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Research on Neural Networks and Cognitive Science

Explore the intersection of neuroscience, artificial neural networks, and cognitive science—fields that together are unlocking the mysteries of intelligence, learning, and consciousness.

Key Topics

How artificial neural networks are inspired by the brain
What cognitive science reveals about perception, memory, and learning
Comparisons between machine learning and human cognition
Insights from neuroscience that inform AI architectures
Open questions about consciousness and computation

Recommended Books & Papers

Ian Goodfellow, Yoshua Bengio & Aaron Courville – Deep Learning
Steven Pinker – How the Mind Works
James L. McClelland & David E. Rumelhart – Explorations in Parallel Distributed Processing
Thomas Metzinger – Surfing the Consciousness
Nature – How AI is helping us decode the human brain
Neuron – Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Further Exploration

Coursera – Neural Networks and Deep Learning (free course)
MIT OpenCourseWare – The Human Brain
Scientific American – How Close Are We to Reverse Engineering the Human Brain?

Recommended Resources

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