A possible evolutionary function of phenomenal conscious experience of pain
Open accessAbstract
Evolutionary accounts of feelings, and in particular of negative affect and of pain, assume that creatures that feel and care about the outcomes of their behavior outperform those that do not in terms of their evolutionary fitness. Such accounts, however, can only work if feelings can be shown to contribute to fitness-influencing outcomes. Simply assuming that a learner that feels and cares about outcomes is more strongly motivated than one that does is not enough, if only because motivation can be tied directly to outcomes by incorporating an appropriate reward function, without leaving any apparent role to feelings (as it is done in state-of-the-art engineered systems based on reinforcement learning). Here, we propose a possible mechanism whereby pain contributes to fitness: an actor-critic functional architecture for reinforcement learning, in which pain reflects the costs imposed on actors in their bidding for control, so as to promote honest signaling and ultimately help the system optimize learning and future behavior.
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Feelings in the form of subjectively felt valence are the most basic constitutive phenomenal states, they pervade all of experience, guiding the organism to fitness-promoting states.
“On this view, feelings in the form of subjectively felt valence are the most basic constitutive phenomenal states, they pervade all of experience, guiding the organism to fitness-promoting states (Inzlicht et al. 2015; Kolodny et al. 2021).”
From Consciousness in active inference: Deep self-models, other minds, and the challenge of psychedelic-induced ego-dissolution (2021) · cites this paper as Kolodny et al. 2021
In “Phenomenality, Feelings, and Pain” (page unavailable), the paper says feelings are integral to conscious experience and that phenomenal awareness in a typical human has obligatory aspects of affect and valence. Its Abstract proposes a possible fitness-related function specifically for pain; it does not establish that subjectively felt valence generally guides organisms to fitness-promoting states. It calls phenomenal awareness basic, rather than identifying feelings as the most basic phenomenal states. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe present account puts subjective valuation as the most basic constitutive feature of a conscious experience-sensation is always infused with what it means for the organism.
“The present account puts subjective valuation as the most basic constitutive feature of a conscious experience—sensation is always infused with what it ‘means’ for the organism: ‘not everything that happens to us enters our awareness, not by far … but everything that does is not merely informationally registered but also felt’ (Kolodny et al. 2021, 2).”
From Consciousness in active inference: Deep self-models, other minds, and the challenge of psychedelic-induced ego-dissolution (2021) · cites this paper as Kolodny et al. 2021
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Cites
Deep learning in neural networks: an overview
Schmidhuber, J. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.003 · Cited by 18,570 · see citing works
Advances in Neural Information Processing Systems 19
(2007) · The MIT Press eBooks · doi:10.52202/085713 · Cited by 16,037 · see citing works
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527 · see citing works
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 1× · see citing works
“…valence with the first derivative of prediction error over time, with positive valence corresponding to a reduction of prediction errors, which may stem from the agent’s own actions; Joffily and Coricelli (2013) offer a similar account rooted in the free-energy principle advanced by Friston (2010).”
BackgroundHow do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006 · see citing works
Mate selection—A selection for a handicap
Zahavi, A. (1975) · Journal of Theoretical Biology · doi:10.1016/0022-5193(75)90111-3 · Cited by 5,251 · see citing works
On aims and methods of ethology
Tinbergen, N. (1963) · Zeitschrift für Tierpsychologie · doi:10.1111/j.1439-0310.1963.tb01161.x · Cited by 4,551 · see citing works
Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
Christof Koch, A., & Ullman, S. (1987) · Springer eBooks · doi:10.1007/978-94-009-3833-5_5 · Cited by 3,739 · see citing works
Biological signals as handicaps
Grafen, A. (1990) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(05)80088-8 · Cited by 2,462 · see citing works
The brain basis of emotion: a meta-analytic review
Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000446 · Cited by 2,320 · see citing works
Mayr, E. (1961) · Science · doi:10.1126/science.134.3489.1501 · Cited by 1,950 · see citing works
Steps toward Artificial Intelligence
Minsky, M. (1961) · Proceedings of the IRE · doi:10.1109/jrproc.1961.287775 · Cited by 1,706 · see citing works
Habits, 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 · see citing works
Consciousness as integrated information: a provisional manifesto
Tononi, G. (2008) · The Biological Bulletin · doi:10.2307/25470707 · Cited by 1,529 · see citing works
The root of all value: a neural common currency for choice
Levy, D. J., & Glimcher, P. W. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.06.001 · Cited by 1,342 · see citing works
The nature of feelings: evolutionary and neurobiological origins
Damasio, A., & Carvalho, G. B. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3403 · Cited by 1,280 · see citing works
Affective consciousness: core emotional feelings in animals and humans.
