Literature DB >> 2355247

Visibility of synaptically induced conductance changes: theory and simulations of anatomically characterized cortical pyramidal cells.

C Koch1, R Douglas, U Wehmeier.   

Abstract

A recent report has provided evidence that there are no significant increases in the neuronal input conductance during the response of cortical cells in cat visual cortex to non-preferred visual stimuli (Douglas et al., 1988). A criticism of experiments of this kind is that changes in the membrane conductance occurring in the dendritic tree may not be visible from electrodes that impale the soma. Our paper describes theoretical and numerical results concerning the visibility of synaptically induced conductance changes from intracellular electrodes, in both ideal and anatomically well-characterized cortical neurons. Based on earlier work by Rall (1967), we here derive theoretical expressions for the change in input conductance at any location in a passive dendritic tree resulting from activation of a single synapse and obtain bounds for the effects of multiple synapses. We find that the conductance change measured at the cell body is always less than the sum of the synaptic conductance changes and that this observed conductance change does not depend on the synaptic reversal potential. For the case of an infinite dendritic cylinder, the change in input resistance due to a single synaptic input decays exponentially with distance of the synapse from the recording site. Numerical simulations of synaptic inputs that change approximately as fast as the membrane time-constant produce an increase in input conductance that is only slightly less visible than that of a constant input. We also compute the changes in somatic input conductance of 2 morphologically identified pyramidal cells from cat visual cortex during activity of a single inhibitory basket cell with known synaptic input locations. We find that the increase in conductance due to the activity of the inhibitory basket cells is clearly visible from the cell body of the pyramidal cells and that a 70% reduction in the amplitude of excitation is associated with at least a 30% increase in somatic input conductance, which would be visible in intracellular recordings. Taken together with the negative experimental evidence of Douglas et al. (1988), our results cast doubt on a large class of models of direction selectivity that rely on synaptically mediated inhibitory conductance increases to veto or block excitatory conductances increases.

Mesh:

Year:  1990        PMID: 2355247      PMCID: PMC6570295     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  26 in total

1.  Estimating the location and time course of synaptic input from multi-site potential recordings.

Authors:  Steven J Cox
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

2.  Neuronal integration of synaptic input in the fluctuation-driven regime.

Authors:  Alexandre Kuhn; Ad Aertsen; Stefan Rotter
Journal:  J Neurosci       Date:  2004-03-10       Impact factor: 6.167

Review 3.  Direction selectivity in the retina: symmetry and asymmetry in structure and function.

Authors:  David I Vaney; Benjamin Sivyer; W Rowland Taylor
Journal:  Nat Rev Neurosci       Date:  2012-02-08       Impact factor: 34.870

4.  Robustness of sensory-evoked excitation is increased by inhibitory inputs to distal apical tuft dendrites.

Authors:  Robert Egger; Arno C Schmitt; Damian J Wallace; Bert Sakmann; Marcel Oberlaender; Jason N D Kerr
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-28       Impact factor: 11.205

5.  h-Channels Contribute to Divergent Intrinsic Membrane Properties of Supragranular Pyramidal Neurons in Human versus Mouse Cerebral Cortex.

Authors:  Brian E Kalmbach; Anatoly Buchin; Brian Long; Jennie Close; Anirban Nandi; Jeremy A Miller; Trygve E Bakken; Rebecca D Hodge; Peter Chong; Rebecca de Frates; Kael Dai; Zoe Maltzer; Philip R Nicovich; C Dirk Keene; Daniel L Silbergeld; Ryder P Gwinn; Charles Cobbs; Andrew L Ko; Jeffrey G Ojemann; Christof Koch; Costas A Anastassiou; Ed S Lein; Jonathan T Ting
Journal:  Neuron       Date:  2018-11-01       Impact factor: 17.173

6.  Encoding and decoding of dendritic excitation during active states in pyramidal neurons.

Authors:  Stephen R Williams
Journal:  J Neurosci       Date:  2005-06-22       Impact factor: 6.167

7.  Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study.

Authors:  Stephanie R Jones; Dominique L Pritchett; Steven M Stufflebeam; Matti Hämäläinen; Christopher I Moore
Journal:  J Neurosci       Date:  2007-10-03       Impact factor: 6.167

8.  Mechanisms of inhibition in cat visual cortex.

Authors:  N J Berman; R J Douglas; K A Martin; D Whitteridge
Journal:  J Physiol       Date:  1991       Impact factor: 5.182

9.  An intracellular analysis of the visual responses of neurones in cat visual cortex.

Authors:  R J Douglas; K A Martin; D Whitteridge
Journal:  J Physiol       Date:  1991       Impact factor: 5.182

10.  Photostimulation using caged glutamate reveals functional circuitry in living brain slices.

Authors:  E M Callaway; L C Katz
Journal:  Proc Natl Acad Sci U S A       Date:  1993-08-15       Impact factor: 11.205

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