A Computationally Efficient Method for Incorporating Spike Waveform Information into Decoding Algorithms

DOI10.1162/NECO_a_00731zbMath1414.92055DBLPjournals/neco/VenturaT15OpenAlexW2134216299WikidataQ41213094 ScholiaQ41213094MaRDI QIDQ5380236

Sonia Todorova, Valérie Ventura

Publication date: 4 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_00731

zbMATH Keywords

decoding algorithmsspike waveform informationspike-based brain-computer interfaces

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Medical applications (general) (92C50)

Related Items (1)

Neural Decoding: A Predictive Viewpoint

Cites Work

• Vector reconstruction from firing rates
• Automatic Spike Sorting Using Tuning Information
• Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter
• A review of methods for spike sorting: the detection and classification of neural action potentials
• Dynamic Analyses of Information Encoding in Neural Ensembles
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