Neuroscience Needs Behavior: Correcting a Reductionist Bias

Neuron

Volumn 93, Issue 3, 2017, Pages 480-490

  Krakauer, John W ^a   Ghazanfar, Asif A ^b   Gomez Marin, Alex ^c   MacIver, Malcolm A ^d   Poeppel, David ^e,f  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b PRINCETON UNIVERSITY   (United States)

^c INSTITUTO DE NEUROCIENCIAS   (Spain)

^d Northwestern University   (United States)

^e NEW YORK UNIVERSITY   (United States)

^f MAX PLANCK INSTITUTE FOR EMPIRICAL AESTHETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BEHAVIOR; BRADYKINESIA; BRAIN FUNCTION; BRAIN MAPPING; EXPERIMENT; HUMAN; MOTOR LEARNING; NEUROBIOLOGY; NEUROSCIENCE; NONHUMAN; REDUCTIONIST BIAS; REVIEW; SOUND DETECTION; SYSTEMATIC ERROR; THEORY; ANIMAL; BRAIN; PHYSIOLOGY; STATISTICAL BIAS; TASK PERFORMANCE;

ALGORITHMS; ANIMALS; BEHAVIOR; BIAS (EPIDEMIOLOGY); BRAIN; HUMANS; NEUROSCIENCES; TASK PERFORMANCE AND ANALYSIS;

EID: 85011874527     PISSN: 08966273     EISSN: 10974199     Source Type: Journal    
DOI: 10.1016/j.neuron.2016.12.041     Document Type: Review

References (68)

