The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Parallel incentive processing: an integrated view of amygdala function
Abstract
The amygdala is a heterogeneous structure that has been implicated in a wide variety of functions, most notably in fear conditioning. From this research, an influential serial model of amygdala processes has emerged in which aversive learning is mediated by the amygdala basolateral nucleus whereas performance, in this case of various defensive reflexes, is mediated by the central nucleus. By contrast, recent evidence from appetitive conditioning studies suggests that the basolateral and central nuclei operate in parallel to mediate distinct incentive processes: the basolateral nucleus encodes emotional events with reference to their particular sensory-specific features, whereas the central nucleus encodes their more general motivational or affective significance. Given that there is little if any direct behavioral evidence for the serial model, we suggest that more attention should be given to the claims of the parallel view.
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“In particular, given its access to primary sensory information, the CeA could orchestrate appropriate behavioral responses to salient stimuli with different valences [88,93].”
From Oxytocin Signaling in the Central Amygdala Modulates Emotion Discrimination in Mice (2019) · cites this paper as [88]
In the citing paper
“The data support a parallel model53 whereby, via distinct outputs to the DMS, the amygdala actively gates the nature of learning to regulate the balance of behavioral control strategies.”
From A dual-pathway architecture for stress to disrupt agency and promote habit (2025) · cites this paper as [53]
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Cites
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
THE AMYGDALA MODULATES THE CONSOLIDATION OF MEMORIES OF EMOTIONALLY AROUSING EXPERIENCES
McGaugh, J. L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144157 · Cited by 2,296
Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex
Cardinal, R. N., Parkinson, J. A., Hall, J., & Everitt, B. J. (2002) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(02)00007-6 · Cited by 2,129
Integrative activity of the brain
Konorski, J. (1967) · Cited by 1,372
Swanson, L. W., & Petrovich, G. D. (1998) · Trends in Neurosciences · doi:10.1016/s0166-2236(98)01265-x · Cited by 1,351
Yin, H. H., Knowlton, B. J., & Balleine, B. W. (2004) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2004.03095.x · Cited by 1,226
Self-citationMotivational control of goal-directed action
Dickinson, A., & Balleine, B. (1994) · Animal Learning & Behavior · doi:10.3758/bf03199951 · Cited by 995
Self-citationThe Amygdala: a functional analysis
Aggleton, J. P. (2000) · Cited by 966
Reward, Motivation, and Reinforcement Learning
Dayan, P., & Balleine, B. W. (2002) · Neuron · doi:10.1016/s0896-6273(02)00963-7 · Cited by 855
Self-citationCerebral hemisphere regulation of motivated behavior
Swanson, L. W. (2000) · Brain Research · doi:10.1016/s0006-8993(00)02905-x · Cited by 846
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Fermani, F., Chang, S., Peters, C., Gaitanos, L., Morales, P. L. A., Ramakrishnan, C., Deisseroth, K. A., & Klein, R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.22.600182
Retrodictive Evidence for the Structure of Memory EngramPreprint
Vadakkan, K. I. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5072253
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Riffault, C., Bitterman, Y., Müller, S., Lüthi, A., & Courtin, J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.13.632684 · Cited by 1
Motivational control of habits: A preregistered fMRI study
Eder, A. B., Mitschke, V., Leibold, F., Dignath, D., & Gamer, M. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.100
Neurobiology of Ingestive Behavior
Howe, W. M., & DiFeliceantonio, A. G. (2025) · Oxford University Press eBooks · doi:10.1093/9780197675212.003.0003
Hwang, J., Noble, P. L., Baldwin, M. K. L., & Murray, E. A. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0619-25.2025
Neuroplasticity, Stress, and Resilience in the Mordern Workplace
George, J. P., Muttungal, P. V., Davidson, B. G. J., & Priya, N. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-2292-6.ch004
Role of the medial prefrontal cortex in the extinction of conditioned appetitive behaviour in rats
Mendoza, J. (2013) · Spectrum Research Repository (Concordia University)
Li, Y., Xie, J., Chen, J., Huo, X., Wang, M., Hu, T., Deng, M., Cao, W., & Xu, Y. (2026) · Biology of Sex Differences · doi:10.1186/s13293-025-00819-z · Cited by 1
Bonneau, N. (2010) · theses.fr (ABES) · doi:10.70675/70b0c65bzc1a6z4af4zb70fz2aee94ac71e1
Dopamine et contrôle de l’action : implication et maturation de la voie mésocorticale chez le rat
Naneix, F. (2011) · theses.fr (ABES) · doi:10.70675/001d4221ze950z4b8dz8178z8e2211b1bc4c
Détection des nutriments et contrôle central de la prise alimentaire
Delaere, F. (2009) · theses.fr (ABES) · doi:10.70675/2e9fa6a2z6f59z4d47zaabbz04010b09ce15
The neural circuitry of fear conditioning : a theoretical account
Angelhuber, M. (2016) · theses.fr (ABES) · doi:10.70675/df1f8188z8908z4025zaa82z92507ac9751b
A closed loop framework of decision-making and learning in primate prefrontal circuits.
Nallapu, B. T. (2019) · theses.fr (ABES) · doi:10.70675/ec68f782z2b3ez44f3zb24fzeafa25ff668c · Cited by 1
Study of the role of the lateral habenula in fear conditioning and stress response in rat
Durieux, L. (2021) · theses.fr (ABES) · doi:10.70675/6aef2b06ze4d6z47dezbb31z9f954c98768d
Network-level neural basis of individual differences in emotional memory enhancement
Geissmann, L., Coynel, D., Papassotiropoulos, A., & de Quervain, D. J. ‐. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121941
Amygdala: Function and neural basis
Chen, G.-D. (2026) · Hearing Research · doi:10.1016/j.heares.2026.109839
Morales, I., Nguyen, D., & Berridge, K. C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.12.758585
Mahler, S. M. (2009) · Deep Blue (University of Michigan)
Metadata
- Authors
- Balleine, B. W., & Killcross, S.
- Affiliations
- University of California, Los Angeles (US)
- Cardiff University (GB)
- Corresponding author
- Balleine, Bernard W.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2006-05
- Volume
- 29
- Issue
- 5
- Pages
- 272-279
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W2145286440
- Cited by
- 622
- References
- 72
- Citations by year
- 2026: 5 · 2025: 15 · 2024: 15 · 2023: 15 · 2022: 25 · 2021: 33 · 2020: 18 · 2019: 68 · 2018: 25 · 2017: 31 · 2016: 27 · 2015: 41 · 2014: 34 · 2013: 43 · 2012: 40
- FWCI
- 3.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Neurosciences (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- National Institutes of Health
- U.S. Public Health Service (NIH 56446)
- Medical Research Council
- 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, parallel computing, serial model, basolateral amygdala, central amygdala, incentive processing, appetitive conditioning, fear conditioning, aversive learning, emotional meaning, defensive reflex
- MeSH terms
- Amygdala, Animals, Appetitive Behavior, Association Learning, Avoidance Learning, Conditioning, Classical, Conditioning, Operant, Humans, Models, Neurological, Motivation, Reward
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