Neural Representation and Neural Computation

Neural Codes and Distributed Representat

📁 Neural Codes and Distributed Representations: Foundations of Neural Computation

✍ Laurence F. Abbott, Terrence J. Sejnowski 📂 Library 📅 1999 🏛 The MIT Press 🌐 English

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the

Neural Computation, Neural Devices, and

📁 Neural Computation, Neural Devices, and Neural Prosthesis

✍ Zhi Yang (eds.) 📂 Library 📅 2014 🏛 Springer-Verlag New York 🌐 English

In the past decades, interdisciplinary investigations overlapping biology, medicine, information science, and engineering have formed a very exciting and active field that attracts scientists, medical doctors, and engineers with knowledge in different domains. A few examples of such investigat

Neural engineering: computation, represe

📁 Neural engineering: computation, representation, and dynamics in neurobiological systems

✍ Chris Eliasmith, C. H. Anderson 📂 Library 📅 2003 🏛 MIT Press 🌐 English

Neural engineering: computation, represe

📁 Neural engineering: computation, representation, and dynamics in neurobiological systems

✍ Chris Eliasmith, C. H. Anderson 📂 Library 📅 2003 🏛 MIT Press 🌐 English

For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In Neural Engineering, Chris Eliasmith and Charles Anderson provide a synthesis of the disparate approaches current in computational neu

Neural Engineering: Computation, Represe

📁 Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems

✍ Chris Eliasmith, C. H. Anderson 📂 Library 📅 2002 🏛 The MIT Press 🌐 English

For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In Neural Engineering , Chris Eliasmith and Charles Anderson provide a synthesis of the disparate approaches current in computational n

Neural Engineering: Computation, Represe

📁 Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems (Computational Neuroscience)

✍ Chris Eliasmith Charles H. Anderson 📂 Library 📅 2002 🌐 English

For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In Neural Engineering, Chris Eliasmith and Charles Anderson provide a synthesis of the disparate approaches current in computational neu