neuroscience
5 notes, newest first.
Bringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis
The paper introduces Brain Researcher, a platform that aims to improve the accuracy and reliability of AI agents in scientific analyses, particularly in neuroimaging research. It enhances the selection of analysis…
NeuroRefiner: Morphology-Aware Multi-Agent Refinement for 3D Fluorescence Microscopy Neuron Segmentation
The study introduces a new method called NeuroRefiner for accurately segmenting neurons in 3D fluorescence microscopy images. The method overcomes challenges posed by the sparse and elongated morphology of neurons…
Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
The study investigates whether using super-resolution (SR) techniques on Fluid-attenuated Inversion Recovery (FLAIR) scans affects the detection of small white-matter lesions. The research finds that SR tends to erase…
Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark
Researchers have created a new benchmark called Corpus OF Eeg-To-Text (COFETT) to evaluate the feasibility of translating brain signals into text using Electroencephalography (EEG) in real-world scenarios. The study…
BrainPilot: Automating Brain Discovery with Agentic Research
BrainPilot is a multi-agent system designed to accelerate brain science research by integrating evidence from various scales, modalities, and disciplines. The system uses a principal investigator (PI) agent and…
