Skip to search formSkip to main contentSkip to account menu>Semantic Scholar Semantic Scholar's Logo

Search

You are currently offline. Some features of the site may not work correctly.

Semantic Scholar uses AI to extract papers important to this topic.

Highly Cited

2012

Highly Cited

2012

We propose a framework for analyzing and comparing distributions, which we use to construct statistical tests to determine if two… Expand

Highly Cited

2011

Highly Cited

2011

The central aim of this paper is to shed light on the nature of explanation in computational neuroscience. I argue that… Expand

Review

2006

Review

2006

This book explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with… Expand

Highly Cited

2002

Highly Cited

2002

PREFACE 1. Introduction 2. The primary visual cortex 3. Extrastriate visual areas 4. The parietal cortex 5. Inferior temporal… Expand

Highly Cited

2001

Highly Cited

2001

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and… Expand

Highly Cited

2000

Highly Cited

2000

Foreword Introduction Introduction to Equation Solving and Parameter Fitting Modeling Networks of Signaling Pathways Modeling… Expand

Highly Cited

1998

Highly Cited

1998

1. The membrane equation 2. Linear cable theory 3. Passive dendritic trees 4. Synaptic input 5. Synaptic interactions in a… Expand

Review

1993

Review

1993

From the Publisher:
The thirty original contributions in this book provide a working definition of "computational neuroscience… Expand

Review

1983

Review

1983

Since the first edition of this book, geometrical methods in the theory of ordinary differential equations have become very… Expand

Highly Cited

1981

Highly Cited

1981

Staying within an objectual interpretation of the quantifiers, perhaps the simplest way to make systematic sense of expressions… Expand