Panksepp, J. (2005) · Consciousness and Cognition · doi:10.1016/j.concog.2004.10.004 · Cited by 1,217 · see citing works
The Handicap Principle: A Missing Piece of Darwin's Puzzle
Zehavi, A., & Zahavi, A. (1997) · Cited by 1,179 · see citing works
Goal-directed and habitual control in the basal ganglia: implications for Parkinson's disease
Redgrave, P., Rodriguez, M., Smith, Y., Rodriguez-Oroz, M. C., Lehericy, S., Bergman, H., Agid, Y., DeLong, M. R., & Obeso, J. A. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2915 · Cited by 1,134 · see citing works
From the phenomenology to the mechanisms of consciousness: integrated information theory 3.0
Oizumi, M., Albantakis, L., & Tononi, G. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003588 · Cited by 1,128 · see citing works
Zahavi, A. A. (1997) · doi:10.1093/oso/9780195100358.001.0001 · Cited by 1,121 · see citing works
Parallel models of associative memory
Heath, R. A. (1982) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(82)90036-0 · Cited by 1,111 · see citing works
On Cause and Effect in Biology
Kane, W. H. (1962) · Science · doi:10.1126/science.135.3507.972 · Cited by 1,081 · see citing works
Full-body illusions and minimal phenomenal selfhood
Blanke, O., & Metzinger, T. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.10.003 · Cited by 1,060 · see citing works
A new view of pain as a homeostatic emotion
Craig, A. D. (2003) · Trends in Neurosciences · doi:10.1016/s0166-2236(03)00123-1 · Cited by 1,024 · see citing works
Eisenberger, N. I. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3231 · Cited by 1,016 · see citing works
Parallel models of associative memory
Hinton, G. E., & Anderson, J. A. (1981) · CERN Document Server (European Organization for Nuclear Research) · Cited by 927 · see citing works
(2003) · Cited by 885 · see citing works
Consciousness without a cerebral cortex: A challenge for neuroscience and medicine
Merker, B. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07000891 · Cited by 868 · cited 1× · see citing works
“…of situatedness in space, (ii) a sense of ownership of the body, (iii) a sense of agency over actions, and, fundamentally, (iv) a sense of being [Merker 2007; Metzinger 2003; see (Edelman 2008, 9.3.1) for a concise formulation of the components of vertebrate conscious experience and (Blanke and…”
BackgroundInfluentialBeing No One: The Self-Model Theory of Subjectivity
Metzinger, T. (2003) · MIT Press · doi:10.7551/mitpress/1551.001.0001 · Cited by 789 · see citing works
Parfit, D., & Scheffler, S. (2011) · Cited by 770 · see citing works
For the law, neuroscience changes nothing and everything
Zeki, S., Goodenough, O. R., Greene, J. D., & Cohen, J. D. (2004) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2004.1546 · Cited by 711 · see citing works
Structural plasticity and reorganisation in chronic pain
Kuner, R., & Flor, H. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.162 · Cited by 700 · see citing works
Signalling of need by offspring to their parents
Godfray, H. C. J. (1991) · Nature · doi:10.1038/352328a0 · Cited by 637 · see citing works
From Understanding Computation to Understanding Neural Circuitry
Marr, D., & Poggio, T. (1976) · Defense Technical Information Center (DTIC) · Cited by 612 · see citing works
Frontal Cortex and the Hierarchical Control of Behavior
Badre, D., & Nee, D. E. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.11.005 · Cited by 611 · see citing works
The role of the basal ganglia in nociception and pain
Chudler, E. H., & Dong, W. K. (1995) · Pain · doi:10.1016/0304-3959(94)00172-b · Cited by 601 · see citing works
Cause and Effect in Biology Revisited: Is Mayr’s Proximate-Ultimate Dichotomy Still Useful?
