Tag: computational neuroscience
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Biology-based brain model matches animals in learning, enables new discovery
Biology-inspired brain model achieves animal-like learning and sparks new discoveries A recently developed computational model of the brain, grounded in detailed biology and physiology, demonstrates learning performance on a simple visual categorization task that matches lab animals. More strikingly, this model has begun to reveal counterintuitive neural activity patterns that challenge long-held assumptions about how…
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Biology-based Brain Model Learns Like Animals, Unveiling New Insights
Groundbreaking Alignment Between Biology and Computation A new computational brain model has emerged from close study of biology and physiology. This model doesn’t merely simulate neural networks; it mirrors the brain’s wiring and dynamics in ways that let it learn a task with the same precision as lab animals. By rooting computation in biological principles,…
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Modeling and simulation of neocortical micro- and mesocircuitry (Part I, anatomy)
Introduction: Why anatomy matters in neocortical modeling Understanding the cortex begins with its anatomy. The neocortex orchestrates perception, memory, and higher cognitive functions through complex interactions across micro- and mesocircuit scales. In modern computational neuroscience, data-driven, biophysically detailed models rely on accurate anatomical descriptions to simulate realistic dynamics. This Part I (anatomy) sets the foundation…