2 citations · 2 across the 2 of their papers we have counts for
5 papers
Data Processing of Functional Optical Microscopy for Neuroscience
Hadas Benisty, Alexander Song, Gal Mishne +1
Functional optical imaging in neuroscience is rapidly growing with the development of new optical systems and fluorescence indicators. To realize the potential of these massive spa…
Visualizing the PHATE of Neural Networks
Scott Gigante, Adam S. Charles, Smita Krishnaswamy +1
Understanding why and how certain neural networks outperform others is key to guiding future development of network architectures and optimization methods. To this end, we introduc…
Learning spatially-correlated temporal dictionaries for calcium imaging
Gal Mishne, Adam S. Charles
Calcium imaging has become a fundamental neural imaging technique, aiming to recover the individual activity of hundreds of neurons in a cortical region. Current methods (mostly ma…
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer
Nicholas P. Bertrand, Adam S. Charles, John Lee +2
Tracking algorithms such as the Kalman filter aim to improve inference performance by leveraging the temporal dynamics in streaming observations. However, the tracking regularizers…
Interpreting Deep Learning: The Machine Learning Rorschach Test?
Adam S. Charles
Theoretical understanding of deep learning is one of the most important tasks facing the statistics and machine learning communities. While deep neural networks (DNNs) originated a…