Abstract
This chapter surveys the multifaceted roles that invariants play in theorizing, from physics and mathematics to biology and neurobiology. The question “What is an invariant of behavior?” is posed, and some alternatives are proposed and discussed: genes, neuroanatomy, and reflex theory. From that, the cybernetic take on the issue is introduced and placed in an evolutionary context, in which single behaviors are identified in respect to the goals they achieve and how they subserve the organism’s viability. The search for invariants of behavior is framed as a search for mechanisms. This search is far from trivial, as assumptions play a prominent role.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Other purely theoretical examples exist, such as the entities in the study of topology. For example, a torus – a donut – will always have one hole irrespective of deformations, because its shape identity is defined by its topological properties. The invariant property is a part of the entity’s definition.
- 2.
Noether’s theorem informally stated: differentiable symmetries generated by local actions have correspondent conserved current. An English translation of the original paper is found in [45].
- 3.
Coextensive: If P is an invariant property of a system, then for all members of set A, it is true that A has P. In the example of life, if all the living A have life (property L), then ∀A : L(A) → L(A), a tautology. An explanatory principle such as this has vaporous foundation, and no logical derivations are possible. Nothing can be learned; life becomes magic.
- 4.
See also [15] for an insightful book review on Oyama’s cycles of contingency.
- 5.
Our working definition of behavioral function: when a goal can be attributed to a behavior, then the behavior is a functional behavior. Contrast that with behavior in toto.
- 6.
Gross in the sense of coarse, at first glance.
- 7.
Schema theory (see more in Sect. 2.3.12) exemplifies the attempts to overlay the brain with a structure of functional components, “boxes,” to aide in explanation of overall behavior. But although being a tenable level of functional analysis, it encounters the problems of arbitrariness. That is because, in an important sense, a function only exists while it is being executed, and only within the frame of a theory. Often, there will be no fundamental way to distinguish between different overlaying schemas which one is better or best.
- 8.
Environmental context is meant broadly: a cell can be an environment for DNA, as blood can be an environment for a cell, or the body can be a contextual environment for a neural system.
- 9.
This is one of the main difficulties with analogies in ethology and neuroethology. Descriptions of functions are shared across different organisms, whereas mechanisms are not.
References
Arbib MA (1972) The metaphorical brain, an introduction to cybernetics and brain theory. MIT Press, Cambridge
Arbib MA (1982) Machine Intelligence 10, Chichester: Ellis Horwood, chap Rana Computatrix, an evolving model of visuomotor coordination in frog and toad, pp 501–517
Arbib MA, Fellous JM (2004) Emotions: From brain to robot. Trends Cogn Sci 8(12)
Ashby W (1960) Design for a brain: The origin of adaptive behavior, 2nd edn. Chapman & Hall, London
Bateson G (1972) Steps to an ecology of mind. University of Chicago Press, p. 533
Benavides-Piccione R, Hamzei-Sichani F, Ballesteros-Yanez I, DeFelipe J, Yuste R (2006) Dendritic size of pyramidal neurons differs among mouse cortical regions. Cereb Cortex 16(7):990–1001
Berns GS, Sejnowski TJ (1998) A computational model of how the basal ganglia produce sequences. J Cogn Neurosci 10(1):108–121
Braitenberg V (1977) On the texture of brains: An introduction to neuroanatomy for the cybernetically minded. Springer, New York
Braitenberg V (1984) Vehicles, experiments in synthetic psychology. Bradford Book, Cambridge
Braitenberg V (2001) Brain size and number of neurons: An exercise in synthetic neuroanatomy. J. Comput. Neurosci. 10(1):71–77
Braitenberg V, Schüz A (1998) Cortex: Statistics and geometry of neuronal connectivity. Springer, Berlin
Brentano FC (1874) Psychologie vom empirischen Standpunkte. Duncker & Humblot, Leipzig
Cohen N, Squire L (1980) Preserved learning and retention of pattern-analyzing skill in amnesia: dissociation of knowing how and knowing that. Science 210(4466):207
Dawkins R (1976) The selfish gene. Oxford University Press, New York
Di Paolo E (2002) Book review: Cycles of contingency. Artif Life 8(2)
Dörner D (1999) Bauplan für eine Seele. Rowohlt, Reinbek
Edelman G (1988) Topobiology: An introduction to molecular embryology. Basic Books
Eigen M, Schuster P (1978) The hypercycle. Naturwissenschaften 65(1):7–41
Elston G, Rockland K (2002) The pyramidal cell of the sensorimotor cortex of the Macaque Monkey: Phenotypic variation. Cereb Cortex 12(10):1071–1078
Elston GN (2005) Cortex, cognition and the cell: New insights into the pyramidal neuron and prefrontal function. Cereb Cortex 13(11):1124–1238
von Foerster H, von Glaserfeld E (2005) Einführung in den Konstruktivismus, 9th edn. Piper Press, Munich
Fox Keller E, Harel D (2007) Beyond the Gene. PLoS ONE 2(11):e1231
Glaserfeld Ev (1990) Teleology and the concepts of causation. Philosophica 46(2):17–42
Goodwin B (2001) The evolution of complexity: How the leopard changed its spots. Princeton Academic, Princeton
