Skip to main content

Advertisement

Log in

Elasmobranch cognitive ability: using electroreceptive foraging behaviour to demonstrate learning, habituation and memory in a benthic shark

  • Original Paper
  • Published:
Animal Cognition Aims and scope Submit manuscript

Abstract

Top predators inhabiting a dynamic environment, such as coastal waters, should theoretically possess sufficient cognitive ability to allow successful foraging despite unpredictable sensory stimuli. The cognition-related hunting abilities of marine mammals have been widely demonstrated. Having been historically underestimated, teleost cognitive abilities have also now been significantly demonstrated. Conversely, the abilities of elasmobranchs have received little attention, despite many species possessing relatively large brains comparable to some mammals. The need to determine what, if any, cognitive ability these globally distributed, apex predators are endowed with has been highlighted recently by questions arising from environmental assessments, specifically whether they are able to learn to distinguish between anthropogenic electric fields and prey bioelectric fields. We therefore used electroreceptive foraging behaviour in a model species, Scyliorhinus canicula (small-spotted catshark), to determine cognitive ability by analysing whether elasmobranchs are able to learn to improve foraging efficiency and remember learned behavioural adaptations. Positive reinforcement, operant conditioning was used to study catshark foraging behaviour towards artificial, prey-type electric fields (Efields). Catsharks rewarded with food for responding to Efields throughout experimental weeks were compared with catsharks that were not rewarded for responding in order to assess behavioural adaptation via learning ability. Experiments were repeated after a 3-week interval with previously rewarded catsharks this time receiving no reward and vice versa to assess memory ability. Positive reinforcement markedly and rapidly altered catshark foraging behaviour. Rewarded catsharks exhibited significantly more interest in the electrical stimulus than unrewarded catsharks. Furthermore, they improved their foraging efficiency over time by learning to locate and bite the electrodes to gain food more quickly. In contrast, unrewarded catsharks showed some habituation, whereby their responses to the electrodes abated and eventually entirely ceased, though they generally showed no changes in most foraging parameters. Behavioural adaptations were not retained after the interval suggesting learned behaviour was not memorised beyond the interval. Sequences of individual catshark search paths clearly illustrated learning and habituation behavioural adaptation. This study demonstrated learning and habituation occurring after few foraging events and a memory window of between 12 h and 3 weeks. These cognitive abilities are discussed in relation to diet, habitat, ecology and anthropogenic Efield sources.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Aronson LR, Aronson FR, Clarke E (1967) Instrumental conditioning and light-dark discrimination in young nurse sharks. B Mar Sci 17:249–256

    Google Scholar 

  • Boehlert GW, Gill AB (2010) Environmental and ecological effects of ocean renewable energy development—a current synthesis. Oceanography 23:68–81

    Article  Google Scholar 

  • Brown C, Braithwaite VA (2005) Effects of predation pressure on the cognitive ability of the poeciliid Brachyraphis episcopi. Behav Ecol 16:482–487

    Article  Google Scholar 

  • Brown C, Markula A, Laland K (2003) Social learning of prey location in hatchery reared Atlantic salmon. J Fish Biol 63:738–745

    Article  Google Scholar 

  • Brown C, Laland K, Krause J (2006) Fish cognition and behaviour. Blackwell Publishing Ltd, Oxford

    Google Scholar 

  • Bryan JE, Larkin PA (1972) Food specialization by individual trout. J Bull Fish Res Board Can 29:1615–1624

    Article  Google Scholar 

  • Church RM (1964) Systematic effect of random error in the yoked control design. Psychol Bull 62(2):122–131

    Article  CAS  PubMed  Google Scholar 

  • Clark E (1959) Instrumental conditioning of lemon sharks. Science 130:217–218

    Article  CAS  PubMed  Google Scholar 

  • Clark E (1961) Visual discrimination in lemon sharks. In: Tenth Pacific science congress, University of Hawaii, Honolulu, USA, 21 August—6 September 10:175–176

  • Compagno L, Dando M, Fowler S (2005) Sharks of the world. HarperCollins Publishers Ltd, London

    Google Scholar 

  • Croy MI, Hughes RN (1991) The role of learning and memory in the feeding behaviour of the fifteen-spined stickleback, Spinachia spinachia L. Anim Behav 41:149–159

