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      Neuroelectric Tuning of Cortical Oscillations by Apical Dendrites in Loop Circuits

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          Abstract

          Bundles of relatively long apical dendrites dominate the neurons that make up the thickness of the cerebral cortex. It is proposed that a major function of the apical dendrite is to produce sustained oscillations at a specific frequency that can serve as a common timing unit for the processing of information in circuits connected to that apical dendrite. Many layer 5 and 6 pyramidal neurons are connected to thalamic neurons in loop circuits. A model of the apical dendrites of these pyramidal neurons has been used to simulate the electric activity of the apical dendrite. The results of that simulation demonstrated that subthreshold electric pulses in these apical dendrites can be tuned to specific frequencies and also can be fine-tuned to narrow bandwidths of less than one Hertz (1 Hz). Synchronous pulse outputs from the circuit loops containing apical dendrites can tune subthreshold membrane oscillations of neurons they contact. When the pulse outputs are finely tuned, they function as a local “clock,” which enables the contacted neurons to synchronously communicate with each other. Thus, a shared tuning frequency can select neurons for membership in a circuit. Unlike layer 6 apical dendrites, layer 5 apical dendrites can produce burst firing in many of their neurons, which increases the amplitude of signals in the neurons they contact. This difference in amplitude of signals serves as basis of selecting a sub-circuit for specialized processing (e.g., sustained attention) within the typically larger layer 6-based circuit. After examining the sustaining of oscillations in loop circuits and the processing of spikes in network circuits, we propose that cortical functioning can be globally viewed as two systems: a loop system and a network system. The loop system oscillations influence the network system’s timing and amplitude of pulse signals, both of which can select circuits that are momentarily dominant in cortical activity.

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          Most cited references67

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          A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex.

          A basic feature of intelligent systems such as the cerebral cortex is the ability to freely associate aspects of perceived experience with an internal representation of the world and make predictions about the future. Here, a hypothesis is presented that the extraordinary performance of the cortex derives from an associative mechanism built in at the cellular level to the basic cortical neuronal unit: the pyramidal cell. The mechanism is robustly triggered by coincident input to opposite poles of the neuron, is exquisitely matched to the large- and fine-scale architecture of the cortex, and is tightly controlled by local microcircuits of inhibitory neurons targeting subcellular compartments. This article explores the experimental evidence and the implications for how the cortex operates. Copyright © 2012 Elsevier Ltd. All rights reserved.
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            The pyramidal neuron of the cerebral cortex: morphological and chemical characteristics of the synaptic inputs.

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              On the actions that one nerve cell can have on another: distinguishing "drivers" from "modulators".

              When one nerve cell acts on another, its postsynaptic effect can vary greatly. In sensory systems, inputs from "drivers" can be differentiated from those of "modulators." The driver can be identified as the transmitter of receptive field properties; the modulator can be identified as altering the probability of certain aspects of that transmission. Where receptive fields are not available, the distinction is more difficult and currently is undefined. We use the visual pathways, particularly the thalamic geniculate relay for which much relevant evidence is available, to explore ways in which drivers can be distinguished from modulators. The extent to which the distinction may apply first to other parts of the thalamus and then, possibly, to other parts of the brain is considered. We suggest the following distinctions: Cross-correlograms from driver inputs have sharper peaks than those from modulators; there are likely to be few drivers but many modulators for any one cell; and drivers are likely to act only through ionotropic receptors having a fast postsynaptic effect whereas modulators also are likely to activate metabotropic receptors having a slow and prolonged postsynaptic effect.
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                Author and article information

                Contributors
                Journal
                Front Syst Neurosci
                Front Syst Neurosci
                Front. Syst. Neurosci.
                Frontiers in Systems Neuroscience
                Frontiers Media S.A.
                1662-5137
                14 June 2017
                2017
                : 11
                : 37
                Affiliations
                [1] 1Department of Cognitive Sciences, University of California, Irvine, Irvine CA, United States
                [2] 2Stanley Laboratory of Electrical Physics, Great Barrington MA, United States
                [3] 3Bard College at Simon’s Rock, Great Barrington MA, United States
                Author notes

                Edited by: Mikhail Lebedev, Duke University, United States

                Reviewed by: Stefano Panzeri, Istituto Italiano di Tecnologia, Italy; Alberto Granato, Università Cattolica del Sacro Cuore, Italy; Giorgio Innocenti, Karolinska Institutet, Sweden

                *Correspondence: David LaBerge, dlaberge@ 123456earthlink.net
                Article
                10.3389/fnsys.2017.00037
                5469893
                d91e9b06-2f5e-4549-8e46-43a9f5b59b60
                Copyright © 2017 LaBerge and Kasevich.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 February 2017
                : 09 May 2017
                Page count
                Figures: 15, Tables: 0, Equations: 0, References: 73, Pages: 23, Words: 0
                Categories
                Neuroscience
                Hypothesis and Theory

                Neurosciences
                oscillations,apical dendrite,pyramidal neuron,thalamus,neural clock,loop circuits,network circuits

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