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Featured researches published by Jm Guest.


Proceedings of the National Academy of Sciences of the United States of America | 2013

Cellular organization of cortical barrel columns is whisker-specific

Hanno S. Meyer; Robert Egger; Jm Guest; Rita Foerster; Stefan Reissl; Marcel Oberlaender

Significance Cortical columns are thought to be the elementary functional building blocks of sensory cortices. Here we show that the cellular architecture of cortical “barrel” columns in rodent somatosensory cortex is not stereotypic, but specific for each whisker on the animals’ snout. Our findings challenge the concepts underlying contemporary simulation efforts that build up large-scale network models of repeatedly occurring identical cortical circuits. The cellular organization of the cortex is of fundamental importance for elucidating the structural principles that underlie its functions. It has been suggested that reconstructing the structure and synaptic wiring of the elementary functional building block of mammalian cortices, the cortical column, might suffice to reverse engineer and simulate the functions of entire cortices. In the vibrissal area of rodent somatosensory cortex, whisker-related “barrel” columns have been referred to as potential cytoarchitectonic equivalents of functional cortical columns. Here, we investigated the structural stereotypy of cortical barrel columns by measuring the 3D neuronal composition of the entire vibrissal area in rat somatosensory cortex and thalamus. We found that the number of neurons per cortical barrel column and thalamic “barreloid” varied substantially within individual animals, increasing by ∼2.5-fold from dorsal to ventral whiskers. As a result, the ratio between whisker-specific thalamic and cortical neurons was remarkably constant. Thus, we hypothesize that the cellular architecture of sensory cortices reflects the degree of similarity in sensory input and not columnar and/or cortical uniformity principles.


Nature Communications | 2017

Relationships between structure, in vivo function and long-range axonal target of cortical pyramidal tract neurons

Gerardo Rojas-Piloni; Jm Guest; Robert Egger; A Johnson; Bert Sakmann; Marcel Oberlaender

Pyramidal tract neurons (PTs) represent the major output cell type of the neocortex. To investigate principles of how the results of cortical processing are broadcasted to different downstream targets thus requires experimental approaches, which provide access to the in vivo electrophysiology of PTs, whose subcortical target regions are identified. On the example of rat barrel cortex (vS1), we illustrate that retrograde tracer injections into multiple subcortical structures allow identifying the long-range axonal targets of individual in vivo recorded PTs. Here we report that soma depth and dendritic path lengths within each cortical layer of vS1, as well as spiking patterns during both periods of ongoing activity and during sensory stimulation, reflect the respective subcortical target regions of PTs. We show that these cellular properties result in a structure–function parameter space that allows predicting a PT’s subcortical target region, without the need to inject multiple retrograde tracers.The major output cell type of the neocortex – pyramidal tract neurons (PTs) – send axonal projections to various subcortical areas. Here the authors combined in vivo recordings, retrograde tracings, and reconstructions of PTs in rat somatosensory cortex to show that PT structure and activity can predict specific subcortical targets.


Neuroscience | 2018

3D reconstruction and standardization of the rat facial nucleus for precise mapping of vibrissal motor networks

Jm Guest; Mythreya M. Seetharama; Elizabeth S. Wendel; Peter L. Strick; Marcel Oberlaender

Highlights • Digital model of the rat facial nucleus anatomy.• Precise registration of structural data – obtained across animals – into a digital facial nucleus reference frame.• 3D reconstruction and registration of vibrissal motoneurons with identified target muscle.• Quantification of morphological cell-to-cell variably within a population of motoneurons that innervate the same muscle.• Mapping the presynaptic populations of reconstructed vibrissal motoneurons, whose target muscle is known.


Brain Structure & Function | 2015

An anterograde rabies virus vector for high-resolution large-scale reconstruction of 3D neuron morphology

Matthias Georg Haberl; Sílvia Silva; Jm Guest; Melanie Ginger; Alexander Ghanem; Christophe Mulle; Marcel Oberlaender; Karl-Klaus Conzelmann; Andreas Frick


11th FENS Forum of Neuroscience | 2018

Reconstruction of the synaptic and cell type specific brain-wide organization of neuronal networks

M Seetharama; Jm Guest; P Hyoungjun; T Wendlandt; Peter L. Strick; Marcel Oberlaender


46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016) | 2016

Relationships between sensory-evoked synaptic input and long-range target-related spiking output of cortical layer 5

Marcel Oberlaender; Robert Egger; Gerardo Rojas-Piloni; Rajeevan T. Narayanan; Jm Guest; Cpj De Kock; Daniel Udvary


Archive | 2015

Deconstruction of sensory stimuli in L5 of rat barrel cortex via parallel long-range pathways to disjoint subcortical targets

G Rojas-Pilon; Jm Guest; Robert Egger; A Johnson; Marcel Oberlaender


16th Conference of Junior Neuroscientists of Tübingen (NeNa 2015): Communicating the Challenges of Science | 2015

Inhibitory Transfer of Thalamocortical Input in a Column of Rat Vibrissal Cortex

Daniel Udvary; R-S Meyer; Robert Egger; Jm Guest; Dirk Feldmeyer; Marcel Oberlaender


44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014) | 2014

Axonal IN types in rat's barrel cortex

Daniel Udvary; Robert Egger; Jm Guest; Moritz Helmstaedter; Bert Sakmann; Dirk Feldmeyer; Marcel Oberlaender


44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014) | 2014

Structural basis of sensory-motor control

Jm Guest; Robert Egger; Gerardo Rojas-Piloni; Peter L. Strick; Bert Sakmann; Marcel Oberlaender

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Gerardo Rojas-Piloni

National Autonomous University of Mexico

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