Theoretical Neuroscience or Microsoft Office Publisher 2007

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Author: Peter Dayan

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

Table of Contents:

1	Neural encoding I : firing rates and spike statistics	3
2	Neural encoding II : reverse correlation and visual receptive fields	45
3	Neural decoding	87
4	Information theory	123
5	Model neurons I : neuroelectronics	153
6	Model neurons II : conductances and morphology	195
7	Network models	229
8	Plasticity and learning	281
9	Classical conditioning and reinforcement learning	331
10	Representational learning	359
App. 1	Linear algebra	399
App. 2	Finding extrema and Lagrange multipliers	408
App. 3	Differential equations	410
App. 4	Electrical circuits	413
App. 5	Probability theory	415

See also: Abortion and Life or Our Undemocratic Constitution

Microsoft Office Publisher 2007: Introductory Concepts and Techniques

Author: Gary B Shelly

Microsoft Publisher 2007: Introductory Concepts and Techniques provides a project-based, step-by-step approach to teaching Publisher 2007.