Description
Book SynopsisIn order to understand how the brain works, it is essential to know WHAT is computed by different brain systems, and HOW those computations are performed. This is the aim of Brain Computations: What and How. Pioneering in its approach, this book will be of interest to all scientists interested in brain function and how the brain works
Trade ReviewThis neuronal network approach stands in contrast to connectionist approaches and also focuses exclusively on higher primate and human modeling. Helpful chapter highlights and several practical appendixes are provided, and the bibliography is excellent. * H. Storl, Augustana College (IL), CHOICE *
This "bottom-up" approach to data-driven neuroscientific discovery serves as the perfect primer for those who study brain sciences, cognitive sciences, artificial intelligence, neuro-engineering, neuropsychology, and empirically oriented philosophy. * H. Storl, CHOICE *
Brain Computations is the first complete attempt to summarize our current knowledge about computation in the brain, at a level a graduate can understand. ... This is a biologically grounded, full systems neuroscience textbook-which makes it one of a kind. ... Hippocampal memories, action selection in the striatum, orbitofrontal reward representations, emotion in the limbic system, cerebellar motor control, parietal spatial coordinate transforms, place fields, and posterior visual object recognition-all these can emerge from relatively simple rules. This is Rolls' unspoken but substantial grand unifying theory. (full review https://doi.org/10.1093/brain/awab477) * Brain *
He concludes with 13 principles about how information in encoded in neural networks. This is almost the Holy Grail of neuroscience, the language of neurons, what makes us what we are. Yet, these ideas are presented in a simple unassuming scientific language ... * Nikolaos C. Aggelopoulos, Neurosurgery *
Table of Contents1: Introduction 2: The ventral visual system 3: The dorsal visual system 4: The taste and flavour system 5: The olfactory system 6: The somatosensory system 7: The auditory system 8: The temporal cortex 9: The hippocampus, memory, and spatial function 10: The parietal cortex, spatial functions, and navigation 11: The orbitofrontal cortex, amygdala, reward value, and emotion 12: The cingulate cortex 13: The motor cortical areas 14: The basal ganglia 15: Cerebellar cortex 16: The prefrontal cortex 17: Language and syntax in the brain 18: Noise in the cortex, stability, psychiatric disease, and aging 19: Computations by different types of brain, and by artificial neural systems Appendix A: Introduction to linear algebra for neural networks Appendix B: Neuronal network models Appendix C: Information theory, and neuronal encoding Appendix D: Simulation software for neuronal network models, and information analysis of neuronal encoding
