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Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation

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Statistical structure of neural spiking under non-Poissonian stimulation

Tilo Schwalger

Can we understand the interspike interval (ISI) statistics of spontaneous neural activity? What is the relation between input and output statistics of a neuron? --> Important for understanding population activity. Most theoretical studies assume that neuro ...

2014

Coding Schemes and Asymptotic Capacity for the Gaussian Broadcast and Interference Channels With Feedback

Michael Christoph Gastpar, Amos Lapidoth

A coding scheme is proposed for the memoryless Gaussian broadcast channel with correlated noises and feedback. For all noise correlations other than ±1, the gap between the sumrate that the scheme achieves and the full-cooperation bound vanishes as the sig ...

Institute of Electrical and Electronics Engineers2014

Patterns of interval correlations in neural oscillators with adaptation

Tilo Schwalger

Neural firing is often subject to negative feedback by adaptation currents. These currents can induce strong correlations among the time intervals between spikes. Here we study analytically the interval correlations of a broad class of noisy neural oscilla ...

Frontiers Research Foundation2013

Time scale analysis of bedload discharge over steep slopes: from intermittency to white noise.

Christophe Ancey, Joris Heyman, François Mettra, Hongbo Ma

Bedload transport remains largely unpredictable in steep slope rivers. Comparing experimental data obtained in a steep slope flume and a stochastic model, we show that bedload discharge statistics strongly depend on the measurement time and spatial scale. ...

2013

Interaural correlation discrimination from diffuse field reference correlations

Christof Faller, Andreas Walther

Just noticeable differences in interaural correlation (rho-jnds) from diffuse sound field reference correlations are obtained. In a three-interval, three-alternative forced-choice procedure, rho-jnds are measured for positive and negative deviations from n ...

Acoustical Soc Amer Amer Inst Physics2013

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Decision-making in an uncertain environment is driven by two major needs: exploring the environment to gather information or exploiting acquired knowledge to maximize reward. The neural processes underlying exploratory decision-making have been mainly stud ...

Elsevier2012

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Multiple measures have been developed to quantify the similarity between two spike trains. These measures have been used for the quantification of the mismatch between neuron models and experiments as well as for the classification of neuronal responses in ...

Massachusetts Institute of Technology Press2011

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models

Joao Emanuel Felipe Gerhard

Statistical models of neural activity are integral to modern neuroscience. Recently interest has grown in modeling the spiking activity of populations of simultaneously recorded neurons to study the effects of correlations and functional connectivity on ne ...

Massachusetts Institute of Technology Press2011

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 ...

2010

Statistical tests for neural population models - The multivariate time rescaling theorem

Joao Emanuel Felipe Gerhard

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 ...

2010