1. Anderson, P.W., More is different. Science 177 (1972), 393–396.
2. Anderson, D.J., Perona, P., Toward a science of computational ethology. Neuron 84 (2014), 18–31.
3. Badre, D., Frank, M.J., Moore, C.I., Interactionist Neuroscience. Neuron 88 (2015), 855–860.
4. Bargmann, C.I., Neurobiology of the Caenorhabditis elegans genome. Science 282 (1998), 2028–2033.
5. Bass, A.H., Chagnaud, B.P., Shared developmental and evolutionary origins for neural basis of vocal-acoustic and pectoral-gestural signaling. Proc. Natl. Acad. Sci. USA 109:Suppl 1 (2012), 10677–10684.
6. Bechtel, W., Mental Mechanisms: Philosophical Perspectives on Cognitive Neuroscience. 2008, Routledge.
7. Benichov, J.I., Benezra, S.E., Vallentin, D., Globerson, E., Long, M.A., Tchernichovski, O., The forebrain song system mediates predictive call timing in female and male zebra finches. Curr. Biol. 26 (2016), 309–318.
8. Bianco, I.H., Kampff, A.R., Engert, F., Prey capture behavior evoked by simple visual stimuli in larval zebrafish. Front. Syst. Neurosci., 5, 2011, 101.
9. Bickle, J., Marr and reductionism. Top. Cogn. Sci. 7 (2015), 299–311.
10. Bickle, J., Revolutions in neuroscience: Tool development. Front. Syst. Neurosci., 10, 2016, 24.
11. Borjon, J.I., Ghazanfar, A.A., Convergent evolution of vocal cooperation without convergent evolution of brain size. Brain Behav. Evol. 84 (2014), 93–102.
12. Carandini, M., From circuits to behavior: a bridge too far?. Nat. Neurosci. 15 (2012), 507–509.
13. Chang, H., Is Water H2O?: Evidence, Realism and Pluralism. Volume 293, 2012, Springer Science & Business Media.
14. Cooper, R.P., Peebles, D., Beyond single-level accounts: the role of cognitive architectures in cognitive scientific explanation. Top. Cogn. Sci. 7 (2015), 243–258.
15. Craver, C.F., Explaining the brain: mechanisms and the mosaic unity of neuroscience. Psychol. Med. 38 (2008), 899–900.
16. Dawkins, R., Hierarchical organisation: A candidate principle for ethology. Bateson, P., Hinde, R.A., (eds.) Growing Points in Ethology, 1976, Cambridge University Press, 7–54.
17. Dennett, D.C., The Intentional Stance. 1989, MIT Press.
18. di Pellegrino, G., Fadiga, L., Fogassi, L., Gallese, V., Rizzolatti, G., Understanding motor events: a neurophysiological study. Exp. Brain Res. 91 (1992), 176–180.
19. Dombeck, D.A., Reiser, M.B., Real neuroscience in virtual worlds. Curr. Opin. Neurobiol. 22 (2012), 3–10.
20. Fetsch, C.R., The importance of task design and behavioral control for understanding the neural basis of cognitive functions. Curr. Opin. Neurobiol. 37 (2016), 16–22.
21. Fortune, E.S., The decoding of electrosensory systems. Curr. Opin. Neurobiol. 16 (2006), 474–480.
22. Frank, M.J., Badre, D., How cognitive theory guides neuroscience. Cognition 135 (2015), 14–20.
23. Gomez-Marin, A., Paton, J.J., Kampff, A.R., Costa, R.M., Mainen, Z.F., Big behavioral data: psychology, ethology and the foundations of neuroscience. Nat. Neurosci. 17 (2014), 1455–1462.
24. Grothe, B., New roles for synaptic inhibition in sound localization. Nat. Rev. Neurosci. 4 (2003), 540–550.
25. Heiligenberg, W., Neural Nets in Electric Fish. 1991, MIT Press.
26. Hickok, G., Eight problems for the mirror neuron theory of action understanding in monkeys and humans. J. Cogn. Neurosci. 21 (2009), 1229–1243.
27. Huang, V.S., Haith, A., Mazzoni, P., Krakauer, J.W., Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models. Neuron 70 (2011), 787–801.
28. Huberdeau, D.M., Krakauer, J.W., Haith, A.M., Dual-process decomposition in human sensorimotor adaptation. Curr. Opin. Neurobiol. 33 (2015), 71–77.
29. Jeffress, L.A., A place theory of sound localization. J. Comp. Physiol. Psychol. 41 (1948), 35–39.
30. Jonas, E., Kording, K., Could a neuroscientist understand a microprocessor?. PLoS Comput. Biol., 13, 2017, e1005268.
31. Kahneman, D., Thinking, Fast and Slow. 2011, Macmillan.
32. Katz, P.S., Evolution of central pattern generators and rhythmic behaviours. Philos. Trans. R. Soc. Lond. B Biol. Sci., 371, 2016, 20150057.
33. Kay, L.E., The Molecular Vision of Life: Caltech, the Rockefeller Foundation, and the Rise of the New Biology. 1996, Oxford University Press.
34. Leininger, E.C., Kelley, D.B., Evolution of Courtship Songs in Xenopus: Vocal Pattern Generation and Sound Production. Cytogenet. Genome Res. 145 (2015), 302–314.
35. Levitis, D.A., Lidicker, W.Z., Freund, G., Behavioural biologists don't agree on what constitutes behaviour. Anim. Behav. 78 (2009), 103–110.
36. Longuet-Higgins, H.C., The algorithmic description of natural language. Proc. R. Soc. Lond. B Biol. Sci. 182 (1972), 255–276.
