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Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory

Nature neuroscience, 2014-03, Vol.17 (3), p.431-439

2014

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Synchronization from second order network connectivity statistics

Frontiers in computational neuroscience, 2011, Vol.5, p.28-28

2011

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The influence of depolarization block on seizure-like activity in networks of excitatory and inhibitory neurons

Journal of computational neuroscience, 2017-08, Vol.43 (1), p.65-79

2017

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Dynamics of a network of excitatory and inhibitory neurons induced by depolarization block

BMC neuroscience, 2014-07, Vol.15 (S1), p.P76-P76, Article P76

2014

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The influence of network structure on neuronal network dynamics

BMC neuroscience, 2012-07, Vol.13 (S1), p.P79-P79, Article P79

Nykamp, Duane Q

2012

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A mathematical framework for inferring connectivity in probabilistic neuronal networks

Mathematical biosciences, 2007-02, Vol.205 (2), p.204-251

Nykamp, Duane Q.

2007

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Persistent Sodium Currents in Mesencephalic V Neurons Participate in Burst Generation and Control of Membrane Excitability

Journal of neurophysiology, 2005-05, Vol.93 (5), p.2710-2722

2005

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Permitted Sets and Convex Coding in Nonthreshold Linear Networks

Neural computation, 2022-08, Vol.34 (9), p.1978-2008

2022

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Directed functional connectivity matures with motor learning in a cortical pattern generator

Journal of neurophysiology, 2013-02, Vol.109 (4), p.913-923

2013

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Searching for optimal stimuli: ascending a neuron’s response function

Journal of computational neuroscience, 2012-12, Vol.33 (3), p.449-473

2012

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Mean-field equations for neuronal networks with arbitrary degree distributions

Physical review. E, 2017-04, Vol.95 (4-1), p.042323-042323, Article 042323

2017

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The influence of network topology on synchrony and oscillations in networks of spiking neurons

BMC neuroscience, 2011-07, Vol.12 (S1), p.P44-P44, Article P44

2011

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A stimulus-dependent connectivity analysis of neuronal networks

Journal of mathematical biology, 2009-08, Vol.59 (2), p.147-173

Nykamp, Duane Q.

2009

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Toward a second order description of neuronal networks

BMC neuroscience, 2009-07, Vol.10 (S1), p.P168-P168, Article P168

Nykamp, Duane Q

2009

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A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning

Journal of computational neuroscience, 2000-01, Vol.8 (1), p.19-50

2000

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Exploiting History-Dependent Effects to Infer Network Connectivity

SIAM journal on applied mathematics, 2007-01, Vol.68 (2), p.354-391

Nykamp, Duane Q.

2007

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A Fokker-Planck neuronal network model to capture mean firing rate and pair-wise correlations in large-scale neuronal networks

BMC neuroscience, 2010-07, Vol.11 (S1), p.P50-P50, Article P50

2010

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Revealing Pairwise Coupling in Linear-Nonlinear Networks

SIAM journal on applied mathematics, 2005-01, Vol.65 (6), p.2005-2032

Nykamp, Duane Q.

2005

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A kinetic theory network model to capture first and second order statistics of population activity in large-scale neuronal networks

BMC neuroscience, 2009-07, Vol.10 (S1), p.P154-P154, Article P154

2009

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Network reconstruction in the presence of unmeasured neurons

BMC neuroscience, 2007-07, Vol.8 (S2), p.P20-P20, Article P20

Nykamp, Duane Q

2007

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Computing linear approximations to nonlinear neuronal responses

BMC neuroscience, 2008-07, Vol.9 (S1), p.P118-P118, Article P118

2008

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Capturing correlation structure within a simplified population density framework

BMC neuroscience, 2008-07, Vol.9 (S1), p.P7-P7, Article P7

2008

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A kinetic theory approach to capturing interneuronal correlation: the feed-forward case

Journal of computational neuroscience, 2009-06, Vol.26 (3), p.339-368

2009

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Network structure predicted by second order motifs

BMC neuroscience, 2010-07, Vol.11 (S1), p.P43-P43, Article P43

2010

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A population density framework that captures interneuronal correlations

BMC neuroscience, 2007-07, Vol.8 (S2), p.P25-P25, Article P25

2007

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Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory

Synchronization from second order network connectivity statistics

The influence of depolarization block on seizure-like activity in networks of excitatory and inhibitory neurons

Dynamics of a network of excitatory and inhibitory neurons induced by depolarization block

The influence of network structure on neuronal network dynamics

A mathematical framework for inferring connectivity in probabilistic neuronal networks

Persistent Sodium Currents in Mesencephalic V Neurons Participate in Burst Generation and Control of Membrane Excitability

Permitted Sets and Convex Coding in Nonthreshold Linear Networks

Directed functional connectivity matures with motor learning in a cortical pattern generator

Searching for optimal stimuli: ascending a neuron’s response function

Mean-field equations for neuronal networks with arbitrary degree distributions

The influence of network topology on synchrony and oscillations in networks of spiking neurons

A stimulus-dependent connectivity analysis of neuronal networks

Toward a second order description of neuronal networks

A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning

Exploiting History-Dependent Effects to Infer Network Connectivity

A Fokker-Planck neuronal network model to capture mean firing rate and pair-wise correlations in large-scale neuronal networks

Revealing Pairwise Coupling in Linear-Nonlinear Networks

A kinetic theory network model to capture first and second order statistics of population activity in large-scale neuronal networks

Network reconstruction in the presence of unmeasured neurons

Computing linear approximations to nonlinear neuronal responses

Capturing correlation structure within a simplified population density framework

A kinetic theory approach to capturing interneuronal correlation: the feed-forward case

Network structure predicted by second order motifs

A population density framework that captures interneuronal correlations

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