
Nonfiction
Track this book
You choose which shelves are public. Progress and read dates stay yours.
About
"In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their…
Reviews
Rating integrity
HealthyCounted ratings come from accounts older than 7 days and were made on or after publication. Finished readers weigh ×1.0. Readers who have not finished yet weigh ×0.5. Did-not-finish ratings are shown but not counted.
Editions
3 editions- Other · English · 2022Princeton University Press · 9780691241692
- Other · English · 2021Princeton University Press · 384 pages · 9780691215518
- Other · English · 2021Princeton University Press · 9780691181226
Neural networks (Computer science)Neural circuitryAdaptationLearningPsysiological aspectsArtificial intelligence






