Novelty or Surprise?
Open accessAbstract
Novelty and surprise play significant roles in animal behavior and in attempts to understand the neural mechanisms underlying it. They also play important roles in technology, where detecting observations that are novel or surprising is central to many applications, such as medical diagnosis, text processing, surveillance, and security. Theories of motivation, particularly of intrinsic motivation, place novelty and surprise among the primary factors that arouse interest, motivate exploratory or avoidance behavior, and drive learning. In many of these studies, novelty and surprise are not distinguished from one another: the words are used more-or-less interchangeably. However, while undeniably closely related, novelty and surprise are very different. The purpose of this article is first to highlight the differences between novelty and surprise and to discuss how they are related by presenting an extensive review of mathematical and computational proposals related to them, and then to explore the implications of this for understanding behavioral and neuroscience data. We argue that opportunities for improved understanding of behavior and its neural basis are likely being missed by failing to distinguish between novelty and surprise.
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This intrinsic value maximisation underwrites Bayesian experimental design, active learning, intrinsic motivation, and artificial curiosity.
“This underwrites Bayesian experimental design [134] and active learning in statistics [135], intrinsic motivation and artificial curiosity in machine learning and robotics [136, 137, 138, 139, 140].”
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ResultLearning when the onset of illumination is used as the reinforcing stimulus.
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“For example, if pressing a bar results in the switching on of a light, an animal will start to press the bar, much as if the bar-press were to lead to a reward such as food (e.g., Kish, 1955; Williams and Lowe, 1972; Glow and Winefield, 1978; Reed et al., 1996).”
BackgroundThe novelty exploration bonus and its attentional modulation☆
Krebs, R. M., Schott, B. H., Schütze, H., & Düzel, E. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.01.015 · Cited by 127 · cited 1× · see citing works
“The novelty bonus idea has recently attracted much attention, and it is fostering a number of neuroimaging studies where the activation of the dopaminergic system is studied while subjects are exposed to novel stimuli (e.g., Bunzeck and Duzel, 2006; Wittmann et al., 2008; Krebs et al., 2009).”
Background(1961) · Medical Entomology and Zoology · Cited by 108 · see citing works
Acquisition and extinction in autoshaping.
Kakade, S. M., & Dayan, P. (2002) · Psychological Review · doi:10.1037/0033-295x.109.3.533 · Cited by 102 · cited 3× · see citing works
“Models of classical conditioning based on Bayesian methods, including the Kalman filter, have been proposed that go beyond the account provided by the Rescorla-Wagner model (Dayan et al., 2000; Kakade and Dayan, 2002a; Courville et al., 2004, 2006).”
BackgroundMethodLexical surprisal as a general predictor of reading time
Monsalve, I. F., Frank, S. L., & Vigliocco, G. (2012) · UCL Discovery (University College London) · Cited by 87 · see citing works
Sobótka, S., & Ringo, J. L. (1994) · Brain Research · doi:10.1016/0006-8993(94)90061-2 · Cited by 76 · cited 1× · see citing works
“Repetition suppression is stimulus spe-cific and has been observed in various types of experiments, from classification (Sobotka and Ringo, 1994) to delayed-matching-to-sample tests (Li et al., 1993).”
MethodResponse of dopaminergic neurons in cat to auditory stimuli presented across the sleep-waking cycle
Steinfels, G. F., Heym, J. H., Strecker, R. E., & Jacobs, B. L. (1983) · Brain Research · doi:10.1016/0006-8993(83)90917-4 · Cited by 60 · cited 2× · see citing works
“…experiments are simple light flashes or sudden sounds, and the dopaminergic responses to lights and tones typically persist after many presentations so that talking about novelty of the stimuli does not seem appropriate (Steinfels et al., 1983; Horvitz et al., 1997; Ungless, 2004).”
BackgroundReed, P., Mitchell, C., & Nokes, T. (1996) · Animal Learning & Behavior · doi:10.3758/bf03198952 · Cited by 59 · see citing works
Temporal-Difference NetworksPreprint
Sutton, R. S., & Tanner, B. K. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1504.05539 · Cited by 58 · cited 1× · see citing works
“TD learning is not restricted to predicting reward; the role of reward can be replaced by other stimulus features, and it can be generalized to networks of interrelated predictions (Sutton and Tanner, 2004).”
BackgroundModel Uncertainty in Classical Conditioning
Courville, A. C., Gordon, G. J., Touretzky, D. S., & Daw, N. D. (2003) · Cited by 51 · see citing works
Lepora, N. F., Porrill, J., Yeo, C. H., & Dean, P. (2010) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2010.00140 · Cited by 49 · cited 2× · see citing works
“…further details and the important role this model has played in the history of animal learning theory (see Schmajuk, 2008, for a review; see also Lepora et al., 2010, and Mannella et al., 2010, for two models that capture the basic brain mechanisms with which classical conditioning is…”
BackgroundMethodCharan Ranganath, A., & Paller, K. A. (1999) · Journal of Cognitive Neuroscience · doi:10.1162/089892999563661 · Cited by 38 · cited 1× · see citing works
“Contextual novelty is often studied in oddball experiments where, for example, sequences of a repeating auditory stimulus (e.g., a simple tone) are interleaved with rare odd signals (e.g., a “moo” of a cow) (Ranganath and Paller, 1999).”
