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BINOCULAR RIVALRY

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Title: BINOCULAR RIVALRY


1
BINOCULAR RIVALRY
A HIERARCHICAL MODEL FOR VISUAL COMPETETION
Computational Evidence for a rivalry hierarchy in
vision Wilson, PNAS (2003), Vol 100 (24),
14499-14503
Shantanu Jadhav Computational Neurobiology UCSD
2
Outline
  • What is the Binocular Rivalry the cognitive
    phenomenon
  • Characteristics Psychophysical features
  • Experimental data and evidence
  • The model
  • - What it tries to explain
  • - Implementation
  • - Results
  • - Predictions and limitations

Lecture 1 Benefits of Computational Models -
New explanations for cognitive phenomena - Tie
explanations of cognitive phenomena to the
biological mechanisms
3
BINOCULAR RIVALRY
  • A class of phenomena characterized by
    fluctuating perceptual experience in the face of
    unvarying visual input.
  • Bistability as a result of ambiguous information
    dissimilar images presented to the two eyes.
  • Competition between the two images for
    perceptual dominance.
  • Dissociation between unchanging physical
    stimulation and fluctuating conscious awareness
    gt A model for studying the neural basis of
    conscious visual awareness.

4
Blake and Logothetis, Nat Rev Neuro, 2002, Vol3
5
Perceptual Characteristics
Temporal Dynamics
  • Fluctuations in dominance and suppression are
    not regular.
  • No voluntary control over fluctuations
  • Stimulus strength, attention and visual context
    influence dominance periods.
  • Dominance and suppression rely on distinct
    neural processes.
  • Successive durations of perceptual dominance
    conforms to gamma distribution (universal
    phenomenon in bistable percepts).

6
Spatial Features
  • Inter-ocular grouping during dominance gt Not
    just suppression of an eye. (Also, figural
    grouping during vision rivalry)
  • Transitions between phases not instantaneous,
    but spread in a wave-like fashion

7
Where in the visual pathway is rivalry expressed?
Map
8
NEURAL CORRELATES OF RIVALRY EXPERIMENTAL
EVIDENCE
  • fMRI Modulation of activity during dominance
    and suppression phases in V1 (also MEGs and
    VERs)
  • Electrophysiology No evidence for rivalry
    inhibition in the LGN
  • Modulation in Neural spiking activity in early
    visual cortical areas.
  • Increased modulation in successive stages of
    visual areas
  • MT
  • V1 V2
  • V4
  • Higher areas Response only to particular
    preferred stimulus stage of processing beyond
    the resolution of perceptual conflict.
  • Decrease in visual sensitivity during
    suppression.
  • Rivalry involves multiple, distributed processes
    throughout the rivalry hierarchy.

9
Computational Evidence for a rivalry hierarchy in
vision Wilson, PNAS (2003), Vol 100 (24),
14499-14503
  • A Competitive Neural Model Need at least two
    hierarchic rivalry stages for explaining data.
  • Specifically, the model explains the
    observations of a flicker and switch (FS)
    procedure (which rules out inter-ocular rivalry).

18 Hz On-Off flicker of orthogonal
monocular gratings Swapping gratings
between eyes at 1.5 Hz
Perceptual Dominance Durations of 2.0 sec
Logothetis, et al., Nature (1996), 380, 621-624
10
Stimulus
Right
Left
0 ms
333 ms
666 ms
0 ms
333 ms
666 ms





  • A single phase of perceptual dominance can span
    multiple alternations of the stimuli
  • The persistence of dominance across eye-swaps
    depends on temporal parameters of the stimulus
  • High temporal frequencies reduce the efficacy of
    recurrent feedback inhibition within a network
  • This bypasses an initial competitive
    inter-ocular rivalry stage, and reveals higher
    levels of binocular competition

