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GENERAL COMMENTARY article

Front. Comput. Neurosci., 20 February 2014
This article is part of the Research Topic Application of Nonlinear Analysis to the Study of Complex Systems in Neuroscience and Behavioral Research View all 34 articles

A more realistic quantum mechanical model of conscious perception during binocular rivalry

  • 1Energy Engineering and Physics Department, Amirkabir University of Technology, Tehran, Iran
  • 2Neural and Cognitive Sciences Lab, Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran

A commentary on
Quantum formalism to describe binocular rivalry

by Manousakis, E. (2009). Biosystems 98, 57–66. doi: 10.1016/j.biosystems.2009.05.012

Since the first systematic description of binocular rivalry by Wheatstone, this fascinating phenomenon has provided several new insights into the mechanisms of visual awareness (Leopold and Logothetis, 1999). Binocular rivalry (BR) is the subjective experience of randomly alternating perceptions pertaining to the two eyes when they are presented with conflicting stimuli. Because of its nature, BR enables consciousness researchers to separately investigate the mechanisms of perception and conscious experience (Gazzaniga et al., 2009). Among various descriptions of this phenomenon, quantum mechanical descriptions stand out as the most radical.

In a recent innovative work by Manousakis, the formalism of quantum mechanics is utilized to describe the conscious experience during BR. Although the author has successfully derived the observed probability distribution of dominance durations (PDDD), his approach undermines some essential features of conscious perception during BR. Generally, two kinds of perception dominate during BR: (1) full dominance of one eye's stimulus, (2) composite or mixed dominance of the two monocular stimuli (Yang et al., 1992). Our argument revolves around the latter kind of perception which is also referred to as transition phase or transition state.

Classically, simplifications imposed experimental conditions in which only full dominance was perceived by subjects and mixed state's (MS) duration was minimized. However, many experiments reveal the diversity in rivalry's temporal dynamics and specifically the important role of MS (Hollins, 1980; Blake et al., 1992; Bossink et al., 1993; Wilson et al., 2001). Regarding the neural correlates of MS, it has been shown that the frontoparietal areas of brain trigger rivalry transitions (Lumer et al., 1998; Knapen et al., 2011). It must be emphasized that various studies on the neural concomitants of BR suggest that no single neural site or neural mechanism is at work during BR, rather multiple stages and brain areas are involved (Blake and Logothetis, 2002).

Many attempts have been made to model the dynamical behavior of BR, most of which try to reproduce the temporal dynamics of BR by reconstructing specific neural mechanisms (Kalarickal and Marshall, 2000; Laing and Chow, 2002; Stollenwerk and Bode, 2003; Freeman, 2005). A major number of these models ignore MS in order to avoid crippling complications, yet Brascamp and colleagues show that none of the previous models is capable of reproducing the full range of observed dynamics which include MS (Brascamp et al., 2006b) and hence try to develop a new model (Brascamp et al., 2006a; Noest and van Ee, 2006). Another group of models of which Manousakis' model is an example capture certain aspects of rivalry's dynamics without resorting to the underlying neural circuits (Mamassian and Goutcher, 2005). However, in order to obtain the PDDD, Manousakis employs some temporal parameters characterizing neuronal firings. This is an interesting achievement because it ties the dynamics of conscious perception to specific firing patterns.

Like the classical models, Manousakis' model only treats the two dominance states which are represented by two quantum states, while MS is ignored. The author compares his theoretical PDDD with the observed PDDD of classical experiments (Levelt, 1968; Lehky, 1995) which did not record the mixed states' duration separately. We believe that the quantum states are only symbols which are manipulated according to the quantum formalism, and bear no resemblance to the perception they represent. Therefore, in Manousakis' approach, only the number of states and their associated probabilities determine the favored PDDD. Therefore, unlike classical models, the scope of the quantum mechanical model can be readily extended by introducing a third quantum state which represents MS. In order to test the new model, its PDDD should be calculated and compared against that of experimental data which are separate recordings of dominance durations of the three states. It must be emphasized that the probability distribution is not a complete description of the dynamics of BR, and it is necessary to extract other relative quantities from the model in future works.

It is worthwhile discussing another work by Conte and colleagues who showed that mental states follow quantum mechanics during the conscious bi-stable perception of ambiguous figures (Conte et al., 2009). Their model shares a lot of features with that of Manousakis, with the exception that they take into account the periods when their subjects report indeterminate perception. Indeterminate perception resembles MS in that they are both mental states and are mediated by specific neural correlates. But Conte et al. represent indeterminacy state by the wave-function of the two-state system rather than an additional third quantum state. Technically, a wave-function is a superposition of all the real possible states of a quantum system. We believe that this is an inappropriate take on the problem which leads to inconsistencies within the model. The developers of these two quantum mechanical models believe that the actualization of each quantum state is equal to the activation of neural correlates of consciousness (NCC) of the corresponding perception; a state is actualized when a quantum system is measured (observed) and subsequently its wave-function “collapses” to that constituent state. Therefore, we believe that wave-function is not a legitimate representation, because it does not describe a real state of a system and is doomed to collapse, and on the other hand, specific NCC of MS or that of indeterminate perception demands a distinct associated quantum state.

