Carsen Stringer is an American computational neuroscientist and Group Leader at the Howard Hughes Medical Institute Janelia Research Campus.

[1] Stringer combined her experience in mathematical modelling with her skills and knowledge in neuroscience to explore how multi-neuron recordings can be used to understand the population dynamics that reflect internal state and representations of external stimuli in the brain.

[3] Her recordings were performed in the rodent visual cortex and she used a variety of machine learning and dimensionality reduction techniques to explore the network level mechanisms that give rise to neural dynamics.

[1] She worked under the mentorship of Marius Pachitariu and Karel Svoboda to innovate novel ways to apply deep learning tools for object segmentation, image analyses, and extracting computational principles from large scale neural recordings.

[4] She found that the strength of feedback inhibition in the model seemed to underlie the variability and in the neural data, putative inhibitory neurons seemed to be more active during times with weak noise correlations.

[4] Stringer's results verified her network model for intrinsically generated variability and it emphasized the impact of inhibition in the modulation of noise correlations.

[9] Stringer and her team frequently retrain the model with user-provided images which constantly improves the tool allowing for unbiased and efficient detection of cellular objects.

[15] Her work is critical as it shines a light on the many ways that calcium imaging analyses can produce biases that lead to inaccurate scientific interpretations.