The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Expectation Modulates Neural Responses to Pleasant and Aversive Stimuli in Primate Amygdala
Open accessAbstract
Animals and humans learn to approach and acquire pleasant stimuli and to avoid or defend against aversive ones. However, both pleasant and aversive stimuli can elicit arousal and attention, and their salience or intensity increases when they occur by surprise. Thus, adaptive behavior may require that neural circuits compute both stimulus valence--or value--and intensity. To explore how these computations may be implemented, we examined neural responses in the primate amygdala to unexpected reinforcement during learning. Many amygdala neurons responded differently to reinforcement depending upon whether or not it was expected. In some neurons, this modulation occurred only for rewards or aversive stimuli, but not both. In other neurons, expectation similarly modulated responses to both rewards and punishments. These different neuronal populations may subserve two sorts of processes mediated by the amygdala: those activated by surprising reinforcements of both valences-such as enhanced arousal and attention-and those that are valence-specific, such as fear or reward-seeking behavior.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“These findings suggest that OT modulates context-specific processing associated with both negative and positive valence in the amygdala, consistent with the encoding of both positive and negative motivational values by the primate amygdala neurons (Belova et al., 2007; Paton et al., 2006).”
From Oxytocin and social cognition in rhesus macaques: Implications for understanding and treating human psychopathology (2014) · cites this paper as Belova et al., 2007
In the citing paper
“In addition to being essential for aversively motivated learning, plasticity in the LA is also required for several forms of appetitively motivated learning (43–45) and a number of studies have found that separate populations of amygdala neurons mediate aversive and appetitive processing (46–48).”
From Optical activation of lateral amygdala pyramidal cells instructs associative fear learning (2010) · cites this paper as [48]
Citations
Cites
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334
(1966) · Medical Entomology and Zoology · Cited by 10,293
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Signal detection theory and psychophysics
Ingleby, D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,616
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268
Classical conditioning II: Current research and theory.
Black, A. H., & Prokasy, W. F. (1972) · Appleton-Century-Crofts eBooks · Cited by 4,449
Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior
Phelps, E. A., & LeDoux, J. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.025 · Cited by 3,203 · cited 2×
“…to support processes such as attention, attention-based learning, arousal, and the enhancement of memory formation, all of which have been shown to involve the amygdala (Holland and Gallagher, 1999, 2006; Kensinger and Corkin, 2004; McGaugh, 2004; Oya et al., 2005; Phelps and LeDoux, 2005).”
Pearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023
A theory of attention: Variations in the associability of stimuli with reinforcement
Mackintosh, N. J. (1975) · Psychological Review · doi:10.1037/h0076778 · Cited by 2,733
Cited by
Sorted by citations
Thayer, J. F., Åhs, F., Fredrikson, M., Sollers, J. J., & Wager, T. D. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.11.009 · Cited by 3,224
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
From circuits to behaviour in the amygdala
Janak, P. H., & Tye, K. M. (2015) · Nature · doi:10.1038/nature14188 · Cited by 2,011
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
Rethinking the Emotional Brain
LeDoux, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.004 · Cited by 1,594
“…recording studies in primates show that appetitive and aversive signals are processed by distinct neuronal populations of cells in the lateral/ basal amygdala (Paton et al., 2006; Belova et al., 2007; Belova et al., 2008; Morrison and Salzman, 2010; Ono and Nishijo, 1992; Rolls, 1992, 1999, 2005).”
Neuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
The 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
Reinforcement learning: The Good, The Bad and The Ugly
Dayan, P., & Niv, Y. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.08.003 · Cited by 733
Gremel, C. M., & Costa, R. M. (2013) · Nature Communications · doi:10.1038/ncomms3264 · Cited by 618
Doya, K. (2008) · Nature Neuroscience · doi:10.1038/nn2077 · Cited by 642
A review of adversity, the amygdala and the hippocampus: a consideration of developmental timing
Tottenham, N. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.068.2009 · Cited by 651
Dopamine reward prediction error coding
Schultz, W. (2016) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2016.18.1/wschultz · Cited by 597
Start/stop signals emerge in nigrostriatal circuits during sequence learning
Jin, X., & Costa, R. M. (2010) · Nature · doi:10.1038/nature09263 · Cited by 647
Anxiety Cells in a Hippocampal-Hypothalamic Circuit
Jimenez, J., Su, K., Goldberg, A., Luna, V. M., Biane, J. S., Ordek, G., Zhou, P., Ong, S. K., Wright, M. A., Zweifel, L. S., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.016 · Cited by 633
Emotion, Cognition, and Mental State Representation in Amygdala and Prefrontal Cortex
Salzman, C. D., & Fusi, S. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135256 · Cited by 628
Self-citationA new perspective on the role of the orbitofrontal cortex in adaptive behaviour
Schoenbaum, G., Roesch, M. R., Stalnaker, T. A., & Takahashi, Y. K. (2009) · Nature reviews. Neuroscience · doi:10.1038/nrn2753 · Cited by 585
Representation of negative motivational value in the primate lateral habenula
Matsumoto, M., & Hikosaka, O. (2009) · Nature Neuroscience · doi:10.1038/nn.2233 · Cited by 547
Basal ganglia subcircuits distinctively encode the parsing and concatenation of action sequences
Jin, X., Tecuapetla, F., & Costa, R. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3632 · Cited by 488
Ambroggi, F., Ishikawa, A., Fields, H. L., & Nicola, S. M. (2008) · Neuron · doi:10.1016/j.neuron.2008.07.004 · Cited by 523
Encoding of fear learning and memory in distributed neuronal circuits
Herry, C., & Johansen, J. P. (2014) · Nature Neuroscience · doi:10.1038/nn.3869 · Cited by 474
From Fear to Safety and Back: Reversal of Fear in the Human Brain
Schiller, D., Levy, I., Niv, Y., LeDoux, J. E., & Phelps, E. A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2265-08.2008 · Cited by 429
Toward a neurobiology of delusions
Corlett, P. R., Taylor, J. R., Wang, X.-J., Fletcher, P. C., & Krystal, J. H. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.06.007 · Cited by 394
Emotion and cognition and the amygdala: From “what is it?” to “what's to be done?”
Pessoa, L. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.06.038 · Cited by 403
Hayden, B. Y., Heilbronner, S. R., Pearson, J. M., & Platt, M. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4652-10.2011 · Cited by 379
Distinct Roles of Rodent Orbitofrontal and Medial Prefrontal Cortex in Decision Making
Sul, J. H., Kim, H., Huh, N., Lee, D., & Jung, M. W. (2010) · Neuron · doi:10.1016/j.neuron.2010.03.033 · Cited by 378
Differential roles of human striatum and amygdala in associative learning
Li, J., Schiller, D., Schoenbaum, G. M., Phelps, E. A., & Daw, N. D. (2011) · Nature Neuroscience · doi:10.1038/nn.2904 · Cited by 364
Neural ensemble dynamics underlying a long-term associative memory
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., et al. (2017) · Nature · doi:10.1038/nature21682 · Cited by 351
Dialogues on prediction errors
Niv, Y., & Schoenbaum, G. M. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.03.006 · Cited by 377
The role of the striatum in aversive learning and aversive prediction errors
Delgado, M. R., Li, J., Schiller, D., & Phelps, E. A. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0161 · Cited by 328
Morrison, S. E., & Salzman, C. D. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.007 · Cited by 354
Self-citationLocus coeruleus to basolateral amygdala noradrenergic projections promote anxiety-like behavior
McCall, J. G., Siuda, E. R., Bhatti, D. L., Lawson, L. A., McElligott, Z. A., Stuber, G. D., & Bruchas, M. R. (2017) · eLife · doi:10.7554/elife.18247 · Cited by 342
Emotion, decision making, and the amygdala.
