sound localization and timing computations in the auditory brain stem. j rinzel, nyu
DESCRIPTION
Computational and experimental study – coincidence detection and ITD coding (gerbil MSO, in vitro) Subthreshold dynamic negative feedback: G KLT activ’n; phasic firing; brief temporal integration window; integration of noisy inputs (STA) - PowerPoint PPT PresentationTRANSCRIPT
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Sound localization and timing computations in the auditory brain stem. J Rinzel, NYU
with G Svirskis, R Dodla, V Kotak, D Sanes, M Day, B Doiron, P Jercog, N GoldingFunded by NIMH, NIDCD and NSF.
• Computational and experimental study – coincidence detection and ITD coding (gerbil MSO, in vitro)
• Subthreshold dynamic negative feedback: GKLT activ’n; phasic firing; brief temporal integration window; integration of noisy inputs (STA)
•The definitive feedforword neuron: bipolar dendrites and distrib’n of Iion
• Coding: •population coding (slope or place code?); role of inhibition; role of EPSP asymmetries + IKLT;• stimulus dependent filter/selectivity.
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In vivo data from the barn owl shows NL neurons encode ITD
A
B
C
D
E
PLACE CODEOUTPUTS
DE
LA
Y L
INE
INPU
TS
DE
LA
Y L
INE
INPU
TS
C
ITD sensitivity arises from a coincidence detection mechanism, as in the Jeffress model5
left ear leads right ear leadsINTERAURAL TIME DIFFERENCE (µsec)
100
50
0
4409 Hz
0-300
-150 150 300
-30 µsec
% M
AX
IMU
M R
ESPON
SE
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… place code or slope code?
• in vivo gerbil: ITD-tuning peak is outside physiol range.
• Inhibition shapes ITD-tuning.
Brand et al. Nature, 2002
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MSO neurons fire phasically, not to slow inputs. Blocking I KLT may convert to tonic.
J Neurosci, 2002
Even after reducing I KLT, some neurons (older) remained phasic.
INa fairly inactivated near rest.
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J Neurosci, 2002
HH-type model with currents: INa IKHT
and subthreshold IKLT
INa
IKHT
IKLT
mV
msec
mV
Phasic firing properties
0
30
0 80
KLT
ThKLTKLTm
nVnn
tIVVnGVGVC
VThKLT
VTh
I
V
Idealized model: integrate and fire with “IKLT”
Network, 2003.
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Slow ramp: no spike
Fast ramp:one spike
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Schematic of circuit for low frequency coincidence detectionin mammals. (D Sanes w/ focus on gerbil.)
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IKLT narrows temporal integration window.
Notice “dip”: IKLT is partially active at rest;transient hyperpolarization promotes spiking by deactivating IKLT.
-8 -6 -4 -2 0
0.0
0.1
0.2
time before spike, ms
I, nA
leaky I&F + IKLT leaky I&F leaky I&F + IKLT below RMP
Spike-generating current by reverse correlation.
Network, 2003.
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“MSO”cell
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“MSO”cell
Poisson PSGs from Nex + Ninh input fibers
spont rate
Some expts: Detection of subthreshold signal amidst noisy background
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+-
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--
“MSO”cell
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--
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--
++-
++
--
“MSO”cell
Poisson PSGs from Nex + Ninh input fibers
DTX (IKLT blocker) ==> -- widening of integration window -- reduction of “dip”
J Neurosci, 2002
Control
After DTX
Response of MSO cell to brief “signal” in noise.
Spike triggered average “Isyn”, expeimental
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Selectivity endowed by IKLT depends on spectralprofile of the input. w/ Day, Doiron J Neurophys, 2008.
• Rothman-Manis (HH-type) 2003 model: Dynamic vs Frozen IKLT
• Noisy input I(t); STEs {IST(tj)} discrete time ti 2 clouds in vector space• Discriminant analysis (feature extraction) finds “direction”
that maximizes “distance” between clouds (Fisher criterion) projections of {IST(tj)}• For white noise input: no difference in STAs.