Manousakis' neglect of MS might be justified by the presumption that this state only functions as a bridge between the two dominance states. That is, MS does not compete with the other two and is not involved in rivalry. It is noteworthy that the term “transition” has led to a misunderstanding, namely that the MS occurs only when the perception is being switched from one eye to another. But as is often the case with BR experiments, subjects report the same perception as the one that was dominant before MS. Hence, there is no particular regular periodic alternation between dominance and suppression (Mueller and Blake, 1989; Brascamp et al., 2006b). We believe these indicate that MS is not a mere bridge connecting the two dominant states, but a state which dominates consciousness randomly and therefore, enters statistical calculations of quantum mechanics.

References

Blake, R., and Logothetis, N. K. (2002). Visual competition. Nat. Rev. Neurosci. 3, 13–21. doi: 10.1038/nrn701

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Blake, R., O'Shea, R. P., and Mueller, T. (1992). Spatial zones of binocular rivalry in central and peripheral vision. Vis. Neurosci. 8, 469–478. doi: 10.1017/S0952523800004971

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Bossink, C., Stalmeier, P., and De Weert, C. M. (1993). A test of Levelt's second proposition for binocular rivalry. Vision Res. 33, 1413–1419. doi: 10.1016/0042-6989(93)90047-Z

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Brascamp, J. W., Noest, A. J., van Ee, R., and Van Den Berg, A. V. (2006a). Transition phases show the importance of noise in binocular rivalry. J. Vis. 6, 845–845. doi: 10.1167/6.6.845

CrossRef Full Text

Brascamp, J. W., van Ee, R., Noest, A. J., Jacobs, R. H., and Van Den Berg, A. V. (2006b). The time course of binocular rivalry reveals a fundamental role of noise. J. Vis. 6, 1244–1256. doi: 10.1167/6.11.8

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Conte, E., Khrennikov, A. Y., Todarello, O., Federici, A., Mendolicchio, L., and Zbilut, J. P. (2009). Mental states follow quantum mechanics during perception and cognition of ambiguous figures. Open Syst. Inf. Dyn. 16, 85–100. doi: 10.1142/S1230161209000074

CrossRef Full Text

Freeman, A. W. (2005). Multistage model for binocular rivalry. J. Neurophysiol. 94, 4412–4420. doi: 10.1152/jn.00557.2005

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Gazzaniga, M. S., Bizzi, E., Caramazza, A., Chalupa, L. M., Grafton, S. T., Heatherton, T. F., et al. (2009). The Cognitive Neurosciences. Cambridge, MA: The MIT Press.

Hollins, M. (1980). The effect of contrast on the completeness of binocular rivalry suppression. Percept. Psychophys. 27, 550–556. doi: 10.3758/BF03198684

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Kalarickal, G. J., and Marshall, J. A. (2000). Neural model of temporal and stochastic properties of binocular rivalry. Neurocomputing 32, 843–853. doi: 10.1016/S0925-2312(00)00252-6

CrossRef Full Text

Knapen, T., Brascamp, J., Pearson, J., van Ee, R., and Blake, R. (2011). The role of frontal and parietal brain areas in bistable perception. J. Neurosci. 31, 10293–10301. doi: 10.1523/JNEUROSCI.1727-11.2011

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Laing, C. R., and Chow, C. C. (2002). A spiking neuron model for binocular rivalry. J. Comput. Neurosci. 12, 39–53. doi: 10.1023/A:1014942129705

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Lehky, S. R. (1995). Binocular rivalry is not chaotic. Proc. Biol. Sci. 259, 71–76. doi: 10.1098/rspb.1995.0011

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Leopold, D. A., and Logothetis, N. K. (1999). Multistable phenomena: changing views in perception. Trends Cogn. Sci. 3, 254–264. doi: 10.1016/S1364-6613(99)01332-7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Levelt, W. J. (1968). On Binocular Rivalry. The Hague: Mouton.

Lumer, E. D., Friston, K. J., and Rees, G. (1998). Neural correlates of perceptual rivalry in the human brain. Science 280, 1930–1934. doi: 10.1126/science.280.5371.1930

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Mamassian, P., and Goutcher, R. (2005). Temporal dynamics in bistable perception. J. Vis. 5, 361–375. doi: 10.1167/5.4.7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Mueller, T., and Blake, R. (1989). A fresh look at the temporal dynamics of binocular rivalry. Biol. Cybern. 61, 223–232. doi: 10.1007/BF00198769

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Noest, A., and van Ee, R. (2006). Statistical-mechanics modeling of rivalrous dominance and transition durations. Perception 35, 53. doi: 10.1068/v060618

CrossRef Full Text

Stollenwerk, L., and Bode, M. (2003). Lateral neural model of binocular rivalry. Neural Comput. 15, 2863–2882. doi: 10.1162/089976603322518777

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Wilson, H. R., Blake, R., and Lee, S.-H. (2001). Dynamics of travelling waves in visual perception. Nature 412, 907–910. doi: 10.1038/35091066

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Yang, Y., Rose, D., and Blake, R. (1992). On the variety of percepts associated with dichoptic viewing of dissimilar monocular stimuli. Perception 21, 47–62. doi: 10.1068/p210047

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Keywords: consciousness, quantum state, mixed state, probability distribution, dominance duration

Citation: Paraan MR, Bakouie F and Gharibzadeh S (2014) A more realistic quantum mechanical model of conscious perception during binocular rivalry. Front. Comput. Neurosci. 8:15. doi: 10.3389/fncom.2014.00015

Received: 12 January 2014; Accepted: 02 February 2014;
Published online: 20 February 2014.

Edited by:

Tobias Alecio Mattei, Ohio State University, USA

Copyright © 2014 Paraan, Bakouie and Gharibzadeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: fbakouie@aut.ac.ir

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