The binding problem is one of a number of terms at the interface between neuroscience and philosophy which suffer from being used in several different ways, often in a context that does not explicitly indicate which way the term is being used. Wikipedia, June 2012.
Abstract
The famous Neural Binding Problem (NBP) comprises at least four distinct problems with different computational and neural requirements. This review discusses the current state of work on General Coordination, Visual Feature-Binding, Variable Binding, and the Subjective Unity of Perception. There is significant continuing progress, partially masked by confusing the different versions of the NBP.
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References
Barlow HB (1986) Why have multiple cortical areas? Vision Res 26:81–90
Barrett L, Feldman JA, Mac Dermed L (2008) A (somewhat) new solution to the binding. Neural Comput 20:2361–2378
Bouvier S, Treisman A (2010) Visual feature binding requires reentry. Psychol Sci 21:200–204
Bressler SL, Scott Kelso JA (2001) Cortical coordination dynamics and cognition. Trends Cogn Sci 5(1):26–36
Brockmole JR, Franconeri SL (eds) (2009) Binding. Visual Cogn 17(1–2):1–292
Browne A, Sun R (2000) Connectionist variable binding. Springer, Heidelberg
Canolty RT, Ganguly K, Kennerley SW, Cadieu CF, Koepsell K, Wallis JD, Carmena JM (2010) Oscillatory phase coupling coordinates anatomically-dispersed functional cell assemblies. Proc Natl Acad Sci USA 107:17356–17361
Cer DM, O’Reilly RC (2006) Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models. In: Zimmer HD, Mecklinger A, Lindenberger U (eds) Handbook of binding and memory: perspectives from cognitive neuroscience. Oxford U Press, Oxford
Chalmers D (1996) The conscious mind: in search of a fundamental theory. Oxford U Press, Oxford
Chikkerur SS, Serre T, Tan C, Poggio T (2010) What and where: a Bayesian inference theory of attention. Vision Res 50:2233–2247. doi:10.1016/j.visres.2010.05.13
Di Lollo V (2012) The feature-binding problem is an ill-posed problem. Trends Cogn Sci 16(6):317–321
Engel AK, Singer W (2001) Temporal binding and the neural correlates of sensory awareness. Trends Cogn Sci 5:16–25
Feldman JA (2006) From molecule to metaphor: a neural theory of language. MIT Press, Cambridge
Feldman JA (2010) Ecological expected utility and the mythical neural code. Cogn Neurodyn 4:25–35
Fries P (2009) Neuronal gamma-band synchronization as a fundamental process in cortical computation. Annu Rev Neurosci 32:209–224
Hayhoe M, Rothkopf CA (2011) Vision in the natural world. Wiley Interdisciplinary Reviews: Cognitive Science 2:158–166
Hollingworth A, Rasmussen IP (2010) Binding objects to locations: the relationship between object files and visual working memory. J Exp Psychol Hum Percept Perform 36:543–564
Hummel JE (2011) Getting symbols out of a neural architecture. Connect Sci 23:109–118
Hummel JE, Holyoak KJ, Green C et al (2004) A solution to the binding problem for compositional connectionism. In: Levy SD, Gayler R (eds) Compositional connectionism in cognitive science: papers from the AAAI fall symposium, AAAI Press, Menlo Park
Humphreys GW (2003) Conscious visual representations built from multiple binding processes: evidence from neuropsychology. Prog Brain Res 142:243–255
Jackendoff R (2002) Foundations of language. Oxford U Press, Oxford
Kaas J (1997) Topographic maps are fundamental to sensory processing. Brain Res Bull 44:107–112
Kaas JH, Collins CE (eds) (2003) The primate visual system. CRC Press, Boca Raton
Karlsen PJ, Allen RJ, Baddeley AD, Hitch GJ (2010) Binding across space and time in visual working memory. Memory Cogn 38:292–303
Lennie P (1998) Single units and visual cortical organization. Perception 27:889–935
