7 papers
Dynamic sampling of non-stationary spontaneous activity in dissociated neuronal networks
Kazushi Takehana, Dai Akita, Hirokazu Takahashi
Objective. To develop and evaluate an adaptive electrode-selection method for tracking non-stationary spontaneous activity during long-term high-density microelectrode array (HD-ME…
Emergence of Deviance Detection in Cortical Cultures through Maturation, Criticality, and Early Experience
Zhuo Zhang, Amit Yaron, Dai Akita +3
Mismatch negativity (MMN) in humans reflects deviance detection (DD), a core neural mechanism of predictive processing. However, the fundamental principles by which DD emerges and…
Emergent functions of noise-driven spontaneous activity: Homeostatic maintenance of criticality and memory consolidation
Narumitsu Ikeda, Dai Akita, Hirokazu Takahashi
Unlike digital computers, the brain exhibits spontaneous activity even during complete rest, despite the evolutionary pressure for energy efficiency. Inspired by the critical brain…
RatBodyFormer: Rat Body Surface from Keypoints
Ayaka Higami, Karin Oshima, Tomoyo Isoguchi Shiramatsu +3
Analyzing rat behavior lies at the heart of many scientific studies. Past methods for automated rodent modeling have focused on 3D pose estimation from keypoints, e.g., face and ap…
Deviance Detection and Regularity Sensitivity in Dissociated Neuronal Cultures
Zhuo Zhang, Amit Yaron, Dai Akita +3
Understanding how neural networks process complex patterns of information is crucial for advancing both neuroscience and artificial intelligence. To investigate fundamental princip…
Dissociated Neuronal Cultures as Model Systems for Self-Organized Prediction
Amit Yaron, Zhuo Zhang, Dai Akita +3
Dissociated neuronal cultures provide a simplified yet effective model system for investigating self-organized prediction and information processing in neural networks. This review…