    Article  Google Scholar 

  • Csanyi V, Csizmadia G, Miklosi A (1989) Long-term memory and recognition of another species in the paradise fish. Anim Behav 37:908–911

    Article  Google Scholar 

  • Dawson BG, Heyer GV, Eppi R, Kalmijn AJ (1980) Field experiments on electrically evoked feeding responses in the dogfish shark, Mustelus canis. Biol Bull 159:482

    Google Scholar 

  • Demski LS, Northcutt RG (1996) The brain and cranial nerves of the white shark: an evolutionary perspective. In: Klimley AP, Ainley DG (eds) White sharks: the biology of Carcharadon carcharias. Academic Press, London, pp 121–131

    Chapter  Google Scholar 

  • Dill LM (1983) Adaptive flexibility in the foraging behavior of fishes. Can J Fish Aquat Sci 40:398–408

    Article  Google Scholar 

  • Ellis JR, Pawson MG, Shackley SE (1996) The comparative feeding ecology of six species of shark and four species of ray (Elasmobranchii) in the North-east Atlantic. J Mar Biol Ass UK 76:89–106

    Article  Google Scholar 

  • Gill AB, Kimber JA (2005) The potential for cooperative management of elasmobranchs and offshore renewable energy development in UK waters. J Mar Biol Ass UK 85:1075–1081

    Article  Google Scholar 

  • Gill AB, Gloyne-Phillips I, Neal KJ, Kimber JA (2005) The potential effects of electromagnetic fields generated by sub-sea power cables associated with offshore wind farm developments on electrically and magnetically sensitive marine organisms. (COWRIE stage 1.5). Report number COWRIE EMF 06-2004

  • Girvan JR, Braithwaite VA (1998) Population differences in spatial learning in three-spined sticklebacks. Proc R Soc Lond B 265:913–918

    Article  Google Scholar 

  • Graeber RC, Ebbesson SO (1972) Visual discrimination learning in normal and tectal-ablated nurse sharks (Ginglymostoma cirratum). Comp Biochem Physiol A 42:131–139

    Article  CAS  PubMed  Google Scholar 

  • Graeber RC, Ebbesson SO, Jane JA (1978) Visual discrimination following partial telencephalic ablations in nurse sharks (Ginglymostoma cirratum). J Comp Neurol 180:325–344

    Article  CAS  PubMed  Google Scholar 

  • Guinet C, Bouvier J (1995) Development of intentional stranding hunting techniques in killer whale (Orcinus orca) calves at Crozet Archipelago. Can J Zool 73:27–33

    Article  Google Scholar 

  • Guttridge TL, van Dijk S, Stamhuis EJ, Krause J, Gruber SH, Brown C (2012) Social learning in juvenile lemon sharks, Negaprion brevirostris. Anim Cogn 16(1):55–64

    Article  PubMed  Google Scholar 

  • Heyer GW, Fields MC, Fields RD, Kalmijn AJ (1981) Field experiments on electrically evoked feeding responses in the pelagic blue shark, Prionace glauca. Biol Bull 161:345–346

    Google Scholar 

  • Hirvonen H, Ranta E, Rita H, Peuhkuri N (1999) Significance of memory properties in prey choice decisions. Ecol Model 115:177–189

    Article  Google Scholar 

  • Hodgson ES, Mathewson RF (1971) Chemosensory orientation in sharks. Ann NY Acad Sci 188:175–182

    Article  CAS  PubMed  Google Scholar 

  • Hughes RN, Blight CM (1999) Algorithmic behaviour and spatial memory are used by two intertidal fish species to solve the radial maze. Anim Behav 58:601–613

    Article  PubMed  Google Scholar 

  • Kaiser MJ, Westhead AP, Hughes RN, Gibson RN (1992) Are digestive characteristics important contributors to the profitability of prey? A study of diet selection in the fifteen-spined stickleback Spinachia spinachia (L.). Oecologia 90:61–69

    Article  Google Scholar 

  • Kalmijn AJ (1971) The electric sense of sharks and rays. J Exp Biol 55:371–383

    CAS  PubMed  Google Scholar 

  • Kalmijn AJ (1972) Bioelectric fields in sea water and the function of the ampullae of Lorenzini in elasmobranch fishes. SIO Ref Ser 72–83:1–21