Seymour, B., & Dolan, R. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.020 · Cited by 324
Neural substrates for expectation-modulated fear learning in the amygdala and periaqueductal gray
Johansen, J. P., Tarpley, J. W., LeDoux, J. E., & Blair, H. T. (2010) · Nature Neuroscience · doi:10.1038/nn.2594 · Cited by 312
The basolateral amygdala in reward learning and addiction
Wassum, K. M., & Izquierdo, A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.017 · Cited by 306
Optical activation of lateral amygdala pyramidal cells instructs associative fear learning
Johansen, J. P., Hamanaka, H., Monfils, M. H., Behnia, R., Deisseroth, K., Blair, H. T., & LeDoux, J. E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002418107 · Cited by 308
Orbitofrontal Cortex: A Neural Circuit for Economic Decisions
Padoa‐Schioppa, C., & Conen, K. E. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.031 · Cited by 310
Placing prediction into the fear circuit
McNally, G. P., Johansen, J. P., & Blair, H. T. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.03.005 · Cited by 298
Admon, R., Milad, M. R., & Hendler, T. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.05.005 · Cited by 284
Testing the Reward Prediction Error Hypothesis with an Axiomatic Model
Rutledge, R. B., Dean, M., Caplin, A., & Glimcher, P. W. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1747-10.2010 · Cited by 244
Gore, F., Schwartz, E. C., Brangers, B. C., Aladi, S., Stujenske, J. M., Likhtik, E., Russo, M. J., Gordon, J. A., Salzman, C. D., & Axel, R. (2015) · Cell · doi:10.1016/j.cell.2015.06.027 · Cited by 276
Self-citationAmygdala Inhibitory Circuits Regulate Associative Fear Conditioning
Krabbe, S., Gründemann, J., & Lüthi, A. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.006 · Cited by 268
Fundamental contribution by the basolateral amygdala to different forms of decision making
Ghods-Sharifi, S., St. Onge, J. R., & Floresco, S. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.0315-09.2009 · Cited by 257
Uncertainty during anticipation modulates neural responses to aversion in human insula and amygdala
Sarinopoulos, I., Grupe, D. W., Mackiewicz, K. L., Herrington, J. D., Lor, M., Steege, E. E., & Nitschke, J. B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp155 · Cited by 241
Basolateral amygdala and stress-induced hyperexcitability affect motivated behaviors and addiction
Sharp, B. M. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.161 · Cited by 244
Expectancies as core features of mental disorders
Rief, W., Glombiewski, J. A., Gollwitzer, M., Schubö, A., Schwarting, R. K. W., & Thorwart, A. (2015) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000184 · Cited by 235
Amygdala ensembles encode behavioral states
Gründemann, J., Bitterman, Y., Lu, T., Krabbe, S., Grewe, B. F., Schnitzer, M. J., & Lüthi, A. (2019) · Science · doi:10.1126/science.aav8736 · Cited by 234
Moment-to-moment tracking of state value in the amygdala
Belova, M. A., Paton, J. J., & Salzman, C. D. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1400-08.2008 · Cited by 221
Self-citationIntegration of Parallel Opposing Memories Underlies Memory Extinction
Felsenberg, J., Jacob, P. F., Walker, T., Barnstedt, O., Edmondson-Stait, A. J., Pleijzier, M. W., Otto, N., Schlegel, P., Sharifi, N., Perisse, E., et al. (2018) · Cell · doi:10.1016/j.cell.2018.08.021 · Cited by 247
The convergence of information about rewarding and aversive stimuli in single neurons
Morrison, S. E., & Salzman, C. D. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1815-09.2009 · Cited by 206
Self-citationSomerville, L. H., Wagner, D. D., Wig, G. S., Moran, J. M., Whalen, P. J., & Kelley, W. M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhr373 · Cited by 196
Surprise! Neural correlates of Pearce–Hall and Rescorla–Wagner coexist within the brain
Roesch, M. R., Esber, G. R., Li, J., Daw, N. D., & Schoenbaum, G. M. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07986.x · Cited by 208
Coherent gamma oscillations couple the amygdala and striatum during learning
Popescu, A. T., Popa, D., & Paré, D. (2009) · Nature Neuroscience · doi:10.1038/nn.2305 · Cited by 187
Functional dissociation of stimulus intensity encoding and predictive coding of pain in the insula
Geuter, S., Boll, S., Eippert, F., & Büchel, C. (2017) · eLife · doi:10.7554/elife.24770 · Cited by 184
Hebbian and neuromodulatory mechanisms interact to trigger associative memory formation
Johansen, J. P., Díaz-Mataix, L., Hamanaka, H., Ozawa, T., Ycu, E. A., Koivumaa, J., Kumar, A., Hou, M., Deisseroth, K. A., Boyden, E. S., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421304111 · Cited by 179
Motivational neural circuits underlying reinforcement learning
Averbeck, B. B., & Costa, V. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4506 · Cited by 181
Neuronal Ensemble Bursting in the Basal Forebrain Encodes Salience Irrespective of Valence
Lin, S., & Nicolelis, M. A. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.031 · Cited by 169
