|
Description
|
|
|
|
|
|
|
|
|
|
|
|
The distributed coding hypothesis —the view that
complex cognitive functions such as visual perception or memory formation
are the work of large networks of neurons in areas of the cerebral
cortex —is widely accepted in contemporary neuroscience. Yet only
in recent years have tools emerged that can monitor the
electrophysiological activity of neuron ensembles in the cortical
areas of awake, behaving animals. The use of these multichannel
recording techniques in biological network analysis is changing the
way scientists view brain function. These methods also offer the
possibility of a direct test of the distributed coding hypothesis.
Neuronal Ensembles: Strategies for Recording and Decoding
presents a comprehensive treatment of multichannel recording
techniques —how to apply them and how to analyze the vast amounts
of data they generate. Composed of contributions by leading
neuroscientists at the forefront of this technology, the book
covers groundbreaking work in multichannel microelectrode
technology, analyses of single neuron spike trains, and ensemble
analysis of cell populations. The authors outline established techniques,
offer practical tips on developing new methods, and share their
ideas for further brain research.
Topics covered include:
- Extracellular
recording and analysis of neural activity
- The
relationship between neuronal codes and cortical organization
- Cell
assemblies and cognitive function
- Neuronal
population coding
- Motor
cortical information processing
- Detection
and identification of ensemble codes in the motor cortex
- Ensemble
recordings and the nature of stimulus representation in
hippocampal cognitive maps
- Methods,
results, and issues related to recording neural ensembles
- Neuronal
ensemble dynamics in the hippocampus and neocortex during
sleep and waking
- Behavioral,
electrophysiological, and genetic approaches to the study of
synaptic plasticity and memory
Neuronal Ensembles: Strategies for Recording and Decoding is an
important reference for researchers, graduate students, and
postdoctoral fellows in all areas of neuroscience, cognitive
neuroscience, and bioengineering.
|
