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13 - Cross-Species Comparisons

from Part II - Middle-Level Theories

Published online by Cambridge University Press:  30 June 2022

Todd K. Shackelford
Affiliation:
Oakland University, Michigan
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Summary

Comparisons across species have long been used to explore biological, medical, social, and behavioral phenomena. Throughout the twentieth century, behavioral psychologists and ethologists approached the problem of cross-species comparisons from different perspectives: Behaviorists focused on tightly controlled sterile laboratory experiments that mostly used a select few species, whereas ethologists utilized a more naturalistic approach to observe a diverse set of animals in their natural habitats. The behaviorist approach allowed for a systematic exploration of the processes unique to and common across species, whereas the ethologist approach highlighted how ecological pressures shape cognitive capacity. In this chapter, we explore how the convergence of these two approaches can be used to explore the evolution of cognition using organisms’ capacity for learning (behavior adaptation due to experience) as a framework. For this purpose, we review the existing literature on the relatively simple nonassociative phenomenon of stimulus habituation, which has been observed in a wide range of animals, ranging from unicellular organisms to complex vertebrates, with only quantitative differences in the extent to which the phenomenon is observed across species. The common characteristics of habituation across species, and its potential role in defensive survival mechanisms and mate selection, suggest that some basic phenomena have been conserved through evolution. We also review the occurrence of associative learning across species, and how the capacity to make predictions about their environment can serve to increase survival and reproductive success. The emergence of associative learning has been suggested as a critical step in cognitive development that was a cause or consequence of the diversification of species that occurred during the Cambrian period. The capacity for associative learning also seems to be shaped by ecological pressures, such that certain associations are more easily learned than others. That is, associations are not genetically encoded, but each species’ evolutionary history leads to some associations being preferentially acquired over others. Associative learning also appears to exhibit qualitative differences across species, with some species appearing to lack a capacity to exhibit certain associative phenomena. However, the failure to observe a phenomenon should be used carefully when drawing conclusions about a given species’ cognitive capacities because a failure to accomplish a task may reflect instead physical limitations to successfully completing the task. Different species’ biological adaptations mean that widely different methodologies may be needed to uncover phenomena that could serve each species in their respective ecological niches. These methodological issues may limit the extent to which species can be directly compared. Finally, the capacity for learning may not be limited to animals, as a handful of studies have suggested that plants can exhibit learning-like capabilities. We conclude that cross-species comparisons are an essential tool to understand the phylogeny of cognition.

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Publisher: Cambridge University Press
Print publication year: 2022

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References

Abramson, C. I., & Chicas-Mosier, A. M. (2016). Learning in plants: Lessons from Mimosa pudica. Frontiers in Psychology, 7, 417.Google Scholar
Adelman, B. E. (2018). On the conditioning of plants: A review of experimental evidence. Perspectives on Behavior Science, 41, 431446.Google Scholar
