Networks from Time Series: Deciphering the Brain Connectome

Ann Arbor MI 09-19-2019 09-19-2019

Networks from Time Series: Deciphering the Brain Connectome High-dimensional time series have become ubiquitous in many scientific fields. They are particularly instrumental in monitoring the activities of neurons and/or brain regions, and have led to valuable insight into cognitive processes and neurodegenerative diseases. I will discuss new methodological, computational, and theoretical developments for learning networks from high-dimensional time series. Motivated by emerging calcium florescent imaging data that record the activities of individual neurons, the talk will primarily focus on learning neuronal connectivity networks from high-dimensional spike train data. Time permitting, I will also discuss a new approach for learning networks from multiple experiments, and handling non-stationarity in brain imaging data.

Biostatistics Seminar with Ali Shojaie, PhD

icon to add this event to your google calendarSeptember 19, 2019
3:00 pm - 5:00 pm
3755 SPH I
1415 Washington Heights
Ann Arbor, MI 48109-2029

Contact Information: Irene Felicetti 764-5452

Networks from Time Series: Deciphering the Brain Connectome High-dimensional time series have become ubiquitous in many scientific fields. They are particularly instrumental in monitoring the activities of neurons and/or brain regions, and have led to valuable insight into cognitive processes and neurodegenerative diseases. I will discuss new methodological, computational, and theoretical developments for learning networks from high-dimensional time series. Motivated by emerging calcium florescent imaging data that record the activities of individual neurons, the talk will primarily focus on learning neuronal connectivity networks from high-dimensional spike train data. Time permitting, I will also discuss a new approach for learning networks from multiple experiments, and handling non-stationarity in brain imaging data.

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