Spike Sorting

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Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (51 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Neural Clustering Processes
  28 Dec 2018 5 repositories listed
  Probabilistic clustering models (or equivalently, mixture models) are basic building blocks in countless statistical models and involve latent random variables over discrete spaces.
• E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processing
  19 Sep 2024 2 repositories listed
  Decoding extracellular recordings is a crucial task in electrophysiology and brain-computer interfaces.
• Edge computing on TPU for brain implant signal analysis
  28 Feb 2023 1 repository listed
  The ever-increasing number of recording sites of silicon-based probes imposes a great challenge for detecting and evaluating single-unit activities in an accurate and efficient manner.
• Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation
  13 May 2022 1 repository listed
  Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities.
• Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders
  18 Sep 2021 1 repository listed
  Extracellular recordings are severely contaminated by a considerable amount of noise sources, rendering the denoising process an extremely challenging task that should be tackled for efficient spike sorting.
• An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions
  6 Jul 2021 1 repository listed
  Here, we develop an automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions to address these distortions and instabilities.
• Short and Sparse Deconvolution --- A Geometric Approach
  1 May 2020 1 repository listed
  Short-and-sparse deconvolution (SaSD) is the problem of extracting localized, recurring motifs in signals with spatial or temporal structure.
• Efficient characterization of electrically evoked responses for neural interfaces
  1 Dec 2019 1 repository listed
  Large-scale, high-density electrical recording and stimulation in primate retina were used as a lab prototype for an artificial retina.
• Spike Sorting using the Neural Clustering Process
  11 Sep 2019 1 repository listed
  We present a novel approach to spike sorting for high-density multielectrode probes using the Neural Clustering Process (NCP), a recently introduced neural architecture that performs scalable amortized approximate…
• Short-and-Sparse Deconvolution -- A Geometric Approach
  28 Aug 2019 1 repository listed
  This paper is motivated by recent theoretical advances, which characterize the optimization landscape of a particular nonconvex formulation of SaSD.
• Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
  29 May 2019 1 repository listed
  Determining the positions of neurons in an extracellular recording is useful for investigating functional properties of the underlying neural circuitry.
• Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording
  14 Sep 2018 1 repository listed
  The proposed model is built upon a deep compressive autoencoder (CAE) with discrete latent embeddings.
• Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders
  12 Jul 2018 1 repository listed
  We demonstrate the ability of CRsAE to recover the underlying dictionary and characterize its sensitivity as a function of SNR.
• YASS: Yet Another Spike Sorter
  1 Dec 2017 1 repository listed
  Spike sorting is a critical first step in extracting neural signals from large-scale electrophysiological data.
• Fast and accurate spike sorting of high-channel count probes with KiloSort
  1 Dec 2016 1 repository listed
  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.
• High-dimensional cluster analysis with the Masked EM Algorithm
  11 Sep 2013 1 repository listed
  Cluster analysis faces two problems in high dimensions: first, the `curse of dimensionality' that can lead to overfitting and poor generalization performance; and second, the sheer time taken for conventional algorithms…