functional magnetic resonance imaging
PulseAugur coverage of functional magnetic resonance imaging — every cluster mentioning functional magnetic resonance imaging across labs, papers, and developer communities, ranked by signal.
10 day(s) with sentiment data
-
New UBD method creates universal space for brain dynamics analysis
Researchers have developed a new method called Universal Brain Dynamics (UBD) to create a universal space for analyzing human brain activity. This approach integrates both spatial and temporal properties of brain signal…
-
New research explores how grammar reduces meaning uncertainty across languages
A new research paper explores how grammar reduces meaning uncertainty in language across different languages. The study found that contextual surprisal, influenced by grammar, significantly lowers uncertainty compared t…
-
Researchers adapt Vision Transformers for fMRI analysis using flat maps
Researchers have developed a new family of models called CortexMAE, which adapt Vision Transformers for analyzing functional MRI data by projecting 3D volumes into 2D flat maps. This approach, tested on over 2,000 hours…
-
StableMind improves fMRI decoding with regularized adaptation framework
Researchers have developed StableMind, a new framework for decoding functional Magnetic Resonance Imaging (fMRI) data. This method addresses challenges in adapting models to new subjects with limited data by improving t…
-
OpenAI releases open-source Privacy Filter for local PII redaction
OpenAI has released an open-source tool called Privacy Filter 2026, a 1.5 billion parameter model designed to detect and remove personally identifiable information (PII) directly within a user's browser. This approach a…
-
Meta FAIR releases NeuralSet, bridging neuroscience data and AI models
Meta's Fundamental AI Research (FAIR) team has introduced NeuralSet, a new Python package designed to integrate neuroscience data with artificial intelligence models. This tool is capable of processing various neuroimag…
-
New encoding models link brain activity to language using independent components
Researchers have developed a new independent component (IC)-based encoding framework to analyze brain activity during story comprehension. This method decomposes fMRI data into distinct components, allowing for the pred…
-
LLM-Brain Alignment Varies by Training Data and Task Specificity
Researchers are exploring how large language models (LLMs) align with human brain activity across different languages and tasks. Studies show that intermediate LLM layers best predict brain responses, and this alignment…