BackgroundMirolli, M., Santucci, V. G., & Baldassarre, G. (2013) · Neural Networks · doi:10.1016/j.neunet.2012.12.012 · Cited by 36 · see citing works
Self-citationRobinson, S., Sotak, B. N., During, M. J., & Palmiter, R. D. (2006) · Behavioral Neuroscience · doi:10.1037/0735-7044.120.1.000 · Cited by 35 · cited 1× · see citing works
“Because we know that dopamine is both necessary and sufficient for appetitive instrumental conditioning (Robinson et al., 2006; Zweifel et al., 2009), it is probably safe to assume that it is phasic dopamine that mediates operant conditioning in sensory reinforcement, just as we assume that it is…”
BackgroundNovelty, Information and Surprise
Palm, G. (2012) · Springer eBooks · doi:10.1007/978-3-642-29075-6 · Cited by 34 · see citing works
Novelty Detection as an Intrinsic Motivation for Cumulative Learning Robots
Nehmzow, U., Gatsoulis, Y., Kerr, E., Condell, J. V., Siddique, N. H., & McGinnity, T. M. (2012) · Springer eBooks · doi:10.1007/978-3-642-32375-1_8 · Cited by 21 · cited 1× · see citing works
“Prominent neural network methods for novelty detection, such as methods based on self-organizing feature maps (Kohonen, 1984; Nehmzow et al., 2013), perform this basic process where the memory scan is performed in parallel by the network.”
MethodA Computational Model of the Amygdala Nuclei’s Role in Second Order Conditioning
Mannella, F., Zappacosta, S., Mirolli, M., & Baldassarre, G. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69134-1_32 · Cited by 21 · cited 1× · see citing works
“…important role this model has played in the history of animal learning theory (see Schmajuk, 2008, for a review; see also Lepora et al., 2010, and Mannella et al., 2010, for two models that capture the basic brain mechanisms with which classical conditioning is implemented in, respectively,…”
BackgroundSelf-citationResponse-contingent sensory change in a causally structured environment
Glow, P. H., & Winefield, A. H. (1978) · Animal Learning & Behavior · doi:10.3758/bf03211996 · Cited by 18 · cited 1× · see citing works
“For example, if pressing a bar results in the switching on of a light, an animal will start to press the bar, much as if the bar-press were to lead to a reward such as food (e.g., Kish, 1955; Williams and Lowe, 1972; Glow and Winefield, 1978; Reed et al., 1996).”
BackgroundGlow, P. H. (1970) · Australian Journal of Psychology · doi:10.1080/00049537008254568 · Cited by 16 · cited 1× · see citing works
“Further support that surprise and not novelty supports sensory reinforcement comes from the evidence that light offsets are more-or-less as good reinforcers as light onsets (Glow, 1970; Russell and Glow, 1974).”
BackgroundMusic-engendered laughter: An analysis of humor devices in PDQ Bach
Huron, D. (2004) · Cited by 14 · see citing works
Computational models of classical conditioning
Schmajuk, N. A. (2008) · Scholarpedia · doi:10.4249/scholarpedia.1664 · Cited by 9 · cited 2× · see citing works
“What is now called Kamin blocking is the failure of an animal to learn to elicit a CR when a CS is presented to an animal as part of a compound that includes another CS that had been previously conditioned to elicit a CR (Moore and Schmajuk, 2008).”
BackgroundMethodMoore, J. W., & Schmajuk, N. A. (2008) · Scholarpedia · doi:10.4249/scholarpedia.3542 · Cited by 9 · cited 1× · see citing works
“What is now called Kamin blocking is the failure of an animal to learn to elicit a CR when a CS is presented to an animal as part of a compound that includes another CS that had been previously conditioned to elicit a CR (Moore and Schmajuk, 2008).”
BackgroundResponse contingent illumination change as a reinforcer in the rat
Williams, D. I., & Lowe, G. (1972) · Animal Behaviour · doi:10.1016/s0003-3472(72)80045-9 · Cited by 5 · cited 1× · see citing works
“For example, if pressing a bar results in the switching on of a light, an animal will start to press the bar, much as if the bar-press were to lead to a reward such as food (e.g., Kish, 1955; Williams and Lowe, 1972; Glow and Winefield, 1978; Reed et al., 1996).”
BackgroundSome effects of short-term immediate prior exposure to light change on responding for light change
Russell, A., & Glow, P. H. (1974) · Animal Learning & Behavior · doi:10.3758/bf03199191 · Cited by 4 · cited 1× · see citing works
“Further support that surprise and not novelty supports sensory reinforcement comes from the evidence that light offsets are more-or-less as good reinforcers as light onsets (Glow, 1970; Russell and Glow, 1974).”
