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Delay selection by spike-timing-dependent plasticity in recurrent networks of spiking neurons receiving oscillatory inputs

PLoS computational biology, 2013-02, Vol.9 (2), p.e1002897-e1002897

2013

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Coexistence of reward and unsupervised learning during the operant conditioning of neural firing rates

PloS one, 2014-01, Vol.9 (1), p.e87123-e87123

2014

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Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways

Biological cybernetics, 2009-08, Vol.101 (2), p.81-102

2009

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Optimum ramp design in open pit mines

Computers & operations research, 2020-03, Vol.115, p.104739, Article 104739

2020

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Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking

Biological cybernetics, 2009-08, Vol.101 (2), p.103-114

2009

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Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence

Biological cybernetics, 2010-11, Vol.103 (5), p.365-386

2010

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A model for open-pit pushback design with operational constraints

Optimization and engineering, 2023, Vol.24 (1), p.623-639

2023

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Goal-directed control with cortical units that are gated by both top-down feedback and oscillatory coherence

Frontiers in neural circuits, 2014-08, Vol.8, p.94-94

2014

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On the history of the Euclidean Steiner tree problem

Archive for history of exact sciences, 2014-05, Vol.68 (3), p.327-354

2014

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A mathematical model for mineable pushback designs

International journal of mining, reclamation and environment, 2021-08, Vol.35 (7), p.523-539

2021

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Minimum Steiner trees on a set of concyclic points and their center

International transactions in operational research, 2022-07, Vol.29 (4), p.2201-2225

2022

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Solving the prize‐collecting Euclidean Steiner tree problem

International transactions in operational research, 2022-05, Vol.29 (3), p.1479-1501

2022

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Curvature-constrained directional-cost paths in the plane

Journal of global optimization, 2012-08, Vol.53 (4), p.663-681

2012

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Optimal curvature and gradient-constrained directional cost paths in 3-space

Journal of global optimization, 2015-07, Vol.62 (3), p.507-527

2015

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Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: Structuring synaptic pathways among recurrent connections

Biological cybernetics, 2009-12, Vol.101 (5-6), p.427-444

2009

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A flow-dependent quadratic steiner tree problem in the Euclidean plane

Networks, 2014-08, Vol.64 (1), p.18-28

2014

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STDP encodes oscillation frequencies in the connections of recurrent networks of spiking neurons

BMC neuroscience, 2012-07, Vol.13 (S1), p.P130-P130, Article P130

2012

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Optimal curvature-constrained paths for general directional-cost functions

Optimization and engineering, 2013-09, Vol.14 (3), p.395-416

2013

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The representation of input correlation structure from multiple pools in the synaptic weights by STDP

BMC neuroscience, 2010-07, Vol.11 (S1), p.1-P191, Article P191

2010

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Representation of input structure in synaptic weights by spike-timing-dependent plasticity

Physical review. E, Statistical, nonlinear, and soft matter physics, 2010-08, Vol.82 (2 Pt 1), p.021912-021912, Article 021912

2010

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Spike-timing-dependent plasticity in a recurrently connected neuronal network with spontaneous oscillations

BMC neuroscience, 2009-07, Vol.10 (S1), p.P212-P212, Article P212

2009

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Interplay between spike-timing-dependent plasticity and neuronal correlations gives rise to network structure

BMC neuroscience, 2009-07, Vol.10 (S1), p.P200-P200, Article P200

2009

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Symmetry breaking induced by Spike-Timing-Dependent Plasticity in the presence of recurrent connections

BMC neuroscience, 2008-07, Vol.9 (S1), p.O14-O14, Article O14

2008

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Network modelling of underground mine layout: two case studies

International transactions in operational research, 2007-03, Vol.14 (2), p.143-158

2007

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Cost Optimisation for Underground Mining Networks

Optimization and engineering, 2005-06, Vol.6 (2), p.241-256

2005

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Delay selection by spike-timing-dependent plasticity in recurrent networks of spiking neurons receiving oscillatory inputs

Coexistence of reward and unsupervised learning during the operant conditioning of neural firing rates

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways

Optimum ramp design in open pit mines

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence

A model for open-pit pushback design with operational constraints

Goal-directed control with cortical units that are gated by both top-down feedback and oscillatory coherence

On the history of the Euclidean Steiner tree problem

A mathematical model for mineable pushback designs

Minimum Steiner trees on a set of concyclic points and their center

Solving the prize‐collecting Euclidean Steiner tree problem

Curvature-constrained directional-cost paths in the plane

Optimal curvature and gradient-constrained directional cost paths in 3-space

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: Structuring synaptic pathways among recurrent connections

A flow-dependent quadratic steiner tree problem in the Euclidean plane

STDP encodes oscillation frequencies in the connections of recurrent networks of spiking neurons

Optimal curvature-constrained paths for general directional-cost functions

The representation of input correlation structure from multiple pools in the synaptic weights by STDP

Representation of input structure in synaptic weights by spike-timing-dependent plasticity

Spike-timing-dependent plasticity in a recurrently connected neuronal network with spontaneous oscillations

Interplay between spike-timing-dependent plasticity and neuronal correlations gives rise to network structure

Symmetry breaking induced by Spike-Timing-Dependent Plasticity in the presence of recurrent connections

Network modelling of underground mine layout: two case studies

Cost Optimisation for Underground Mining Networks

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