Volume 9 Supplement 1

Seventeenth Annual Computational Neuroscience Meeting: CNS*2008

Open Access

Modeling perceptual multi-stability with Hodgkin-Huxley neurons

BMC Neuroscience20089(Suppl 1):P152

DOI: 10.1186/1471-2202-9-S1-P152

Published: 11 July 2008

Perceptual multi-stability can be induced by either using some ambiguous figures (such as Neckar Cube or Face/Vase figure) or showing different images to left and right eyes (binocular rivalry). The observer will experience a persistent switching between different perceptual representations of the same image. The switching process is spontaneous and irregular: time intervals between consequent switching would form some Gaussian-like distribution [1, 2]. Switching is highly involuntary and usually human subjects cannot use their "will power" to control the process. Many behavioral experiments have been carried out. Levelt [3, 4] found that during binocular rivalry, when the image brightness to one eye increased, the mean duration of perception from the other eye decreased (but little was change on the duration from the same eye). Leopold et al. [5] found that for ambiguous figures, the switching process would slow down if the figure appeared and disappeared periodically.

The neural mechanism of perceptual multi-stability is still unclear. It is possible that perceptual multi-stability is regulated in a similar way like selection process in object-based attention [6]. A very important discovery has been found from EEG recordings: the perception of ambiguous figures seems to correlate with gamma band activity and transient synchrony of some distant brain areas [710]. The idea of partial synchronization between a central element and some peripheral elements has been proposed for modeling selective attention [11]. This idea is supported by results of EEG recordings, and there is a strong suggestion that multi-stable perception might also be controlled by the mechanism of partial synchronization.

In the present study, we propose a model of cortical neural network for studying perceptual multi-stability. The model consists of central and peripheral neurons, all of which are modeled by Hodgkin-Huxley equations with synaptic couplings. A dynamical regime is found where initially the central neurons form partial synchronization with one group of peripheral neurons, but after some time, it spontaneously switches to synchronize with another group of peripheral neurons, and then switch back and forth. The model produces a similar Gaussian-like histogram as experimental data. It also meets the constraints observed from various experiments [35]. The synchronization occurs in the gamma range, in agreement with EEG findings [710].

Authors’ Affiliations

Centre for Theoretical and Computational Neuroscience, University of Plymouth


  1. Fox R, Herrmann J: Stochastic properties of binocular rivalry alternations. Percept Psychophys. 1967, 2: 432-436.View ArticleGoogle Scholar
  2. Borsellino A, de Marco A, Allazetta A, Rinesi S, Bartolini B: Reversal time distribution in the perception of visual ambiguous stimuli. Biological Cybernetics. 1972, 10: 139-144.Google Scholar
  3. Levelt WJM: On binocular rivalry. Minor Series 2. Psychological Studies. 1968, The Hague: MoutonGoogle Scholar
  4. Bossink CJH, Stalmeier PFM, de Weert CMM: A test of Levelt's second proposition for binocular rivalry. Vision Res. 1993, 33: 1413-1419. 10.1016/0042-6989(93)90047-Z.View ArticlePubMedGoogle Scholar
  5. Leopold DA, Wilke M, Maier A, Logothetis NK: Stable perception of visually ambiguous patterns. Nature Neurosci. 2002, 5 (6): 605-609. 10.1038/nn851.View ArticlePubMedGoogle Scholar
  6. Mitchell JF, Stoner GR, Reynolds JH: Object-based attention determines dominance in binocular rivalry. Nature. 2004, 429: 410-413. 10.1038/nature02584.View ArticlePubMedGoogle Scholar
  7. Keil A, Muller MM, Ray WJ, Gruber T, Elbert T: Human gamma band activity and perception of a Gestalt. J Neurosci. 1999, 19 (16): 7152-7161.PubMedGoogle Scholar
  8. Klemm WR, Li TH, Hernandez : Coherent EEG indicators of cognitive binding during ambiguous figure tasks. Consciousness and Cognition. 2000, 9: 66-85. 10.1006/ccog.1999.0426.View ArticlePubMedGoogle Scholar
  9. Nakatani H, van Leeuwen C: Transient synchrony of distant brain areas and perceptual switching in ambiguous figures. Biol Cybern. 2006, 94: 445-457. 10.1007/s00422-006-0057-9.View ArticlePubMedGoogle Scholar
  10. Melloni L, Molina C, Pena M, Torres D, Singer W, Rodriguez E: Synchronization of neural activity across cortical areas correlates with conscious perception. J Neurosci. 2007, 27 (11): 2858-2865. 10.1523/JNEUROSCI.4623-06.2007.View ArticlePubMedGoogle Scholar
  11. Borisyuk RM, Kazanovich YB: Oscillatory neural network model of attention focus formation and control. BioSystems. 2003, 71: 29-38. 10.1016/S0303-2647(03)00107-2.View ArticlePubMedGoogle Scholar


© Chik and Borisyuk; licensee BioMed Central Ltd. 2008

This article is published under license to BioMed Central Ltd.