11
IHbin
IVbin
EVbin
EHbin
EVright
EVleft
EHleft
EHright
IVleft
IHleft
IHright
IVright
12
Spike-Rate Equations
EVleft Firing rate of an excitatory neuron
responding to a vertical grating presented to the
left eye, Asymptotic firing rate given by
Naka-Rushton function
EVleft drives Inhibitory Neuron Ivleft which
inhibits EHright
HVleft Slow self-adaptation by an
aftehyperpolarizing current
13
Ref Lecture 3
14
  • Monocular Representations of horizontal and
    vertical gratings compete via strong reciprocal
    inhibition.
  • The competing sets of neurons self-adapt, giving
    rise to dominance and suppression alterations.
  • Spike-frequency adaptation by an Ca2 dependent
    K current.
  • The second competitive stage with binocular
    neurons described by similar equations, with
    input from first layer.
  • Vleft-bin(t) EVleft(t) EVright(t)
  • Parameters
  • V 10, Emax100,
  • g (inhibitory gain) 45 at monocular level,
    1.53g at higher level
  • h (hyperpolarizing current strength) 0.47,
  • Excitatory input gain from monocular to binocular
    level 0.75
  • Recurrent excitation 0.02

15
Results
Stimulus Continuous vertical grating to left
eye, horizontal grating to right eye.
Vertical grating response
Horizontal grating response
Alterations in dominance and suppression in both
stages. Dominance period of 2.4 sec
EHright
EVleft
16
FS stimulus Monocular Neurons cannot generate a
competitive response alteration Dominance period
of 2.2 sec Stronger Inhibition at binocular stage
is the determining factor
17
Conductance-based model
Simplified equations for Membrane Potential V,
Recovery Variable R, inward Ca2 current
conductance T, slow Ca2 dependent K
hyperpolarizing conductance H
Simplified equations reproduce spike shapes,
firing rates and spike-frequency adaptation for
human neocortical neurons
Wilson HR, J. Theor. Biol. (1999), 200, 375-388
18
Monocular stage 12 neurons 8 excitatory, 2 each
for each eye for each grating 4
inhibitory Binocular stage 6 neurons 4
excitatory, 2 each for each grating 2 inhibitory
Parameters TR 4.2 msec (Exc), TR 1.5 msec
(Inh Fast spiking cells with narrow AP) ENa
50 mV, EK -95mV, ECa 120 mV, C 1 µF, TT
50 msec, TH 900 msec
After-hyperpolarizing current gT 0.1, gH 2.5
(exc) gT 0.25, gH 0 (inh no spike-frequency
adaptation)
19
Conductance Model
Output of layer 1
Normal Stimulus
FS Model
Left
Right
20
Gamma Distribution for Dominance Durations
Variable Strength Input
A Spiking Neuron Model for Binocular Rivalry,
Laing and Chow, J. Comp. Neuro. (2002), 12, 39-53
21
Bifurcation Diagram for single-level Rivalry
Model
Need more inhibitory strength to produce rivalry
with FS stimulus.
g
h
22
Experimental and Model Results
Positives
  • Gamma distribution of dominance durations is
    obtained.
  • Results for FS stimulus matched
  • - 18.0 Hz flicker 1.5 Hz swap by
    themselves give conventional rivalry
  • Dominance durations for variable stimulus
    strength reproduced.
  • Excitatory Feedback of max 0.02 results in
    similar dynamics.
  • Stronger inhibition at higher stages More
    modulation during traditional rivalry !?
  • Makes clear experimental predictions

Negatives
  • Inter-ocular grouping not accounted for (?)
  • Spatial inhomogenities Spread in a wave-like
    fashion.
  • Do we really need two layers -gt for dominance
    durations?
  • Excitatory Feedback Is it strong enough?

23
Conclusions and Predictions
Predictions
  • Maximum stimulus size for unitary rivalry should
    increase under FS conditions.
  • fMRI Blind-spot conditions No modulation of
    signal during FS.
  • V1 physiology No modulation.

Conclusions
  • Rivalry involves multiple, distributed processes
    throughout the visual system hierarchy
  • No locus or neural site of rivalry
  • Form vision and rivalry implemented through
    similar multiple networks.

Grand Conclusion Consciousness is a
characteristic of extended neural circuits
comprising several interacting cortical levels
throughout the brain
24
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26
The Naka-Rushton Function
A good fit for V1 spike rates Steady state firing
rate in response to a visual stimulus of contrast
P
27
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