Computational Neuroscience for Advancing Artificial Intelligence:
Models, Methods and Applications captures the latest research in
this area, providing a learning theorists with a mathematically
sound framework within which evaluate their models. The
significance of this book lies in its theoretical advances, which
are grounded in an understanding of computational and biological
learning. The approach taken moves the entire field closer to a
watershed moment of learning models, through the interaction of
computer science, psychology and neurobiology.
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