Laland, K., Sterelny, K., Odling-Smee, J., Hoppitt, W., & Uller, T. (2011) · Science · doi:10.1126/science.1210879 · Cited by 557 · see citing works
Tinbergen's four questions: an appreciation and an update
Bateson, P., & Laland, K. N. (2013) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2013.09.013 · Cited by 481 · see citing works
The International Encyclopedia of Anthropology
Dolan, C. S., Gilberthorpe, E., & Rajak, D. (2017) · Wiley eBooks · doi:10.1002/9781118924396 · Cited by 458 · see citing works
Asymbolia for pain: a sensory‐limbic disconnection syndrome
Berthier, M., Starkstein, S., & Leiguarda, R. (1988) · Annals of Neurology · doi:10.1002/ana.410240109 · Cited by 456 · see citing works
Biologically Based Computational Models of High-Level Cognition
O’Reilly, R. C. (2006) · Science · doi:10.1126/science.1127242 · Cited by 447 · see citing works
Cerebral hierarchies: predictive processing, precision and the pulvinar
Kanai, R., Komura, Y., Shipp, S., & Friston, K. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0169 · Cited by 432 · see citing works
Joel, D., & Weiner, I. (1994) · Neuroscience · doi:10.1016/0306-4522(94)90536-3 · Cited by 430 · see citing works
The ventral basal ganglia, a selection mechanism at the crossroads of space, strategy, and reward.
Humphries, M. D., & Prescott, T. J. (2009) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2009.11.003 · Cited by 414 · see citing works
Intrinsically Motivated Learning in Natural and Artificial Systems
Baldassarre, G., & Mirolli, M. (2012) · Springer eBooks · doi:10.1007/978-3-642-32375-1 · Cited by 380 · see citing works
The Basal Ganglia Over 500 Million Years
Grillner, S. E., & Robertson, B. (2016) · Current Biology · doi:10.1016/j.cub.2016.06.041 · Cited by 350 · see citing works
Borsook, D., Upadhyay, J., Chudler, E. H., & Becerra, L. (2010) · Molecular Pain · doi:10.1186/1744-8069-6-27 · Cited by 326 · see citing works
Emotional Valence and the Free-Energy Principle
Joffily, M., & Coricelli, G. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003094 · Cited by 322 · see citing works
Psychological Construction: The Darwinian Approach to the Science of Emotion
Barrett, L. F. (2013) · Emotion Review · doi:10.1177/1754073913489753 · Cited by 311 · see citing works
The mouse cortico–basal ganglia–thalamic network
Foster, N. N., Barry, J., Korobkova, L., Garcia, L., Gao, L., Becerra, M., Sherafat, Y., Peng, B., Li, X., Choi, J.-H., et al. (2021) · Nature · doi:10.1038/s41586-021-03993-3 · Cited by 307 · see citing works
Philosophy and Predictive Processing
Thomas, M., & Wanja, W. (2017) · Cited by 290 · see citing works
The drift diffusion model as the choice rule in reinforcement learning
Pedersen, M. L., Frank, M. J., & Biele, G. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1199-y · Cited by 272 · see citing works
New directions in predictive processing
Hohwy, J. (2020) · Mind & Language · doi:10.1111/mila.12281 · Cited by 261 · see citing works
Pain affect without pain sensation in a patient with a postcentral lesion
Ploner, M., Freund, H., & Schnitzler, A. (1999) · Pain · doi:10.1016/s0304-3959(99)00012-3 · Cited by 251 · see citing works
The sensory-discriminative and affective-motivational aspects of pain
Auvray, M., Myin, E., & Spence, C. J. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.07.008 · Cited by 237 · see citing works
Gershman, S. J., & Uchida, N. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0220-7 · Cited by 236 · see citing works
Laidre, M. E., & Johnstone, R. A. (2013) · Current Biology · doi:10.1016/j.cub.2013.07.070 · Cited by 231 · see citing works
The Mind, The Brain, and Complex Adaptive Systems
Morowitz, H. J. (2018) · Routledge eBooks · doi:10.4324/9780429492761 · Cited by 212 · see citing works
Hippocampal awake replay in fear memory retrieval
Wu, C.-T., Haggerty, D., Kemere, C., & Ji, D. (2017) · Nature Neuroscience · doi:10.1038/nn.4507 · Cited by 210 · see citing works
The basal ganglia and the cerebellum in human emotion
Pierce, J. E., & Péron, J. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa076 · Cited by 189 · see citing works
Sentience and the Origins of Consciousness: From Cartesian Duality to Markovian Monism
Friston, K. J., Wiese, W., & Hobson, J. A. (2020) · Entropy · doi:10.3390/e22050516 · Cited by 186 · see citing works
Redgrave, P., Vautrelle, N., & Reynolds, J. N. J. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.07.060 · Cited by 183 · see citing works
Carruthers, P. (2018) · Philosophy and Phenomenological Research · doi:10.1111/phpr.12395 · Cited by 177 · see citing works
Erratum: Structural plasticity and reorganisation in chronic pain
Kuner, R., & Flor, H. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.5 · Cited by 176 · see citing works
Feinberg, T. E., & Mallatt, J. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00667 · Cited by 158 · cited 1× · see citing works
“According to the former, conscious states are uniquely useful representations of behaviorally important information (Feinberg and Mallatt 2013), or even evolutionary fitness (Kozuch 2020).”
