The interaction between a recurrent process and another point process generated by the former is considered in the light of a model proposed by ten Hoopen and Reuver. It is shown that the results of ten Hoopen and Reuver can be generalized in a direct manner using the techniques of point processes
The background theory of point processes, spatio-temporal point processes, random measures and rando...
Abstract. In most neural systems, neurons communicate via sequences of action potentials. Contempora...
This thesis examines a multivariate point process in time with focus on a mu- tual relations of its ...
The interaction between a recurrent point process and another point process, generated directly or i...
The mechanism of formation of neuronal spike trains is studied on the basis of some counter models a...
Abstract. We introduce a nonlinear modification of the classical Hawkes process, which allows inhibi...
The mechanism of formation of neuronal spike trains on the basis of selective interaction between tw...
Characterising the neuron spike train firing as a function of external stimulus applied in an experi...
A stochastic model is considered based on selective interaction between two dependent renewal proces...
International audienceThe spike trains are the main components of the information processing in the ...
We consider a non-Markovian random process in the form of spikes train, where the time intervals be...
<p>Neural spike trains, which are sequences of very brief jumps in voltage across the cell membrane,...
A theory is provided to analyze the dynamics of delay-coupled pools of spiking neurons based on stab...
<p><b>A</b>, Schematic overview of the point process generalized linear model (GLM). One model is fi...
We propose a Markov process model for spike-frequency adapting neural en-sembles which synthesizes e...
The background theory of point processes, spatio-temporal point processes, random measures and rando...
Abstract. In most neural systems, neurons communicate via sequences of action potentials. Contempora...
This thesis examines a multivariate point process in time with focus on a mu- tual relations of its ...
The interaction between a recurrent point process and another point process, generated directly or i...
The mechanism of formation of neuronal spike trains is studied on the basis of some counter models a...
Abstract. We introduce a nonlinear modification of the classical Hawkes process, which allows inhibi...
The mechanism of formation of neuronal spike trains on the basis of selective interaction between tw...
Characterising the neuron spike train firing as a function of external stimulus applied in an experi...
A stochastic model is considered based on selective interaction between two dependent renewal proces...
International audienceThe spike trains are the main components of the information processing in the ...
We consider a non-Markovian random process in the form of spikes train, where the time intervals be...
<p>Neural spike trains, which are sequences of very brief jumps in voltage across the cell membrane,...
A theory is provided to analyze the dynamics of delay-coupled pools of spiking neurons based on stab...
<p><b>A</b>, Schematic overview of the point process generalized linear model (GLM). One model is fi...
We propose a Markov process model for spike-frequency adapting neural en-sembles which synthesizes e...
The background theory of point processes, spatio-temporal point processes, random measures and rando...
Abstract. In most neural systems, neurons communicate via sequences of action potentials. Contempora...
This thesis examines a multivariate point process in time with focus on a mu- tual relations of its ...
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