An extensively updated edition of Gordon M. Shepherd's book which has had important influence on new concepts concerning the vertebrate brain and its organization of synapses and neuronal systems
Read relevant sections on the hippocampus and on synapse types. I'll keep hold of this for later reference. Though dated (1974), it still provides excellent background, and is well written to boot. I understand there are newer editions, which are likely great.
Just found when I was reorganizing my closet- pleasant memory of college. Unsure how much has changed since then as I've completely fallen out of the field but lauded for being a groundbreaking work of its time.
This book is very useful for me because I'm building a so-called simulator of 'Thinking'. For this purpose, I would give 5 stars on this book.
But for general readers, this book is too much. I recommend Christof Koch's (one of co-author of this book) work "Consciousness: Confessions of a Romantic Reductionist" to taste scientific sense of wonder in studying human-brain.
As for my purpose, 'Wet-ware' architecture of 'CPU in human heads' is described in detail. And, its quantity approach is also helpful to implement simulation program.
If you were a researcher of this area, you'd know better than me :)
This book elaborated in great detail on circuitry of the spinal cord, cochlear nucleus, olfactory bulb, retina, cerebellum, thalamus, basal ganglia, olfactory cortex, hippocampus and cerebral cortex and how groups of neurons give rise to brain functions. It was also helpful for theoretical neurophysiology book from the morphological and physiological modeling assemblies at the cell or systems level.
This book is not a general introduction into neuroscience, instead it is an introduction into neurophysiology. The editor, Gordon Shepherd, was the main discoverer of neural microcircuits (covered at the beginning of the book) which is just another clue showing that the standard model of the neuron as a summation node with a threshold is way too simplistic.
A classic in the field of Neuroscience. I give it a five for historical reasons, although it's certainly a bit dated now. It was written in 1979. Definitely only for hardcore types, though. Requires a great deal of background in neuroscience.