Akins, C. K. (2004). The role of Pavlovian conditioning in sexual behavior: A comparative analysis of human and nonhuman animals. International Journal of Comparative Psychology, 17, 241262.Google Scholar
Alvarez, B., Morís, J., Luque, D., & Loy, I. (2014). Extinction, spontaneous recovery and reinstatement in the garden snail, Helix aspersa. Animal Behaviour, 92, 7583.Google Scholar
Ardiel, E. L., & Rankin, C. H. (2010). An elegant mind: Learning and memory in Caenorhabditis elegans. Learning & Memory, 17, 191201.Google Scholar
Armus, H. L., Montgomery, A. R., & Jellison, J. L. (2006). Discrimination learning in paramecia (P. caudatum). Psychological Record, 56, 489498.Google Scholar
Bailey, C. H., & Chen, M. (1988). Long-term memory in Aplysia modulates the total number of varicosities of single identified sensory neurons. Proceedings of the National Academy of Sciences, 85, 23732377.Google Scholar
Balaban, P. M. (2002). Cellular mechanisms of behavioral plasticity in the terrestrial snail. Neuroscience & Biobehavioral Reviews, 26, 597630.Google Scholar
Benini, R., Oliveira, L. A., Gomes-de-Souza, L., & Crestani, C. C. (2019). Habituation of the cardiovascular responses to restraint stress in male rats: Influence of length, frequency and number of aversive sessions. Stress, 22, 151161.Google Scholar
Beran, M. J., Parrish, A. E., Perdue, B. M., & Washburn, D. A. (2014). Comparative cognition: Past, present, and future. International Journal of Comparative Psychology, 27, 330.Google Scholar
Best, J., Berghmans, S., Hunt, J., Clarke, S. C., Fleming, A., Goldsmith, P., & Roach, A. G. (2008). Non-associative learning in larval zebrafish. Neuropsychopharmacology, 33, 12061215.Google Scholar
Bicker, G., & Hähnlein, I. (1994). Long-term habituation of an appetitive reflex in the honeybee. Neuroreport, 30, 5456.Google Scholar
Bitterman, M. E. (1960). Toward a comparative psychology of learning. American Psychologist, 15, 704712.Google Scholar
Bitterman, M. E. (1969). Thorndike and the problem of animal intelligence. American Psychologist, 24, 444453.Google Scholar
Bitterman, M. E. (1975). The comparative analysis of learning: Are the laws of learning the same in all animals? Science, 188, 699709.Google Scholar
Bitterman, M. E. (1987). Evidence of divergence in vertebrate learning. Behavioral and Brain Sciences, 10, 659660.Google Scholar
Blumstein, D. T. (2016). Habituation and sensitization: New thoughts about old ideas. Animal Behaviour, 120, 255262.Google Scholar
Boesch, C. (2007). What makes us human (Homo sapiens)? The challenge of cognitive cross-species comparison. Journal of Comparative Psychology, 121, 227240.Google Scholar
Boisseau, R. P., Vogel, D., & Dussutour, A. (2016). Habituation in non-neural organisms: Evidence from slime moulds. Philosophical Transactions of the Royal Society B: Biological Sciences, 283, 20160446.Google ScholarPubMed
Boussard, A., Delescluse, J., Pérez-Escudero, A., & Dussutour, A. (2019). Memory inception and preservation in slime moulds: The quest for a common mechanism. Philosophical Transactions of the Royal Society B: Biological Sciences, 374, 20180368.Google Scholar
Braun, G., & Bicker, G. (1992). Habituation of an appetitive reflex in the honeybee. Journal of Neurophysiology, 67, 588598.Google Scholar
Brom, M., Both, S., Laan, E., Everaerd, W., & Spinhoven, P. (2014). The role of conditioning, learning and dopamine in sexual behavior: A narrative review of animal and human studies. Neuroscience and Biobehavioral Reviews, 38, 3859.Google Scholar
Bronfman, Z. Z., Ginsburg, S., & Jablonka, E. (2016). The transition to minimal consciousness through the evolution of associative learning. Frontiers in Psychology, 7, 1954.Google Scholar
Cao, J., Cole, I. B., & Murch, S. J. (2006). Neurotransmitters, neuroregulators and neurotoxins in the life of plants. Canadian Journal of Plant Science, 86, 11831188.Google Scholar
Cook, A. (1971). Habituation in a freshwater snail (Limnaea stagnalis). Animal Behaviour, 19, 463474.Google Scholar
