amplitude
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Towards robust and generalizable representations of extracellular data using contrastive learning
In CEED, we assume that waveforms are already extracted from an extracellular recording. Each waveform is then passed through our stochastic view generation module, where different views are obtained by applying transformations.
Technology:
Efficient characterization of electrically evoked responses for neural interfaces
Nishal Shah, Sasidhar Madugula, Pawel Hottowy, Alexander Sher, Alan Litke, Liam Paninski, E.J. Chichilnisky
Neural Information Processing Systems http://nips.cc/
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Quantum Deep Equilibrium Models
Our code is available at https://github.com/martaskrt/qdeq.
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- Research Report > Experimental Study (0.92)
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Three-dimensionalspikelocalizationandimproved motioncorrectionforNeuropixelsrecordings
Open source code is available athttps://github.
