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Caitlin K Monaghan

Showing results (1-10 of 10) with videos related to

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Neuroscience|September 12, 2017
Systemic administration of two different anxiolytic drugs decreases local field potential theta frequency in the medial entorhinal cortex without affecting grid cell firing fieldsCaitlin K Monaghan, G William Chapman, Michael E Hasselmo
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 27, 2019
The Firing Rate Speed Code of Entorhinal Speed Cells Differs across Behaviorally Relevant Time Scales and Does Not Depend on Medial Septum InputsHolger Dannenberg, Craig Kelley, Alec Hoyland, et al.
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology|May 21, 2019
A longitudinal study of event related potentials and correlations with psychosocial functioning and clinical features in first episode psychosis patientsCaitlin K Monaghan, Sophie Brickman, Polly Huynh, et al.
Frontiers in Behavioral Neuroscience|June 19, 2012
Cholinergic modulation of cognitive processing: insights drawn from computational modelsEhren L Newman, Kishan Gupta, Jason R Climer, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 20, 2012
Neural correlates of long-term object memory in the mouse anterior cingulate cortexAldis P Weible, David C Rowland, Caitlin K Monaghan, et al.
Neuroscience and Biobehavioral Reviews|September 10, 2017
Reconciling the different faces of hippocampal theta: The role of theta oscillations in cognitive, emotional and innate behaviorsTatiana Korotkova, Alexey Ponomarenko, Caitlin K Monaghan, et al.
Kidney Medicine|February 10, 2025
Home Dialysis Prediction Using Artificial IntelligenceCaitlin K Monaghan, Joanna Willetts, Hao Han, et al.
Frontiers in Nephrology|September 7, 2023
Predicting SARS-CoV-2 infection among hemodialysis patients using multimodal dataJuntao Duan, Hanmo Li, Xiaoran Ma, et al.
BMC Nephrology|October 23, 2022
Predictors of shorter- and longer-term mortality after COVID-19 presentation among dialysis patients: parallel use of machine learning models in Latin and North American countriesAdrián M Guinsburg, Yue Jiao, María Inés Díaz Bessone, et al.
Kidney360|April 4, 2022
Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 InfectionCaitlin K Monaghan, John W Larkin, Sheetal Chaudhuri, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Neuroscience|September 12, 2017
Systemic administration of two different anxiolytic drugs decreases local field potential theta frequency in the medial entorhinal cortex without affecting grid cell firing fieldsCaitlin K Monaghan, G William Chapman, Michael E Hasselmo
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 27, 2019
The Firing Rate Speed Code of Entorhinal Speed Cells Differs across Behaviorally Relevant Time Scales and Does Not Depend on Medial Septum InputsHolger Dannenberg, Craig Kelley, Alec Hoyland, et al.
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology|May 21, 2019
A longitudinal study of event related potentials and correlations with psychosocial functioning and clinical features in first episode psychosis patientsCaitlin K Monaghan, Sophie Brickman, Polly Huynh, et al.
Frontiers in Behavioral Neuroscience|June 19, 2012
Cholinergic modulation of cognitive processing: insights drawn from computational modelsEhren L Newman, Kishan Gupta, Jason R Climer, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 20, 2012
Neural correlates of long-term object memory in the mouse anterior cingulate cortexAldis P Weible, David C Rowland, Caitlin K Monaghan, et al.
Neuroscience and Biobehavioral Reviews|September 10, 2017
Reconciling the different faces of hippocampal theta: The role of theta oscillations in cognitive, emotional and innate behaviorsTatiana Korotkova, Alexey Ponomarenko, Caitlin K Monaghan, et al.
Kidney Medicine|February 10, 2025
Home Dialysis Prediction Using Artificial IntelligenceCaitlin K Monaghan, Joanna Willetts, Hao Han, et al.
Frontiers in Nephrology|September 7, 2023
Predicting SARS-CoV-2 infection among hemodialysis patients using multimodal dataJuntao Duan, Hanmo Li, Xiaoran Ma, et al.
BMC Nephrology|October 23, 2022
Predictors of shorter- and longer-term mortality after COVID-19 presentation among dialysis patients: parallel use of machine learning models in Latin and North American countriesAdrián M Guinsburg, Yue Jiao, María Inés Díaz Bessone, et al.
Kidney360|April 4, 2022
Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 InfectionCaitlin K Monaghan, John W Larkin, Sheetal Chaudhuri, et al.
Pageof 1