Cook, M., & Mineka, S. (1990). Selective associations in the observational conditioning of fear in monkeys. Journal of Experimental Psychology: Animal Behavior Processes, 16, 372389.Google Scholar
Coombs, C. H. (1938). Adaptation of the galvanic response to auditory stimuli. Journal of Experimental Psychology, 22, 244268.CrossRefGoogle Scholar
Daniel, M. J., Koffinas, L., & Hughes, K. A. (2019). Habituation underpins preference for mates with novel phenotypes in the guppy. Proceedings of the Royal Society of London. Series B: Biological Sciences, 286, 20190435.Google Scholar
Darwin, C. R. (1859). On the origin of species by means of natural selection, or the preservation of favoured races in the struggle for life. London: John Murray.Google Scholar
Darwin, C. R. (1871). The descent of man and selection in relation to sex. New York, NY: Appleton.Google Scholar
Davis, W. J., & Mpitsos, G. J. (1971). Behavioral choice and habituation in the marine mollusk Pleurobranchaea californica MacFarland (Gastropoda, Opisthobranchia). Zeitschrift für vergleichende Physiologie, 75, 207232.Google Scholar
Dawson, S. J., Suschinsky, K. D., & Lalumière, M. L. (2013). Habituation of sexual responses in men and women: A test of the preparation hypothesis of women’s genital responses. Journal of Sexual Medicine, 10, 9901000.CrossRefGoogle ScholarPubMed
De Houwer, J., Barnes-Holmes, D., & Moors, A. (2013). What is learning? On the nature and merits of a functional definition of learning. Psychonomic Bulletin & Review, 20, 631642.Google Scholar
De la Fuente, I. M., Bringas, C., Malaina, I., Fedetz, M., Carrasco-Pujante, J., Morales, M., … Boyano, M. D. (2019). Evidence of conditioned behavior in amoebae. Nature Communications, 10, 3690.Google Scholar
De Luca, M. A. (2014). Habituation of the responsiveness of mesolimbic and mesocortical dopamine transmission to taste stimuli. Frontiers in Integrative Neuroscience, 8, 21.Google Scholar
Domjan, M. (2005). Pavlovian conditioning: A functional perspective. Annual Review of Psychology, 56, 179206.Google Scholar
Domjan, M. (2017). The essentials of conditioning and learning, 4th ed. Washington, DC: American Psychological Association.Google Scholar
Domjan, M., Cusato, B., & Krause, M. (2004). Learning with arbitrary vs. ecological conditioned stimuli: Evidence from sexual conditioning. Psychonomic Bulletin & Review, 11, 232246.Google Scholar
Domjan, M., & Gutiérrez, G. (2019). The behavior system for sexual learning. Behavioural Processes, 162, 184196.Google Scholar
Dong, S., & Clayton, D. F. (2009). Habituation in songbirds. Neurobiology of Learning and Memory, 92, 183188.Google Scholar
Dunlap, A., & Stephens, D. W. (2009). Components of change in the evolution of learning and unlearned preference. Proceedings of the Royal Society of London. Series B: Biological Sciences, 276, 32013208.Google ScholarPubMed
Escobar, M., Arcediano, F., & Miller, R. R. (2003). Latent inhibition in human adults without masking. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 10281040.Google Scholar
Escobar, M., Dunaway, E. P., & Gennaro, K. (2014). Conditioned avoidance responses survive contingency degradation in the garden slug, Lehmannia valentiana. Learning & Behavior, 42, 305312.Google Scholar
Esdin, J., Pearce, K., & Glanzman, D. L. (2010). Long-term habituation of the gill-withdrawal reflex in Aplysia requires gene transcription, calcineurin and l-type voltage-gated calcium channels. Frontiers in Behavioral Neuroscience, 4, 181.Google Scholar
Ferster, C. B., & Skinner, B. F. (1957). Schedules of reinforcement. New York, NY: Appleton-Century-Crofts.CrossRefGoogle ScholarPubMed
Frost, W. N., Brandon, C. L., & Van Zil, C. (2006). Long-term habituation in the marine mollusk Tritonia diomedea. Biological Bulletin, 210, 230237.Google Scholar
Gagliano, M., Renton, M., Depczynski, M., & Mancuso, S. (2014). Experience teaches plants to learn faster and forget slower in environments where it matters. Oecologia, 175, 6372.Google Scholar
Gagliano, M., Vyazovskiy, V. V., Borbély, A. A., Grimonprez, M., & Depczynski, M. (2016). Learning by association in plants. Scientific Reports, 6, 38427.Google Scholar