The fate of memory: Reconsolidation and the case of Prediction Error
Fernández, R. S., Boccia, M. M., & Pedreira, M. E. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.004 · Cited by 189
The central amygdala controls learning in the lateral amygdala
Yu, K., Ahrens, S., Zhang, X., Schiff, H. C., Ramakrishnan, C., Fenno, L. E., Deisseroth, K. A., Zhao, F., Luo, M., Gong, L., et al. (2017) · Nature Neuroscience · doi:10.1038/s41593-017-0009-9 · Cited by 185
Nestor, L. J., McCabe, E., Jones, J. L., Clancy, L., & Garavan, H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.054 · Cited by 178
Detection of a Temporal Error Triggers Reconsolidation of Amygdala-Dependent Memories
Díaz-Mataix, L., Martinez, R. C. R., Schafe, G. E., LeDoux, J. E., & Doyère, V. (2013) · Current Biology · doi:10.1016/j.cub.2013.01.053 · Cited by 168
Effects of early life stress on amygdala and striatal development
Fareri, D. S., & Tottenham, N. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.04.005 · Cited by 177
Inhibition of Fear by Learned Safety Signals: A Mini-Symposium Review
Christianson, J. P., Fernando, A. B. P., Kazama, A. M., Jovanović, T., Ostroff, L. E., & Sangha, S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3340-12.2012 · Cited by 178
Adaptive disinhibitory gating by VIP interneurons permits associative learning
Krabbe, S., Paradiso, E., d‘Aquin, S., Bitterman, Y., Courtin, J., Xu, C., Yonehara, K., Marković, M., Müller, C. R., Eichlisberger, T., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0508-y · Cited by 171
Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions
Heffley, W., Song, E. Y., Xu, Z., Taylor, B. N., Hughes, M. A., McKinney, A., Joshua, M., & Hull, C. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0228-8 · Cited by 164
Chau, B. K. H., Sallet, J., Papageorgiou, G. K., Noonan, M. P., Bell, A. H., Walton, M. E., & Rushworth, M. F. S. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.018 · Cited by 159
Animal affect and decision-making
Mendl, M., & Paul, E. S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.025 · Cited by 171
Effects of Cue-Triggered Expectation on Cortical Processing of Taste
Samuelsen, C. L., Gardner, M., & Fontanini, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.031 · Cited by 156
Human amygdala development in the absence of species‐expected caregiving
Tottenham, N. (2012) · Developmental Psychobiology · doi:10.1002/dev.20531 · Cited by 149
Neural Correlates of Variations in Event Processing during Learning in Basolateral Amygdala
Roesch, M. R., Calu, D. J., Esber, G. R., & Schoenbaum, G. M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5781-09.2010 · Cited by 151
Meta-analysis of human prediction error for incentives, perception, cognition, and action
Corlett, P. R., Mollick, J. A., & Kober, H. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01264-3 · Cited by 135
Attention for Learning Signals in Anterior Cingulate Cortex
Bryden, D. W., Johnson, E. E., Tobia, S. C., Kashtelyan, V., & Roesch, M. R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4715-11.2011 · Cited by 159
New insights on the subcortical representation of reward
Hikosaka, O., Bromberg-Martin, E. S., Hong, S., & Matsumoto, M. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.07.002 · Cited by 149
Basolateral amygdala circuitry in positive and negative valence
O’Neill, P.-K., Gore, F., & Salzman, C. D. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.02.012 · Cited by 141
Self-citationArchitectural Representation of Valence in the Limbic System
Namburi, P., Al‐Hasani, R., Calhoon, G. G., Bruchas, M. R., & Tye, K. M. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.358 · Cited by 148
Population coding of valence in the basolateral amygdala
Zhang, X., & Li, B. (2018) · Nature Communications · doi:10.1038/s41467-018-07679-9 · Cited by 147
Distinct Subtypes of Basolateral Amygdala Taste Neurons Reflect Palatability and Reward
Fontanini, A., Grossman, S. E., Figueroa, J. A., & Katz, D. B. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3898-08.2009 · Cited by 126
A feedback neural circuit for calibrating aversive memory strength
Ozawa, T., Ycu, E. A., Kumar, A., Yeh, L.-F., Ahmed, T., Koivumaa, J., & Johansen, J. P. (2016) · Nature Neuroscience · doi:10.1038/nn.4439 · Cited by 129
Orsini, C. A., Trotta, R. T., Bizon, J. L., & Setlow, B. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3586-14.2015 · Cited by 122
Different Time Courses for Learning-Related Changes in Amygdala and Orbitofrontal Cortex
Morrison, S. E., Saez, A., Lau, B., & Salzman, C. D. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.016 · Cited by 125
Self-citationFunctional Connectivity between Amygdala and Cingulate Cortex for Adaptive Aversive Learning
Klavir, O., Genud-Gabai, R., & Paz, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.035 · Cited by 128
Hosking, J. G., Cocker, P. J., & Winstanley, C. A. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.27 · Cited by 119
Cho, Y. T., Ernst, M., & Fudge, J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0170-13.2013 · Cited by 110
