Article

A fully automated spike sorting algorithm using t-distributed neighbor embedding and density based clustering

2018-09-15

Abstract excerpt

In this study, a new spike sorting method was developed based on a combination of two methods, t-Distributed Stochastic Neighbor Embedding (t-SNE) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Parameters of both methods were simultaneously optimized using a Genetic Algorithm (GA) using a simulated dataset containing 2 to 20 simultaneously recorded neurons. The performance of this method...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4dbea046-ad93-5c2a-b5ae-19b0c996858c
DOI: 10.1101/418913

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A fully automated spike sorting algorithm using t-distributed neighbor embedding and density based clusteringDOI 10.1101/418913Read

T-SNE visualization of large-scale neural recordingsSemantic proximity Read

Low-latency extracellular spike assignment for high-density electrodes at single-neuron resolutionSemantic proximity Read

Machine learning-based spike sorting reveals how subneuronal concentrations of monomeric Tau cause a loss in excitatory postsynaptic currents in hippocampal neuronsSemantic proximity Read

A Semi-Automated MEA Spike sorting (SAMS) method for high throughput assessment of cultured neuronsSemantic proximity Read

Optimal inter-electrode distances for maximizing single unit yield per electrode in neural recordingsSemantic proximity Read

CUSP: Complex Spike Sorting from Multi-electrode Array Recordings with U-net Sequence-to-Sequence PredictionSemantic proximity Read

Compact Standalone Platform for Neural Recording with Real-Time Spike Sorting and Data LoggingSemantic proximity Read

Estimating the dimensionality of the manifold underlying multi-electrode neural recordingsSemantic proximity Read

Unsupervised Clustering Reveals Spatially Varying Single Neuronal Firing Patterns in the Subthalamic Nucleus of Patients with Parkinson’s DiseaseSemantic proximity Read

Using deep neural networks to detect complex spikes of cerebellar Purkinje CellsSemantic proximity Read

Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG SignalsSemantic proximity Read

Waveform-based classification of dentate spikesSemantic proximity Read