@article {6490, title = {Activity dynamics and behavioral correlates of CA3 and CA1 hippocampal pyramidal neurons.}, journal = {Hippocampus}, volume = {22}, year = {2012}, month = {2012 Aug}, pages = {1659-80}, abstract = {

The CA3 and CA1 pyramidal neurons are the major principal cell types of the hippocampus proper. The strongly recurrent collateral system of CA3 cells and the largely parallel-organized CA1 neurons suggest that these regions perform distinct computations. However, a comprehensive comparison between CA1 and CA3 pyramidal cells in terms of firing properties, network dynamics, and behavioral correlations is sparse in the intact animal. We performed large-scale recordings in the dorsal hippocampus of rats to quantify the similarities and differences between CA1 (n \> 3,600) and CA3 (n \> 2,200) pyramidal cells during sleep and exploration in multiple environments. CA1 and CA3 neurons differed significantly in firing rates, spike burst propensity, spike entrainment by the theta rhythm, and other aspects of spiking dynamics in a brain state-dependent manner. A smaller proportion of CA3 than CA1 cells displayed prominent place fields, but place fields of CA3 neurons were more compact, more stable, and carried more spatial information per spike than those of CA1 pyramidal cells. Several other features of the two cell types were specific to the testing environment. CA3 neurons showed less pronounced phase precession and a weaker position versus spike-phase relationship than CA1 cells. Our findings suggest that these distinct activity dynamics of CA1 and CA3 pyramidal cells support their distinct computational roles.

}, keywords = {Action Potentials, Animal, Animals, Behavior, CA1 Region, CA3 Region, Electroencephalography, Hippocampal, Long-Evans, Male, Maze Learning, Nonparametric, Pyramidal Cells, Rats, Statistics, Theta Rhythm}, issn = {1098-1063}, doi = {10.1002/hipo.22002}, author = {Mizuseki, Kenji and Royer, S{\'e}bastien and Diba, Kamran and Buzs{\'a}ki, Gy{\"o}rgy} } @article {2342, title = {Temporal delays among place cells determine the frequency of population theta oscillations in the hippocampus.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {107}, year = {2010}, month = {2010 Apr 27}, pages = {7957-62}, abstract = {

Driven either by external landmarks or by internal dynamics, hippocampal neurons form sequences of cell assemblies. The coordinated firing of these active cells is organized by the prominent "theta" oscillations in the local field potential (LFP): place cells discharge at progressively earlier theta phases as the rat crosses the respective place field ("phase precession"). The faster oscillation frequency of active neurons and the slower theta LFP, underlying phase precession, creates a paradox. How can faster oscillating neurons comprise a slower population oscillation, as reflected by the LFP? We built a mathematical model that allowed us to calculate the population activity analytically from experimentally derived parameters of the single neuron oscillation frequency, firing field size (duration), and the relationship between within-theta delays of place cell pairs and their distance representations ("compression"). The appropriate combination of these parameters generated a constant frequency population rhythm along the septo-temporal axis of the hippocampus, while allowing individual neurons to vary their oscillation frequency and field size. Our results suggest that the faster-than-theta oscillations of pyramidal cells are inherent and that phase precession is a result of the coordinated activity of temporally shifted cell assemblies, relative to the population activity, reflected by the LFP.

}, keywords = {Action Potentials, Animals, Hippocampus, Locomotion, Models, Neurological, Pyramidal Cells, Rats, Theta Rhythm}, issn = {1091-6490}, doi = {10.1523/JNEUROSCI.3773-10.2011}, author = {Geisler, Caroline and Diba, Kamran and Pastalkova, Eva and Mizuseki, Kenji and Royer, S{\'e}bastien and Buzs{\'a}ki, Gy{\"o}rgy} } @article {2343, title = {Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop.}, journal = {Neuron}, volume = {64}, year = {2009}, month = {2009 Oct 29}, pages = {267-80}, abstract = {

Theta oscillations are believed to play an important role in the coordination of neuronal firing in the entorhinal (EC)-hippocampal system but the underlying mechanisms are not known. We simultaneously recorded from neurons in multiple regions of the EC-hippocampal loop and examined their temporal relationships. Theta-coordinated synchronous spiking of EC neuronal populations predicted the timing of current sinks in target layers in the hippocampus. However, the temporal delays between population activities in successive anatomical stages were longer (typically by a half theta cycle) than expected from axon conduction velocities and passive synaptic integration of feed-forward excitatory inputs. We hypothesize that the temporal windows set by the theta cycles allow for local circuit interactions and thus a considerable degree of computational independence in subdivisions of the EC-hippocampal loop.

}, keywords = {Action Potentials, Animals, Electric Stimulation, Entorhinal Cortex, Hippocampus, Long-Evans, Long-Term Potentiation, Male, Models, Movement, Nerve Net, Neural Inhibition, Neural Pathways, Neurological, Neurons, Patch-Clamp Techniques, Rats, Reaction Time, Synaptic Transmission, Theta Rhythm}, issn = {1097-4199}, doi = {10.1523/JNEUROSCI.3773-10.2011}, author = {Mizuseki, Kenji and Sirota, Anton and Pastalkova, Eva and Buzs{\'a}ki, Gy{\"o}rgy} } @article {2346, title = {Theta-mediated dynamics of spatial information in hippocampus.}, journal = {The Journal of Neuroscience: The Official Journal of the Society for Neuroscience}, volume = {28}, year = {2008}, month = {2008 Jun 4}, pages = {5959-64}, abstract = {

In rodent hippocampus, neuronal activity is organized by a 6-10 Hz theta oscillation. The spike timing of hippocampal pyramidal cells with respect to the theta rhythm correlates with an animal{\textquoteright}s position in space. This correlation has been suggested to indicate an explicit temporal code for position. Alternatively, it may be interpreted as a byproduct of theta-dependent dynamics of spatial information flow in hippocampus. Here we show that place cell activity on different phases of theta reflects positions shifted into the future or past along the animal{\textquoteright}s trajectory in a two-dimensional environment. The phases encoding future and past positions are consistent across recorded CA1 place cells, indicating a coherent representation at the network level. Consistent theta-dependent time offsets are not simply a consequence of phase-position correlation (phase precession), because they are no longer seen after data randomization that preserves the phase-position relationship. The scale of these time offsets, 100-300 ms, is similar to the latencies of hippocampal activity after sensory input and before motor output, suggesting that offset activity may maintain coherent brain activity in the face of information processing delays.

}, keywords = {Action Potentials, Animals, Hippocampus, Long-Evans, Male, Rats, Spatial Behavior, Theta Rhythm}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3773-10.2011}, author = {Itskov, Vladimir and Pastalkova, Eva and Mizuseki, Kenji and Buzs{\'a}ki, Gy{\"o}rgy and Harris, Kenneth D} }