@article{12862,
  abstract     = {Despite the considerable progress of in vivo neural recording techniques, inferring the biophysical mechanisms underlying large scale coordination of brain activity from neural data remains challenging. One obstacle is the difficulty to link high dimensional functional connectivity measures to mechanistic models of network activity. We address this issue by investigating spike-field coupling (SFC) measurements, which quantify the synchronization between, on the one hand, the action potentials produced by neurons, and on the other hand mesoscopic “field” signals, reflecting subthreshold activities at possibly multiple recording sites. As the number of recording sites gets large, the amount of pairwise SFC measurements becomes overwhelmingly challenging to interpret. We develop Generalized Phase Locking Analysis (GPLA) as an interpretable dimensionality reduction of this multivariate SFC. GPLA describes the dominant coupling between field activity and neural ensembles across space and frequencies. We show that GPLA features are biophysically interpretable when used in conjunction with appropriate network models, such that we can identify the influence of underlying circuit properties on these features. We demonstrate the statistical benefits and interpretability of this approach in various computational models and Utah array recordings. The results suggest that GPLA, used jointly with biophysical modeling, can help uncover the contribution of recurrent microcircuits to the spatio-temporal dynamics observed in multi-channel experimental recordings.},
  author       = {Safavi, Shervin and Panagiotaropoulos, Theofanis I. and Kapoor, Vishal and Ramirez Villegas, Juan F and Logothetis, Nikos K. and Besserve, Michel},
  issn         = {1553-7358},
  journal      = {PLoS Computational Biology},
  number       = {4},
  publisher    = {Public Library of Science},
  title        = {{Uncovering the organization of neural circuits with Generalized Phase Locking Analysis}},
  doi          = {10.1371/journal.pcbi.1010983},
  volume       = {19},
  year         = {2023},
}

@article{12149,
  abstract     = {Editorial on the Research Topic},
  author       = {Gambino, Giuditta and Bhik-Ghanie, Rebecca and Giglia, Giuseppe and Puig, M. Victoria and Ramirez Villegas, Juan F and Zaldivar, Daniel},
  issn         = {1662-5110},
  journal      = {Frontiers in Neural Circuits},
  keywords     = {Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Neuroscience (miscellaneous)},
  publisher    = {Frontiers Media},
  title        = {{Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels}},
  doi          = {10.3389/fncir.2022.1028154},
  volume       = {16},
  year         = {2022},
}

@article{8818,
  abstract     = {The hippocampus has a major role in encoding and consolidating long-term memories, and undergoes plastic changes during sleep1. These changes require precise homeostatic control by subcortical neuromodulatory structures2. The underlying mechanisms of this phenomenon, however, remain unknown. Here, using multi-structure recordings in macaque monkeys, we show that the brainstem transiently modulates hippocampal network events through phasic pontine waves known as pontogeniculooccipital waves (PGO waves). Two physiologically distinct types of PGO wave appear to occur sequentially, selectively influencing high-frequency ripples and low-frequency theta events, respectively. The two types of PGO wave are associated with opposite hippocampal spike-field coupling, prompting periods of high neural synchrony of neural populations during periods of ripple and theta instances. The coupling between PGO waves and ripples, classically associated with distinct sleep stages, supports the notion that a global coordination mechanism of hippocampal sleep dynamics by cholinergic pontine transients may promote systems and synaptic memory consolidation as well as synaptic homeostasis.},
  author       = {Ramirez Villegas, Juan F and Besserve, Michel and Murayama, Yusuke and Evrard, Henry C. and Oeltermann, Axel and Logothetis, Nikos K.},
  issn         = {14764687},
  journal      = {Nature},
  number       = {7840},
  pages        = {96--102},
  publisher    = {Springer Nature},
  title        = {{Coupling of hippocampal theta and ripples with pontogeniculooccipital waves}},
  doi          = {10.1038/s41586-020-2914-4},
  volume       = {589},
  year         = {2021},
}