BackgroundBegging and bleating: the evolution of parent–offspring signalling
Godfray, H. C. J., & Johnstone, R. A. (2000) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2000.0719 · Cited by 158 · see citing works
COTTERILL, R. M. J. (2001) · Progress in Neurobiology · doi:10.1016/s0301-0082(00)00058-7 · Cited by 155 · see citing works
Prefrontal executive function and adaptive behavior in complex environments
Koechlin, É. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.11.004 · Cited by 154 · see citing works
Cleeremans, A., Achoui, D., Beauny, A., Keuninckx, L., Martin, J.-R., Muñoz-Moldes, S., Vuillaume, L., & de Heering, A. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.11.011 · Cited by 142 · see citing works
Metzinger, T. K. (2020) · Philosophy and the Mind Sciences · doi:10.33735/phimisci.2020.i.46 · Cited by 138 · see citing works
Lazaridou, A., Kim, J., Cahalan, C. M., Loggia, M. L., Franceschelli, O., Berna, C., Schur, P. H., Napadow, V., & Edwards, R. R. (2016) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000000422 · Cited by 136 · see citing works
What pain asymbolia really shows.
Klein, C. (2015) · Mind · doi:10.1093/mind/fzu185 · Cited by 134 · see citing works
Evolution of mechanisms and behaviour important for pain
Walters, E. T., & Williams, A. C. D. C. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0275 · Cited by 132 · see citing works
Dorsal tegmental dopamine neurons gate associative learning of fear
Groessl, F., Munsch, T., Meis, S., Griessner, J., Kaczanowska, J., Pliota, P., Kargl, D., Badurek, S., Kraitsy, K., Rassoulpour, A., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0174-5 · Cited by 118 · cited 1× · see citing works
“Although the representations of bidding strength must be distinct from those of dopamine-mediated reinforcement learning credit, they may still involve dopamine, as suggested by the recent finding that in the dorsal tegmentum, dopamine neurons gate associative learning of fear (Groessl et al. 2018).”
ResultSynaptic plasticity in the basal ganglia
Wickens, J. R. (2008) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.10.030 · Cited by 113 · see citing works
How does honest costly signaling work?
Higham, J. P. (2013) · Behavioral Ecology · doi:10.1093/beheco/art097 · Cited by 112 · see citing works
Panksepp, J. (2000) · Consciousness & Emotion · doi:10.1075/ce.1.1.04pan · Cited by 109 · see citing works
Fazeli, S., & Büchel, C. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0671-18.2018 · Cited by 109 · see citing works
Affective Value in the Predictive Mind
Van De Cruys, S. (2017) · Theoretical Philosophy/MIND Group – JGU Mainz · doi:10.15502/9783958573253 · Cited by 100 · see citing works
The evolution of begging: signaling and sibling competition
Rodríguez-Gironés, M. A., Cotton, P. A., & Kacelnik, A. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.25.14637 · Cited by 95 · see citing works
Working together: basal ganglia pathways in action selection
Friend, D. M., & Kravitz, A. V. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.04.004 · Cited by 95 · see citing works
Over-the-Counter Relief From Pains and Pleasures Alike
Durso, G. R. O., Luttrell, A., & Way, B. M. (2015) · Psychological Science · doi:10.1177/0956797615570366 · Cited by 87 · see citing works
Edelman, S. (2008) · doi:10.1093/oso/9780195320671.001.0001 · Cited by 83 · see citing works
Self-citationComputing the mind: how the mind really works
(2009) · Choice Reviews Online · doi:10.5860/choice.46-6785 · Cited by 82 · see citing works
Pezzullo, G., Vosgerau, G., Uta Frith, A., Hamilton, A. F. D. C., Heyes, C. M., Iriki, A., Jörntell, H., Peter König, B., Nagel, S., Oudeyer, P.-Y., et al. (2016) · The MIT Press eBooks · doi:10.7551/mitpress/9780262034326.001.0001 · Cited by 80 · see citing works
Towards a computational theory of experience
Fekete, T., & Edelman, S. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.02.010 · Cited by 72 · see citing works
Self-citationAn evolutionary medicine perspective on pain and its disorders
Nesse, R. M., & Schulkin, J. A. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0288 · Cited by 72 · see citing works
Rusu, S. I., & Pennartz, C. M. A. (2019) · Hippocampus · doi:10.1002/hipo.23167 · Cited by 63 · see citing works