Goodwin B, Briere C (1989) A mathematical model of cytoskeletal dynamics and morphogenesis in acetabularia. The Cytoskeleton of the Algae. CRC Press, Boca Raton, pp 219–238
Gould SJ, Lewontin RD (1979) The spandrels of San Marcos and the Panglossian paradigm: A critic of the adaptationist programme. Proc R Soc Lond 205:581–598
Griffiths PE, Gray RD (2000) Darwinism and developmental systems. MIT Press, Cambridge
Griffiths PE, Stoltz K (2007) The cambridge companion to the philosophy of biology. chap Gene, Cambridge University Press, Cambridge, pp 103–119
Hanlon R (2007) Cephalopod dynamic camouflage. Curr Biol 17(11):400–404
Heylighen F, Joslyn C (2001) Cybernetics and second-order cybernetics. In: Meyers R (ed) Encyclopedia of Physical Science and Technology, 3rd edn. Academic, New York
von Holst VE, Mittelstaedt H (1950) Das Reafferenzprinzip. Die Naturwiss 37(20):464–476
Homberg U, Paech A (2002) Ultrastructure and orientation of ommatidia in the dorsal rim area of the locust compound eye. Arthropod Struct Dev 30(4):271–280
Jablonka E, Lamb M (2005) Evolution in four dimensions: Genetic, epigenetic, behavioral, and symbolic variation in the history of life. MIT Press, Cambridge
Jablonka E, Lamb M, Avital E (1998) ‘lamarckian’ mechanisms in darwinian evolution. Trends Ecol Evol 13(5):206–210
Jewell E, Abate F, McKean E (2001) The new Oxford American dictionary. Oxford University Press, Oxford
Jonas H (2001 (1966)) The phenomenon of life. Northwestern University Press, Evanston, IL
Kauffman S (1969) Metabolic stability and epigenesis in randomly constructed genetic nets. J Theor Biol 22(3):437–67
Mayr E (1961) Cause and Effect in Biology Kinds of causes, predictability, and teleology are viewed by a practicing biologist. Science 134(3489):1501–1506
Mayr E (1976) Evolution and the diversity of life. Harvard University Press, Cambridge
Merleau-Ponty M (1963 (translation), 1942) The Structure of Behavior. Duquesne University Press, Philadelphia
Minksy M (1975) The psychology of computer vision, chap A Framework for representing knowledge. McGraw-Hill, New York
Nagel E (1979) The structure of science: Problems in the logic of scientific explanation. Hackett Publishing, USA
Niven J (2008) Evolution: Convergent eye losses in fishy circumstances. Curr Biol 18(1):27–29
Noether E (1918) Invariante variationsprobleme. Gott Nachr 235
Noether E, Tavel M (2005) Invariant variation problems. Arxiv preprint physics/0503066
O’Keefe J, Dostrovsky J (1971) The hippocampus as spatial map: preliminary evidence from unit activity in the freely moving rat. Brain Res 34:171–175
Oyama S (2000) The ontogeny of information: Developmental systems and evolution. Duke University Press, Durham
Oztop E, Kawato M, Arbib M (2006) Mirror neurons and imitation: A computationally guided review. Neural Netw 19(3):254–271
Pais A (1982) Subtle is the Lord. The science and the life of A. Einstein. Oxford University Press, Oxford
Porter J, Baker R (1997) Absence of oculomotor and trochlear motoneurons leads to altered extraocular muscle development in the Wnt-1 null mutant mouse. Dev Brain Res 100(1): 121–126
Quiroga R, Reddy L, Kreiman G, Koch C, Fried I (2005) Invariant visual representation by single neurons in the human brain. Nature 435(7045):1102–1107
Rosenblueth A, Wiener N, Bigelow J (1943) Behavior, purpose and teleology. Philos Sci 10: 18–24
Ryan L, Cox C, Hayes SM, Nadel L (2008) Hippocampal activation during episodic and semantic memory retrieval: Comparing category production and category cued recall. Neuropsychologia 46(8):2109–2121, DOI http://dx.doi.org/10.1016/j.neuropsychologia.2008.02.030, URL http://dx.doi.org/10.1016/j.neuropsychologia.2008.02.030
Smith JM, Burrian R, Kauffmann S, Alberch P, Campbell J, Goodwin B, Lande L, Raul D, Wolpert L (1985) Developmental constraints and evolution. Q Rev Biol 60(3):265–287
Smith PG (2007) The cambridge companion to the philosophy of biology. Cambridge University Press, Cambridge, chap Information in Biology, pp 103–119
Sterelny K (2005) Thought in a hostile world. MIT Press, Cambridge
Swammerdam J (1737) Biblia Naturae, Sive Historia Insecto, vol 1. IDC (Leiden)
Ton R, Hackett J (1984) Neural mechanisms of startle behavior, Springer, Berlin, chap The Role of the Mauthner Cell in fast starts involving escape in Teleost Fishes
Tracy A, Jarrard L, Davidson T (2001) The hippocampus and motivation revisited: appetite and activity. Behav Brain Res 127(1–2):13–23
Turchin VF (1977) The Phenomenon of Science: a cybernetic approach to human evolution. Electronic URL http://pespmc1.vub.ac.be/POSBOOK.html
Varela F (1979) Principles of biological autonomy. North Holland, New York
Varela F, Maturana H (1987, 1998) The tree of knowledge, 1st edn. Shambala, Boston, MA
Varela F, Maturana H, Uribe R (1974) Autopoiesis: the organization of living systems, its characterization and a model. Curr Model Biol 5(4):187–96
Wiener N (1961) Cybernetics: or the control and communication in the animal and the machine, 2nd edn. MIT Press, Cambridge
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Negrello, M. (2011). Invariances in Theory. In: Invariants of Behavior. Springer Series in Cognitive and Neural Systems, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8804-1_2
Download citation
DOI: https://doi.org/10.1007/978-1-4419-8804-1_2
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-8803-4
Online ISBN: 978-1-4419-8804-1
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)