g. indiveri refers to a specific model within the realm of neuromorphic engineering that captures the essence of online learning and continual adaptation in neural systems. This model emphasizes how neural architectures can adjust their processing strategies dynamically in response to changing inputs or environments, making it particularly relevant for developing intelligent systems that operate in real-time and learn from experience.
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