    Google Scholar 

  • Kimber JA, Sims DW, Bellamy PH, Gill AB (2009) Male-female interactions affect foraging behaviour within groups of small- potted catshark, Scyliorhinus canicula. Anim Behav 77:1435–1440

    Article  Google Scholar 

  • Kimber JA, Sims DW, Bellamy PH, Gill AB (2011) The ability of a benthic elasmobranch to discriminate between biological and artificial electric fields. Mar Biol 158(1):1–8

    Article  Google Scholar 

  • Kuba MJ, Byrne RA, Burghardt GM (2010) A new method for studying problem solving and tool use in stingrays (Potamotrygon castexi). Anim Cogn 13(3):507–513

    Article  PubMed  Google Scholar 

  • Kuczaj SA, Gory JD, Xitco MJ (2009) How intelligent are dolphins? A partial answer based on their ability to plan their behavior when confronted with novel problems. Jap J Anim Psychol 59:99–115

    Article  Google Scholar 

  • Laland KN, Brown C, Krause J (2003) Learning in fishes: from 3-s memory to culture. Fish Fish 4:199–202

    Article  Google Scholar 

  • Laptikhovsky VV, Arkhipkin AI, Henderson AC (2001) Feeding habits and dietary overlap in spiny dogfish Squalus acanthias (Squalidae) and narrowmouth catshark Schroederichthys bivius (Scyliorhinidae). J Mar Biol Ass UK 81:1015–1018

    Google Scholar 

  • Lyle JM (1983) Food and feeding habits of the lesser spotted dogfish, Scyliorhinus canicula (L.), in Isle of man waters. J Fish Biol 23:725–737

    Article  Google Scholar 

  • Mackney PA, Hughes RN (1995) Foraging behaviour and memory window in sticklebacks. Behaviour 132:1231–1253

    Article  Google Scholar 

  • Maklakov AA, Immler S, Gonzalez-Voyer A, Ronn J, Kolm N (2011) Brains and the city: big-brained passerine birds succeed in urban environments. Biol Lett 7(5):730–732

    Article  PubMed Central  PubMed  Google Scholar 

  • Meyer CG, Papastamatiou YP, Holland KN (2010) A multiple instrument approach to quantifying the movement patterns and habitat use of tiger (Galeocerdo cuvier) and Galapagos sharks (Carcharhinus galapagensis) at French Frigate Shoals, Hawaii. Mar Biol 157:1857–1868

    Article  Google Scholar 

  • Micheli F (1997) Effects of experience on crab foraging in a mobile and a sedentary species. Anim Behav 53:1149–1159

    Article  PubMed  Google Scholar 

  • Myagkov NA (1991) The brain sizes of living elasmobranchii as their organization level indicator. I. General analysis. J Brain Res 32:553–561

    CAS  Google Scholar 

  • Nakagawa S, Cuthill IC (2007) Effect size, confidence interval and statistical significance: a practical guide for biologists. Biol Rev 82:591–605

    Article  PubMed  Google Scholar 

  • Nilsson J, Kristiansen TS, Fosseidengen JE, Ferno A, van den Bos R (2008) Learning in cod (Gadus morhua): long trace interval retention. Anim Cogn 11:215–222

    Article  PubMed  Google Scholar 

  • Northcutt RG (1978) Brain organization in cartilaginous fishes. In: Hodgson ES, Mathewson RF (eds) Sensory biology of sharks, skates and rays. US Office of Naval Research, Arlington, pp 117–193

    Google Scholar 

  • Odling-Smee L, Braithwaite VA (2003) The influence of habitat stability on landmark use during spatial learning in the three-spined stickleback. Anim Behav 65:701–707

    Article  Google Scholar 

  • Reader SM, MacDonald K (2003) Environmental variability and primate behavioural flexibility. In: Reader SM, Laland KN (eds) Animal innovation. Oxford University Press, Oxford