Background
Flagged first, then by citations
8 of the 107 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
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REBUS and the anarchic brain: Toward a unified model of the brain action of psychedelics
Carhart-Harris, R. L., & Friston, K. J. (2019) · Pharmacological Reviews · doi:10.1124/pr.118.017160 · Cited by 1,180 · see citing works
Active inference: a process theory
Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., & Pezzulo, G. (2017) · Neural Computation · doi:10.1162/neco_a_00912 · Cited by 1,156 · see citing works
“…regarded as the drive for novelty-seeking behavior (Wittmann, Daw, Seymour, & Dolan, 2008; Krebs, Schott, Sch¨utze, & D¨uzel, 2009; Schwarten-beck et al., 2013), in which we anticipate uncertainty that can be resolved (e.g., opening a birthday present: see also Barto, Mirolli, & Baldassarre, 2013).”
BackgroundFriston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., ODoherty, J., & Pezzulo, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.022 · Cited by 674 · see citing works
Predictive Processes and the Peculiar Case of Music.
Koelsch, S., Vuust, P., & Friston, K. J. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.10.006 · Cited by 494 · see citing works
“, after and before an observation); it is also known as expected Bayesian surprise or information gain [82,83].”
Latent Space Autoregression for Novelty Detection
Abati, D., Porrello, A., Calderara, S., & Cucchiara, R. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00057 · Cited by 508 · see citing works
“According to cognitive psychology [4], novelty can be expressed either in terms of capabilities to remember an event or as a degree of surprisal [39] aroused by its observation.”
BackgroundIn vitro neurons learn and exhibit sentience when embodied in a simulated game-world
Kagan, B. J., Kitchen, A. C., Tran, N. T., Habibollahi, F., Khajehnejad, M., Parker, B. J., Bhat, A., Rollo, B., Razi, A., & Friston, K. J. (2022) · Neuron · doi:10.1016/j.neuron.2022.09.001 · Cited by 400 · see citing works
Intrinsic motivation, curiosity, and learning
Oudeyer, P., Gottlieb, J. P., & Lopes, M. C. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.05.005 · Cited by 390 · see citing works
“, 2013; Kidd and Hayden, 2015), states of curiosity are often associated to a psychological interest for activities or stimuli that are surprising, novel, of intermediate complexity, or characterized by a knowledge gap or by errors in prediction, which are features that can themselves be quantified mathematically (Oud…”
BackgroundA step-by-step tutorial on active inference and its application to empirical data
Smith, R., Friston, K. J., & Whyte, C. J. (2022) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2021.102632 · Cited by 246 · see citing works
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Active inference on discrete state-spaces: A synthesis
Da Costa, L., Parr, T., Sajid, N., Veselic, S., Neacsu, V., & Friston, K. (2020) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2020.102447 · Cited by 226 · see citing works
“For example, if we ignore prior preferences, then the expected free energy reduces to information gain [112, 156] or intrinsic motivation [144, 149, 150].”
BackgroundActive inference on discrete state-spaces: A synthesis
Costa, L. D., Parr, T., Sajid, N., Veselic, S., Neacsu, V., & Friston, K. J. (2020) · UCL Discovery (University College London) · Cited by 204 · see citing works
The Cognitive‐Evolutionary Model of Surprise: A Review of the Evidence
Reisenzein, R., Horstmann, G., & Schützwohl, A. (2017) · Topics in Cognitive Science · doi:10.1111/tops.12292 · Cited by 198 · see citing works
In the body's eye: the computational anatomy of interoceptive inference
Allen, M., Levy, A., Parr, T., & Friston, K. J. (2022) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1010490 · Cited by 185 · see citing works
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 173 · see citing works
Regimes of Expectations: An Active Inference Model of Social Conformity and Human Decision Making
Constant, A., Ramstead, M. J. D., Veissière, S. P. L., & Friston, K. J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00679 · Cited by 172 · see citing works
Does prediction error drive one-shot declarative learning?
Greve, A., Cooper, E., Kaula, A., Anderson, M. C., & Henson, R. (2017) · Journal of Memory and Language · doi:10.1016/j.jml.2016.11.001 · Cited by 164 · see citing works
Badcock, P. B., Friston, K. J., Ramstead, M. J. D., Ploeger, A., & Hohwy, J. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00721-3 · Cited by 166 · see citing works
The free energy principle made simpler but not too simple
Friston, K., Da Costa, L., Sajid, N., Heins, C., Ueltzhöffer, K., Pavliotis, G. A., & Parr, T. (2023) · Physics Reports · doi:10.1016/j.physrep.2023.07.001 · Cited by 163 · see citing works
“7, such as intrinsic motivation, artificial curiosity [136–138] and optimal control [93,95,131].”
