We study two methods of data analysis which are common tools for the analysis of neuronal data. In particular, we examine how causal interactions between brain regions can be investigated using time series reflecting the neural activity in these regions. Furthermore, we analyze a method used to study the neural code that evaluates the discrimination of the responses of single neurons elicited by different stimuli. This discrimination analysis is based on the quantification of the similarity of the spike trains with time scale parametric spike train distances. In each case we describe the methods used for the analysis of the neuronal data and we characterize their specificity using simulated or exemplary experimental data. Taking into accoun...
This work examines an information theoretic quantity known as directed information, which measures ...
This dissertation deals with modeling and analysis of multi-neuronal spike train data. Brain tissue ...
Statistical dependency between neuronal spike trains forms a basis for information encoding in memor...
We study two methods of data analysis which are common tools for the analysis of neuronal data. In p...
Assessing directional influences between neurons is instrumental to understand how brain circuits pr...
Time scale parametric spike train distances like the Victor and the van Rossum distances/nare often ...
Time scale parametric spike train distances like the Victor and the van Rossum distances/nare often ...
Simultaneous recordings of spike trains from multiple single neurons are becoming commonplace. Und...
Simultaneous recordings of spike trains from multiple single neurons are becoming commonplace. Und...
We consider the information transmission problem in neurons and its possible implications for learni...
Simultaneous recordings of spike trains from multiple single neurons are becoming commonplace. Under...
The analysis of massively parallel spike train recordings facilitates investigation of communication...
The analysis of massively parallel spike train recordings facilitates investigation of communication...
Sensory stimuli are received by sensory neurons and information about these stimuli is further trans...
2014-03-03Model‐based approaches to electrophysiological signal processing provide low‐variance esti...
This work examines an information theoretic quantity known as directed information, which measures ...
This dissertation deals with modeling and analysis of multi-neuronal spike train data. Brain tissue ...
Statistical dependency between neuronal spike trains forms a basis for information encoding in memor...
We study two methods of data analysis which are common tools for the analysis of neuronal data. In p...
Assessing directional influences between neurons is instrumental to understand how brain circuits pr...
Time scale parametric spike train distances like the Victor and the van Rossum distances/nare often ...
Time scale parametric spike train distances like the Victor and the van Rossum distances/nare often ...
Simultaneous recordings of spike trains from multiple single neurons are becoming commonplace. Und...
Simultaneous recordings of spike trains from multiple single neurons are becoming commonplace. Und...
We consider the information transmission problem in neurons and its possible implications for learni...
Simultaneous recordings of spike trains from multiple single neurons are becoming commonplace. Under...
The analysis of massively parallel spike train recordings facilitates investigation of communication...
The analysis of massively parallel spike train recordings facilitates investigation of communication...
Sensory stimuli are received by sensory neurons and information about these stimuli is further trans...
2014-03-03Model‐based approaches to electrophysiological signal processing provide low‐variance esti...
This work examines an information theoretic quantity known as directed information, which measures ...
This dissertation deals with modeling and analysis of multi-neuronal spike train data. Brain tissue ...
Statistical dependency between neuronal spike trains forms a basis for information encoding in memor...