Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

We’ve put together some practical python code examples that cover a bunch of different skills. Whether you’re brand new to ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...

It's a solved problem, but I actually prefer a simple web UI.

Another big drawback: Any modules not written in pure Python can’t run in Wasm unless a Wasm-specific version of that module is compiled ahead of time. Unless you have a specially compiled version of, ...

Many schools across the U.S. offer robotics through a technical elective or club centered on coding, building, and competition. But in a rapidly evolving economy, more is needed. Robotics, which ...

In this work we present two main contributions: the first one is a Python implementation of the discrete approximation of the Laplace-Beltrami operator (LBO) (Belkin et al., 2008) allowing us to solve ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...