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Books > Social sciences > Psychology > Experimental psychology
Careful data collection and analysis lies at the heart of good
research, through which our understanding of psychology is
enhanced. Yet the students who will become the next generation of
researchers need more exposure to statistics and experimental
design than a typical introductory course presents.
Experimental Design and Analysis for Psychology provides a complete
course in data collection and analysis for students who need to go
beyond the basics.
Acting as a true course companion, the text's engaging writing
style leads readers through a range of often challenging topics,
blending examples and exercises with careful explanations and
custom-drawn figures to ensure even the most daunting concepts can
be fully understood.
Opening with a review of key concepts, including probability,
correlation, and regression, the book goes on to explore the
analysis of variance and factorial designs, before moving on to
consider a range of more specialised, but yet powerful, statistical
tools, including the General Linear Model, and the concept of
unbalanced designs.
Not just a printed book, Experimental Design and Analysis for
Psychology is enhanced by a range of online materials, all of which
add to its value as an ideal teaching and learning resource.
The Online Resource Centre features
For registered adopters:
Figures from the book, available to download.
Answers to exercises featured in the book.
Online-only Part III: bonus chapters featuring more advanced
material, to extend the coverage of the printed book.
For students:
A downloadable workbook, featuring exercises for self-study.
SAS, SPSS and R companions, featuring program code and output for
all major examples in the book tailored to these three software
packages.
In order to understand how the brain works, it is essential to know
what is computed by different brain systems, and how those
computations are performed. Brain Computations: What and How
elucidates what is computed in different brain systems and
describes current computational approaches and models of how each
of these brain systems computes. This approach has enormous
potential for helping us understand ourselves better in health.
Potential applications of this understanding are to the treatment
of the brain in disease, as well as to artificial intelligence,
which will benefit from knowledge of how the brain performs many of
its extraordinarily impressive functions. Pioneering in its
approach, Brain Computations: What and How will be of interest to
all scientists interested in brain function and how the brain
works, whether they are from neuroscience, or from medical sciences
including neurology and psychiatry, or from the area of
computational science including machine learning and artificial
intelligence, or from areas such as theoretical physics.
To understand how the brain learns and remembers requires an
integration of psychological concepts and behavioral methods with
mechanisms of synaptic plasticity and systems neuroscience. The
Neurobiology of Learning and Memory, Third Edition, provides a
synthesis of this interdisciplinary field. Each chapter makes the
key concepts transparent and accessible to a reader with minimal
background in either neurobiology or psychology and is extensively
illustrated with full-color photographs and figures depicting
important concepts and experimental data. The goal of this book
remains the same as it was for the previous editions-to present a
story of how memories are made. The story has three major parts,
which have been expanded to include new chapters or reorganized to
incorporate new findings and concepts. Part One explores the
molecular basis of the synaptic changes that support memory. It
begins with an overview of memory from the perspective of the
brain. It next describes the long-term potentiation methodology
used to study how synapses are modified and concepts needed to
understand the organization of synapses. The remaining chapters are
organized around the idea that the synaptic changes that support
long-term potentiation evolve in four overlapping stages referred
to as (a) generation, (b) stabilization, (c) consolidation, and (d)
maintenance. The goal of each chapter is to reveal that each stage
depends on unique molecular processes and to describe what they
are. There are now separate chapters on the generation and
stabilization of long-term memory and the chapter Consolidating
LTP: Specific Mechanisms has been extensively revised to give
proper treatment to the local events in the dendritic spine region
that consolidate memories. Part Two builds on this foundation to
show how molecules and cellular processes that have been identified
from studies of synaptic plasticity also participate in the making
of memories. It discusses some of the basic conceptual issues
researchers face in trying to relate memory to synaptic molecules
and describes some of the behavioral and neurobiological methods
that are used. The chapters describing the processes involved in
memory formation and consolidation have been extensively modified
to provide a more detailed account of the molecular events that are
engaged to ensure that established memories endure. The chapter
Maintaining Long-Term Potentiation has been revised to provide a
broader view of the topic. New chapters focus on recent advances in
the neurobiology of forgetting (The Yin and Yang of Memory:
Forgetting versus Maintenance) and the search for engrams (Hunting
for Engrams). The Fate of Retrieved Memories chapter has been
significantly revised to emphasize the importance of memory
destabilization processes and how they combine with memory
integration processes to allow new information to be incorporated
into the retrieved memory. Part Three is organized around the
multiple memory systems view-that different neural systems have
evolved to store the content contained in our experience. Three
chapters are aimed at issues that surround how the medial-temporal
hippocampal system supports episodic memory. The first begins with
a discussion of Brenda Milner's research on H.M. that directed
researchers to the hippocampus. The Hippocampus Index and Episodic
Memory chapter has been significantly revised to include new
findings, based on modern molecular techniques, that support Teyler
and DiScenna's hippocampus index theory. A separate chapter, When
Memories Age, is devoted to issues that emerge when researchers
confront what happens as memories grow old. Next the
cortical-striatal system and its relationship to what are called
behavioral actions and habits is described, and the book ends with
a discussion of neural systems involved in the acquisition and
removal of emotional memories.
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