@article {49276,
	title = {A novel pyramidal cell type promotes sharp-wave synchronization in the hippocampus.},
	journal = {Nature Neuroscience},
	volume = {21},
	year = {2018},
	month = {2018 Jun 18},
	pages = {985-95},
	abstract = {<p>To support cognitive function, the CA3 region of the hippocampus performs computations involving attractor dynamics. Understanding how cellular and ensemble activities of CA3 neurons enable computation is critical for elucidating the neural correlates of cognition. Here we show that CA3 comprises not only classically described pyramid cells with thorny excrescences, but also includes previously unidentified {\textquoteright}athorny{\textquoteright} pyramid cells that lack mossy-fiber input. Moreover, the two neuron types have distinct morphological and physiological phenotypes and are differentially modulated by acetylcholine. To understand the contribution of these athorny pyramid neurons to circuit function, we measured cell-type-specific firing patterns during sharp-wave synchronization events in vivo and recapitulated these dynamics with an attractor network model comprising two principal cell types. Our data and simulations reveal a key role for athorny cell bursting in the initiation of sharp waves: transient network attractor states that signify the execution of pattern completion computations vital to cognitive function.</p>
},
	issn = {1546-1726},
	doi = {10.1038/s41593-018-0172-7},
	author = {Hunt, David L and Linaro, Daniele and Si, Bailu and Romani, Sandro and Spruston, Nelson}
}
@article {46286,
	title = {Continuous attractor network model for conjunctive position-by-velocity tuning of grid cells.},
	journal = {PLoS Computational Biology},
	volume = {10},
	year = {2014},
	month = {2014 Apr 17},
	pages = {e1003558},
	abstract = {<p>The spatial responses of many of the cells recorded in layer II of rodent medial entorhinal cortex (MEC) show a triangular grid pattern, which appears to provide an accurate population code for animal spatial position. In layer III, V and VI of the rat MEC, grid cells are also selective to head-direction and are modulated by the speed of the animal. Several putative mechanisms of grid-like maps were proposed, including attractor network dynamics, interactions with theta oscillations or single-unit mechanisms such as firing rate adaptation. In this paper, we present a new attractor network model that accounts for the conjunctive position-by-velocity selectivity of grid cells. Our network model is able to perform robust path integration even when the recurrent connections are subject to random perturbations.</p>
},
	keywords = {Animals, Models, Theoretical, Movement, Rodentia},
	issn = {1553-7358},
	doi = {10.1371/journal.pcbi.1003558},
	author = {Si, Bailu and Romani, Sandro and Tsodyks, Misha}
}
