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Interior Resistance

Journal of interior design, 2021-03, Vol.46 (1), p.11-25

2021

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Support vector regression to estimate the permeability enhancement of potential transdermal enhancers

Journal of pharmacy and pharmacology, 2016-02, Vol.68 (2), p.170-184

2016

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MOVEMENTS AND SURVIVAL OF LARK BUNTING FLEDGLINGS

The Condor (Los Angeles, Calif.), 2001-08, Vol.103 (3), p.643-647

2001

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The application of Gaussian processes in the prediction of percutaneous absorption

Journal of pharmacy and pharmacology, 2009-09, Vol.61 (9), p.1147-1153

2009

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The effect of dendritic morphology on pattern recognition in the presence of active conductances

BMC neuroscience, 2011-07, Vol.12 (S1), p.P315-P315, Article P315

2011

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Non-specific LTD at parallel fibre - Purkinje cell synapses in cerebellar cortex provides robustness against local spatial noise during pattern recognition

BMC neuroscience, 2011-07, Vol.12 (S1), p.P314-P314, Article P314

2011

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The effect of non-specific LTD on pattern recognition in cerebellar Purkinje cells

BMC neuroscience, 2010-07, Vol.11 (S1), p.1-P118, Article P118

2010

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Determinants of pattern recognition by cerebellar Purkinje cells

BMC neuroscience, 2008-07, Vol.9 (S1), p.P67-P67, Article P67

2008

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Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise

Scientific reports, 2017-04, Vol.7 (1), p.46550-46550, Article 46550

2017

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High capacity associative memories and connection constraints

Connection science, 2004-03, Vol.16 (1), p.47-65

2004

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Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances

Journal of computational neuroscience, 2015-04, Vol.38 (2), p.221-234

2015

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Characterising the performance of balanced memory networks

BMC neuroscience, 2013-07, Vol.14 (S1), p.P88-P88, Article P88

2013

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Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes

BMC neuroscience, 2012-07, Vol.13 (S1), p.P156-P156, Article P156

2012

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The assumption of radon-induced cancer risk

Cancer causes & control, 2015-10, Vol.26 (10), p.1517-1518

2015

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Optimization of input parameters to a CN neuron model to simulate its activity during and between epileptic absence seizures

BMC neuroscience, 2015-12, Vol.16 (51), p.P280-P280, Article P280

2015

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The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes

Journal of pharmacy and pharmacology, 2011-11, Vol.63 (11), p.1411-1427

2011

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Using a genetic algorithm to investigate efficient connectivity in associative memories

Neurocomputing (Amsterdam), 2009, Vol.72 (4), p.732-742

2009

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The application of Gaussian processes in the prediction of percutaneous absorption

Journal of pharmacy and pharmacology, 2009-09, Vol.61 (9), p.1147-1153

2009

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The application of feature selection to the development of Gaussian process models for percutaneous absorption

Journal of pharmacy and pharmacology, 2010-06, Vol.62 (6), p.738-749

2010

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STD-Dependent and Independent Encoding of Input Irregularity as Spike Rate in a Computational Model of a Cerebellar Nucleus Neuron

Cerebellum (London, England), 2011-12, Vol.10 (4), p.667-682

2011

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A potential role for the cerebellar nuclei in absence seizures

BMC neuroscience, 2013-07, Vol.14 (S1), p.P170-P170, Article P170

2013

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Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity

BioSystems, 2008-10, Vol.94 (1), p.87-94

2008

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Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei during absence epilepsy

BMC neuroscience, 2014-07, Vol.15 (S1), p.P39-P39, Article P39

2014

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Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons

BMC neuroscience, 2009-07, Vol.10 (S1), p.P105-P105, Article P105

2009

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Using pre & post-processing methods to improve binding site predictions

Pattern recognition, 2009-09, Vol.42 (9), p.1949-1958

2009

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Interior Resistance

Support vector regression to estimate the permeability enhancement of potential transdermal enhancers

MOVEMENTS AND SURVIVAL OF LARK BUNTING FLEDGLINGS

The application of Gaussian processes in the prediction of percutaneous absorption

The effect of dendritic morphology on pattern recognition in the presence of active conductances

Non-specific LTD at parallel fibre - Purkinje cell synapses in cerebellar cortex provides robustness against local spatial noise during pattern recognition

The effect of non-specific LTD on pattern recognition in cerebellar Purkinje cells

Determinants of pattern recognition by cerebellar Purkinje cells

Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise

High capacity associative memories and connection constraints

Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances

Characterising the performance of balanced memory networks

Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes

The assumption of radon-induced cancer risk

Optimization of input parameters to a CN neuron model to simulate its activity during and between epileptic absence seizures

The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes

Using a genetic algorithm to investigate efficient connectivity in associative memories

The application of Gaussian processes in the prediction of percutaneous absorption

The application of feature selection to the development of Gaussian process models for percutaneous absorption

STD-Dependent and Independent Encoding of Input Irregularity as Spike Rate in a Computational Model of a Cerebellar Nucleus Neuron

A potential role for the cerebellar nuclei in absence seizures

Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity

Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei during absence epilepsy

Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons

Using pre & post-processing methods to improve binding site predictions

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