Article

Low-latency extracellular spike assignment for high-density electrodes at single-neuron resolution

2023-09-15

Abstract excerpt

Real-time neural signal processing is essential for brain-machine interfaces and closed-loop neuronal perturbations. However, most existing applications sacrifice cell-specific identity and temporal spiking information for speed. We developed a hybrid hardware-software system that utilizes a Field Programmable Gate Array (FPGA) chip to acquire and process data in parallel, enabling individual spikes from many simu...

Topics

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

Identifiers and source

Literature Corpus work: 101e05c9-3bca-5c47-943d-b72158d2e070
DOI: 10.1101/2023.09.14.557854

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Low-latency extracellular spike assignment for high-density electrodes at single-neuron resolutionDOI 10.1101/2023.09.14.557854Read

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

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

Online Epileptic Seizure Detection in Long-term iEEG Recordings Using Mixed-signal Neuromorphic CircuitsSemantic proximity Read

Large-scale neural recordings with single-cell resolution in human cortex using high-density Neuropixels probesSemantic proximity Read

End-to-end multimodal deep learning for real-time decoding of months-long neural activity from the same cellsSemantic proximity Read

A Closer-to-Brain Heterosynaptic Learning Rule for Spatiotemporal Spike Pattern Detection with Low-Resolution SynapseSemantic proximity Read

Cellular-scale silicon probes for high-density, precisely-localized neurophysiologySemantic proximity Read

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

Functional Cell-Type Identification in Neuronal Networks Using High-Density Microelectrode ArraysSemantic proximity Read