150 Hz
650 Hz
Stim selec’n diff’ce (SSD)= 1-misclassification error
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Coincidence detection – a role for dendrites
Gradient of length alongtonotopic axis.
Agmon-Snir, Carr, Rinzel: Nature ‘98
Reduction of“false positives”
Compartmental model; 2-variable minimal phasic model
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“HH-type” cable model, based on I,V-clamp data (in vitro, gerbil, Golding, 2006).
gex(t), τex=0.2 ms
spike generation
gKLT in S, IS and weak in D;active or “frozen” (passive);
gNa only in Axon.
Biophysical model: gerbil MSO -- dendritesw/ P Jercog and Golding lab … ongoing
l/λ ≈ 0.6-0.8τm ≈ 0.6-1 ms
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EPSP attenuation and temporal sharpening - subthresholdExperiment Golding lab + V-clamp
Theory Jercog, Rinzel
If gKLT is “frozen”.
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0.5 ms 5 mV
73 µm
Dendrite 35 µm
55 µm
Soma 80
60
40
20
0
EPSP
ampl.
(mV)
100806040200Propagation distance (µm)
Dend Soma Dual Somatic
Attenuation and sharpening grow with propagation distance in model.
Experiment
Theory
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Time difference sensitivity, enhanced for inputs to dendrite – subthreshold case.
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Motion direction sensitivity. Passive cable, Rall (1964).
“directionselectivity”
Proximal to distal sequence: rapid rise, broad EPSP at soma.
Distal to proximal sequence: latency, buildup to higher peak EPSP.
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Response to “near then far” input is disadvantaged by wake of (dendritic) gKLT along path to Soma.
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τex=0.2 … spike τex=0.5 no spike
Include axonalspike generation
Synaptic input must be fast for spike generation.
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Coincidence detection in model… with spikes in axon the definitive feedforward neuron.
“ITD” = 0.1 ms “ITD” = 0.15 ms
No back-propagating action potential.
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Grothe, New roles for synaptic inhibition in sound localization, Nat. Rev. (2003)
• ITD peak is outside physiol range
• Blocking inhibition shifts the ITD-tuning curve to “0”.
Tuning for Interaural Time Difference (ITD), shaped by transient inhibition
• Contralateral excitation is preceded by inhibition.• Ipsilateral excitation precedes inhibition.
in vivo, gerbil Brand et al, 2002
Place code or slope code?
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ITD
ipsi contraΔ
ITD tuning in small mammals issensitive to timed inhibition slope code
Brand et al, Nature, 2002
Results with MSO cell model. Rothman et al ’93
Key parameters:τinh= 0.1 ms, Δ = 0.2 ms
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Asymmetry in EPSPs shapes ITD tuning
In vitro thick slice ITD in dish.
w/ Jercog, Sanes, Svirksis, Kotak - ongoing
If contra-EPSP is slower-rising, it recruits more IKLT before fast rise to threshold – lowering probability to fire.
Ipsi leading Contra leading
Contra EPSPs slower than Ipsi EPSPs
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Asymmetry in EPSPs shapes ITD tuningw/ Jercog, Sanes, Svirksis, Kotak - ongoing
In vitro thick slice ITD in dish.
Contra pathway is longer greater latency for EPSPs
Contra inputs are slower rising.
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Effect of inhibition -- counteracts the advantage of faster-rising ipsi inputs...
τinh = 2 ms
With inhibition
Inhibition blocked
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Sound localization and timing computations in the auditory brain stem. J Rinzel, NYU
with G Svirskis, R Dodla, V Kotak, D Sanes, M Day, B Doiron, P Jercog, N GoldingFunded by NIMH, NIDCD and NSF.
• Computational and experimental study – coincidence detection and ITD coding (gerbil MSO, in vitro)
• Subthreshold dynamic negative feedback: GKLT activ’n; phasic firing; brief temporal integration window; integration of noisy inputs (STA)
•The definitive feedforword neuron: bipolar dendrites and distrib’n of Iion
• Coding: •population coding (slope or place code?); role of inhibition; role of EPSP asymmetries + IKLT;• stimulus dependent filter/selectivity.