6533b81ffe1ef96bd1277b3e
RESEARCH PRODUCT
Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations
Elena CidManuel ValeroLiset Menendez De La PridaAndrea Navas-oliveRobert G. AverkinTeresa Jurado-parrasAdán De Salas-quirogaAdán De Salas-quirogaGiuditta GambinoGiuditta Gambinosubject
0301 basic medicineMaleneural circuits.Patch-Clamp TechniquesGeneral Physics and AstronomyAction PotentialsHippocampal formationCell morphologySettore BIO/09 - Fisiologia0302 clinical medicineTheta Rhythmlcsh:ScienceBiophysical modelPhysicsNeurons0303 health sciencesComputational modelMultidisciplinaryBiología molecularPyramidal CellsQDynamics (mechanics)Theta oscillationsFemaleAlgorithmsScienceNeurocienciasModels NeurologicalPhase (waves)Mice TransgenicNeural circuitsGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciencesGlutamatergicMemory taskAnimalsComputer SimulationRats WistarCA1 Region Hippocampal030304 developmental biologyGeneral ChemistryMice Inbred C57BLKinetics030104 developmental biologySynapseslcsh:QNeuroscience030217 neurology & neurosurgeryBiophysical modelsdescription
Theta oscillations play a major role in temporarily defining the hippocampal rate code by translating behavioral sequences into neuronal representations. However, mechanisms constraining phase timing and cell-type-specific phase preference are unknown. Here, we employ computational models tuned with evolutionary algorithms to evaluate phase preference of individual CA1 pyramidal cells recorded in mice and rats not engaged in any particular memory task. We applied unbiased and hypothesis-free approaches to identify effects of intrinsic and synaptic factors, as well as cell morphology, in determining phase preference. We found that perisomatic inhibition delivered by complementary populations of basket cells interacts with input pathways to shape phase-locked specificity of deep and superficial pyramidal cells. Somatodendritic integration of fluctuating glutamatergic inputs defined cycle-by-cycle by unsupervised methods demonstrated that firing selection is tuneable across sublayers. Our data identify different mechanisms of phase-locking selectivity that are instrumental for flexible dynamical representations of theta sequences.
year | journal | country | edition | language |
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2020-05-01 |