Positive affect, surprise, and fatigue are correlates of network flexibility
Betzel, R. F., Satterthwaite, T. D., Gold, J. I., & Bassett, D. S. (2017) · Scientific Reports · doi:10.1038/s41598-017-00425-z · Cited by 158 · see citing works
Common neural code for reward and information value
Kobayashi, K., & Hsu, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820145116 · Cited by 148 · see citing works
Behavioral, Physiological, and Neural Signatures of Surprise during Naturalistic Sports Viewing
Antony, J. W., Hartshorne, T. H., Pomeroy, K., Gureckis, T. M., Hasson, U., McDougle, S. D., & Norman, K. A. (2020) · Neuron · doi:10.1016/j.neuron.2020.10.029 · Cited by 146 · see citing works
Variational ecology and the physics of sentient systems
Ramstead, M. J. D., Constant, A., Badcock, P. B., & Friston, K. J. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2018.12.002 · Cited by 139 · see citing works
Computational psychiatry: from synapses to sentience
Friston, K. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01743-z · Cited by 158 · see citing works
Divjak, D. (2019) · Elsevier eBooks · doi:10.1016/b978-0-323-95504-1.01134-0 · Cited by 132 · see citing works
Friston, K. J., Costa, L. D., Hafner, D., Hesp, C., & Parr, T. (2021) · Neural Computation · doi:10.1162/neco_a_01351 · Cited by 123 · see citing works
“One can illustrate the minimization of expected free energy in terms of curiosity and novelty (Barto et al., 2013; Schmidhuber, 2006) by simulating a rat that has never been exposed to the maze previously.”
BackgroundInfluentialCue-Evoked Dopamine Promotes Conditioned Responding during Learning
Morrens, J., Aydın, Ç., van Rensburg, A. J., Rabell, J. E., & Haesler, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.012 · Cited by 116 · see citing works
Path integrals, particular kinds, and strange things
Friston, K. J., Costa, L. D., Sakthivadivel, D. A. R., Heins, C., Pavliotis, G. A., Ramstead, M. J. D., & Parr, T. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.08.016 · Cited by 122 · see citing works
“13 This injection can be expressed as a variational density 10 It is instructive to write out the curvature of the Lagrangian in terms of coupling among subsets of states: with a slight abuse of notation:”
BackgroundDivjak, D. (2019) · doi:10.1017/9781316084410 · Cited by 83 · see citing works
Making Sense of the World: Infant Learning From a Predictive Processing Perspective
Köster, M., Kayhan, E., Langeloh, M., & Hoehl, S. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691619895071 · Cited by 112 · see citing works
The Experience of Novelty and the Novelty of Experience
Skavronskaya, L., Moyle, B., & Scott, N. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00322 · Cited by 103 · see citing works
Dopaminergic basis for signaling belief updates, but not surprise, and the link to paranoia
Nour, M. M., Dahoun, T., Schwartenbeck, P., Adams, R. A., FitzGerald, T. H. B., Coello, C., Wall, M. B., Dolan, R. J., & Howes, O. D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1809298115 · Cited by 101 · see citing works
Akiti, K., Tsutsui‐Kimura, I., Xie, Y., Mathis, A., Markowitz, J. E., Anyoha, R., Datta, S. R., Mathis, M. W., Uchida, N., & Watabe‐Uchida, M. (2022) · Neuron · doi:10.1016/j.neuron.2022.08.022 · Cited by 100 · see citing works
Why people use augmented reality in heritage museums: a socio-technical perspective
Chen, Y., Wang, X., Le, B., & Wang, L. (2024) · Heritage Science · doi:10.1186/s40494-024-01217-1 · Cited by 120 · see citing works
“Novelty is the process of experiencing something different from what is normally encountered and is often defined as the degree of difference in an individual’s response to a stimulus [66].”
BackgroundAn Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case
Smith, R. S., Schwartenbeck, P., Parr, T., & Friston, K. J. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00041 · Cited by 111 · see citing works
“Yet, while infants may initially be somewhat restricted to passively observing their environment, observations quickly come under the control of action (perhaps bootstrapping in a useful way on passive observations to first acquire sensorimotor contingencies; Deci and Ryan, 1985; Oudeyer, 2007; Schmidhuber, 2010; Bart…”
BackgroundRepresentation Wars: Enacting an Armistice Through Active Inference
Constant, A., Clark, A., & Friston, K. J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.598733 · Cited by 97 · see citing works
“As such, it is sometimes referred to as intrinsic motivation (Ryan and Deci, 1985; Oudeyer and Kaplan, 2007; Schmidhuber, 2010; Barto et al., 2013); Schmidhuber, 2010).”
BackgroundA primate temporal cortex–zona incerta pathway for novelty seeking
Ogasawara, T., Sogukpinar, F., Zhang, K., Feng, Y.-Y., Pai, J., Jezzini, A., & Monosov, I. E. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00950-1 · Cited by 96 · see citing works
Friston, K. J., Sajid, N., Quiroga‐Martinez, D. R., Parr, T., Price, C. J., & Holmes, E. (2020) · Hearing Research · doi:10.1016/j.heares.2020.107998 · Cited by 102 · see citing works
Reframing the Role of Novelty within Social HRI: from Noise to Information
Smedegaard, C. V. (2019) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2019.8673219 · Cited by 94 · see citing works
“[36] investigate three kinds of noveltycomplexity (stimulus, associative, and contextual) usually”
BackgroundInfluentialGRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning
Santucci, V., Baldassarre, G., & Mirolli, M. (2016) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2016.2538961 · Cited by 113 · see citing works
“Note that we are using the IM signal for motivation (i.e., as a drive to select and execute a goal/behavior) rather than for learning (i.e., to update connection weights) as in most models using IMs.”
BackgroundInfluentialSelf-citationPlay in predictive minds: A cognitive theory of play.
