NS-Copilot: An LLM-Driven Agent System for Autonomous Neuroscience Analysis

arXiv:2609.01971 · cs.CL · Submitted 2026-09-02 · Read on arXiv

cs.CL

Submitted: 2026-09-02

Updated: 2026-09-10

Terminology

• Benchmark — 24× in this paper · explained in 2 episodes
• Foundation Model — 14× in this paper · explained in 3 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Foundation Models — 10× in this paper · explained in 7 episodes
• AUROC — 7× in this paper · explained in 2 episodes
• Core — 7× in this paper · explained in 2 episodes
• Closed-Loop Optimization — 4× in this paper · explained in 2 episodes
• Failure Modes — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Transformer — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Adaptive Selection — 2× in this paper · explained in 1 episode
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Adaptive Planning — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• AIDE: AI-Driven Exploration in the Space of Code
• EEG-Bench: A Benchmark for EEG Foundation Models in Clinical Applications
• TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
• SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
• SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models
• EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
• NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines

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