., Lee, S. M., Han, S. Y., Yoo, C. J., et al. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.031 · Cited by 396
Closed-Loop and Activity-Guided Optogenetic Control
Grosenick, L., Marshel, J. H., & Deisseroth, K. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.034 · Cited by 399
Self-citationDissecting the diversity of midbrain dopamine neurons
Roeper, J. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.03.003 · Cited by 395
Construction of implantable optical fibers for long-term optogenetic manipulation of neural circuits
Sparta, D. R., Stamatakis, A. M., Phillips, J. L., Hovelsø, N., van Zessen, R., & Stuber, G. D. (2012) · Nature Protocols · doi:10.1038/nprot.2011.413 · Cited by 394
Self-citationDopamine neurons create Pavlovian conditioned stimuli with circuit-defined motivational properties
Saunders, B. T., Richard, J. M., Margolis, E. B., & Janak, P. H. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0191-4 · Cited by 393
Oakman, S., Faris, P. L., Kerr, P., Cozzari, C., & Hartman, B. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-09-05859.1995 · Cited by 392
Dopamine neurons projecting to the posterior striatum reinforce avoidance of threatening stimuli
Menegas, W., Akiti, K., Amo, R., Uchida, N., & Watabe‐Uchida, M. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0222-1 · Cited by 392
Optetrode: a multichannel readout for optogenetic control in freely moving mice
Anikeeva, P., Andalman, A. S., Witten, I. B., Warden, M. R., Goshen, I., Grosenick, L., Gunaydin, L. A., Frank, L. M., & Deisseroth, K. A. (2011) · Nature Neuroscience · doi:10.1038/nn.2992 · Cited by 389
Self-citationThe ubiquity of model-based reinforcement learning
Doll, B. B., Simon, D. A., & Daw, N. D. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.08.003 · Cited by 380
Animal models of major depression and their clinical implications
Czéh, B., Fuchs, E., Wiborg, O., & Simon, M. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.04.004 · Cited by 375
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 374
GABA/glutamate co-release controls habenula output and is modified by antidepressant treatment
Shabel, S. J., Proulx, C. D., Piriz, J., & Malinow, R. (2014) · Science · doi:10.1126/science.1250469 · Cited by 369
Illuminating cell signalling with optogenetic tools
Tischer, D., & Weiner, O. D. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3837 · Cited by 369
Anhedonia requires MC4R-mediated synaptic adaptations in nucleus accumbens
Lim, B. K., Huang, K. W., Grueter, B. A., Rothwell, P. E., & Malenka, R. C. (2012) · Nature · doi:10.1038/nature11160 · Cited by 368
Stamatakis, A. M., Jennings, J. H., Ung, R. L., Blair, G. A., Weinberg, R. J., Neve, R. L., Boyce, F., Mattis, J., Ramakrishnan, C., Deisseroth, K., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.023 · Cited by 364
Self-citationDiversity of Transgenic Mouse Models for Selective Targeting of Midbrain Dopamine Neurons
Lammel, S., Steinberg, E. E., Földy, C., Wall, N. R., Beier, K. T., Luo, L., & Malenka, R. C. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.036 · Cited by 359
Adamantidis, A. R., Tsai, H.-C., Boutrel, B., Zhang, F., Stuber, G. D., Budygin, E. A., Tourino, C., Bonci, A., Deisseroth, K., & de Lecea, L. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2246-11.2011 · Cited by 357
Self-citationReward and choice encoding in terminals of midbrain dopamine neurons depends on striatal target
Parker, N. F., Cameron, C. M., Taliaferro, J. P., Lee, J., Choi, J. Y., Davidson, T. J., Daw, N. D., & Witten, I. B. (2016) · Nature Neuroscience · doi:10.1038/nn.4287 · Cited by 348
Three Pillars for the Neural Control of Appetite
Sternson, S. M., & Eiselt, A.-K. (2016) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-104948 · Cited by 345
Remote Control of Neuronal Signaling
Rogan, S. C., & Roth, B. L. (2011) · Pharmacological Reviews · doi:10.1124/pr.110.003020 · Cited by 339
Barch, D. M., Treadway, M. T., & Schoen, N. (2014) · Journal of Abnormal Psychology · doi:10.1037/a0036299 · Cited by 323
Hormonal gain control of a medial preoptic area social reward circuit
McHenry, J. A., Otis, J. M., Rossi, M. A., Robinson, J. E., Kosyk, O., Miller, N. W., McElligott, Z. A., Budygin, E. A., Rubinow, D. R., & Stuber, G. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4487 · Cited by 317
Self-citationSufficiency of Mesolimbic Dopamine Neuron Stimulation for the Progression to Addiction
Pascoli, V., Terrier, J. E., Hiver, A., & Lüscher, C. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.017 · Cited by 317
Metadata
- Authors
- Tsai, H.-C., Zhang, F., Adamantidis, A., Stuber, G. D., Bonci, A., de Lecea, L., & Deisseroth, K.
- Affiliations
- Stanford University (US)
- University of California, San Francisco (US)
- Department of Psychiatry and Behavioral Sciences, W083 Clark Center, 318 Campus Drive West, Stanford University, Stanford, CA 94305, USA.
- Corresponding author
- Tsai, Hsing-Chen
- Zhang, Feng
- Deisseroth, Karl
- ORCID
- Venue
- Science
- Published
- 2009-05-22
- Volume
- 324
- Issue
- 5930
- Pages
- 1080-1084
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC5262197
- OpenAlex
- W1980737345
- Cited by
- 1,266
- References
- 28
- Citations by year
- 2026: 31 · 2025: 53 · 2024: 63 · 2023: 51 · 2022: 68 · 2021: 58 · 2020: 74 · 2019: 68 · 2018: 74 · 2017: 92 · 2016: 90 · 2015: 99 · 2014: 105 · 2013: 87 · 2012: 82
- FWCI
- 34.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Bern Open Repository and Information System (University of Bern) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH087592)
- National Institute on Drug Abuse (R01DA021880)
- National Institute of Neurological Disorders and Stroke (K99NS065009)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- phasic firing, dopaminergic neurons, ventral tegmental area, behavioral conditioning, optogenetic stimulation, natural reward, drugs of abuse
- MeSH terms
- Channelrhodopsins, Action Potentials, Animals, Behavior, Animal, Conditioning, Psychological, Dopamine, Electrodes, Implanted, Genetic Vectors, Light, Mice, Transgenic, Neurons, Reward, Transduction, Genetic, Ventral Tegmental Area, Patch-Clamp Techniques, Mice
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