    Chapter  Google Scholar 

  • Ridet J-M, Bauchot R, Delfini C, Platel R, Thireau M (1973) L’encephale de Scyliorhinus canicula (Linne) (Chondrichthyes, Slacii, Scyliorhinidae). Recherche d’une grandeur de reference pour des etudes quantitatives. Cah Biol Mar 14:11–28

    Google Scholar 

  • Schluessel V, Bleckmann H (2005) Spatial memory and orientation strategies in the elasmobranch Potamotrygon motoro. J Comp Physiol A 191:695–706

    Article  Google Scholar 

  • Schusterman RJ, Kastak D (2002) Problem solving and memory. In: Hoelzel R (ed) Marine mammal biology: an evolutionary approach. Blackwell Science Ltd, Oxford, pp 371–388

    Google Scholar 

  • Shapiro AD, Slater PIB, Janik VM (2004) Call usage learning in gray seals (Halichoerus grypus). J Comp Physiol 118:447–454

    Google Scholar 

  • Similä T, Ugarte F (1993) Surface and underwater observations of cooperatively feeding killer whales in Northern Norway. Can J Zool 71:1494–1499

    Article  Google Scholar 

  • Sims DW, Davies SJ (1994) Does specific dynamic action (SDA) regulate return of appetite in the lesser spotted dogfish, Scyliorhinus canicula? J Fish Biol 45:341–348

    Google Scholar 

  • Sol D, Bacher S, Reader SM, Lefebvre L (2008) Brain size predicts the success of mammal species introduced into novel environments. Am Nat 172:S63–S71

    Article  PubMed  Google Scholar 

  • Stephens DW, Krebs JR (1986) Foraging theory. Princeton University Press, Princeton

    Google Scholar 

  • Sutherland WJ, Bailey MJ, Bainbridge IP, Brereton T, Dick JTA, Drewitt J, Gilder PM, Green RE, Heathwaite AL, Johnson SM, MacDonald DW, Mitchell R, Osborn D, Owen RP, Pretty J, Prior SV, Prosser H, Pullin AS, Rose P, Stott A, Tew T, Thomas CD, Thompson DBA, Vickery JA, Walker M, Walmsley C, Warrington S, Watkinson AR, Williams RJ, Woodroffe R, Woodroof HJ (2008) Future novel threats and opportunities facing UK biodiversity identified by horizon scanning. J Appl Ecol 45:821–833

    Article  Google Scholar 

  • Tricas TC, Sisneros JA (2004) Ecological functions and adaptations of the elasmobranch electrosense. In: von der Emde G, Mogdans J, Kapoor BG (eds) The senses of fishes: adaptations for the reception of natural stimuli. Narosa Publishing House, New Delhi, pp 308–329

    Chapter  Google Scholar 

  • Visser IN, Smith TG, Bullock ID, Green GD, Carlsson OG, Imberti S (2008) Antartic peninsula killer whales (Orcinus orca) hunt seals and a penguin on floating ice. Mar Mammal Sci 24:225–234

    Article  Google Scholar 

  • Wright T, Jackson R (1964) Instrumental conditioning of young sharks. Copeia 2:409–412

    Article  Google Scholar 

Download references

Acknowledgments

We thank J. Rundle for animal husbandry, K. Atkins for technical assistance, J. Mavin for help designing and constructing trap-door mechanism, I. Truckell for scanning assistance, B. Clutterbuck for assistance with ArcGIS, P. Rendle, P. Masterson, M. McHugh, J. Filer, V. Wearmouth, and the crew of R. V. Plymouth Quest for assistance with specimen collection. We also thank the anonymous reviewers for their comments. JAK was supported by a Fisheries Society of the British Isles funded studentship and by Cranfield University. DWS was supported by a Natural Environment Research Council (NERC) funded Marine Biological Association (MBA) Fellowship and by the NERC Oceans 2025 Strategic Research Programme (Theme 6 Science for Sustainable Marine Resources).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joel A. Kimber.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kimber, J.A., Sims, D.W., Bellamy, P.H. et al. Elasmobranch cognitive ability: using electroreceptive foraging behaviour to demonstrate learning, habituation and memory in a benthic shark. Anim Cogn 17, 55–65 (2014). https://doi.org/10.1007/s10071-013-0637-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10071-013-0637-8

Keywords

Navigation