Andersen, M. M., Kiverstein, J., Miller, M., & Roepstorff, A. (2023) · Psychological Review · doi:10.1037/rev0000369 · Cited by 122 · see citing works
Linson, A., Clark, A., Ramamoorthy, S., & Friston, K. J. (2018) · Frontiers in Robotics and AI · doi:10.3389/frobt.2018.00021 · Cited by 93 · see citing works
“This means that the most probable policies or paths are those that resolve uncertainty when navigating the lived world (Berlyne, 1950; Schmidhuber, 2006; Baranes and Oudeyer, 2009; Still and Precup, 2012; Barto et al., 2013; Moulin and Souchay, 2015).”
BackgroundNeural signals encoding shifts in beliefs
Schwartenbeck, P., FitzGerald, T. H. B., & Dolan, R. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.067 · Cited by 82 · see citing works
“Published by Elsevier Inc a b s t r a c t a r t i c l e i n f o”
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“(Barto et al., 2013) from stimulus-specific adaptation is to com-”
Salience and Attention in Surprisal-Based Accounts of Language Processing
Zarcone, A., van Schijndel, M., Vogels, J., & Demberg, V. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00844 · Cited by 80 · see citing works
“Several factors may make an entity cognitively accessible / salient.”
BackgroundIntrinsic motivations and open-ended development in animals, humans, and robots: an overview
Baldassarre, G., Stafford, T., Mirolli, M., Redgrave, P., Ryan, R. M., & Barto, A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00985 · Cited by 73 · see citing works
“The theoretical contribution of Barto et al. (2013) argues for the importance of distinguishing between novelty and surprise on the basis of a comprehensive analysis of the computational literature related to the two.”
BackgroundSelf-citationWith a Little Help from My Friends: Cultivating Serendipity in Online Shopping EnvironmentsPreprint
Grangé, C., Benbasat, I., & Burton‐Jones, A. (2017) · SSRN Electronic Journal · doi:10.1016/j.im.2018.06.001 · Cited by 75 · see citing works
Lomas, J. D., Koedinger, K., Patel, N., Shodhan, S., Poonwala, N., & Forlizzi, J. L. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025638 · Cited by 74 · see citing works
“For a recent review of novelty, see [5].”
BackgroundBoredom begets creativity: A solution to the exploitation–exploration trade-off in predictive coding
Gómez‐Ramírez, J., & Costa, T. (2017) · Biosystems · doi:10.1016/j.biosystems.2017.04.006 · Cited by 70 · see citing works
SeIns: Semantic Instability in Art
Muth, C., & Carbon, C. (2015) · Art & Perception · doi:10.1163/22134913-00002049 · Cited by 69 · see citing works
Expectation-driven novelty effects in episodic memory
Frank, D., & Kafkas, A. (2021) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2021.107466 · Cited by 73 · see citing works
Ventro-dorsal Hippocampal Pathway Gates Novelty-Induced Contextual Memory Formation
Fredes, F., Silva, M. A., Koppensteiner, P., Kobayashi, K., Joesch, M., & Shigemoto, R. (2020) · Current Biology · doi:10.1016/j.cub.2020.09.074 · Cited by 68 · see citing works
Song, H., So, J., Shim, M., Kim, J., Kim, E., & Lee, K. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107439 · Cited by 66 · see citing works
“Novel content offers uncommon and unexpected information (Barto et al., 2013; Shoemaker, 1996), which leads individuals to deviate from their routine style of information processing and to attend to a potential threat depicted in the information (Cappella et al.”
Intrinsically motivated reinforcement learning for human–robot interaction in the real-world
Qureshi, A. H., Nakamura, Y., Yoshikawa, Y., & Ishiguro, H. (2018) · Neural Networks · doi:10.1016/j.neunet.2018.03.014 · Cited by 66 · see citing works
“In novelty-based methods, the agent gets excited on seeing a new information whereas in surprise-based methods, the agent gets higher reward when its prediction of future states goes wrong (for details see [20]).”
BackgroundThe neural correlates of ideation in product design engineering practitioners
Hay, L., Duffy, A. H. B., Gilbert, S. J., Lyall, L. M., Campbell, G., Coyle, D., & Grealy, M. (2019) · Design Science · doi:10.1017/dsj.2019.27 · Cited by 65 · see citing works
“This method is based on the observation that statistically infrequent responses in creative generation tasks tend to be the most unique, and common responses tend to be more routine ideas (Goff & Torrance 2002; Barto, Mirolli & Baldassarre 2013).”
Virtual Reality in Museums: Does It Promote Visitor Enjoyment and Learning?
Shahab, H., Mohtar, M., Ghazali, E. M., Rauschnabel, P. A., & Geipel, A. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2099399 · Cited by 67 · see citing works
“The novelty of VR indicates that it has not been previously encountered or experienced much by a person (Barto et al., 2013).”
