2015
DOI: 10.1113/jp270688
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Active dendrites mediate stratified gamma‐range coincidence detection in hippocampal model neurons

Abstract: Key pointsr Quantitative metrics for the temporal window of integration/coincidence detection, based on the spike-triggered average, were employed to assess the emergence and dependence of gamma-range coincidence detection in hippocampal pyramidal neurons on various ion channel combinations.r The presence of hyperpolarization-activated cyclic nucleotide-gated (HCN) channels decreased the coincidence detection window (CDW) of the neuronal compartment to the gamma frequency range. Interaction of HCN channels wit… Show more

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Cited by 29 publications
(95 citation statements)
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References 136 publications
(449 reference statements)
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“…Arguments against temporal coding have raised questions about the ability of neurons to perform millisecond‐or‐submillisecond coincidence detection that is essential for decoding a temporal code, about the relevance of precise timing in the face of noise and variability in neuronal responses to identical stimuli and about the ability of neuronal networks to reliably propagate synchronous firing (London et al, ; Panzeri et al, ; Shadlen & Newsome, ; Shadlen & Newsome, ). Counterarguments have relied on the demonstration of millisecond‐or‐submillisecond coincidence detection in active dendritic structures, on the dependence of synchrony propagation on neuronal intrinsic properties and input structure and on the existence of temporally precise cell assemblies that could mitigate the overall background noise in decoding the precise timing of inputs (Buzsaki, ; Buzsaki et al, ; Das & Narayanan, ; Das & Narayanan, ; Diesmann, Gewaltig, & Aertsen, ; Engel et al, ; Engel & Singer, ; Fries et al, ; Golding & Oertel, ; Hong, Ratte, Prescott, & De Schutter, ; Pastalkova, Itskov, Amarasingham, & Buzsaki, ; Reyes, ; Singer et al, ; Softky, ).…”
Section: Degeneracy At Multiple Scales In the Hippocampusmentioning
confidence: 99%
See 2 more Smart Citations
“…Arguments against temporal coding have raised questions about the ability of neurons to perform millisecond‐or‐submillisecond coincidence detection that is essential for decoding a temporal code, about the relevance of precise timing in the face of noise and variability in neuronal responses to identical stimuli and about the ability of neuronal networks to reliably propagate synchronous firing (London et al, ; Panzeri et al, ; Shadlen & Newsome, ; Shadlen & Newsome, ). Counterarguments have relied on the demonstration of millisecond‐or‐submillisecond coincidence detection in active dendritic structures, on the dependence of synchrony propagation on neuronal intrinsic properties and input structure and on the existence of temporally precise cell assemblies that could mitigate the overall background noise in decoding the precise timing of inputs (Buzsaki, ; Buzsaki et al, ; Das & Narayanan, ; Das & Narayanan, ; Diesmann, Gewaltig, & Aertsen, ; Engel et al, ; Engel & Singer, ; Fries et al, ; Golding & Oertel, ; Hong, Ratte, Prescott, & De Schutter, ; Pastalkova, Itskov, Amarasingham, & Buzsaki, ; Reyes, ; Singer et al, ; Softky, ).…”
Section: Degeneracy At Multiple Scales In the Hippocampusmentioning
confidence: 99%
“…In addition, employing electrophysiological recordings and computational models to assess subthreshold resonance and spike triggered average (STA) of model neurons, it has been shown that hippocampal pyramidal neurons are selective to different input features (including spectral features and temporal coincidence of inputs) depending on the dendritic location of their inputs. This location‐dependent feature encoding is mediated by ion channel expression profiles, and could be achieved through disparate combinations of different ion channel expression profiles (Das & Narayanan, ; Das & Narayanan, ; Das & Narayanan, ; Das et al, ; Narayanan & Johnston, ; Narayanan & Johnston, ; Rathour et al, ; Rathour & Narayanan, ; Rathour & Narayanan, ). Given the well‐established strong relationship between STA and types of coding (Ratte, Hong, De Schutter, & Prescott, ), this location‐dependent scenario argues for location‐dependent forms of coding.…”
Section: Degeneracy At Multiple Scales In the Hippocampusmentioning
confidence: 99%
See 1 more Smart Citation
“…16, 2017; relationship between STA and types of coding (Ratte et al, 2013), this location-dependent scenario argues for location-dependent forms of coding. Specifically, the soma and proximal dendrites showing class I STA (integrator) and the distal dendrites manifesting class II STA (coincidence detector) as a consequence of the differential expression of different channels (Das and Narayanan, 2015). Therefore, it seems reasonable to postulate that the proximal and distal regions are respectively geared towards rate and temporal coding, with this location-dependent differential coding strategy extending to cortical and hippocampal neurons Hausser, 2010, 2011;Das and Narayanan, 2015).…”
Section: Degeneracy In Neural Codingmentioning
confidence: 99%
“…Specifically, the soma and proximal dendrites showing class I STA (integrator) and the distal dendrites manifesting class II STA (coincidence detector) as a consequence of the differential expression of different channels (Das and Narayanan, 2015). Therefore, it seems reasonable to postulate that the proximal and distal regions are respectively geared towards rate and temporal coding, with this location-dependent differential coding strategy extending to cortical and hippocampal neurons Hausser, 2010, 2011;Das and Narayanan, 2015). Finally, behaviorally-driven neuromodulatory inputs and activity-dependent plasticity could significantly alter the operating mode and the class of excitability of compartments of a single neuron, and the type of coding employed by a neuron is dependent not just on its operating mode but also the specific characteristics of the input.…”
Section: Degeneracy In Neural Codingmentioning
confidence: 99%