Ginsburg, S., & Jablonka, E. (2010). The evolution of associative learning: A factor in the Cambrian explosion. Journal of Theoretical Biology, 266, 1120.Google Scholar
Glanzman, D. L. (2009). Habituation in Aplysia: The Cheshire cat of neurobiology. Neurobiology of Learning and Memory, 92, 147154.Google Scholar
Griffin, D. R. (1978). Prospects for a cognitive ethology. Behavioral and Brain Sciences, 4, 527538.Google Scholar
Groves, P. M., & Thompson, R. F. (1970). Habituation: A dual-process theory. Psychological Review, 77, 419450.Google Scholar
Grunwald, D. J., & Eisen, J. S. (2002). Headwaters of the zebrafish: Emergence of a new model vertebrate. Nature Reviews Genetics, 3, 717724.Google Scholar
Hancock, P. A. (2013). In search of vigilance: The problem of iatrogenically created psychological phenomena. American Psychologist, 68, 97109.Google Scholar
Harris, J. D. (1943). Habituatory response decrement in the intact organism. Psychological Bulletin, 40, 385422.Google Scholar
Hawkins, R. D., & Byrne, J. H. (2015). Associative learning in invertebrates. Cold Spring Harbor Perspectives in Biology, 7, a021709.Google Scholar
Hawkins, R. D., Greene, W., & Kandel, E. R. (1998). Classical conditioning, differential conditioning, and second-order conditioning of the Aplysia gill-withdrawal reflex in a simplified mantle organ preparation. Behavioral Neuroscience, 112, 636645.Google Scholar
Helton, W. S., & Russell, P. N. (2015). Rest is best: The role of rest and task interruptions on vigilance. Cognition, 134, 165173.Google Scholar
Herrmann, E., Call, J., Hernandez-Lloredo, M. V., Hare, B., & Tomasello, M. (2007). Humans have evolved specialized skills of social cognition: The cultural intelligence hypothesis. Science, 317, 13601366.Google Scholar
Hollis, K. L. (1997). Contemporary research on Pavlovian conditioning: A “new” functional analysis. American Psychologist, 52, 956965.Google Scholar
Hollis, K. L., & Guillette, L. M. (2015). What associative learning in insects tells us about the evolution of learned behavior. International Journal of Comparative Psychology, 28. doi: 10.46867/ijcp.2015.28.01.07CrossRefGoogle Scholar
Hughes, S. M., Aung, T., Harrison, M. A., LaFayette, J. N., & Gallup, J. J. Jr. (2020). Experimental evidence for sex differences in sexual variety preferences: Support for the Coolidge effect in humans. Archives of Sexual Behavior. doi: 10.1007/s10508–020-01730-xGoogle Scholar
Humphrey, B., Helton, W. S., Bedoya, C., Dolev, Y., & Nelson, X. J. (2018). Psychophysical investigation of vigilance decrement in jumping spiders: Overstimulation or understimulation? Animal Cognition, 21, 787794.Google Scholar
Humphrey, G. (1933). The nature of learning in its relation to the living system. New York, NY: Harcourt, Brace.Google Scholar
Innis, N. K., & Staddon, J. E. R. (1989). What should comparative psychology compare? International Journal of Comparative Psychology, 2, 145156.Google Scholar
James, W. (1890). The principles of psychology. New York, NY: Dover.Google Scholar
Jennings, H. S. (1902). Studies on reactions to stimuli in unicellular organisms. IX. On the behavior of fixed infusoria (Stentor and Vorticella) with special reference to the modifiability of protozoan reactions. American Journal of Physiology, 8, 2360.Google Scholar
Jordan, W. P., Strasser, H. C., & McHale, L. (2000). Contextual control of long-term habituation in rats. Journal of Experimental Psychology: Animal Behavior Processes, 26, 323339.Google Scholar
Liedtke, J., & Schneider, J. M. (2014). Association and reversal learning abilities in a jumping spider. Behavioural Processes, 103, 192198.Google Scholar
Lloyd, D. R., Medina, D. J., Hawk, L. W., Fosco, W. D., & Richards, J. B. (2014). Habituation of reinforcer effectiveness. Frontiers in Integrative Neuroscience, 7, 107.Google Scholar
LoBue, V., Rakison, D. H., & DeLoache, J S. (2010). Threat perception across the life span: Evidence for multiple converging pathways. Current Directions in Psychological Science, 19, 375379.Google Scholar
