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?