@article {70298,
	title = {Deciphering hippocampal place codes in weak theta rhythms.},
	journal = {Nat Commun},
	year = {2026},
	month = {2026 Feb 13},
	abstract = {<p>Local field potentials (LFPs) reflect coordination among neural populations, yet their exact relationship to neural computation remains unknown. One exception is the theta rhythm of the rodent hippocampus, which organizes sequential firing among place cells, enabling spike timing to track the animal{\textquoteright}s path through its environment. But when the animal stops, the theta rhythm becomes irregular, which is assumed to disrupt its ability to carry spatial information. Here we challenge this assumption by developing an artificial neural network that discovers position-tuned theta rhythms (pThetas) from LFPs even in the absence of strong theta oscillations. Using recordings from male rats, we provide evidence that pTheta is distinct from the dominant theta rhythm, while reflecting rhythmic coordination among place cell populations. Our work suggests that weak and intermittent oscillations, as seen in many brain regions and species, can convey information commensurate with population spike codes when decoded using information-based rather than variance-based principles.</p>
},
	issn = {2041-1723},
	doi = {10.1038/s41467-026-69438-5},
	url = {10.1038/s41467-026-69438-5},
	author = {Agarwal, Gautam and Akera, Seiji and Lustig, Brian and Pastalkova, Eva and Lee, Albert K and Sommer, Friedrich T}
}
@article {59912,
	title = {NWB:N 2.0: An accessible data standard for neurophysiology.},
	journal = {bioRxiv},
	year = {2019},
	month = {2019 Jan 17},
	abstract = {<p>Neurodata Without Borders: Neurophysiology (NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. With NWB:N version 2.0 (NWB:N 2.0) we made significant advances towards creating a usable standard, software ecosystem, and vibrant community for standardizing neurophysiology data. In this manuscript we focus in particular on the NWB:N data standard schema and present advances towards creating an accessible data standard for neurophysiology.</p>
},
	doi = {10.1101/523035},
	author = {Rubel, Oliver and Tritt, Andrew and Dichter, Benjamin and Braun, Thomas and Cain, Nicholas and Clack, Nathan G and Davidson, Thomas J and Dougherty, Max and Fillion-Rubin, Jean-Christophe and Graddis, Nile and Grauer, Michael and Kiggins, Justin T and Niu, Lawrence and Ozturk, Doruk and Schroeder, William and Soltesz, Ivan and Sommer, Friedrich T and Svoboda, Karel and Ng, Lydia and et al}
}
