A Fokker-Planck formalism for diffusion with finite increments and absorbing boundaries (2009)
Helias, M., Deger, M., Rotter, S., Diesmann, M.
Gaussian white noise is frequently used to model fluctuations in physical systems. In Fokker-Planck theory, this leads to a vanishing probability density near the absorbing boundary of threshold...
Ó Springer-Verlag 2003 Effect of cross-trial nonstationarity on joint-spike events (2008)
S. Gru N, A. Riehle, M. Diesmann
Abstract. Common to most correlation analysis techniques for neuronal spiking activity are assumptions of stationarity with respect to various parameters. However, experimental data may fail to be...
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M. Bower, ...
Abstract We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently implemented. We...
Ó Springer-Verlag 2003 Effect of cross-trial nonstationarity on joint-spike events (2008)
S. Gru N, A. Riehle, M. Diesmann
Abstract. Common to most correlation analysis techniques for neuronal spiking activity are assumptions of stationarity with respect to various parameters. However, experimental data may fail to be...
plasticity · Modeling · Simulation · Learning (2008)
Abigail Morrison, Markus Diesmann, Wulfram Gerstner, A. Morrison, M. Diesmann, M. Diesmann, ...
Abstract Synaptic plasticity is considered to be the biological substrate of learning and memory. In this document we review phenomenological models of short-term and longterm synaptic plasticity, in...
Advancing the boundaries of high-connectivity network simulation with distributed computing (2005)
Mehring, C, Geisel, T, Diesmann, M
The availability of efficient and reliable simulation tools is one of the mission-critical technologies in the fast-moving field of computational neuroscience. Research indicates that higher brain...
Activity dynamics and propagation of synchronous spiking in locally connected random networks (2003)
Activity dynamics and propagation of synchronous spiking in locally connected random networks (2003)
Random network models have been a popular tool for investigating cortical network dynamics. On the scale of roughly a cubic millimeter of cortex, containing about 100,000 neurons, cortical anatomy...
The ground state of cortical feed-forward networks (2002)
Tetzlaff, T., Geisel, T., Diesmann, M.
The occurrence of spatio-temporal spike patterns in the cortex is explained by models of divergent/convergent feed-forward subnetworks-synfire chains. Their excited mode is characterized by spike...
Unitary events in multiple single-neuron spiking activity: II. Nonstationary data (2002)
In order to detect members of a functional group (cell assembly) in simultaneously recorded neuronal spiking activity, we adopted the widely used operational definition that membership in a common...
Unitary events in multiple single-neuron spiking activity: 1. Detection and significance (2002)
It has been proposed that cortical neurons organize dynamically into functional groups (cell assemblies) by the temporal structure of their joint spiking activity. Here, we describe a novel method to...
The synfire hypothesis states that under appropriate conditions volleys of synchronized spikes (pulse packets) can propagate through the cortical network by traveling along chains of groups of...
Neural dynamics in cortical networks - precision of joint-spiking events (2001)
Diesmann, M, Gewaltig, MO, Grun, S, Rotter, S
Electrophysiological studies of cortical function on the basis of multiple single-neuron recordings reveal neuronal interactions which depend on stimulus context and behavioural events. These...
Cortical synfire-activity: Configuration space and survival probability (2001)
The synfire hypothesis states that under appropriate conditions volleys of synchronized spikes (pulse packets) can propagate through chains of groups of neurons. Here, we present results from network...
Detecting unitary events without discretization of time (1999)
Diesmann, M, Grammont, F, Riehle, A
In earlier studies we developed the 'Unitary Events' analysis (Grun S. Unitary Joint-Events in Multiple-Neuron Spiking Activity: Detection, Significance and Interpretation. Reihe Physik, Band 60....
Phenomenological models of synaptic plasticity based on spike timing
Morrisson, A., Diesmann, M., Gerstner, W.
Synaptic plasticity is considered to be the biological substrate of learning and memory. In this document we review phenomenological models of short-term and long-term synaptic plasticity, in...