arXiv:2605.29355v1 Announce Type: new 
Abstract: Understanding how cortical activity represents natural whole-body behaviors in primates remains challenging. Limited by the diversity of movements and inaccessibility of large-scale neural representation of whole-body kinematics, previous motor decoding studies focused on constrained tasks and limited limb movements. Here, we present a neural-behavioral recording and modeling framework for freely moving monkeys, combining large-scale epidural cortical signals from distributed sensory- and motor-related areas with synchronized multi-view motion capture through a custom-made data collection platform. We reconstructed whole-body monkey kinematics and learned a compact behavior prior using an autoregressive encoder-decoder model. Conditioned on neural signals, the model decoded accurate and realistic whole-body movement without explicit physical constraints. Our results provide a novel proof-of-concept approach for decoding natural whole-body movements in primates using large-scale intracranial neural activity.

تقدم دراسة جديدة إطارًا لتسجيل السلوك العصبي ونمذجة لفهم الحركات الجسدية الطبيعية في القرود. تجمع هذه الأبحاث بين إشارات قشرية كبيرة النطاق من مناطق حسية وحركية مع التقاط حركة متعدد الزوايا المتزامن، مما يسمح بإعادة بناء حركية الجسم بالكامل وفك تشفير حركات واقعية باستخدام نموذج مشفر-مفكك ذاتي الانحدار.

Un nuevo estudio presenta un marco de grabación y modelado neuro-comportamental para comprender los movimientos corporales naturales en monos. Esta investigación combina señales corticales epidurales a gran escala de áreas sensoriales y motoras con captura de movimiento multi-vista sincronizada, lo que permite la reconstrucción de la cinemática corporal completa y el decodificado de movimientos realistas utilizando un modelo de codificador-decodificador autorregresivo.

Une nouvelle étude présente un cadre d'enregistrement et de modélisation neuro-comportemental pour comprendre les mouvements corporels naturels chez les singes. Cette recherche combine des signaux corticaux épiduraux à grande échelle provenant de zones sensorielles et motrices avec une capture de mouvement multi-vues synchronisée, permettant la reconstruction de la cinématique corporelle entière et le décodage de mouvements réalistes à l'aide d'un modèle d'encodeur-décodeur autorégressif.

A new study presents a neural-behavioral recording and modeling framework for understanding natural whole-body movements in monkeys. This research combines large-scale epidural cortical signals from sensory and motor areas with synchronized multi-view motion capture, allowing for the reconstruction of whole-body kinematics and the decoding of realistic movements using an autoregressive encoder-decoder model.