Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Jose A. Gonzalez-Lopez

Jose A. Gonzalez-Lopez

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

NLP×1AI×1Signal Processing×1

Frequent co-authors

Lucas Zamora Vera1×

Research Timeline

2026
Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text

This paper compares the performance of recurrent decoders and selective state-space models (Mamba) in intracortical brain-to-text systems, and investigates the impact of output targets (phonetic vs. character) on their performance.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIeess.SPNEWEmpiricalJul 29, 2026

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text

Lucas Zamora Vera, Jose A. Gonzalez-Lopez

This paper compares the performance of recurrent decoders and selective state-space models (Mamba) in intracortical brain-to-text systems, and investigates the impact of output targets (phonetic vs. c…

View →