@article {6715, title = {Balanced synaptic impact via distance-dependent synapse distribution and complementary expression of AMPARs and NMDARs in hippocampal dendrites.}, journal = {Neuron}, volume = {80}, year = {2013}, month = {2013 Dec 18}, pages = {1451-63}, abstract = {

Neuronal computation involves the integration of synaptic inputs that are often distributed over expansive dendritic trees, suggesting the need for compensatory mechanisms that enable spatially disparate synapses to influence neuronal output. In hippocampal CA1 pyramidal neurons, such mechanisms have indeed been reported, which normalize either the ability of distributed synapses to drive action potential initiation in the axon or their ability to drive dendritic spiking locally. Here we report that these mechanisms can coexist, through an elegant combination of distance-dependent regulation of synapse number and synaptic expression of AMPA and NMDA receptors. Together, these complementary gradients allow individual dendrites in both the apical and basal dendritic trees of hippocampal neurons to operate as facile computational subunits capable of supporting both global integration in the soma/axon and local integration in the dendrite.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2013.09.027}, author = {Menon, Vilas and Musial, Timothy F and Liu, Annie and Katz, Yael and Kath, William L and Spruston, Nelson and Nicholson, Daniel A} } @article {6784, title = {Synapse distribution suggests a two-stage model of dendritic integration in CA1 pyramidal neurons.}, journal = {Neuron}, volume = {63}, year = {2009}, month = {2009 Jul 30}, pages = {171-7}, abstract = {

Competing models have been proposed to explain how neurons integrate the thousands of inputs distributed throughout their dendritic trees. In a simple global integration model, inputs from all locations sum in the axon. In a two-stage integration model, inputs contribute directly to dendritic spikes, and outputs from multiple branches sum in the axon. These two models yield opposite predictions of how synapses at different dendritic locations should be scaled if they are to contribute equally to neuronal output. We used serial-section electron microscopy to reconstruct individual apical oblique dendritic branches of CA1 pyramidal neurons and observe a synapse distribution consistent with the two-stage integration model. Computational modeling suggests that the observed synapse distribution enhances the contribution of each dendritic branch to neuronal output.

}, keywords = {Animals, Dendrites, Electron, Hippocampus, Humans, Microscopy, Models, Neural Networks (Computer), Neural Pathways, Neurological, Neurons, Synapses}, issn = {1097-4199}, doi = {10.1016/j.neuron.2009.06.023}, author = {Katz, Yael and Menon, Vilas and Nicholson, Daniel A and Geinisman, Yuri and Kath, William L and Spruston, Nelson} } @article {45889, title = {Coincidence detection of place and temporal context in a network model of spiking hippocampal neurons.}, journal = {PLoS Computational Biology}, volume = {3}, year = {2007}, month = {2007 Dec}, pages = {e234}, abstract = {

Recent advances in single-neuron biophysics have enhanced our understanding of information processing on the cellular level, but how the detailed properties of individual neurons give rise to large-scale behavior remains unclear. Here, we present a model of the hippocampal network based on observed biophysical properties of hippocampal and entorhinal cortical neurons. We assembled our model to simulate spatial alternation, a task that requires memory of the previous path through the environment for correct selection of the current path to a reward site. The convergence of inputs from entorhinal cortex and hippocampal region CA3 onto CA1 pyramidal cells make them potentially important for integrating information about place and temporal context on the network level. Our model shows how place and temporal context information might be combined in CA1 pyramidal neurons to give rise to splitter cells, which fire selectively based on a combination of place and temporal context. The model leads to a number of experimentally testable predictions that may lead to a better understanding of the biophysical basis of information processing in the hippocampus.

}, keywords = {Action Potentials, Algorithms, Animals, Computer Simulation, Hippocampus, Models, Neurological, Nerve Net, Neurons, Rats, Synaptic Transmission}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.0030234}, author = {Katz, Yael and Kath, William L and Spruston, Nelson and Hasselmo, Michael E} } @article {45909, title = {Distance-dependent differences in synapse number and AMPA receptor expression in hippocampal CA1 pyramidal neurons.}, journal = {Neuron}, volume = {50}, year = {2006}, month = {2006 May 4}, pages = {431-42}, abstract = {

The ability of synapses throughout the dendritic tree to influence neuronal output is crucial for information processing in the brain. Synaptic potentials attenuate dramatically, however, as they propagate along dendrites toward the soma. To examine whether excitatory axospinous synapses on CA1 pyramidal neurons compensate for their distance from the soma to counteract such dendritic filtering, we evaluated axospinous synapse number and receptor expression in three progressively distal regions: proximal and distal stratum radiatum (SR), and stratum lacunosum-moleculare (SLM). We found that the proportion of perforated synapses increases as a function of distance from the soma and that their AMPAR, but not NMDAR, expression is highest in distal SR and lowest in SLM. Computational models of pyramidal neurons derived from these results suggest that they arise from the compartment-specific use of conductance scaling in SR and dendritic spikes in SLM to minimize the influence of distance on synaptic efficacy.

}, keywords = {Animals, Cell Polarity, Cell Shape, Crosses, Genetic, Dendritic Spines, Excitatory Postsynaptic Potentials, Glutamic Acid, Hippocampus, Image Cytometry, Immunohistochemistry, Male, Microscopy, Electron, Transmission, Perforant Pathway, Presynaptic Terminals, Pyramidal Cells, Rats, Rats, Inbred BN, Rats, Inbred F344, Receptors, AMPA, Synapses, Synaptic Transmission}, issn = {0896-6273}, doi = {10.1016/j.neuron.2006.03.022}, author = {Nicholson, Daniel A and Trana, Rachel and Katz, Yael and Kath, William L and Spruston, Nelson and Geinisman, Yuri} } @article {45924, title = {Factors mediating powerful voltage attenuation along CA1 pyramidal neuron dendrites.}, journal = {J Physiol}, volume = {568}, year = {2005}, month = {2005 Oct 1}, pages = {69-82}, abstract = {

We performed simultaneous patch-electrode recordings from the soma and apical dendrite of CA1 pyramidal neurons in hippocampal slices, in order to determine the degree of voltage attenuation along CA1 dendrites. Fifty per cent attenuation of steady-state somatic voltage changes occurred at a distance of 238 microm from the soma in control and 409 microm after blocking the hyperpolarization-activated (H) conductance. The morphology of three neurons was reconstructed and used to generate computer models, which were adjusted to fit the somatic and dendritic voltage responses. These models identify several factors contributing to the voltage attenuation along CA1 dendrites, including high axial cytoplasmic resistivity, low membrane resistivity, and large H conductance. In most cells the resting membrane conductances, including the H conductances, were larger in the dendrites than the soma. Simulations suggest that synaptic potentials attenuate enormously as they propagate from the dendrite to the soma, with greater than 100-fold attenuation for synapses on many small, distal dendrites. A prediction of this powerful EPSP attenuation is that distal synaptic inputs are likely only to be effective in the presence of conductance scaling, dendritic excitability, or both.

}, keywords = {Animals, Dendrites, Excitatory Postsynaptic Potentials, Hippocampus, In Vitro Techniques, Male, Models, Neurological, Neural Conduction, Patch-Clamp Techniques, Pyramidal Cells, Rats, Rats, Wistar, Synaptic Transmission}, issn = {0022-3751}, doi = {10.1113/jphysiol.2005.086793}, author = {Golding, Nace L and Mickus, Timothy J and Katz, Yael and Kath, William L and Spruston, Nelson} }