The bivalent side of the nucleus accumbens
Levita, L., Hare, T. A., Voss, H. U., Glover, G., Ballon, D. J., & Casey, B. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.039 · Cited by 117
The role of the amygdala in the perception of positive emotions: an “intensity detector”
Bonnet, L., Comte, A., Tatu, L., Millot, J., Moulin, T., & de Bustos, E. M. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00178 · Cited by 130
The primate amygdala combines information about space and value
Peck, C. J., Lau, B., & Salzman, C. D. (2013) · Nature Neuroscience · doi:10.1038/nn.3328 · Cited by 115
Self-citationThe amygdala: securing pleasure and avoiding pain
Fernando, A. B. P., Murray, J. E., & Milton, A. L. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00190 · Cited by 119
Cortico-Limbic Interactions Mediate Adaptive and Maladaptive Responses Relevant to Psychopathology
Kovner, R., Oler, J. A., & Kalin, N. H. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19101064 · Cited by 111
The role of the dorsal raphé nucleus in reward-seeking behavior
Nakamura, K. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00060 · Cited by 114
Neural mechanisms of acquired phasic dopamine responses in learning
Hazy, T. E., Frank, M. J., & O’Reilly, R. C. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.11.019 · Cited by 107
Value Encoding in Single Neurons in the Human Amygdala during Decision Making
Jenison, R. L., Rangel, A., Oya, H., Kawasaki, H., & Howard, M. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4461-10.2011 · Cited by 107
Neural computations of threat in the aftermath of combat trauma
Homan, P., Levy, I., Feltham, E. M., Gordon, C., Hu, J., Li, J., Pietrzak, R. H., Southwick, S. M., Krystal, J. H., Harpaz‐Rotem, I., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0315-x · Cited by 109
The amygdala response to images with impact
Ewbank, M., Barnard, P. J., Croucher, C. J., Ramponi, C., & Calder, A. J. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsn048 · Cited by 106
Nucleus accumbens neurons encode predicted and ongoing reward costs in rats
Day, J. J., Jones, J. L., & Carelli, R. M. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07531.x · Cited by 104
Levy, I., & Schiller, D. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.11.007 · Cited by 95
A comparison of neural responses to appetitive and aversive stimuli in humans and other mammals
Hayes, D. J., Duncan, N. W., Xu, J., & Northoff, G. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.06.018 · Cited by 102
Prefrontal Norepinephrine Determines Attribution of “High” Motivational Salience
Ventura, R., Latagliata, E. C., Morrone, C., Mela, I. L., & Puglisi‐Allegra, S. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003044 · Cited by 94
Response characteristics of basolateral and centromedial neurons in the primate amygdala
Mosher, C. P., Zimmerman, P. E., & Gothard, K. M. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3225-10.2010 · Cited by 92
“In monkeys, Belova et al. (2007) have shown that fix-spot responses can be regarded as the earliest predictors of reward.”
BackgroundBoll, S., Gamer, M., Gluth, S., Finsterbusch, J., & Büchel, C. (2012) · European Journal of Neuroscience · doi:10.1111/ejn.12094 · Cited by 98
Reward Magnitude Coding in Primate Amygdala Neurons
Bermúdez, M. A., & Schultz, W. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00540.2010 · Cited by 88
The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning
Nasser, H. M., Calu, D. J., Schoenbaum, G. M., & Sharpe, M. J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00244 · Cited by 97
Metadata
- Authors
- Belova, M. A., Paton, J. J., Morrison, S. E., & Salzman, C. D.
- Affiliations
- Columbia University (US)
- New York State Psychiatric Institute (US)
- Corresponding author
- Salzman, C. Daniel
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2007-09
- Volume
- 55
- Issue
- 6
- Pages
- 970-984
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC2042139
- OpenAlex
- W2133622401
- Cited by
- 349
- References
- 65
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 10 · 2023: 15 · 2022: 11 · 2021: 17 · 2020: 15 · 2019: 18 · 2018: 16 · 2017: 28 · 2016: 17 · 2015: 32 · 2014: 22 · 2013: 23 · 2012: 29
- FWCI
- 10.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 2146 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Alliance for Research on Schizophrenia and Depression
- National Institute on Drug Abuse
- National Eye Institute
- National Science Foundation
- National Institute of Mental Health
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- amygdala, expectations, surprise, reinforcement learning, reward, punishment, aversive stimuli, stimulus valence, stimulus intensity, arousal, attention, fear, reward seeking
- MeSH terms
- Amygdala, Animals, Arousal, Data Interpretation, Statistical, Learning, Macaca mulatta, Neurons, Psychomotor Performance, Reinforcement, Psychology, ROC Curve, Excitatory Postsynaptic Potentials
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