Semantic reconstruction of continuous language from non-invasive brain recordings
By Jerry Tang, Amanda LeBel, Shailee Jain, Alexander G. Huth. bioRxiv, 2022
435 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/935e0765e93310ca9c64238953900fba56685ae7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
Citations in the corpus
- Position: Levels of AGI for Operationalizing Progress on the Path to AGI (2023, neutral): “Level 4: Virtuoso at least 99th percentile of skilled adults Virtuoso Narrow AI Deep Blue (Campbell et al., 2002), Al-phaGo (Silver et al., 2016; 2017)”
- High-resolution image reconstruction with latent diffusion models from human brain activity (2023, background): “Examples include explicitly presented visual stimuli [17, 26, 30, 32], semantic content of the presented stimuli [15, 31, 52], imagined content [13, 29], perceived emotions [12, 20, 51], and many other related applications [14, 28].”
- Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation (2023, background): “The needs to handle novel applications never used before become evident by recent research [144] that shows the potential of “mind-reading” [145].”