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An automatic taxonomy of galaxy morphology using unsupervised machine learning

Monthly notices of the Royal Astronomical Society, 2018-01, Vol.473 (1), p.1108-1129

2018

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Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions

PLoS computational biology, 2021-06, Vol.17 (6), p.e1008996-e1008996

2021

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Cerebellar output controls generalized spike-and-wave discharge occurrence

Annals of neurology, 2015-06, Vol.77 (6), p.1027-1049

2015

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Telling Tales: Digital Storytelling as a Tool for Qualitative Data Interpretation and Communication

International journal of qualitative methods, 2021, Vol.20, p.160940692110225

2021

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OVERCOMING PATENT BARRIERS TO INCREASE ACCESS TO MEDICINES: A NEW PATH FORWARD FOR COMPULSORY LICENSING

Harvard journal of law & technology, 2022-03, Vol.35 (2), p.689

Davey, Neil

2022

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The potential for student performance prediction in small cohorts with minimal available attributes

British journal of educational technology, 2020-03, Vol.51 (2), p.347-370

2020

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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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Mayo, Myriad, America Invents Act and BPCIA: how has the United States biopharmaceutical market been affected?

Pharmaceutical patent analyst, 2016-05, Vol.5 (3), p.159-167

2016

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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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BEHIND THE GAVEL: THE AUCTIONEER'S PERSONAL VIEWPOINT

Impressions (New York, N.Y.), 2021-01 (42), p.123

Davey, Neil K

2021

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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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Ananda Mohan 'Al' Chakrabarty 1938-2020

Nature biotechnology, 2021-01, Vol.39 (1), p.18-19

2021

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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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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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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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One year after Vanda, are diagnostics patents transforming into methods of treatment to overcome Mayo-based rejections?

Nature biotechnology, 2020-03, Vol.38 (3), p.279-283

2020

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The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability

Journal of pharmacy and pharmacology, 2020-02, Vol.72 (2), p.197-208

2020

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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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The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance

Procedia computer science, 2018, Vol.123, p.92-97

2018

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Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data

Journal of quantitative spectroscopy & radiative transfer, 2017-11, Vol.201, p.115-127

2017

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Designing & developing QueBall, a robotic device for autism therapy

The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014, p.574-579

2014

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IEEE_Xplore

Development of a Gaussian Process – feature selection model to characterise (poly)dimethylsiloxane (Silastic®) membrane permeation

Journal of pharmacy and pharmacology, 2020-07, Vol.72 (7), p.873-888

2020

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Structural plasticity and associative memory in balanced neural networks with spike-time dependent inhibitory plasticity

BMC neuroscience, 2015-12, Vol.16 (S1), p.P235-P235, Article P235

2015

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Animal control by spiking neural networks evolved with a genetic algorithm

BMC neuroscience, 2015-12, Vol.16 (198), p.P237-P237, Article P237

2015

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Evolving small spiking neural networks to work as state machines for temporal pattern recognition

BMC neuroscience, 2015-12, Vol.16 (S1), p.P238-P238, Article P238

2015

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An automatic taxonomy of galaxy morphology using unsupervised machine learning

Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions

Cerebellar output controls generalized spike-and-wave discharge occurrence

Telling Tales: Digital Storytelling as a Tool for Qualitative Data Interpretation and Communication

OVERCOMING PATENT BARRIERS TO INCREASE ACCESS TO MEDICINES: A NEW PATH FORWARD FOR COMPULSORY LICENSING

The potential for student performance prediction in small cohorts with minimal available attributes

The application of Gaussian processes in the prediction of percutaneous absorption

Mayo, Myriad, America Invents Act and BPCIA: how has the United States biopharmaceutical market been affected?

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

BEHIND THE GAVEL: THE AUCTIONEER'S PERSONAL VIEWPOINT

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

Ananda Mohan 'Al' Chakrabarty 1938-2020

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

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

Determinants of pattern recognition by cerebellar Purkinje cells

One year after Vanda, are diagnostics patents transforming into methods of treatment to overcome Mayo-based rejections?

The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability

High capacity associative memories and connection constraints

The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance

Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data

Designing & developing QueBall, a robotic device for autism therapy

Development of a Gaussian Process – feature selection model to characterise (poly)dimethylsiloxane (Silastic®) membrane permeation

Structural plasticity and associative memory in balanced neural networks with spike-time dependent inhibitory plasticity

Animal control by spiking neural networks evolved with a genetic algorithm

Evolving small spiking neural networks to work as state machines for temporal pattern recognition

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