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Lyle J. Graham

Researcher at University of Paris

Publications -  22
Citations -  1092

Lyle J. Graham is an academic researcher from University of Paris. The author has contributed to research in topics: Population & Excitatory postsynaptic potential. The author has an hindex of 11, co-authored 22 publications receiving 1028 citations. Previous affiliations of Lyle J. Graham include Centre national de la recherche scientifique & Paris Descartes University.

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Orientation and Direction Selectivity of Synaptic Inputs in Visual Cortical Neurons: A Diversity of Combinations Produces Spike Tuning

TL;DR: This intracellular study investigates synaptic mechanisms of orientation and direction selectivity in cat area 17 by detecting spike suppression, hyperpolarization, and reduction of trial-to-trial variability of membrane potential and concludes that excitatory and inhibitory inputs share the tuning preference of spiking output.
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Contrasting effects of the persistent Na+ current on neuronal excitability and spike timing.

TL;DR: The persistent Na+ current, INaP, is known to amplify subthreshold oscillations and synaptic potentials, but its impact on action potential generation remains enigmatic, and model simulations demonstrated that I(NaP) increased the relative refractory period and decreased interspike-interval variability under conditions resembling an active network in vivo.
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Complementary Theta Resonance Filtering by Two Spatially Segregated Mechanisms in CA1 Hippocampal Pyramidal Neurons

TL;DR: Using simultaneous whole-cell recordings from soma and apical dendrites from rat CA1 hippocampal pyramidal cells, and biophysically detailed modeling, two complementary resonance (bandpass) filters of subthreshold voltage signals are found that convey voltage-dependent tuning of theta-mediated neural coding in the entorhinal/hippocampal system during locomotion, spatial navigation, memory, and sleep.
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Efficient evaluation of neuron populations receiving colored-noise current based on a refractory density method

TL;DR: The expected firing probability of a stochastic neuron is approximated by a function of the expected subthreshold membrane potential, for the case of colored noise, in order to extend the recently proposed white noise model to conductance-based neurons.
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Spike latency and jitter of neuronal membrane patches with stochastic Hodgkin-Huxley channels.

TL;DR: How stochasticity of ion channels may influence spike timing and thus coding for neurons with functionally localized concentrations of channels, such as in "hot spots" of dendrites, spines or axons is suggested.