how to build a brain a neural architecture for biological cognition

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How To Build A Brain

Author : Chris Eliasmith
ISBN : 9780199794546
Genre : Psychology
File Size : 88. 92 MB
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Chris Eliasmith presents a new approach to understanding the neural implementation of cognition in a way that is centrally driven by biological considerations. According to the Semantic Pointer Hypothesis, higher-level cognitive functions in biological systems are made possible by semantic pointers.

Neural Engineering

Author : Chris Eliasmith
ISBN : 0262550601
Genre : Medical
File Size : 73. 69 MB
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A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.

Principles Of Neural Design

Author : Peter Sterling
ISBN : 9780262028707
Genre : Science
File Size : 66. 54 MB
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Two distinguished neuroscientists distil general principles from more than a century of scientific study, "reverse engineering" the brain to understand its design.

Brain Computation As Hierarchical Abstraction

Author : Dana H. Ballard
ISBN : 9780262028615
Genre : Computers
File Size : 86. 33 MB
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An argument that the complexities of brain function can be understood hierarchically, in terms of different levels of abstraction, as silicon computing is.

Intelligence Emerging

Author : Keith L. Downing
ISBN : 9780262029131
Genre : Computers
File Size : 67. 84 MB
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An investigation of intelligence as an emergent phenomenon, integrating the perspectives of evolutionary biology, neuroscience, and artificial intelligence.

How We Remember

Author : Michael E. Hasselmo
ISBN : 9780262016353
Genre : Medical
File Size : 36. 12 MB
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Episodic memory proves essential for daily function, allowing us to remember where we parked the car, what time we walked the dog, or what a friend said earlier. In How We Remember, Michael Hasselmo draws on recent developments in neuroscience to present a new model describing the brain mechanisms for encoding and remembering such events as spatiotemporal trajectories. He reviews physiological breakthroughs on the regions implicated in episodic memory, including the discovery of grid cells, the cellular mechanisms of persistent spiking and resonant frequency, and the topographic coding of space and time. These discoveries inspire a theory for understanding the encoding and retrieval of episodic memory not just as discrete snapshots but as a dynamic replay of spatiotemporal trajectories, allowing us to "retrace our steps" to recover a memory. In the main text of the book, he presents the model in narrative form, accessible to scholars and advanced undergraduates in many fields. In the appendix, he presents the material in a more quantitative style, providing mathematical descriptions appropriate for advanced undergraduates and graduate students in neuroscience or engineering.

Emergent Neural Computational Architectures Based On Neuroscience

Author : Stefan Wermter
ISBN : 9783540445975
Genre : Computers
File Size : 53. 20 MB
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It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.

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