Mack A (2003) Inattentional blindness: looking without seeing. Curr Direct Psychol Sci 12:180–184
Martinez-Conde S, Krauzlis R, Miller J, Morron C, Williams D, Kowler E (2008) Eye movements and the perception of a clear and stable visual world. J Vision 8(14):1. doi:10.1167/8.14.i
Morita M, Morokami S, Morita H (2010) Attribute pair-based visual recognition and memory. PLoS One 5:e9571. doi:10.1371/journal.pone.0009571
Reynolds JH, Desimone R (1999) The role of neural mechanisms of attention in solving the binding problem. Neuron 24(19–29):111–125
Serre T, Oliva A, Poggio T (2007) A feedforward architecture accounts for rapid categorization. Proc Natl Acad Sci USA 104:6424–6429
Seymour K, Clifford CW, Logothetis NK, Bartels A (2009) The coding of colour, motion and their conjunction in human visual cortex. Curr Biol 19:177–183
Shadlen MN, Movshon JA (1999) Synchrony unbound: a critical evaluation of the temporal binding hypothesis. Neuron 24:67–77
Shafritz KM, Gore JC, Marois R (2002) The role of the parietal cortex in visual feature binding. Proc Natl Acad Sci USA 99:10917–10922
Shastri L (2002) Episodic memory and cortico-hippocampal interactions. Trends Cogn Sci 6:162–168
Shastri L, Ajjanagadde V (1993) From simple associations to systematic reasoning. Behav Brain Sci 16:417–494
Simons DJ, Rensink RA (2005) Change blindness: past, present, and future. Trends Cog Sci 9:16–20
Sommer FT (2013) Neural oscillations and synchrony as a mechanism for coding, communication and computation in the visual system. In: Werner JS, Chalupa LM (eds) The new visual neurosciences. MIT Press, Cambridge (in press)
Treisman A (1999) Solutions to the binding problem: progress through controversy and convergence. Neuron 24:105–125
van der Velde F, de Kamps M (2006) Neural blackboard architectures of combinatorial structures in cognition. Behav Brain Sci 29:37–70
Velik R (2010) From single neuron-firing to consciousness–towards the true solution of the binding problem. Neurosci Biobehav Rev 34:993–1001
von der Malsburg C (1981) The correlation theory of brain function. MPI Biophysical chemistry report, pp 81–2
von der Malsburg C, Phillips WA, Singer W (2009) Ernst Struengmann Forum, Frankfurt Am Main, Germany. MIT Press, Cambridge
Vroomen J, Keetels M (2010) Perception of intersensory synchrony: a tutorial review. Atten Percept Psychophys 72:871–884
Wendelken C, Shastri L (2004) Multiple instantiation and rule mediation in SHRUTI. Connect Sci 16:211–217
Whitney D (2009) Neuroscience: toward unbinding the binding problem. Curr Biol 19:251–253
Wang R, Zhang, Z, Tse CK et al (2011) Neural coding in networks of multi-populations of neural oscillators. Math Comput Simul. doi:10.1016/j.matcom.2010.10.029
Zhang X, Wang R, Zhang Z (2010) Dynamic phase synchronization characteristics of variable high-order coupled neuronal oscillator population. Neurocomputing 73:2665–2670
Zimmer HD, Mecklinger A, Lindenberger U (eds) (2006) Handbook of binding and memory: perspectives from cognitive neuroscience. Oxford U Press, Oxford
Zipser D, Andersen RA (1988) A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons. Nature 331:679–684. doi:10.1038/331679a0
Acknowledgments
This work was supported in part by the Office of Naval Research #N000141110416 and the John Templeton Foundation #20631. Very useful suggestions were made by Stan Klein, Christof von der Malsburg, Bill Phillips, Lokendra Shastri, Carter Wendelken, and the referees.
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Feldman, J. The neural binding problem(s). Cogn Neurodyn 7, 1–11 (2013). https://doi.org/10.1007/s11571-012-9219-8
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DOI: https://doi.org/10.1007/s11571-012-9219-8