Defining the contributions of network clock models to millisecond timing.

Uma R Karmarkar

doi:10.3389/fnint.2011.00041

Abstract

Defining the contributions of network clock models to millisecond timing.

Highlights

We focus here on interval discrimination in the range of tens to hundreds of milliseconds, which plays an important role in a variety of tasks, such as speech processing, motion detection, and fine motor coordination
Compared to models of millisecond timing based on a single centralized mechanism (Treisman, 1963; Church, 1984; Gibbon et al, 1997; Ivry and Spencer, 2004) network clock models imply that timing is being done in multiple loci across the cortex
To understand the behavior of network clocks, it is useful to examine a particular instantiation, referred to as a state-dependent network (SDN), which has been developed in the context of sensory processing (Karmarkar and Buonomano, 2007)

Summary

Introduction

We focus here on interval discrimination in the range of tens to hundreds of milliseconds, which plays an important role in a variety of tasks, such as speech processing, motion detection, and fine motor coordination. Compared to models of millisecond timing based on a single centralized mechanism (Treisman, 1963; Church, 1984; Gibbon et al, 1997; Ivry and Spencer, 2004) network clock models imply that timing is being done in multiple loci across the cortex. To understand the behavior of network clocks, it is useful to examine a particular instantiation, referred to as a state-dependent network (SDN), which has been developed in the context of sensory processing (Karmarkar and Buonomano, 2007).

Results

Conclusion