β Scribed by Larry Cauller (auth.), Robert Hecht-Nielsen PhD, Thomas McKenna PhD (eds.)
No coin nor oath required. For personal study only.
Formal study of neuroscience (broadly defined) has been underway for millennia. For example, writing 2,350 years ago, Aristotle! asserted that association - of which he defined three specific varieties - lies at the center of human cognition. Over the past two centuries, the simultaneous rapid advancements of technology and (conseΒ quently) per capita economic output have fueled an exponentially increasing effort in neuroscience research. Today, thanks to the accumulated efforts of hundreds of thousands of scientists, we possess an enormous body of knowledge about the mind and brain. Unfortunately, much of this knowledge is in the form of isolated factoids. In terms of "big picture" understanding, surprisingly little progress has been made since Aristotle. In some arenas we have probably suffered negative progress because certain neuroscience and neurophilosophy precepts have clouded our self-knowledge; causing us to become largely oblivious to some of the most profound and fundamental aspects of our nature (such as the highly distinctive propensity of all higher mammals to automatically segΒ ment all aspects of the world into distinct holistic objects and the massive reorganizaΒ tion of large portions of our brains that ensues when we encounter completely new environments and life situations). At this epoch, neuroscience is like a huge collection of small, jagged, jigsaw puzΒ zle pieces piled in a mound in a large warehouse (with neuroscientists going in and tossing more pieces onto the mound every month).
Front Matter....Pages i-xix
The Neurointeractive Paradigm: Dynamical Mechanics and the Emergence of Higher Cortical Function....Pages 1-23
The Cortical Pyramidal Cell as a Set of Interacting Error Backpropagating Dendrites: Mechanism for Discovering Natureβs Order....Pages 25-64
Performance of Intelligent Systems Governed by Internally Generated Goals....Pages 65-84
A Theory of Thalamocortex....Pages 85-124
Elementary Principles of Nonlinear Synaptic Transmission....Pages 125-169
The Development of Cortical Models to Enable Neural-based Cognitive Architectures....Pages 171-204
The Behaving Human Neocortex as a Dynamic Network of Networks....Pages 205-219
Towards Global Principles of Brain Processing....Pages 221-243
The Neural Networks for Language in the Brain: Creating LAD....Pages 245-265
Cortical Belief Networks....Pages 267-287
Back Matter....Pages 289-299
Neurosciences; Artificial Intelligence (incl. Robotics); Simulation and Modeling; Neurology
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