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Chapter 2 - Morphology and electroresponsive properties of neocortical cells

Published online by Cambridge University Press:  18 August 2009

Mircea Steriade
Affiliation:
Université Laval, Québec
Denis Pare
Affiliation:
Rutgers University, New Jersey
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Summary

The prerequisite for discussing changes in responsiveness and sculpting inhibitory processes of neocortical neurons during different behavioural states (see Chapters 6 and 7) is the description of various neuronal types and their functional properties, which is the subject of this chapter.

Varieties, immunoreactivity and connectivity of neocortical neuronal classes

The mammalian neocortex is a laminated structure that contains up to 28 × 109 neurons that are connected by about 1012 synapses. The attempt to simplify the functional complexity of the neocortex started with the description of the columnar organization into modules that have a basic similarity of internal design and operation (see Mountcastle, 1997, 1998). The neocortex consists of a large population of long-axon (output) neurons that are excitatory and reciprocally connected to each other in the same and/or opposite hemisphere as well as to thalamocortical (TC) neurons, and a smaller population of local-circuit inhibitory neurons.

Besides morphological techniques that distinguish these two neuronal classes (Figures 2.1–2.3), physiological identification of output neurons is possible using antidromic and orthodromic activations (Figures 2.4 and 2.5), which determine the sources of synaptic inputs and neuronal targets (Evarts, 1964, 1965; Steriade et al., 1974a) thus leading to systematizations with a limited number of neuronal categories. These are rather difficult techniques in behaving animals; with some exceptions (Steriade et al., 2001a, b), they are rarely used nowadays. Neocortical neurons have been classified into four categories according to their intrinsic electrophysiological properties, as determined by responses to intracellular current pulses (see Section 2.3).

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Publisher: Cambridge University Press
Print publication year: 2007

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