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Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

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Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202
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Page 1: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Neuronal Computationin the Auditory System

Matthew A. Xu-Friedman

641 Cooke Hall

645-2363 x202

Page 2: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Question

How are cells in the brain specialized to carry out behaviorally relevant computations?

Approaches

• Identify computations carried out in vivo

• Use brain slice recordings to characterize cells and synapses

• Determine which properties are critical to in vivo behavior

Page 3: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Mammalian Auditory System

• Analyzing and localizing sounds

• Requires precise temporal information

• Encoded in precise timing of neuronal activity (spikes)

• Synapses are specialized to preserve and improve temporal information

Page 4: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

AuditoryNerve

Bushy Cell

from Ryugo & Fekete (1982)

20 µm

Jitter Reduction in Auditory Brainstem

0 10 20 30 ms

0 10 20 30 ms

from Joris et al. (1994)

Page 5: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

2 ms

Voltage clamp

2 nA

Current clamp0

–30

–60

Vm (

mV

)

2 ms

MouseP16–21, 34°

Auditory Nerve Synapses onto Bushy Cells Are Powerful

20 ms

2 nA

0

–30

–60

Vm (

mV

)

Page 6: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Mimicking Auditory Nerve Inputs with Dynamic Clamp

Stim

ANs

–30

–60

2 ms

10 nS

N = 1Synaptic Conductance

Membrane Potential

N = 4

Page 7: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Jitter Reduction with Multiple Inputs

1 ms

500 spikes/s

12

4

3

1

0

SD

ou

t (m

s)41 # Inputs

N = 1

2

3

4

1 ms

Page 8: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Conclusion

Suprathreshold inputs can contribute to significant jitter reduction, even when the number of inputs is low.

• Higher rates of activity• Neuromodulators• More realistic firing patterns• Development

Future Plans

Page 9: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

QuestionWhat is the relationship between a synapse’s structure and its functional and physiological properties?

Approaches• Study synaptic properties using brain slices

• Study anatomy using electron microscopy

• Compare synapses with different properties

Page 10: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Cerebellar Synapses

MossyFiber

GranuleCell

PurkinjeCell

ClimbingFiber

from Palay & Chan-Palay (1974)

Page 11: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Receptor Desensitization Contributes to Depression at Mossy Fibers

Control

Dittman & Regehr (1998)

25 pA

10 ms

Cyclothiazide

Xu-Friedman & Regehr (2003)

Mossy Fiber

Climbing Fiber

Page 12: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Electron Microscopy of Climbing Fibers

0.5 m

Page 13: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Serial Electron Microscopy

Page 14: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

Mossy Fiber Synapses Are Densely Packed, Without Intervening Glia

Climbing Fiber Mossy Fiber

Page 15: Neuronal Computation in the Auditory System Matthew A. Xu-Friedman 641 Cooke Hall 645-2363 x202.

ConclusionDense packing of mossy fiber release sites can lead to

receptor desensitization and depression

Future Plans• Can ultrastructure explain other features of synapses,

such as facilitation?

• Electron tomography


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