title: Integration of synchronous synaptic input in CA1 pyramidal neuron depends on spatial and temporal distributions of the input.
abstract: Highly synchronized neural firing has been discussed in relation to learning and memory, for instance sharp-wave activity in hippocampus. We were interested to study how a postsynaptic CA1 pyramidal neuron would integrate input of different levels of synchronicity. In previous work using computational modeling we studied how the integration depends on dendritic conductances. We found that the transient A-type potassium channel K(A) was able to selectively suppress input of high synchronicity. In recent years, compartmentalization of dendritic integration has been shown. We were therefore interested to study the influence of localization and pattern of synaptic input over the dendritic tree of the CA1 pyramidal neuron. We find that the selective suppression increases when synaptic inputs are placed on oblique dendrites further out from the soma. The suppression also increases along the radial axis from the apical trunk out to the end of oblique dendrites. We also find that the K(A) channel suppresses the occurrence of dendritic spikes. Moreover, recent studies have shown interaction between synaptic inputs. We therefore studied the influence of apical tuft input on the integration studied above. We find that excitatory input provides a modulatory influence reducing the capacity of K(A) to suppress synchronized activity, thus facilitating the excitatory drive of oblique dendritic input. Conversely, inhibitory tuft input increases the suppression by K(A) providing a larger control of oblique depolarizing factors on the CA1 pyramidal neuron in terms of what constitutes the most effective level of synchronicity. Furthermore, we show that the selective suppression studied above depends on the conductance of the K(A) channel. K(A) , as several other potassium channels, is modulated by several neuromodulators, for instance acetylcholine and dopamine, both of which have been discussed in relation to learning and memory. We suggest that dendritic conductances and their modulatory systems may be part of the regulation of processing of information, in particular for how network synchronicity affects learning and memory.
authors.affiliation: Department of Computational Biology, School of Computer Science and Communication, KTH Royal Institute of Technology, SE-106 91 Stockholm, Sweden. tige@kth.se
authors.forename: Jenny
authors.initials: J
authors.lastname: Tigerholm
authors.forename: Michele
authors.initials: M
authors.lastname: Migliore
authors.forename: Erik
authors.initials: E
authors.lastname: Fransén
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D056547:CA1 Region, Hippocampal / Q000166:cytology / Q000502:physiology*; D003198:Computer Simulation; D003712:Dendrites / Q000502:physiology*; D019706:Excitatory Postsynaptic Potentials / Q000502:physiology; D006801:Humans; D008564:Membrane Potentials / Q000502:physiology; D008959:Models, Neurological; D019580:Perforant Pathway / Q000166:cytology / Q000502:physiology; D015221:Potassium Channels / Q000502:physiology; D017966:Pyramidal Cells / Q000502:physiology* / Q000648:ultrastructure; D015222:Sodium Channels / Q000502:physiology; D013569:Synapses / Q000502:physiology*; D013997:Time Factors
chemical_list: D015221:Potassium Channels; D015222:Sodium Channels