2 citations · 5 across the 8 of their papers we have counts for
8 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…
Finite-state enumeration of adjacency-constrained 132-avoiding permutations
Teruki Mayama, Dai Akita
For a fixed integer , let be the set of permutations that avoid the pattern and satisfy the adjacency bound for…
Bridging integrated information theory and the free-energy principle in living neuronal networks
Teruki Mayama, Dai Akita, Sota Shimizu +2
Integrated Information Theory (IIT) links consciousness to integrated causal structure, whereas the Free-Energy Principle (FEP) explains self-organization through variational free-…
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…
An Unbiased Variance Estimator with Denominator
Dai Akita
Standard practice obtains an unbiased variance estimator by dividing by rather than . Yet if only half the data are used to compute the mean, dividing by can still yie…
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…
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…
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…