Publication
Static and Dynamic Stochastic Analysis of a Temperature-Sensitive VO<sub>2</sub> Spiking Neuron
Related publications (32)
Fluctuations and information filtering in coupled populations of spiking neurons with adaptation
Wulfram Gerstner, Tilo Schwalger, Richard Naud, Moritz Deger
Finite-sized populations of spiking elements are fundamental to brain function but also are used in many areas of physics. Here we present a theory of the dynamics of finite-sized populations of spiking units, based on a quasirenewal description of neurons ...
2014Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
Random networks of integrate-and-fire neurons with strong current-based synapse scan, unlike previously believed, assume stable states of sustained asynchronous and irregular firing, even without external random background or pacemaker neurons. We analyze ...
Frontiers Research Foundation2014Synaptic Computation and Sensory Processing in Neocortical Layer 2/3
Carl Petersen, Sylvain Crochet
Computations in neocortical circuits are predominantly driven by synaptic integration of excitatory glutamatergic and inhibitory GABAergic inputs. New optical, electrophysiological, and genetic methods allow detailed in vivo investigation of the superficia ...
Cell Press2013Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties
Henry Markram, Felix Schürmann, Sean Lewis Hill, Idan Segev
The thick-tufted layer 5b pyramidal cell extends its dendritic tree to all six layers of the mammalian neocortex and serves as a major building block for the cortical column. L5b pyramidal cells have been the subject of extensive experimental and modeling ...
2011Statistical tests for neural population models - The multivariate time rescaling theorem
The coordinated, collective spiking activity of neuronal populations encodes and processes information. One approach towards understanding such population based computation is to fit statistical models to simultaneously recorded spike trains and use these ...
2010Complexity and performance in simple neuron models
Wulfram Gerstner, Richard Naud, Skander Mensi
The ability of simple mathematical models to predict the activity of single neurons is important for computational neuroscience. In neurons, stimulated by a time-dependent current or conductance, we want to predict precisely the timing of spikes and the su ...
2010Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem
Statistical models of neural activity are at the core of the field of modern computational neuroscience. The activity of single neurons has been modeled to successfully explain dependencies of neural dynamics to its own spiking history, to external stimuli ...
2010Re-generative Asymmetrical Multi-level Converter for Multi-Megawatt Variable Speed Drives
This paper is focused on the design, modulation and control of a re-generative non-symmetrical multi-level converter for high-power applications such as oil and gas or mining. The converter is based on standard IGBT modules and the DC-link voltages are cho ...
2010Motor intention in the posterior parietal cortex
The complexity of processes occurring in the brain is an intriguing issue not just for scientists and medical doctors, but the humanity in general. The cortex ability to perceive and analyze an enormous amount of information in an instance of time, the par ...
EPFL2008Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces
Wulfram Gerstner, Carl Petersen, Laurent Badel, Sandrine Lefort, Romain Brette
Neuronal response properties are typically probed by intracellular measurements of current-voltage (I-V) relationships during application of current or voltage steps. Here we demonstrate the measurement of a novel I-V curve measured while the neuron exhibi ...
American Physiological Society2008