BackgroundNeural Circuitry of Salience and Reward Processing in Psychosis
Kesby, J. P., Murray, G. K., & Knolle, F. (2023) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.12.003 · Cited by 55 · see citing works
A taxonomy of surprise definitions
Modirshanechi, A., Brea, J., & Gerstner, W. (2022) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2022.102712 · Cited by 60 · see citing works
Wen, W., & Haggard, P. (2019) · Cognition · doi:10.1016/j.cognition.2019.104074 · Cited by 56 · see citing works
“Further, neurorobotics approaches emphasise the importance of exploratory movements (Barto, Mirolli, & Baldassarre, 2013; Oudeyer & Kaplan, 2007; Parr & Friston, 2017; Schmidhuber, 2010).”
BackgroundThe color–flavor incongruency effect in product evaluation and brand perception
Huang, J., & Wan, X. I. (2019) · Journal of Consumer Behaviour · doi:10.1002/cb.1787 · Cited by 54 · see citing works
The role of hippocampal mossy cells in novelty detection
Fredes, F., & Shigemoto, R. (2021) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2021.107486 · Cited by 50 · see citing works
“Here we adopt the distinction between novelty and surprise from Barto et al. 2013: “Detecting novelty requires examining (by one means or another) the contents of memory to determine if the stimulus has or has not previously been experienced and attended to.”
BackgroundMethodOgnibene, D., & Baldassarre, G. (2014) · IEEE Transactions on Autonomous Mental Development · doi:10.1109/tamd.2014.2341351 · Cited by 55 · see citing works
“[14]), but rather goals directed to manipulate and physically change the environment for own benefit.”
BackgroundSelf-citationBeylergil, S. B., Beck, A., Deserno, L., Lorenz, R. C., Rapp, M. A., Schlagenhauf, F., Heinz, A., & Obermayer, K. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.04.010 · Cited by 54 · see citing works
Novelty, Salience, and Surprise Timing Are Signaled by Neurons in the Basal Forebrain
Zhang, K., Chen, C. D., & Monosov, I. E. (2018) · Current Biology · doi:10.1016/j.cub.2018.11.012 · Cited by 48 · see citing works
Revisiting the relationship between the P3b and working memory updating
Rac-Lubashevsky, R., & Kessler, Y. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.107769 · Cited by 56 · see citing works
On the joys of perceiving: Affect as feedback for perceptual predictions
Четвериков, А. А., & Kristjansson, A. K. (2016) · Acta Psychologica · doi:10.1016/j.actpsy.2016.05.005 · Cited by 53 · see citing works
An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey
Aubret, A., Matignon, L., & Hassas, S. (2023) · Entropy · doi:10.3390/e25020327 · Cited by 52 · see citing works
“[58] criticizes such a definition by stressing that very distinct and memorable events may have low probabilities of occurring, while not being novel (e.”
BackgroundInfluentialNovelty Manipulations, Memory Performance, and Predictive Coding: the Role of Unexpectedness
Reichardt, R., Polner, B., & Simor, P. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00152 · Cited by 48 · see citing works
“First, stimulus novelty manipulations, probably recognized by most as the archetypal cases of novelty, intend to use stimuli that have never been encountered by the observer before (Barto et al., 2013; Schomaker andMeeter, 2015).”
BackgroundInfluentialFeelings of Being for Mobile User Experience Design
Dirin, A., Nieminen, M., & Laine, T. H. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2108964 · Cited by 49 · see citing works
“Exploration of new features and novelty in an application increases interest and excitement (Barto et al., 2013).”
BackgroundCuriosity-driven exploration: foundations in neuroscience and computational modeling
Modirshanechi, A., Kondrakiewicz, K., Gerstner, W., & Haesler, S. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.10.002 · Cited by 48 · see citing works
An active inference model of hierarchical action understanding, learning and imitation
Proietti, R., Pezzulo, G., & Tessari, A. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.05.012 · Cited by 47 · see citing works
The technology, opportunities, and challenges of Synthetic Biological Intelligence
Kagan, B. J., Gyngell, C., Lysaght, T., Cole, V. M., Sawai, T., & Savulescu, J. (2023) · Biotechnology Advances · doi:10.1016/j.biotechadv.2023.108233 · Cited by 48 · see citing works
“…exhibit such organization – i.e., why such features are optimal for a system to survive and thrive in a dynamic environment (e. g. (Barlow, 2012; Barto et al., 2013; Friston et al., 2012, 2018, 2009; Kangassalo et al., 2020; Madhav and Cowan, 2020; Schwartenbeck et al., 2019, 2015; Schwartz,…”
BackgroundNovelty competes with saliency for attention
Ernst, D., Becker, S. I., & Horstmann, G. (2020) · Vision Research · doi:10.1016/j.visres.2020.01.004 · Cited by 45 · see citing works
Active inference models do not contradict folk psychology
Smith, R. S., Ramstead, M. J. D., & Kiefer, A. B. (2022) · Synthese · doi:10.1007/s11229-022-03480-w · Cited by 50 · see citing works
“This has been referred to as ‘intrinsic motivation’ (Barto et al., 2013; Oudeyer & Kaplan, 2007; Schmidhuber, 2010) as well as the drive to seek ‘novelty’ (Schwartenbeck et al., 2019), but more generally involves a drive to learn what will be observed when visiting an unfamiliar state.”