Selecting One Among the Many: A Simple Network Implementing Shifts in Selective Visual Attention
Koch, C., & Ullman, S. (1984) · Defense Technical Information Center (DTIC) · Cited by 62 · see citing works
Dual-aspect monism à la Pauli and Jung
Harald Atmanspacher, A. (2012) · Cited by 62 · see citing works
Safety out of control: dopamine and defence
Lloyd, K., & Dayan, P. (2016) · Behavioral and Brain Functions · doi:10.1186/s12993-016-0099-7 · Cited by 59 · see citing works
Actor-critic reinforcement learning in the songbird
Chen, R., & Goldberg, J. H. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.08.005 · Cited by 56 · see citing works
Context-dependent learning and causal structure
Gershman, S. J. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1110-x · Cited by 54 · see citing works
Conceivability, possibility and physicalism
Worley, S. (2003) · Analysis · doi:10.1093/analys/63.1.15 · Cited by 47 · see citing works
Nascimento, S. S., de Oliveira, L. R., & DeSantana, J. M. (2018) · Complementary Therapies in Medicine · doi:10.1016/j.ctim.2018.06.006 · Cited by 46 · see citing works
Pain Asymbolia as Depersonalization for Pain Experience. An Interoceptive Active Inference Account
Gerrans, P. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.523710 · Cited by 43 · cited 4× · see citing works
“…of their interaction with the posterior insula, the “primary integrative hub of interoceptive afferents,” and the anterior insula, which “sits at the apex of the so-called “salience system,” the neural hierarchy that signals whether and how information matters to the organism” (Gerrans 2020, p.5).”
BackgroundInfluentialAffective experience in the predictive mind: a review and new integrative account
Fernandez Velasco, P., & Loev, S. (2021) · Synthese · doi:10.1007/s11229-020-02755-4 · Cited by 43 · see citing works
Saga, Y., Ruff, C. C., & Tremblay, L. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14201 · Cited by 35 · see citing works
Basal ganglia dysfunction in complex regional pain syndrome – A valid hypothesis?
Azqueta‐Gavaldon, M., Schulte-Göcking, H., Storz, C., Azad, S. C., Reiners, A., Borsook, D., Becerra, L. R., & Kraft, E. (2016) · European Journal of Pain · doi:10.1002/ejp.975 · Cited by 31 · see citing works
Multiwinner Voting in Genetic Algorithms
Faliszewski, P., Sawicki, J., Schaefer, R., et al. (2017) · IEEE Intelligent Systems · doi:10.1109/mis.2017.5 · Cited by 30 · see citing works
Arbilly, M., & Lotem, A. (2017) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2017.1616 · Cited by 27 · see citing works
No Pain, No Gain (in Darwinian Fitness): A Representational Account of Affective Experience
Kozuch, B. (2018) · Erkenntnis · doi:10.1007/s10670-018-0044-2 · Cited by 26 · see citing works
Dynamical Emergence Theory (DET): A Computational Account of Phenomenal Consciousness
Moyal, R., Fekete, T., & Edelman, S. (2020) · Minds and Machines · doi:10.1007/s11023-020-09516-9 · Cited by 26 · see citing works
Self-citationAnderson, J. (2019) · South African Journal of Philosophy · doi:10.1080/02580136.2019.1697569 · Cited by 25 · see citing works
al-Hakim, T. (1985) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-07176-0 · Cited by 24 · see citing works
Dewdney, A. K. (1984) · Scientific American · doi:10.1038/scientificamerican0684-19 · Cited by 24 · see citing works
Why are neurotransmitters neurotoxic? An evolutionary perspective
Harris, K. D., Weiss, M., & Zahavi, A. A. (2014) · F1000Research · doi:10.12688/f1000research.4828.2 · Cited by 21 · see citing works
The Role of the Basal Ganglia in Discovering Novel Actions
Redgrave, P., Gurney, K., Stafford, T., Thirkettle, M., & Lewis, J. (2012) · Springer eBooks · doi:10.1007/978-3-642-32375-1_6 · Cited by 20 · see citing works
The mouse cortico-basal ganglia-thalamic networkPreprint
Foster, N. N., Korobkova, L., Garcia, L., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.06.326876 · Cited by 17 · see citing works
Functionally Effective Conscious AI Without Suffering
Agarwal, A., & Edelman, S. (2020) · Journal of Artificial Intelligence and Consciousness · doi:10.1142/s2705078520300030 · Cited by 14 · see citing works
Self-citationPain behavior without pain sensation: an epileptic syndrome of “symbolism for pain”?
