Collective motion in animal groups from a neurobiological perspective: The adaptive benefits of dynamic sensory loads and selective attention

Journal of Theoretical Biology

Volumn 261, Issue 4, 2009, Pages 501-510

  Lemasson, B H ^a   Anderson, J J ^a   Goodwin, R A ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b Environmental Laboratory   (United States)

Author keywords

Collective behavior; Decision making; Information; Retina; Trafalgar effect; Vision

Indexed keywords

DECISION MAKING; INFORMATION PROCESSING; MODELING; NEUROLOGY; SENSORY SYSTEM;

ANIMAL BEHAVIOR; ARTICLE; ATTENTION; COGNITION; DECISION MAKING; MOVEMENT PERCEPTION; NEUROBIOLOGY; PRIORITY JOURNAL; RETINA; SENSORY SYSTEM; VISUAL STIMULATION;

ADAPTATION, PHYSIOLOGICAL; ANIMAL COMMUNICATION; ANIMALS; ATTENTION; BEHAVIOR, ANIMAL; DECISION MAKING; EVOLUTION; MENTAL PROCESSES; MODELS, BIOLOGICAL; MOVEMENT; SENSATION; VISUAL PERCEPTION;

ANIMALIA;

EID: 70350568732     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2009.08.013     Document Type: Article

References (57)

