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Page 1: 2nd TAC Meeting

2nd TAC Meeting

Christian B. MendlTim Gollisch Lab

Neuronal Coding in the Retinaand Fixational Eye Movements

April 22, 2010

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Outline

• Review of last TAC meeting• Informative spike response

features• Latency coding by cell pairs• Modeling response features• Outlook

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Review of Last TAC Meeting

• Fixational eye movements, microsaccades• Counteract visual perception fading• Enhancement of spatial resolution

• Last TAC meeting: information theory: mutual information, synergy → use as screening tool

• To-do:– stimulus variation: grating instead of border– neuronal model building– decoding strategies

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Informative Spike Response Features

Observed spike responses of a single cell

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Various Response Typesa) b)

d)c)

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Informative Spike Features (cont)Observed spike responses of a single cell

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Informative Spike Responses:Number of Spikes/Trial

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Informative Spike Responses:Internal Structure

ISI (inter-spike-interval)

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Informative Spike Responses:Latency

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Latency Coding by Cell Pairs

• Latency emerges as most informative spike response feature

• Timing reference? (Brain doesn’t know stimulus onset)

• → Need several cells

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Cell Pairs: Experimental Data

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Relative Latencytime intervals accessible to readout by higher brain regions

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Cell Pairs: Latency Scatter Plot

K-means clustering: relative weight of off-diagonal elements:19.1%

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Global Drift Correction

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Drift-Corrected Latency Scatter Plot

K-means clustering:relative weight ofoff-diagonal elements:9.6%

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Latency Correlations

• Observation: global latency drift leads to (artificial) correlations, can correct for that

• Question: cells internally interacting on short-term scale?

• → Compare spikes shuffled by one trial

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Latency Correlations (cont)

shuffled version: no correlations

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Latency Correlation Statistics

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Conclusions Latency Coding

• Use latency instead of spike count and inter-spike-interval

• High information content in latency data from two cells

• Correlations might improve coding

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Comparison with LN Models

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LN Models (cont)

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Conclusions Modeling

• Qualitative agreement• But still much room for

improvement, latency data on 10 ms scale not reproduced

• Gain control might be able to reproduce experimental spike histogram

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Outlook

• Fixational eye movements have been reported in Salamander

• But precise quantification still missing• → Search coil setup