The what, where and how of delay activity
KK Sreenivasan, M D'Esposito - Nature reviews neuroscience, 2019 - nature.com
Working memory is characterized by neural activity that persists during the retention interval
of delay tasks. Despite the ubiquity of this delay activity across tasks, species and …
of delay tasks. Despite the ubiquity of this delay activity across tasks, species and …
Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience
Neuron modeling may be said to have originated with the Hodgkin and Huxley action
potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over …
potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over …
NetPyNE, a tool for data-driven multiscale modeling of brain circuits
Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing
and disparate experimental datasets at multiple scales. The NetPyNE tool (www. netpyne …
and disparate experimental datasets at multiple scales. The NetPyNE tool (www. netpyne …
Mitochondria-associated membranes (MAMs): A potential therapeutic target for treating Alzheimer's disease
W Yu, H Jin, Y Huang - Clinical Science, 2021 - portlandpress.com
Abstract Alzheimer's disease (AD), a progressive neurodegenerative disorder, is a leading
global health concern for individuals and society. However, the potential mechanisms …
global health concern for individuals and society. However, the potential mechanisms …
Genetic variants in Alzheimer disease—molecular and brain network approaches
Genetic studies in late-onset Alzheimer disease (LOAD) are aimed at identifying core
disease mechanisms and providing potential biomarkers and drug candidates to improve …
disease mechanisms and providing potential biomarkers and drug candidates to improve …
Reproducibility in computational neuroscience models and simulations
RA McDougal, AS Bulanova… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Objective: Like all scientific research, computational neuroscience research must be
reproducible. Big data science, including simulation research, cannot depend exclusively on …
reproducible. Big data science, including simulation research, cannot depend exclusively on …
Excitatory and inhibitory effects of HCN channel modulation on excitability of layer V pyramidal cells
T Mäki-Marttunen, V Mäki-Marttunen - PLoS Computational …, 2022 - journals.plos.org
Dendrites of cortical pyramidal cells are densely populated by hyperpolarization-activated
cyclic nucleotide-gated (HCN) channels, aka I h channels. I h channels are targeted by …
cyclic nucleotide-gated (HCN) channels, aka I h channels. I h channels are targeted by …
Multiscale modeling in the clinic: diseases of the brain and nervous system
Computational neuroscience is a field that traces its origins to the efforts of Hodgkin and
Huxley, who pioneered quantitative analysis of electrical activity in the nervous system …
Huxley, who pioneered quantitative analysis of electrical activity in the nervous system …
A unified computational model for cortical post-synaptic plasticity
Signalling pathways leading to post-synaptic plasticity have been examined in many types
of experimental studies, but a unified picture on how multiple biochemical pathways …
of experimental studies, but a unified picture on how multiple biochemical pathways …
An uncommon neuronal class conveys visual signals from rods and cones to retinal ganglion cells
BK Young, C Ramakrishnan… - Proceedings of the …, 2021 - National Acad Sciences
Neurons in the central nervous system (CNS) are distinguished by the neurotransmitter
types they release, their synaptic connections, morphology, and genetic profiles. To fully …
types they release, their synaptic connections, morphology, and genetic profiles. To fully …