Results 41 to 50 of about 75,067 (283)
Effects of direct current stimulation on synaptic plasticity in a single neuron
Brain Stimulation, 2021 Background: Transcranial direct current stimulation (DCS) has lasting effects that may be explained by a boost in synaptic long-term potentiation (LTP). We hypothesized that this boost is the result of a modulation of somatic spiking in the postsynaptic ...
Forouzan Farahani +4 more
doaj +1 more source
Identification of linear and nonlinear sensory processing circuits from spiking neuron data [PDF]
, 2018 Inferring mathematical models of sensory processing systems directly from input-output observations, while making the fewest assumptions about the model equations and the types of measurements available, is still a major issue in computational ...
Billings S. A. +17 more
core +1 more source
A compact aVLSI conductance-based silicon neuron
, 2015 We present an analogue Very Large Scale Integration (aVLSI) implementation that uses first-order lowpass filters to implement a conductance-based silicon neuron for high-speed neuromorphic systems.
Hamilton, Tara Julia +4 more
core +1 more source
Diversity of intrinsic frequency encoding patterns in rat cortical neurons : mechanisms and possible functions [PDF]
, 2010 Extracellular recordings of single neurons in primary and secondary somatosensory cortices of monkeys in vivo have shown that their firing rate can increase, decrease, or remain constant in different cells, as the external stimulus frequency increases ...
Jenkins, N +4 more
core +1 more source
Bayesian population decoding of spiking neurons [PDF]
Frontiers in Computational Neuroscience, 2009 The timing of action potentials in spiking neurons depends on the temporal dynamics of their inputs and contains information about temporal fluctuations in the stimulus. Leaky integrate-and-fire neurons constitute a popular class of encoding models, in which spike times depend directly on the temporal structure of the inputs.
Gerwinn, S., Macke, J., Bethge, M.
openaire +5 more sources
Thermal Impact on Spiking Properties in Hodgkin-Huxley Neuron with Synaptic Stimulus
, 2007 The effect of environmental temperature on neuronal spiking behaviors is investigated by numerically simulating the temperature dependence of spiking threshold of the Hodgkin-Huxley neuron subject to synaptic stimulus.
A. F. Huxley +28 more
core +2 more sources
Modeling Interference-Free Neuron Spikes with Optogenetic Stimulation [PDF]
, 2019 This paper predicts the ability to externally control the firing times of a cortical neuron whose behavior follows the Izhikevich neuron model. The Izhikevich neuron model provides an efficient and biologically plausible method to track a cortical neuron'
Eckford, Andrew W. +3 more
core +2 more sources
Fitting Neuron Models to Spike Trains [PDF]
Frontiers in Neuroscience, 2011 Computational modeling is increasingly used to understand the function of neural circuits in systems neuroscience. These studies require models of individual neurons with realistic input-output properties. Recently, it was found that spiking models can accurately predict the precisely timed spike trains produced by cortical neurons in response to ...
Cyrille eRossant +10 more
openaire +5 more sources
, 2011 A simple threshold model of neuron firing (with the neuron membrane electrochemical potential governed by the chaotic Rossler attractor) has been analyzed by mapping the generated irregular spiking time-series into telegraph signals.
Bershadskii, A., Ikegaya, Y.
core +1 more source
Simulating Spiking Neural P systems without delays using GPUs [PDF]
, 2011 We present in this paper our work regarding simulating a type of P system known as a spiking neural P system (SNP system) using graphics processing units (GPUs). GPUs, because of their architectural optimization for parallel computations, are well-suited
Adorna, Henry +2 more
core +5 more sources