User profiles for J. A. Crodelle
Jennifer CrodelleMiddlebury College Verified email at middlebury.edu Cited by 145 |
The modulation of pain by circadian and sleep-dependent processes: a review of the experimental evidence
MH Hagenauer, JA Crodelle, SH Piltz… - Women in Mathematical …, 2017 - Springer
This proceedings paper is the first in a series of three papers developing mathematical
models for the complex relationship between pain and the sleep–wake cycle. Here, we briefly …
models for the complex relationship between pain and the sleep–wake cycle. Here, we briefly …
Investigating circadian rhythmicity in pain sensitivity using a neural circuit model for spinal cord processing of pain
JA Crodelle, SH Piltz, V Booth… - Women in Mathematical …, 2017 - Springer
Primary processing of painful stimulation occurs in the dorsal horn of the spinal cord. In this
article, we introduce mathematical models of the neural circuitry in the dorsal horn …
article, we introduce mathematical models of the neural circuitry in the dorsal horn …
[BOOK][B] The role of electrotonic junctions between pyramidal cells in the cortex
JA Crodelle - 2017 - search.proquest.com
Synchronized neuronal activity has been shown to contribute to cognitive processes such
as learning, attention, and memory formation. Electric coupling through sites called gap …
as learning, attention, and memory formation. Electric coupling through sites called gap …
[HTML][HTML] Modeling the daily rhythm of human pain processing in the dorsal horn
J Crodelle, SH Piltz, MH Hagenauer… - PLOS Computational …, 2019 - journals.plos.org
Experimental studies show that human pain sensitivity varies across the 24-hour day, with
the lowest sensitivity usually occurring during the afternoon. Patients suffering from …
the lowest sensitivity usually occurring during the afternoon. Patients suffering from …
[HTML][HTML] A computational model for pain processing in the dorsal horn following axonal damage to receptor fibers
J Crodelle, PD Maia - Brain Sciences, 2021 - mdpi.com
… In this study, we use the model introduced by Crodelle et al. [12,13] as a platform to numerically
simulate the population activity of projection, inhibitory, and excitatory neurons in the DH …
simulate the population activity of projection, inhibitory, and excitatory neurons in the DH …
[HTML][HTML] Modeling homeostatic and circadian modulation of human pain sensitivity
J Crodelle, C Vanty, V Booth - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Mathematical modeling has played a significant role in understanding how
homeostatic sleep pressure and the circadian rhythm interact to influence sleep-wake behavior. …
homeostatic sleep pressure and the circadian rhythm interact to influence sleep-wake behavior. …
[HTML][HTML] Modeling the role of gap junctions between excitatory neurons in the developing visual cortex
J Crodelle, DW McLaughlin - PLoS computational biology, 2021 - journals.plos.org
Recent experiments in the developing mammalian visual cortex have revealed that gap
junctions couple excitatory cells and potentially influence the formation of chemical synapses. In …
junctions couple excitatory cells and potentially influence the formation of chemical synapses. In …
A computational investigation of electrotonic coupling between pyramidal cells in the cortex
The existence of electrical communication among pyramidal cells (PCs) in the adult cortex
has been debated by neuroscientists for several decades. Gap junctions (GJs) among cortical …
has been debated by neuroscientists for several decades. Gap junctions (GJs) among cortical …
Idealized model of the developing visual cortex
J Crodelle, DW McLaughlin - bioRxiv, 2020 - biorxiv.org
Recent experiments in the developing mammalian visual cortex have revealed that gap
junctions couple excitatory cells and potentially influence the formation of chemical synapses. …
junctions couple excitatory cells and potentially influence the formation of chemical synapses. …
A Combined Offline–Online Algorithm for Hodgkin–Huxley Neural Networks
ZK Tian, J Crodelle, D Zhou - Journal of Scientific Computing, 2020 - Springer
Spiking neural networks are widely applied to simulate cortical dynamics in the brain and
are regarded as the next generation of machine learning. The classical Hodgkin–Huxley (HH) …
are regarded as the next generation of machine learning. The classical Hodgkin–Huxley (HH) …