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Found 6 papers, 1 papers with code
Neuromatch Academy: Teaching Computational Neuroscience with global accessibility
Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or flipped) classrooms and on small group projects.
Fast and accurate spike sorting of high-channel count probes with KiloSort
Unlike previous algorithms that compress the data with PCA, KiloSort operates on the raw data which allows it to construct a more accurate model of the waveforms.
Extracting regions of interest from biological images with convolutional sparse block coding
We perform extensive experiments on simulated images and the inference algorithm consistently recovers a large proportion of the cells with a small number of false positives.
Recurrent linear models of simultaneously-recorded neural populations
We show that RLMs describe motor-cortical population data better than either directly-coupled generalised-linear models or latent linear dynamical system models with generalised-linear observations.
Regularization and nonlinearities for neural language models: when are they needed?
We develop a slightly modified IRLM that separates long-context units (LCUs) from short-context units and show that the LCUs alone achieve a state-of-the-art performance on the MRSC task of 60. 8%.
Learning visual motion in recurrent neural networks
We present a dynamic nonlinear generative model for visual motion based on a latent representation of binary-gated Gaussian variables.
