User:Joshua T. Vogelstein/Notebook/Towards Inferring Neural Circuits using Quantiative Optophysiology

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<!-- sibboleth --><div id="lncal1" style="border:0px;"><div style="display:none;" id="id">lncal1</div><div style="display:none;" id="dtext">04/13/2009</div><div style="display:none;" id="page">User:Joshua T. Vogelstein/Notebook/Towards Inferring Neural Circuits using Quantiative Optophysiology</div><div style="display:none;" id="fmt">yyyy/MM/dd</div><div style="display:none;" id="css">OWWNB</div><div style="display:none;" id="month"></div><div style="display:none;" id="year"></div><div style="display:none;" id="readonly">Y</div></div>

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Project Description/Abstract

  • We develop both theory that facilitates inferring neural circuits using quantitative physiology. More specifically, by visualizing population neural activity with calcium sensors, we can infer the distribution over spike trains, even when noise is high, and imaging frame rates are relatively slow. Given these inferred spike trains, we can then infer models that are most likely to explain the data. Our models incorporate both stimulus dependence effects, and cross-coupling terms between neurons. Thus, our inferred models provide an estimate of the causal connectivities of the neurons within the imaging field. It is our hope that these inferred circuits will facilitate answering numerous quantitative neurobiological questions.


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