From Neurons to Data: Computational Research on Simulating the Human Brain

The human brain, with its intricate network of neurons and synapses, is one of the most complex systems known to science. This thesis explores the computational modeling of various brain functions, including sensory processing, temporal sequence learning, decision-making, and memory formation. By examining the neurobiological foundations and leveraging advanced computational techniques such as meta-learning, reinforcement learning, and symbolic reasoning, this research aims to develop AI systems that closely mimic human cognition.