Lorenz, K. (1971). Comparative studies of the motor patterns of Anatinae. In Lorenz, K. (Ed.), Studies in animal and human behavior (Vol. 2, pp. 14114). Cambridge, MA: Harvard University Press.Google Scholar
Lubow, R. E., & Moore, A. U. (1959). Latent inhibition: The effect of nonreinforced pre-exposure to the conditional stimulus. Journal of Comparative and Physiological Psychology, 52, 415419.Google Scholar
Melrose, A., Nelson, X. J., Dolev, Y., & Helton, W. S. (2019). Vigilance all the way down: Vigilance decrement in jumping spiders resembles that of humans. Quarterly Journal of Experimental Psychology, 72, 15301538.Google Scholar
Mineka, S., & Zinbarg, R. (2006). A contemporary learning theory perspective on the etiology of anxiety disorders: It’s not what you thought it was. American Psychologist, 61, 1026.Google Scholar
Morgan, C. L. (1894). An introduction to comparative psychology. New York, NY: Scribner.Google Scholar
Morton, H., & Gorzalka, B. B. ( 2014). Role of partner novelty in sexual functioning: A review. Journal of Sex and Marital Therapy, 41, 593609.Google Scholar
Nelson, X. J., Helton, W. S., & Melrose, A. (2019). The effect of stimulus encounter rate on response decrement in jumping spiders. Behavioural Processes, 159, 5759.Google Scholar
Pavlov, I. P. (1927). Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex. Oxford: Oxford University Press.Google Scholar
Penn, D. C., Holyoak, K. J., & Povinelli, D. J. (2008). Darwin’s mistake: Explaining the discontinuity between human and nonhuman minds. Behavioural Brain Sciences, 31, 109130.Google Scholar
Pilz, P. K. D., Carl, T. D., & Plappert, C. F. (2004). Habituation of the acoustic and the tactile startle responses in mice: Two independent sensory processes. Behavioral Neuroscience, 118, 975983.Google Scholar
Pinsker, H., Kupfermann, I., Vincent, C., & Kandel, E. (1970). Habituation and dishabituation of the gill-withdrawal reflex in Aplysia. Science, 167, 17401742.CrossRefGoogle ScholarPubMed
Porter, J. M. (1938). Adaptation of the galvanic skin response. Journal of Experimental Psychology, 23, 553557.Google Scholar
Powell, E. J., Escobar, M., & Kimble, W. (2013). Delaying interference training has equivalent effects in various Pavlovian interference paradigms. Learning & Memory, 20, 241244.Google Scholar
Prados, J., Alvarez, B., Acebes, F., Loy, I., Sansa, J., & Moreno-Fernández, M. M. (2013). Blocking in rats, humans and snails using a within-subjects design. Behavioural Processes, 100, 2331.Google Scholar
Premack, D. (2007). Human and animal cognition: Continuity and discontinuity. Proceedings of the National Academy of Sciences, 104, 1386113867.Google Scholar
Premack, D. (2010). Why humans are unique: Three theories. Perspectives in Psychological Science, 5, 2232.Google Scholar
Randlett, O., Haesemeyer, M., Forkin, G., Shoenhard, H., Schier, A. F., Engert, F., & Granato, M. (2019). Distributed plasticity drives visual habituation learning in larval zebrafish. Current Biology, 29, 13371345.Google Scholar
Rankin, C. H., Abrams, T., Barry, R. J., Bhatnagar, S., Clayton, D. F., Colombo, J., … Thompson, R. F. (2009). Habituation revisited: An updated and revised description of the behavioral characteristics of habituation. Neurobiology of Learning and Memory, 92, 135138.Google Scholar
Rankin, C. H., & Broster, B. S. (1992). Factors affecting habituation and recovery from habituation in the nematode Caenorhabditis elegans. Behavioral Neuroscience, 106, 239249.Google Scholar
Rankin, C. H., Gannon, T., & Wicks, S. R. (2000). Developmental analysis of habituation in the nematode C. elegans. Developmental Psychobiology, 36, 261270.3.0.CO;2-7>CrossRefGoogle ScholarPubMed
Ridgway, S., Keogh, M., Carder, D., Finneran, J., Kamolnick, T., Todd, M., & Goldblatt, A. (2009). Dolphins maintain cognitive performance during 72 to 120 hours of continuous auditory vigilance. Journal of Experimental Biology, 212, 15191527.Google Scholar
