Degeneracy in hippocampal physiology and plasticity
RK Rathour, R Narayanan - Hippocampus, 2019 - Wiley Online Library
Degeneracy, defined as the ability of structurally disparate elements to perform analogous
function, has largely been assessed from the perspective of maintaining robustness of …
function, has largely been assessed from the perspective of maintaining robustness of …
How multiple conductances determine electrophysiological properties in a multicompartment model
Most neurons have large numbers of voltage-and time-dependent currents that contribute to
their electrical firing patterns. Because these currents are nonlinear, it can be difficult to …
their electrical firing patterns. Because these currents are nonlinear, it can be difficult to …
Neuronal morphology enhances robustness to perturbations of channel densities
Biological neurons show significant cell-to-cell variability but have the striking ability to
maintain their key firing properties in the face of unpredictable perturbations and stochastic …
maintain their key firing properties in the face of unpredictable perturbations and stochastic …
Drosophila voltage-gated sodium channels are only expressed in active neurons and are localized to distal axonal initial segment-like domains
TA Ravenscroft, J Janssens, PT Lee… - Journal of …, 2020 - Soc Neuroscience
In multipolar vertebrate neurons, action potentials (APs) initiate close to the soma, at the
axonal initial segment. Invertebrate neurons are typically unipolar with dendrites integrating …
axonal initial segment. Invertebrate neurons are typically unipolar with dendrites integrating …
Signal propagation in Drosophila central neurons
NW Gouwens, RI Wilson - Journal of Neuroscience, 2009 - Soc Neuroscience
Drosophila is an important model organism for investigating neural development, neural
morphology, neurophysiology, and neural correlates of behaviors. However, almost nothing …
morphology, neurophysiology, and neural correlates of behaviors. However, almost nothing …
Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses
Dendrites shape information flow in neurons. Yet, there is little consensus on the level of
spatial complexity at which they operate. Through carefully chosen parameter fits, solvable …
spatial complexity at which they operate. Through carefully chosen parameter fits, solvable …
Analogous synaptic plasticity profiles emerge from disparate channel combinations
A Anirudhan, R Narayanan - Journal of Neuroscience, 2015 - Soc Neuroscience
An open question within the Bienenstock-Cooper-Munro theory for synaptic modification
concerns the specific mechanism that is responsible for regulating the sliding modification …
concerns the specific mechanism that is responsible for regulating the sliding modification …
Inactivating ion channels augment robustness of subthreshold intrinsic response dynamics to parametric variability in hippocampal model neurons
RK Rathour, R Narayanan - The Journal of physiology, 2012 - Wiley Online Library
Key points• Voltage‐gated ion channels (VGICs) play a critical role in determining how
neurons respond to oscillatory inputs at various frequencies. How do inactivating VGICs …
neurons respond to oscillatory inputs at various frequencies. How do inactivating VGICs …
Insights from models of rhythmic motor systems
AA Prinz - Current Opinion in Neurobiology, 2006 - Elsevier
Computational models of rhythmic motor systems are valuable tools for the study of motor
pattern generation and control. Recent modeling advances, together with experimental …
pattern generation and control. Recent modeling advances, together with experimental …
The capabilities and limitations of conductance-based compartmental neuron models with reduced branched or unbranched morphologies and active dendrites
EB Hendrickson, JR Edgerton, D Jaeger - Journal of computational …, 2011 - Springer
Conductance-based neuron models are frequently employed to study the dynamics of
biological neural networks. For speed and ease of use, these models are often reduced in …
biological neural networks. For speed and ease of use, these models are often reduced in …