About Emiliano's Lab
Emiliano's Lab is a home for neuroscience experiments built by Emiliano Cuevas. Work here spans computational approaches (predicting or encoding brain responses) and empirical methods (for example EEG and other recordings). The goal is the same in every study: pose a clear question, use appropriate data, and interpret results carefully.
Computational & in-silico studies
Several experiments use TRIBE v2, a multimodal brain encoding model from Meta Research. It was trained on over 1,000 hours of neuroimaging data across 720 subjects and can predict the fMRI response of the human cortex to text, audio, and video inputs. Those projects use the “unseen subject” mode, which returns group-average predictions rather than individual brain responses — useful for asking what a model says about condition differences without collecting new fMRI.
Empirical recordings
Other experiments use data measured directly from participants — such as EEG — with standard acquisition, preprocessing, and analysis pipelines. Those write-ups focus on design, signal processing, and inference for that modality.
What does “in silico” mean?
In silico is Latin for “in silicon” — experiments performed on a computer, as opposed to in vitro (in glass) or in vivo (in living organisms). Here, it usually means predicting or simulating brain activity computationally rather than measuring it in a scanner, though the lab also includes in vivo recording work.
How the experiments are organized
In-silico studies often follow a fixed pattern: feed stimuli into an encoding model to obtain predicted cortical maps (for TRIBE v2, 20,484 vertices per sample), then train a classifier or run statistics to test whether representations differ across conditions. Empirical studies follow whatever pipeline fits the hypothesis and the recording setup. Each experiment page documents its own methods and limitations.
Built by Emiliano Cuevas — a research prototype, not for clinical use.