Network: Computation in Neural Systems explores the theoretical and computational aspects of neural networks and other brain-like systems. It publishes original research articles that advance our understanding of how the brain processes information, learns, and adapts. Network: Computation in Neural Systems highlights the use of computational tools and approaches to study neural systems.
Focusing on areas such as neural coding, neural dynamics, learning algorithms, and artificial neural networks, this journal brings together cutting-edge research from diverse fields. It is indexed in key databases like Scopus and Web of Science. This provides essential insights for neuroscientists, computer scientists, and engineers working to unravel the mysteries of the brain.
Explore the frontier of neural network research with Network: Computation in Neural Systems, your source for innovative theoretical and computational insights.