active detection of sound in the inner ear tom duke cavendish laboratory, andrej vilfan university...
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Active detection of soundin the inner ear
Tom DUKE Cavendish Laboratory,
Andrej VILFAN University of Cambridge
Daniel ANDOR
Frank JULICHER MPI Complex Systems, Dresden
Jacques PROST Institut Curie, Paris
Sébastien CAMALET
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Performance of human ear
Frequency analysis: responds selectively to frequencies in range 2010,000 Hz
Sensitivity: faintest audible sounds impart no more energy than thermal noise: 4 zJ
Dynamic range: responds and adapts over 7 orders of magnitude of pressure: 0140 dB
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Detection apparatussources: Hudspeth, Hackney
hair cell (frog)
hair bundle (turtle)
K+
kinocilium
stereocilia
transduction channel
tip link
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Mechano-chemo-electrical transductionsources: Corey, Hudspeth
Tension in tip links
pulls open
transduction channels
& admits K+
which depolarizes the
membrane & opens
voltage-gated channels
to nerve synapse
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Spontaneous oscillations in the inner earKemp ‘79
Manley & Koppl ‘98
• Otoacoustic emissions
Crawford & Fettiplace ‘86
Howard & Hudspeth ‘87
• Active bundle movements
25 nm
25 nm
the ear can sing
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Camalet, Duke, Jülicher & Prost ‘00
Active amplifiers: Ear contains a set of nonlinear dynamical systems
each of which can generate self-sustained oscillations
at a different characteristic frequency
Self-adjustment: Feedback control mechanism maintains each system
on the verge of oscillating
Self-tuned critical oscillators
C
x
Hopf bifurcation
remarkable response properties at critical point
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force:
displacement:
control parameter: C bifurcation point:
Hopf resonance
gain diverges for weak stimuli
• stimulus at characteristic frequency:
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force:
displacement:
control parameter: C bifurcation point:
Hopf resonance
active bandwidth
• stimulus at different frequency:
if
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critical Hopf resonance single tone response
Gain and active bandwidth depend on level of stimulus
frequency
gain
fc
fa
Δ
0 db
20 db
c
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0
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.2 0.3 0.4
0
ν/α
1
5
25
100
force
Camalet et al. ‘00
Response to a tone
• spontaneous critical
oscillations are incoherent
• stimulus at
characteristic frequencygives rise to phase-locking
critical Hopf response effect of noise
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Hair bundle responseMartin & Hudspeth ‘01
Response of a frog hair bundle
forced by a microneedle
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Questions
• What is the physical basis of the force-generating dynamical
system ?
• How is the self-tuning realised ?
We might expect that different organisms use different apparatus to implement the same general strategy
Model for non-mammalian vertebrates
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Two adaptation mechanisms
Fast process
Ca2+ binding to
transduction channel
~ 1 ms Slow process
movement of
myosin-1C motors
~ 100 ms
Fettiplace et al. ‘01
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Channel gating complianceHoward & Hudspeth ‘88; Martin, Mehta & Hudspeth ‘00
Suppose channel incorporates a lever arm
opening of channel can substantially reduce the tension in the tip
link
• negative elasticity if
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Vilfan & Duke
• Oscillations generated by
interaction of Ca2+ with
transduction channels
frequency
depends on bundle geometry
Physical basis of self-tuned critical oscillators
Ca2+
motors
ωc ≈
1τmechτca
Self-tuning accomplished by movement of molecular motors, regulated by Ca2+
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hair bundle model self-tuned critical oscillations
stimulus
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Nonlinearities due to active amplification
Self-tuned Hopf bifurcation is ideal for detecting a single tone …
… but it causes tones of different frequency to interfere
Response to two tones:
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Two-tone suppression
Presence of second tone can extinguish the nonlinear amplification
= 0 ≠ 0
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Distortion productsJulicher, Andor & Duke ‘01
Nonlinearities create a characteristic spectrum of distortion products
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distortion products analysis
Responses at f1 and f2 couple to frequency 2f1 - f2
... which in turn excites a hierarchy of further distortion products:
Spectrum:
,
,
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Mammalian cochlea
basilar membrane
cochlea
inner hair cell
tectoral membrane
basilar membrane
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Cochlear travelling wave
• sound sets fluid into motion
• variation in flow rate is accommodated by movement of membrane
• membrane acceleration is caused by difference in fluid pressure
oval window
round windowhelicotrema
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Zwislocki ‘48
membrane displacement h
pressure difference p = P1 - P2
difference in flows j = J1 - J2
• fluid flow
• incompressibility
• membrane response
wave velocity
travelling wave one-dimensional model
ρ
∂j∂t
=−bl∂p∂x
2b
∂h∂t
−∂j∂x
=0
p(x,t) =K(x)h(x,t)
c(x) =
K(x)l2ρ
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1/3
1
Basilar membrane motionRhode ‘71; Ruggero et al. ‘97
BM response
is nonlinear
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Outer hair cell motorBrownell ‘85; Ashmore ‘87
Outer hair cells are electromotile
prestin
Dallos et al. ‘99outer hair cells
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Duke & Jülicher
Critical oscillators ranged along basilar membrane
characteristic frequencies span audible range:
membrane is an excitable medium with a nonlinear active response
Active basilar membrane
p_(ω) =A(x,ω)h
_+B |h
_|2 h
_
ωc(x) =ω0e−x/d
K(x) =A(x,0) =αωc(x)
A(x,ωc(x)) =0
A(x,ω) =α(ωc(x) −ω)
B =i βcaptures essence of active membrane
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active travelling wave cochlear tuning curve
Precipitous fall-off on high frequency side owing to
critical-layer absorption
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active travelling wave cochlear tuning curve
Ruggero et al. ‘97
10 -1
10 0
10 1
1 10
frequency (kHz)
20 dB40 dB60 dB80 dB
disp
lace
men
t (n
m)
10-2
10-1
100
101
102
3 4 5 6 7 8 9 10 20
frequency (kHz)
20 dB40 dB60 dB80 dB
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Summary
• Active amplification by critical oscillators is ideally suited to the ears needs:
frequency selectivity, exquisite sensitivity, dynamic range
• Spontaneous hair-bundle oscillations may be generated by transduction channels and regulated by molecular motors
• Critical oscillators that pump the basilar membrane give rise to an active travelling wave with a sharp peak
• Many psychoacoustic phenomena may be related to the nonlinearities caused by active amplification
• 1