Ulteriori informazioni
Brain Computations and Connectivity is about how the brain works and elucidates what is computed in different brain systems and describes current biologically plausible computational approaches and models of how each of these brain systems computes.
Sommario
- 1: Introduction
- 2: The ventral visual system
- 3: The dorsal visual system
- 4: The taste and flavor 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, emotion, and decision-making
- 12: The cingulate cortex
- 13: The prefrontal cortex
- 14: Language and syntax in the brain
- 15: The motor cortical areas
- 16: The basal ganglia
- 17: Cerebellar cortex
- 18: Cortical attractor dynamics and connectivity, stochasticity, psychiatric disorders, 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: Neuronal encoding, and information theory
- Appendix D: Simulation software for neuronal networks, and information analysis of neuronal encoding
- Bibliography
- Index
Info autore
Professor Edmund T. Rolls performs full-time research at the Oxford Centre for Computational Neuroscience, and at the University of Warwick, and has performed research and teaching for many years as Professor of Experimental Psychology at the University of Oxford, and as Fellow and Tutor of Corpus Christi College, Oxford. His research links computational neuroscience to neurophysiological, human functional neuroimaging and neuropsychological studies in order to provide a fundamental basis for understanding how the brain operates in health and in disease.
Riassunto
Brain Computations and Connectivity is about how the brain works and elucidates what is computed in different brain systems and describes current biologically plausible computational approaches and models of how each of these brain systems computes.
Testo aggiuntivo
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 ...
