10 citations · 11 across the 3 of their papers we have counts for
3 papers
Neuronal Temporal Filters as Normal Mode Extractors
Siavash Golkar, Jules Berman, David Lipshutz +3
To generate actions in the face of physiological delays, the brain must predict the future. Here we explore how prediction may lie at the core of brain function by considering a ne…
Representational dissimilarity metric spaces for stochastic neural networks
Lyndon R. Duong, Jingyang Zhou, Josue Nassar +3
Quantifying similarity between neural representations -- e.g. hidden layer activation vectors -- is a perennial problem in deep learning and neuroscience research. Existing methods…
Bridging the Gap: Point Clouds for Merging Neurons in Connectomics
Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu
In the field of Connectomics, a primary problem is that of 3D neuron segmentation. Although deep learning-based methods have achieved remarkable accuracy, errors still exist, espec…