Decoding Neural Population Dynamics through Robotic Analog

arXiv:2610.09977 · cs.RO · Submitted 2026-10-07 · Read on arXiv

cs.RO

Submitted: 2026-10-07

Updated: 2026-10-07

Code: https://github.com/gamaleldin/TME

Terminology

• Actor — 26× in this paper · explained in 3 episodes
• Redundancy — 14× in this paper · explained in 2 episodes
• Reinforcement Learning — 11× in this paper · explained in 4 episodes
• Robustness — 9× in this paper · explained in 5 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Calibration — 8× in this paper · explained in 7 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Action Space — 4× in this paper · explained in 1 episode
• Pruning — 4× in this paper · explained in 4 episodes
• Soft Actor-Critic — 4× in this paper
• Sparsity — 4× in this paper · explained in 4 episodes
• Decode — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Decoupling — 2× in this paper · explained in 2 episodes
• Energy Efficiency — 2× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Soft Actor-Critic (SAC) — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Abundance — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Closed-Loop System — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Markov Decision Process — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Multi-modal Inputs — 1× in this paper · explained in 2 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes
• Temporal Correlations — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

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