37. MacIver, M.A., Neuroethology: From Morphological Computation to Planning. Robbins, P., Aydede, M., (eds.) The Cambridge Handbook of Situated Cognition, 2009, Cambridge University Press, 480–504.
38. MacIver, M.A., Sharabash, N.M., Nelson, M.E., Prey-capture behavior in gymnotid electric fish: motion analysis and effects of water conductivity. J. Exp. Biol. 204 (2001), 543–557.
39. Marder, E., Goaillard, J.M., Variability, compensation and homeostasis in neuron and network function. Nat. Rev. Neurosci. 7 (2006), 563–574.
40. Marom, S., Meir, R., Braun, E., Gal, A., Kermany, E., Eytan, D., On the precarious path of reverse neuro-engineering. Front. Comput. Neurosci., 3, 2009, 5.
41. Marr, D., Vision: A Computational Approach. 1982/2010, MIT Press.
42. Mazzoni, P., Hristova, A., Krakauer, J.W., Why don't we move faster? Parkinson's disease, movement vigor, and implicit motivation. J. Neurosci. 27 (2007), 7105–7116.
43. Nelson, M.E., MacIver, M.A., Prey capture in the weakly electric fish Apteronotus albifrons: sensory acquisition strategies and electrosensory consequences. J. Exp. Biol. 202 (1999), 1195–1203.
44. Noble, D., A theory of biological relativity: no privileged level of causation. Interface Focus 2 (2012), 55–64.
45. Oatley, K., Perceptions and Representations: The Theoretical Bases of Brain Research and Psychology. 1978, Methuen.
46. Panigrahi, B., Martin, K.A., Li, Y., Graves, A.R., Vollmer, A., Olson, L., Mensh, B.D., Karpova, A.Y., Dudman, J.T., Dopamine is required for the neural representation and control of movement vigor. Cell 162 (2015), 1418–1430.
47. Patterson, B.W., Abraham, A.O., MacIver, M.A., McLean, D.L., Visually guided gradation of prey capture movements in larval zebrafish. J. Exp. Biol. 216 (2013), 3071–3083.
48. Poeppel, D., Embick, D., Defining the relation between linguistics and neuroscience. Cutler, A.E., (eds.) Defining the Relation between Linguistics and Neuroscience Twenty-First Century Psycholinguistics: Four Cornerstones, 2005, Lawrence Erlbaum, 103–118.
49. Reynolds, C.W., Flocks, herds and schools: A distributed behavioral model. Comput. Graph. 21 (1987), 25–34.
50. Schall, J.D., On building a bridge between brain and behavior. Annu. Rev. Psychol. 55 (2004), 23–50.
51. Selverston, A.I., Are central pattern generators understandable?. Behav. Brain Sci. 3 (1980), 535–540.
52. Shadmehr, R., Smith, M.A., Krakauer, J.W., Error correction, sensory prediction, and adaptation in motor control. Annu. Rev. Neurosci. 33 (2010), 89–108.
53. Smit, H., Hacker, P.M., Seven misconceptions about the mereological fallacy: A compilation for the perplexed. Erkenntnis 79 (2014), 1077–1097.
54. Snyder, J.B., Nelson, M.E., Burdick, J.W., MacIver, M.A., Omnidirectional sensory and motor volumes in electric fish. PLoS Biol., 5, 2007, e301.
55. Sober, E., The multiple realizability argument against reductionism. Philos. Sci. 66 (1999), 542–564.
56. Sternberg, S., Modular processes in mind and brain. Cogn. Neuropsychol. 28 (2011), 156–208.
57. Takahashi, D.Y., Narayanan, D., and Ghazanfar, A.A. (2012). A computational model for vocal exchange dynamics and their development in marmoset monkeys. In 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), http://dx.doi.org/10.1109/DevLrn.2012.6400844.
58. Takahashi, D.Y., Narayanan, D.Z., Ghazanfar, A.A., Coupled oscillator dynamics of vocal turn-taking in monkeys. Curr. Biol. 23 (2013), 2162–2168.
59. Takahashi, D.Y., Fenley, A.R., Teramoto, Y., Narayanan, D.Z., Borjon, J.I., Holmes, P., Ghazanfar, A.A., LANGUAGE DEVELOPMENT. The developmental dynamics of marmoset monkey vocal production. Science 349 (2015), 734–738.
60. Taylor, J.A., Krakauer, J.W., Ivry, R.B., Explicit and implicit contributions to learning in a sensorimotor adaptation task. J. Neurosci. 34 (2014), 3023–3032.
61. Therrien, A.S., Bastian, A.J., Cerebellar damage impairs internal predictions for sensory and motor function. Curr. Opin. Neurobiol. 33 (2015), 127–133.
62. Tinbergen, N., The Study of Instinct. 1955, Clarendon Press.
63. Tinbergen, N., On aims and methods of ethology. Zeitschr. Tierpsychol. 20 (1963), 410–433.
64. Von Uexküll, J., A stroll through the worlds of animals and men: A picture book of invisible worlds. Semiotica 89 (1992), 319–391.
65. Watanabe, A., Takeda, K., The change of discharge frequency by A.C. stimulus in a weak electric fish. J. Exp. Biol. 40 (1963), 57–66.
66. White, J.G., Southgate, E., Thomson, J.N., Brenner, S., The structure of the nervous system of the nematode Caenorhabditis elegans. Philos. Trans. R. Soc. Lond. B Biol. Sci. 314 (1986), 1–340.
67. Woese, C.R., A new biology for a new century. Microbiol. Mol. Biol. Rev. 68 (2004), 173–186.
68. Yuste, R., From the neuron doctrine to neural networks. Nat. Rev. Neurosci. 16 (2015), 487–497.