1. Aoki I. A simulation study on the schooling mechanism in fish. Bull. Jpn. Soc. Sci. Fish. 48 8 (1982) 1081-1088
2. Ballerini M., Cabibbo N., Candelier R., Cavagna A., Cisbani E., Giardina I., Lecomte V., Orlandi A., Parisi G., Procaccini A., Viale M., and Zdravkovic V. Interaction ruling animal collective behavior depends on topological rather than metric distance: evidence from a field study. Proc. Natl. Acad. Sci. USA 105 4 (2008) 1232-1237
3. Batty R., and Domenici P. Predator-prey relationships in fish and other vertebrates: kinematics and behaviour. In: Domenici P., and Blake R. (Eds). Biomechanics in Animal Behaviour (2000), BIOS Scientific Publishers Ltd, Oxford 237-257
4. Berry II M., Brivanlou I., Jordan T., and Meister M. Anticipation of moving stimuli by the retina. Nature 398 (1999) 334-338
5. Bogacz R. Optimal decision making theories: linking neurobiology with behaviour. Trends Cognit. Sci. 11 3 (2007) 118-125
6. Borst A. Models of motion detection. Nature 3 (2000) 1168
7. Borst A. Correlation versus gradient type motion detectors: the pros and cons. Philos. Trans. R. Soc. B 362 (2007) 369-374
8. Breder C. Equations descriptive of fish schooling and other animal aggregations. Ecology 35 3 (1954) 361-370
9. Conradt L., and Roper T. Group decision-making in animals. Nature 421 9 (2003) 155-185
10. Couzin I., Krause J., James R., Ruxton G., and Franks N. Collective memory and spatial sorting in animal groups. J. Theor. Biol. 218 (2002) 1-11
11. Couzin I., James R., Mawdsley D., Croft D., and Krause J. Social organization and information transfer in schooling fishes. In: Brown C., LaLand K., and Krause J. (Eds). Fish Cognition and Behavior (2006), Blackwell Publishing Ltd, Oxford 166-185
12. Couzin I. Collective cognition in animal groups. Trends Cognit. Sci. 13 1 (2009) 36-43
13. Dall S., Giraldeau L., Olsson O., McNamara J., and Stephens D. Information and its use by animals in evolutionary ecology. Trends Ecol. Evol. 20 4 (2005) 187-193
14. Domenici P., and Batty R. Escape manoeuvres in schooling Clupea harengus. J. Fish. Biol. 45 Suppl. A (1994) 97-110
15. Dukas R. Constraints on information processing and their effects on behavior. In: Dukas R. (Ed). Cognitive Ecology. The Evolutionary Ecology of Information Processing and Decision Making (1998), University of Chicago Press, Chicago, IL 89-127
16. Endler J. Signals, signal conditions, and the direction of evolution. Am. Nat. 139 (1992) S125-S153
17. Farkas I., Helbing D., and Vicsek T. Mexican waves in an excitable medium. Nature 419 (2002) 131-132
18. Franz M., Chahl J., and Krapp H. Insect-inspired estimation of egomotion. Neural Comput. 16 (2004) 2245-2260
19. Fried S., Münch T., and Werblin F. Mechanisms and circuitry underlying directional selectivity in the retina. Nature 420 (2002) 411-414
20. Gerlotto F., Bertrand S., Bez N., and Gutierrez M. Waves of agitation inside anchovy schools observed with multibeam sonar: a way to transmit information in response to predation. ICES J. Mar. Sci. 63 (2006) 1405-1417
21. Gold J., and Shadlen M. The neural basis of decision-making. Annu. Rev. Neurosci. 30 (2007) 535-574
22. Grégoire G., Chaté J., and Tu Y. Moving and staying together without a leader. Physica D 181 (2003) 157-170
23. Hamilton W. Geometry for the selfish herd. J. Theor. Biol. 31 (1971) 295-311
24. Horridge G. The evolution of visual processing and the construction of seeing systems. Proc. R. Soc. Biol. Sci. Ser. B 230 1260 (1987) 279-292
25. Hosoya T., Baccus S., and Meister M. Dynamic predictive coding by the retina. Nature 436 (2005) 71-77
26. Huth A., and Wissel C. The simulation of the movement of fish schools. J. Theor. Biol. 156 (1992) 365-386
27. Inada Y., and Kawachii K. Order and flexibility in the motion of fish schools. J. Theor. Biol. 214 (2002) 371-387
28. Krause J., and Ruxton G. Living in Groups (2002), Oxford University Press, Oxford
29. Laughlin S., de Ruyter van Steveninck R., and Anderson J. The metabolic costs of neural information. Nature 1 1 (1998) 36-41
30. Lythgoe J. The Ecology of Vision (1979), Clarendon Press and Oxford University Press, New York
31. Manwani A., and Koch C. Detecting and estimating signals in noisy cable structures: I. Neuronal noise sources. Neural Comput. 11 9 (1999) 1797-1829
32. Meister M., and Berry II M. The neural code of the retina. Neuron 22 (1999) 435-450
33. Nirenberg S., and Latham P. Decoding neuronal spike trains: How important are correlations?. Proc. Natl. Acad. Sci. USA 100 12 (2003) 7348-7353
34. Niven J., and Laughlin S. Energy limitation as a selective pressure on the evolution of sensory systems. J. Exp. Biol. 211 (2008) 1792-1804
35. Niwa H. Self-organizing dynamic model of fish schooling. J. Theor. Biol. 171 (1994) 123-136
36. Okubo A. Diffusion and Ecological Problems: Mathematical Models vol. 10 (1980), Springer, Berlin
37. Ölveczky B., Baccus S., and Meister M. Segregation of object and background motion in the retina. Nature 423 (2003) 401-408
38. Parrish J., Viscido S., and Grünbaum D. Self-organized fish schools: an examination of emergent properties. Biol. Bull. 202 (2002) 296-305
39. Pimentel J., Aldana M., Huepe C., and Larralde H. Intrinsic and extrinsic noise effects on phase transitions of network models with applications to swarming systems. Phys. Rev. E 77 061138 (2008) 1-17
40. Pitcher T., and Wyche C. Predator-avoidance behaviours of sand-eel schools: why schools seldom split. In: Noakes D., Lindquist B., Helfman G., and Ward J. (Eds). Predators and Prey in Fishes (1983), Dr. W. Junk Publishers, The Hague, Netherlands 193-204
41. Radakov D.V. Schooling in the Ecology of Fish (1973), Wiley, New York
42. Rapoport A. Mathematical Models in the Social and Behavioral Sciences (1983), Wiley, New York
43. Rind F., and Simmons P. Seeing what is coming: building collision sensitive neurons. Trends Neurosci. 22 (1999) 215-220
44. Shettleworth S.J. Cognition, Evolution and Behavior (1998), Oxford University Press, New York
45. Srinivasan M., Laughlin S., and Dubs A. Predictive coding: a fresh view of inhibition in the retina. Proc. R. Soc. London B Biol. Sci. 216 1205 (1982) 427-459
46. Srinivasan M., and Zhang S. Visual motor computations in insects. Annu. Rev. Neurosci. 27 (2004) 679-696
47. Sumpter D. The principles of collective animal behaviour. Philos. Trans. R. Soc. B 361 (2006) 5-22
48. Sumpter D., Buhl J., Biro D., and Couzin I. Information transfer in moving animal groups. Theor. Biosci. 127 (2008) 177-186
49. Treherne J., and Foster W. Group transmission of predator avoidance behaviour in a marine insect: the Trafalgar effect. Anim. Behav. 29 (1981) 911-917
50. Tsukamoto Y., Smith R., and Sterling P. "Collective coding" of correlated cone signals in the retinal ganglion cell. Proc. Natl. Acad. Sci. USA 87 (1990) 1860-1864
51. Vicsek T., Czirók A., Ben-Jacob E., Cohen I., and Shochet O. Novel type of phase transition in a system of self-driven particles. Phys. Rev. Lett. 75 6 (1995) 1226-1229
52. Viscido S., Miller M., and Wethey D. The dilemma of the selfish herd: the search for a realistic movement rule. J. Theor. Biol. 217 (2002) 183-194
53. Viscido S., Parrish J., and Grünbaum D. Individual behavior and emergent properties of fish schools: a comparison of observation and theory. Mar. Ecol. Prog. Ser. 272 (2004) 239-249
54. Viscido S., Parrish J., and Grünbaum D. The effect of population size and number of influential neighbors on the emergent properties of fish schools. Ecol. Model. 183 (2005) 347-363
55. Viscido S., Parrish J., and D. Grünbaum D. Factors influencing the structure and maintenance of fish schools. Ecol. Model. 206 (2007) 153-165
56. Warburton K., and Lazarus J. Tendency-distance models of social cohesion in animal groups. J. Theor. Biol. 150 (1991) 473-488
57. Warburton K. Social forces in animal congregations: interactive, motivational, and sensory aspects. In: Parrish J., and Hamner W. (Eds). Animal Groups in Three Dimensions (1997), Cambridge University Press, New York 313-333