Romanes, G. J. (1883). Mental evolution in animals. London: Kegan Paul Trench & Co.Google Scholar
Rose, J. K., & Rankin, C. H. (2001). Analyses of habituation in Caenorhabditis elegans. Learning & Memory, 8, 6369.Google Scholar
Schwartz, A., & Koller, D. (1986). Diurnal phototropism in solar tracking leaves of Lavatera cretica. Plant Physiology, 80, 778781.Google Scholar
Searcy, W. A. (1992). Song repertoire and mate choice in birds. American Zoologist, 32, 7180.Google Scholar
Skinner, B. F. (1938). The behavior of organisms: An experimental analysis. New York, NY: Appleton-Century.Google Scholar
Staddon, J. E. R., & Higa, J. J. (1996). Multiple time scales in simple habituation. Psychological Review, 103, 720733.Google Scholar
Suckling, D. M., Stringer, L. D., Jiménez-Pérez, A., Walter, G. M., Sullivan, N., & El-Sayed, A. M. (2018). With or without pheromone habituation: Possible differences between insect orders? Pest Management Science, 74, 12591264.Google Scholar
Tan, C. K., Løvlie, H., Greenway, E., Goodwin, S. F., Pizzari, T., & Wigby, S. (2013). Sex-specific responses to sexual familiarity, and the role of olfaction in Drosophila. Proceedings of the Royal Society of London. Series B: Biological Sciences, 280, 20131691.Google Scholar
Thompson, R. F. (2009). Habituation: A history. Neurobiology of Learning and Memory, 92, 127134.Google Scholar
Thompson, R. F., & Spencer, W. A. (1966). Habituation: A model phenomenon for the study of neuronal substrates of behavior. Psychological Review, 73, 1643.Google Scholar
Thomson, D. R., Besner, D., & Smilek, D. (2015). A resource-control account of sustained attention: Evidence from mind-wandering and vigilance paradigms. Perspectives on Psychological Science, 10, 8296.Google Scholar
Thorndike, E. L. (1911). Animal intelligence: Experimental studies. New York, NY: Macmillan.Google Scholar
Thorndike, E. L. (1927). The law of effect. American Journal of Psychology, 39, 212222.Google Scholar
Tokarz, R. R. (1992). Male mating preference for unfamiliar females in the lizard, Anolis sagrei. Animal Behaviour, 44, 843849.Google Scholar
Tomasello, M., & Call, J. (1997). Primate cognition. Oxford: Oxford University Press.Google Scholar
Typlt, M., Mirkowski, M., Azzopardi, E., Ruth, P., Pilz, P. K., & Schmid, S. (2013). Habituation of reflexive and motivated behavior in mice with deficient BK channel function. Frontiers in Integrative Neuroscience, 7, 79.Google Scholar
Uchida, K., Suzuki, K. K., Shimamoto, T., Yanagawa, H., & Koizumi, I. (2019). Decreased vigilance or habituation to humans? Mechanisms on increased boldness in urban animals. Behavioral Ecology, 30, 15831590.Google Scholar
Vogel, D., & Dussutour, A. (2016). Direct transfer of learned behaviour via cell fusion in non-neural organisms. Proceedings of the Royal Society of London. Series B: Biological Sciences, 283, 20162382.Google Scholar
Wasserman, E. A. (1993a). Comparative cognition: Beginning the second century of the study of animal intelligence. Psychological Bulletin, 113, 211228.Google Scholar
Wasserman, E. A. (1993b). Comparative cognition: Toward a general understanding of cognition in behavior. Psychological Science, 4, 156161.Google Scholar
Werka, T., Walasek, G., & Świrszcz, K. (2004). Effects of stimulus modality on the shuttle activity in rats. Behavioural Brain Research, 151, 327329.Google Scholar
Wilson, C., & Groves, P. M. (1972). Measurement of acoustic startle response in mice. Behavior Research Methods & Instrumentation, 4, 1314.Google Scholar
Wood, D. C. (1970). Parametric studies of the response decrement produced by mechanical stimuli in the protozoan, Stentor coeruleus. Journal of Neurobiology, 1, 345360.Google Scholar
Wright, A. A. (2010). Functional relationships for determining similarities and differences in comparative cognition. Behavioural Processes, 85, 246251.Google Scholar
Yerkes, R. M. (1905). Animal psychology and criteria of the psychic. Journal of Philosophy Psychology and Scientific Methods, 2, 141149.Google Scholar

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