BackgroundToward a Unified Socio-Cognitive Framework for Salience in Language
Schmid, H., & Günther, F. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01110 · Cited by 46 · see citing works
Learning probabilistic neural representations with randomly connected circuits
Maoz, O., Tkačik, G., Esteki, M. S., Kiani, R., & Schneidman, E. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912804117 · Cited by 44 · see citing works
Curiosity: primate neural circuits for novelty and information seeking
Monosov, I. E. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00784-9 · Cited by 44 · see citing works
“The novelty of places or spaces is processed by a network of brain areas involved in declarative memory, such as the hippocampus and the mammillary region of the hypothalamus 28,37,142–148 .”
Designing ecosystems of intelligence from first principles
Friston, K. J., Ramstead, M. J. D., Kiefer, A. B., Tschantz, A., Buckley, C. L., Albarracin, M., Pitliya, R. J., Heins, C., Klein, B., Millidge, B., et al. (2024) · Collective Intelligence · doi:10.1177/26339137231222481 · Cited by 66 · see citing works
“…to reduce uncertainty in the variables and parameters that de fi ne your model, which, in the active inference formulation, corresponds to inference and learning, respectively (Barto et al., 2013; Lindley, 1956; MacKay, 1992; Schmidhuber, 2006; Schwartenbeck et al., 2019; Still and Precup, 2012).”
BackgroundUnconscious perception of one's own name modulates amplitude of the P3B ERP component
Doradzińska, Ł., Wójcik, M. J., Paź, M., Nowicka, M. M., Nowicka, A., & Bola, M. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107564 · Cited by 43 · see citing works
“…using a range of stimuli and experimental manipulations, demonstrated that the amplitude of the P3b faithfully reflects visual awareness (Vogel et al., 1998; Fernandez-Duque et al., 2003; Sergent et al., 2005; Del Cul et al., 2007; Gaillard et al., 2009; Lamy et al., 2009; Batterink et al., 2012).”
BackgroundGottlieb, J. P., Lopes, M. C., & Oudeyer, P. (2016) · Advances in motivation and achievement · doi:10.1108/s0749-742320160000019017 · Cited by 43 · see citing works
“…2000; Laurent, 2008; Bianca C Wittmann, Bunzeck, Dolan, & Düzel, 2007; B. C. Wittmann, Daw, Seymour, & Dolan, 2008), and provides a bonus for organizing reward-based exploration (Barto et al., 2013; Brafman & Tennenholtz, 2003; Kakade & Dayan, 2002; Laurent, 2008; Manuel Lopes & Oudeyer, 2012).”
BackgroundAn Investigation of the Free Energy Principle for Emotion Recognition
Demekas, D., Parr, T., & Friston, K. J. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00030 · Cited by 41 · see citing works
“…to sample outcomes that are relevant to the task at hand, even if they are associated with high uncertainty, which is an emergent behavior under the minimization of expected free energy (Barto et al., 2013; Schwartenbeck et al., 2013, 2019; Friston et al., 2015b, 2017c; Limanowski et al., 2015).”
BackgroundPerceived Novelty Support and Psychological Needs Satisfaction in Physical Education
Fierro-Suero, S., Almagro, B. J., Buñuel, P. S.-L., & Carmona, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17114169 · Cited by 41 · see citing works
Prior probabilities modulate cortical surprise responses: A study of event-related potentials
Seer, C., Lange, F., Boos, M., Dengler, R., & Kopp, B. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.04.011 · Cited by 39 · see citing works
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making
He, X., Modirshanechi, A., Lehmann, M. P., Gerstner, W., & Herzog, M. H. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009070 · Cited by 45 · see citing works
“This is consistent with ideas that novelty is more related to memory-recall and surprise is more related to predictions [35].”
InfluentialElectroencephalographic correlates of temporal Bayesian belief updating and surprise
Visalli, A., Capizzi, M., Ambrosini, E., Kopp, B., & Vallesi, A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117867 · Cited by 42 · see citing works
Turner, D. P., Lebowitz, A. D., Chtay, I., & Houle, T. T. (2019) · Headache The Journal of Head and Face Pain · doi:10.1111/head.13507 · Cited by 39 · see citing works
“In learning contexts, surprising information plays a key role and enhances association strength.(27) In biological terms, environmental surprise (eg, hotter than usual, less food, infection) is often analogous with threat, and the primary purpose of the brain has been posited as one of reducing uncertainty or surprise…”
BackgroundWhy the standard definition of creativity fails to capture the creative act
Abraham, A. (2024) · Theory & Psychology · doi:10.1177/09593543241290232 · Cited by 42 · see citing works
“The conceptual conflation between novelty and surprise is a problem that has been noted in several fields of inquiry within behavioral and brain sciences (Barto et al., 2013; Modirshanechi et al., 2023).”
Order and change in art: towards an active inference account of aesthetic experience
de Cruys, S. V., Frascaroli, J., & Friston, K. J. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0411 · Cited by 37 · see citing works
AI Autonomy: Self‐initiated Open‐world Continual Learning and Adaptation
Liu, B., Mazumder, S., Robertson, E., & Grigsby, S. (2023) · AI Magazine · doi:10.1002/aaai.12087 · Cited by 35 · see citing works
“Novelty-based IMs try to detect novel items and direct attention to novel items in exploration.”