Hagiwara, K., Garcı́a-Larrea, L., Tremblay, L., Montavont, A., Catenoix, H., Rheims, S., Guénot, M., & Isnard, J. (2019) · Pain · doi:10.1097/j.pain.0000000000001741 · Cited by 12 · see citing works
The international encyclopedia of anthropology
Callan, H. (2018) · Cited by 11 · see citing works
Vision, Reanimated and Reimagined
Edelman, S. (2012) · Perception · doi:10.1068/p7274 · Cited by 9 · see citing works
Self-citationWhy are neurotransmitters neurotoxic? An evolutionary perspective
Harris, K. D., Weiss, M., & Zahavi, A. A. (2014) · F1000Research · doi:10.12688/f1000research.4828.1 · Cited by 9 · see citing works
Independence and Connections of Pain and Suffering
Fink, S. B. (2011) · PhilPapers (PhilPapers Foundation) · Cited by 6 · see citing works
Contextual emergence in decompositional dual-aspect monism
Atmanspacher, H. (2017) · Cited by 4 · see citing works
What Does the Zombie Argument Prove?
Márton, M. (2018) · Acta Analytica · doi:10.1007/s12136-018-0373-4 · Cited by 4 · see citing works
Does the Conceivability of Zombies Entail Their Possibility?
Polcyn, K. (2020) · Organon F · doi:10.31577/orgf.2020.27306 · Cited by 3 · see citing works
Animal Communication: The Handicap Principle
Zahavi, A. A. (2018) · The International Encyclopedia of Anthropology · doi:10.1002/9781118924396.wbiea1804 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- Barto AG. Intrinsic motivation and reinforcement learning. In Baldassarre G, Mirolli M (eds), Intrinsically Motivated Learning in Natural and Artificial Systems. Berlin: Springer, 2013, 16– 47.
- Edelman GM, Finkel L. Neuronal group selection in the cerebral cortex. In Edelman GM, Gall WE, Cowan WM(eds), Dynamical Aspects of Neocortical Function. New York: Wiley, 1984 653– 95.
- Kirk R. Zombies. In Zalta EN (ed.), The Stanford Encyclopedia of Philosophy, Spring 2019 edition. 2019.
- Zahavi A, Zahavi A. The logic of analog signaling and the theory of signal selection. Israel J Ecol Evol 2012; 58: 269– 78.
Cited by
Sorted by citations
Can insects feel pain? A review of the neural and behavioural evidence
(2022) · Advances in Insect Physiology · doi:10.1016/bs.aiip.2022.10.001 · Cited by 121 · see citing works
Deane, G. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab024 · Cited by 38 · see citing works
The value of consciousness: experiences worth having
Moncoucy, L., Dołęga, K., Tallon-Baudry, C., & Cleeremans, A. (2025) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2024.0303 · Cited by 6 · see citing works
The conductor model of consciousness, our neuromorphic twins, and the human-AI deal
Benitez, F., Pennartz, C., & Senn, W. (2023) · doi:10.31234/osf.io/gbzd6 · Cited by 3 · see citing works
- Authors
- Kolodny, O., Moyal, R., & Edelman, S.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Department of Psychology, Uris Hall, Ithaca, NY 14853, USA
- Corresponding author
- Edelman, Shimon
- Venue
- Neuroscience of Consciousness
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-05-01
- Volume
- 2021
- Issue
- 2
- Pages
- niab012-niab012
- ISSN
- 2057-2107 (ISSN-L)
- PMC
- PMC8206511
- OpenAlex
- W3171159361
- Cited by
- 31
- References
- 120
- Citations by year
- 2026: 1 · 2025: 19 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 1
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Neuroscience of Consciousness (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- Funders
- Israel Science Foundation
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Keywords
- pain, phenomenal consciousness, negative affect, feelings, reinforcement learning, actor-critic architecture, honest signaling, motivation, fitness
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 ›
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