TY - JOUR
T1 - Automatic neuron detection in calcium imaging data using convolutional networks
AU - Apthorpe, Noah J.
AU - Riordan, Alexander J.
AU - Aguilar, Rob E.
AU - Homann, Jan
AU - Gu, Yi
AU - Tank, David W.
AU - Seung, H. Sebastian
N1 - Funding Information:
We thank Kisuk Lee, Jingpeng Wu, Nicholas Turner, and Jeffrey Gauthier for technical assistance. We also thank Sue Ann Koay, Niranjani Prasad, Cyril Zhang, and Hussein Nagree for discussions. This work was supported by IARPA D16PC00005 (HSS), the Mathers Foundation (HSS), NIH R01 MH083686 (DWT), NIH U01 NS090541 (DWT, HSS), NIH U01 NS090562 (HSS), Simons Foundation SCGB (DWT), and U.S. Army Research Office W911NF-12-1-0594 (HSS).
Publisher Copyright:
© 2016 NIPS Foundation - All Rights Reserved.
PY - 2016
Y1 - 2016
N2 - Calcium imaging is an important technique for monitoring the activity of thousands of neurons simultaneously. As calcium imaging datasets grow in size, automated detection of individual neurons is becoming important. Here we apply a supervised learning approach to this problem and show that convolutional networks can achieve near-human accuracy and superhuman speed. Accuracy is superior to the popular PCA/ICA method based on precision and recall relative to ground truth annotation by a human expert. These results suggest that convolutional networks are an efficient and flexible tool for the analysis of large-scale calcium imaging data.
AB - Calcium imaging is an important technique for monitoring the activity of thousands of neurons simultaneously. As calcium imaging datasets grow in size, automated detection of individual neurons is becoming important. Here we apply a supervised learning approach to this problem and show that convolutional networks can achieve near-human accuracy and superhuman speed. Accuracy is superior to the popular PCA/ICA method based on precision and recall relative to ground truth annotation by a human expert. These results suggest that convolutional networks are an efficient and flexible tool for the analysis of large-scale calcium imaging data.
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M3 - Conference article
AN - SCOPUS:85014685100
SN - 1049-5258
SP - 3278
EP - 3286
JO - Advances in Neural Information Processing Systems
JF - Advances in Neural Information Processing Systems
T2 - 30th Annual Conference on Neural Information Processing Systems, NIPS 2016
Y2 - 5 December 2016 through 10 December 2016
ER -