BackgroundInfluentialSensorimotor Contingencies as a Key Drive of Development: From Babies to Robots
Jacquey, L., Baldassarre, G., Santucci, V. G., & O'Regan, J. K. (2019) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2019.00098 · Cited by 33 · see citing works
“Another possibility is to use intrinsic motivations such as novelty or surprise , i.e., to consider as interesting those effects of actions that respectively have never/rarely been experienced before, or that violate expectations (Barto et al., 2013).”
BackgroundSelf-citationAttention in the predictive mind
Ransom, M., Fazelpour, S., & Mole, C. (2016) · Consciousness and Cognition · doi:10.1016/j.concog.2016.06.011 · Cited by 34 · see citing works
Reward maximization through discrete active inference
Da Costa, L., Sajid, N., Parr, T., Friston, K., & Smith, R. (2023) · Neural Computation · doi:10.1162/neco_a_01574 · Cited by 35 · see citing works
“This underwrites intrinsic motivation in machine learning and robotics (Barto et al., 2013; Deci & Ryan, 1985; Oudeyer & Kaplan, 2007) and expected Bayesian surprise in visual search (Itti & Baldi, 2009; Sun et al., 2011) and the organization of our visual apparatus (Barlow, 1961, 1974; Linsker,…”
BackgroundPolysemy, Diachrony, and the Circle of Cognition
Fortescue, M. (2020) · BRILL eBooks · doi:10.1163/9789004449527 · Cited by 33 · see citing works
Fradkin, I., Ludwig, C. J. H., Eldar, E., & Huppert, J. D. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007634 · Cited by 31 · see citing works
Wessel, J. R., & Huber, D. E. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006927 · Cited by 32 · see citing works
“There is a subtle but important distinction between surprise and novelty [40]: novelty is thought to describe a specific stimulus that is not already present in the memory system [41], whereas surprise is a violation of prediction.”
BackgroundOversampled and undersolved: Depressive rumination from an active inference perspective
Berg, M., Feldmann, M., Kirchner, L., & Κube, T. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104873 · Cited by 32 · see citing works
Predictions in the eye of the beholder: an active inference account of Watt governors
Baltieri, M., Buckley, C. L., & Bruineberg, J. P. (2020) · Conference on Artificial Life (ALIFE) · doi:10.1162/isal_a_00288 · Cited by 31 · see citing works
“, a Bayesian inference process conditioned on a system’s norms, such as its survival and very existence (Barto et al., 2013; Baltieri, 2019)).”
BackgroundSynthesising boredom: a predictive processing approach
Darling, T. (2023) · Synthese · doi:10.1007/s11229-023-04380-3 · Cited by 29 · see citing works
“…creativity and fun (e.g. Schmidhuber, 1991, 2010), as a component of intrinsic motivation networks that aim toward maxi-mising epistemic (or informational) gain (e.g. Baldassarre & Mirolli, 2013; Barto et al., 2013; Friston et al., 2017a; Gottlieb et al., 2013 ; Schwartenbeck et al., 2013).”
Surprise and recency in novelty detection in the primate brain
Zhang, K., Bromberg-Martin, E. S., Sogukpinar, F., Kocher, K., & Monosov, I. E. (2022) · Current Biology · doi:10.1016/j.cub.2022.03.064 · Cited by 27 · see citing works
Smedegaard, C. V. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.741478 · Cited by 28 · see citing works
“…on novelty assessment and processing focuses on testing-paradigms that employ instances of novelty based either on being “ atypical ” or “ deviant ” from the rest of the presented stimuli, or on not having been presented before within the context of the study (Habib 2000; Barto et al., 2013).”
BackgroundInfluentialMobile language app learners’ self-efficacy increases after using generative AI
Kittredge, A. K., Hopman, E. W. M., Reuveni, B., Dionne, D. M., Freeman, C., & Jiang, X. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1499497 · Cited by 27 · see citing works
“These results are also broadly consistent with research demonstrating that novelty enhances attention, memory, learning, and perceived value (Barto et al., 2013; Kagan, 2009; Blut et al., 2023; Sánchez-Fernández and Iniesta-Bonillo, 2007; Leroi-Werelds, 2019; Wells et al., 2010).”
- Authors
- Barto, A., Mirolli, M., & Baldassarre, G.
- Affiliations
- University of Massachusetts Amherst (US)
- National Research Council (IT)
- Corresponding author
- Barto, Andrew
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 4
- Pages
- 907-907
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC3858647
- OpenAlex
- W2085754318
- Cited by
- 397
- References
- 107
- Citations by year
- 2026: 58 · 2025: 32 · 2024: 44 · 2023: 37 · 2022: 51 · 2021: 30 · 2020: 38 · 2019: 44 · 2018: 18 · 2017: 14 · 2016: 12 · 2015: 10 · 2014: 8 · 2013: 1
- FWCI
- 13.86
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- European Commission (231722)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychological and Educational Research Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Keywords
- novelty, surprise, intrinsic motivation, exploratory behavior, avoidance behavior, learning, psychobiology, novelty detection
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