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Facilitating the propagation of spiking activity in feedforward networks by including feedback

PLoS computational biology, 2020-08, Vol.16 (8), p.e1008033-e1008033

2020

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Introducing Computation to Neuroscience: Selected Papers of George Gerstein

1, 2022

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Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity

Scientific reports, 2016-05, Vol.6 (1), p.26029-26029, Article 26029

2016

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Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus

The Journal of neuroscience, 2020-01, Vol.40 (1), p.159-170

2020

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Spontaneous Necker-cube reversals may not be that spontaneous

Frontiers in human neuroscience, 2023-05, Vol.17, p.1179081-1179081

2023

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Real-life speech production and perception have a shared premotor-cortical substrate

Scientific reports, 2018-06, Vol.8 (1), p.8898-14, Article 8898

2018

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Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code

Biological cybernetics, 2021-04, Vol.115 (2), p.161-176

2021

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Insights into hippocampal network function

Nature Computational Science, 2021-12, Vol.1 (12), p.782-783

Aertsen, Ad

2021

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The role of ECoG magnitude and phase in decoding position, velocity, and acceleration during continuous motor behavior

Frontiers in neuroscience, 2013-01, Vol.7, p.200-200

2013

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Brain Theory: Biological Basis and Computational Principles

1, 1996

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Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro

Neurocomputing (Amsterdam), 2007-06, Vol.70 (10), p.1717-1722

2007

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The impact of structural embeddedness of neurons on network dynamics

BMC neuroscience, 2011-07, Vol.12 (S1), p.P183-P183, Article P183

2011

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Uncorrelated inputs enhance signal representation in the inhibitory striatum network

BMC neuroscience, 2011-07, Vol.12 (S1), p.P182-P182, Article P182

2011

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Structural Models of Cortical Networks with Long-Range Connectivity

Mathematical Problems in Engineering, 2012-01, Vol.2012, p.1-17

2012

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Shaping corticostriatal connectivity with STDP

BMC neuroscience, 2011-07, Vol.12 (S1), p.P181-P181, Article P181

2011

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Dynamical emergence of fear and extinction cells in the amygdala – a computational model

BMC neuroscience, 2009-07, Vol.10 (S1), p.P142-P142, Article P142

2009

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The computational role of the feedforward inhibition in the striatum network

BMC neuroscience, 2009-07, Vol.10 (S1), p.P163-P163, Article P163

2009

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Role of Input Correlations in Shaping the Variability and Noise Correlations of Evoked Activity in the Neocortex

The Journal of neuroscience, 2015-06, Vol.35 (22), p.8611-8625

2015

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On the propagation of firing rate and synchrony in a model of cortical network

BMC neuroscience, 2008-07, Vol.9 (S1), p.P6-P6, Article P6

2008

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Review of the BCI Competition IV

Frontiers in neuroscience, 2012-01, Vol.6, p.55-55

2012

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Precisely timed signal transmission in neocortical networks with reliable intermediate-range projections

Frontiers in neural circuits, 2009-02, Vol.3, p.1-1

2009

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Spectral Analysis of Local Field Potentials from Rat Primary Visual Cortex (V1)

Frontiers in computational neuroscience, 2012, Vol.6

Ad, Aertsen

2012

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Existence and Control of Go/No-Go Decision Transition Threshold in the Striatum: e1004233

PLoS computational biology, 2015-04, Vol.11 (4)

2015

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Minimal set of nodes to control the dynamics of biological neuronal networks

BMC neuroscience, 2015-12, Vol.16 (S1), p.P135-P135, Article P135

2015

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Dynamics of non-linear cortico-cortical interactions during motion integration in early visual cortex: a spiking neural network model of an optical imaging study in the awake monkey

BMC neuroscience, 2009-07, Vol.10 (S1), p.P176-P176, Article P176

2009

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Facilitating the propagation of spiking activity in feedforward networks by including feedback

Introducing Computation to Neuroscience: Selected Papers of George Gerstein

Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity

Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus

Spontaneous Necker-cube reversals may not be that spontaneous

Real-life speech production and perception have a shared premotor-cortical substrate

Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code

Insights into hippocampal network function

The role of ECoG magnitude and phase in decoding position, velocity, and acceleration during continuous motor behavior

Brain Theory: Biological Basis and Computational Principles

Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro

The impact of structural embeddedness of neurons on network dynamics

Uncorrelated inputs enhance signal representation in the inhibitory striatum network

Structural Models of Cortical Networks with Long-Range Connectivity

Shaping corticostriatal connectivity with STDP

Dynamical emergence of fear and extinction cells in the amygdala – a computational model

The computational role of the feedforward inhibition in the striatum network

Role of Input Correlations in Shaping the Variability and Noise Correlations of Evoked Activity in the Neocortex

On the propagation of firing rate and synchrony in a model of cortical network

Review of the BCI Competition IV

Precisely timed signal transmission in neocortical networks with reliable intermediate-range projections

Spectral Analysis of Local Field Potentials from Rat Primary Visual Cortex (V1)

Existence and Control of Go/No-Go Decision Transition Threshold in the Striatum: e1004233

Minimal set of nodes to control the dynamics of biological neuronal networks

Dynamics of non-linear cortico-cortical interactions during motion integration in early visual cortex: a spiking neural network model of an optical imaging study in the awake monkey

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