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Reconstructing neuronal circuitry from parallel spike trains

Nature communications, 2019-10, Vol.10 (1), p.4468-13, Article 4468

2019

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Stable propagation of synchronous spiking in cortical neural networks

Nature (London), 1999-12, Vol.402 (6761), p.529-533

1999

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Towards guiding principles in workflow design to facilitate collaborative projects involving massively parallel electrophysiological data

BMC neuroscience, 2011-07, Vol.12 (S1), p.P131-P131, Article P131

2011

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Towards a unified theory of correlations in recurrent neural networks

BMC neuroscience, 2011-07, Vol.12 (S1), p.P73-P73, Article P73

2011

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Fail-safe detection of threshold crossings of linear integrate-and-fire neuron models in time-driven simulations

BMC neuroscience, 2011-07, Vol.12 (S1), p.P229-P229, Article P229

2011

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Macaque structural connectivity revisited: CoCoMac 2.0

BMC neuroscience, 2011-07, Vol.12 (S1), p.P72-P72, Article P72

2011

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Layer dependent neural modulation of a realistic layered-microcircuit model in visual cortex based on bottom-up and top-down signals

BMC neuroscience, 2011-07, Vol.12 (S1), p.P114-P114, Article P114

2011

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Correlation transmission of spiking neurons is boosted by synchronous input

BMC neuroscience, 2011-07, Vol.12 (S1), p.P144-P144, Article P144

2011

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Neurons hear their echo

BMC neuroscience, 2010-07, Vol.11 (S1), p.1-P47, Article P47

2010

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Random wiring limits the development of functional structure in large recurrent neuronal networks

BMC neuroscience, 2010-07, Vol.11 (S1), p.P108-P108, Article P108

2010

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Implications of the specific cortical circuitry for the network dynamics of a layered cortical network model

BMC neuroscience, 2009-07, Vol.10 (S1), p.P159-P159, Article P159

2009

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From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations

BMC neuroscience, 2013-07, Vol.14 (S1), p.P163-P163, Article P163

2013

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Phase locking between excess spike synchrony and LFP is independent of rate covariation

BMC neuroscience, 2010-07, Vol.11 (S1), p.1-P4, Article P4

2010

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High storage capacity of synfire chains in large-scale cortical networks of conductance-based spiking neurons

BMC neuroscience, 2010-07, Vol.11 (S1), p.1-F1, Article F1

2010

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Decorrelation of low-frequency neural activity by inhibitory feedback

BMC neuroscience, 2010-07, Vol.11 (S1), p.1-O11, Article O11

2010

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A spiking temporal-difference learning model based on dopamine-modulated plasticity

BMC neuroscience, 2009-07, Vol.10 (S1), p.P140-P140, Article P140

2009

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Bifurcation analysis of synchronization dynamics in cortical feed-forward networks in novel coordinates

BMC neuroscience, 2009-07, Vol.10 (S1), p.P256-P256, Article P256

2009

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Finite synaptic potentials cause a non-linear instantaneous response of the integrate-and-fire model

BMC neuroscience, 2009-07, Vol.10 (S1), p.P225-P225, Article P225

2009

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How local is the local field potential?

BMC neuroscience, 2011-07, Vol.12 (S1), p.O8-O8, Article O8

2011

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Selecting appropriate surrogate methods for spike correlation analysis

BMC neuroscience, 2010-07, Vol.11 (S1), p.O15-O15, Article O15

2010

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Estimating the contribution of assembly activity to cortical dynamics from spike and population measures

BMC neuroscience, 2009-07, Vol.10 (S1), p.P231-P231, Article P231

2009

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An accretion based data mining algorithm for identification of sets of correlated neurons

BMC neuroscience, 2009-07, Vol.10 (S1), p.P254-P254, Article P254

2009

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Integration of anatomical and physiological connectivity data sets for layered cortical network models

BMC neuroscience, 2008-07, Vol.9 (S1), p.P60-P60, Article P60

2008

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Theory of neuronal spike densities for synchronous activity in cortical feed-forward networks

BMC neuroscience, 2008-07, Vol.9 (S1), p.P143-P143, Article P143

2008

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Effective connectivity analysis explains metastable states of ongoing activity in cortically embedded systems of coupled synfire chains

BMC neuroscience, 2015-12, Vol.16 (198), p.P61-P61, Article P61

2015

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Reconstructing neuronal circuitry from parallel spike trains

Stable propagation of synchronous spiking in cortical neural networks

Towards guiding principles in workflow design to facilitate collaborative projects involving massively parallel electrophysiological data

Towards a unified theory of correlations in recurrent neural networks

Fail-safe detection of threshold crossings of linear integrate-and-fire neuron models in time-driven simulations

Macaque structural connectivity revisited: CoCoMac 2.0

Layer dependent neural modulation of a realistic layered-microcircuit model in visual cortex based on bottom-up and top-down signals

Correlation transmission of spiking neurons is boosted by synchronous input

Neurons hear their echo

Random wiring limits the development of functional structure in large recurrent neuronal networks

Implications of the specific cortical circuitry for the network dynamics of a layered cortical network model

From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations

Phase locking between excess spike synchrony and LFP is independent of rate covariation

High storage capacity of synfire chains in large-scale cortical networks of conductance-based spiking neurons

Decorrelation of low-frequency neural activity by inhibitory feedback

A spiking temporal-difference learning model based on dopamine-modulated plasticity

Bifurcation analysis of synchronization dynamics in cortical feed-forward networks in novel coordinates

Finite synaptic potentials cause a non-linear instantaneous response of the integrate-and-fire model

How local is the local field potential?

Selecting appropriate surrogate methods for spike correlation analysis

Estimating the contribution of assembly activity to cortical dynamics from spike and population measures

An accretion based data mining algorithm for identification of sets of correlated neurons

Integration of anatomical and physiological connectivity data sets for layered cortical network models

Theory of neuronal spike densities for synchronous activity in cortical feed-forward networks

Effective connectivity analysis explains metastable states of ongoing activity in cortically embedded systems of coupled synfire chains

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