454 search results for “neural networks” in the Public website
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stability of delay differential equations with applications to neural networks
Promotor: S.M. Verduyn Lunel, Co-Promotor: O.W. van Gaans
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Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…
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Reaction of Polyatomic Molecules on Surfaces Using a High-Dimensional Neural Network Potential: CHD3 + Cu(111)
An accurate description of reactive scattering of molecules on metal surfaces often requires the modeling of energy transfer between the molecule and the surface phonons. Although ab initio molecular dynamics (AIMD) can describe this energy transfer, AIMD is at present untractable for reactions with…
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System-level design for efficient execution of CNNs at the edge
A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.
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Spiking Neural P Systems
Promotor: J.N. Kok, Co-promotor: H.J. Hoogeboom
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Annelot Bosman
Science
a.w.bosman@liacs.leidenuniv.nl | +31 71 527 4799
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Aja Huang: 'The power of AlphaGo is in the use of neural networks'
How did Google's computer programme AlphaGo become so powerful? On June 29, developer Aja Huang elaborated on this during a lecture in the Gorlaeus building.
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Understanding deep meta-learning
The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Functional fluorescent materials and migration dynamics of neural progenitor cells
In this thesis, time-lapse fluorescent microscopy plays a pivotal role in investigating functional materials within living cells as well as the migratory behaviour of neural progenitor cells.
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Large scale visual search
Promotor: J.N. Kok, Co-promotor: M.S. Lew
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Genetic, biochemical and neural correlates of vulnerability to depression.
How do genetic and environmental factors make us vulnerable to depression?
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Hongchang Shan
Science
h.shan@liacs.leidenuniv.nl | +31 71 527 7491
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Long term dynamics of stochastic evolution equations
Promotor: S.M. Verduyn Lunel, Co-promotor: O. van Gaans
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Geert-Jan Kroes
Science
g.j.kroes@chem.leidenuniv.nl | +31 71 527 4396
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Unraveling the Neural Basis of Self-Esteem in Adolescent Depression
What are the social and neural mechanisms that contribute to fluctuations in self-esteem in healthy adolescents and adolescents with depression?
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Influence of dissociation on the neural correlates of Emotional Working Memory in Borderline Personality Disorder
How do dissociative states affect the ability to suppress emotional distraction (in the context of a working memory task) in patients with Borderline Personality Disorder?
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Accurate modeling of the dynamics of dissociative chemisorption on metal surfaces
Fundamental understanding of molecular reactions on metal surfaces is important for improving heterogeneous catalysis.
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Neural correlates of vocal learning in songbirds and humans: cross-species fMRI studies into individual differences
Vocal learning is a trait shared by songbirds and humans. It is also a trait that is restricted by the brain rather than by a species' vocal apparatus. In this dissertation, functional MRI is employed in both species in order to explore potential common neural mechanisms underlying the ability to develop…
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Diego Garlaschelli Group - Econophysics and Network Theory
We study the structure, dynamics and physics of complex networks emerging from the intricate interconnectedness of the constituents of large systems.
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Cognitive control in context: Neural, functional, and social mechanisms of metacontrol.
To argue that people can control the relative contributions of goal-driven and stimulus-driven processes to decision-making and action selection.
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How Jihadist Networks Operate
The recent terrorist attacks in Europe are presumably not just acts committed by individuals, but acts facilitated by larger jihadist networks. But how do such networks operate? Understanding their modus operandi can be useful knowledge to counter terrorist threats.
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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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Transnational networks and domestic agencies
This dissertation studies how domestic regulatory agencies and the officials representing them are influenced by and deal with the increasingly complex transnational environments in which they have come to operate. Based on (social) network analysis it demonstrates how decisions of domestic agencies…
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Changing minds in social anxiety: A developmental network approach to neurocognitive bias modification
Which adolescents are more at risk of developing social anxiety disorder later in life?
- Network
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NETWORKS
How do we address the pressing challenges posed by large-scale networks?
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Leiden Complex Networks Network (LCN2)
The Leiden Complex Networks Network (LCN2) aims at bringing together scientists from different disciplines, based on a common interest in both theoretical models and empirical analyses of networks and graphs.
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Network
The Leiden Leadership Centre is an international and interdisciplinary network organisation connecting people and perspectives.
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Breaking of ensemble equivalence for complex networks
For many system in statistical physics the microcanonical and canonical ensemble are equivalent in the thermodynamic limit, but not for all.
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Landscapes as networks
Modelling supra-regional communities in the early 3rd Millennium BC
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Alberto Ceria-
Science
a.ceria@liacs.leidenuniv.nl | +31 71 527 2727
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Robots and burial mounds
Neural networks have a wide range of applications. In Leiden, psychologists use them to build robot brains, whereas archaeologists use them to hunt for prehistoric graves.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Network
Below you can find lists of Leiden-based and international organizations working on Central Asia, and an overview of useful resources on Central Asia.
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Network
The ‘Food citizens?’ project is assisted by an advisory board, consisting of academics and stakeholders.
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Network
LeiCenSAA is dedicated to the study of Ancient Arabia and the sharing of knowledge and expertise on this topic. Thefore it aims to collaborate closely with other research in the field.
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Sustainability Network
The Leiden University Sustainability Network is the platform for Leiden University staff and students to combine their efforts and support each other in making our university more sustainable.
- Networked Diplomacy
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Exploration on and of Networks
This dissertation consists of two parts, with the common theme
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LGBT+ Network
The LGBT+ Network offers a platform for all lesbian, gay, bisexual, transgender and queer staff and students at Leiden University.
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Island Networks
The focus of this programme is the inter-community social relationships and transformations of island networks in the Lesser Antilles across the historical divide.
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PhD Network
Both within Leiden University and in the external partner universities PhD research is conducted which is directly or indirectly related to regional integration.
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AMT Network
Below you can find an overview of our network.
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Managerial Networking and School Performance
How and under what conditions Dutch primary school principals' managerial networking activities affect the performance of their school
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On metrics and models for multiplex networks
In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.
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Roy de Kleijn: ‘Fetching a glass of water is extremely difficult for a robot’
Training a robot in a real-life environment is more or less impossible. Computer scientist and psychologist Roy de Kleijn switched to training in a simulated, virtual one instead. ‘You do have a reality gap, but the more precisely you train the robot, the better it is in practice.’ His inspiration:…