Promotor: S.M. Verduyn Lunel, Co-Promotor: O.W. van Gaans

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…

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…

A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.

Promotor: J.N. Kok, Co-promotor: H.J. Hoogeboom

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.

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.

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.

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.

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.

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.

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.

Promotor: J.N. Kok, Co-promotor: M.S. Lew

How do genetic and environmental factors make us vulnerable to depression?

Lecture

Promotor: S.M. Verduyn Lunel, Co-promotor: O. van Gaans

What are the social and neural mechanisms that contribute to fluctuations in self-esteem in healthy adolescents and adolescents with depression?

Fundamental understanding of molecular reactions on metal surfaces is important for improving heterogeneous catalysis.

We study the structure, dynamics and physics of complex networks emerging from the intricate interconnectedness of the constituents of large systems.

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.

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…

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?

Arts and culture, Artist Lecture & Workshop

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…

How do we address the pressing challenges posed by large-scale networks?

The Leiden Leadership Centre is an international and interdisciplinary network organisation connecting people and perspectives.

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.

To argue that people can control the relative contributions of goal-driven and stimulus-driven processes to decision-making and action selection.

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…

For many system in statistical physics the microcanonical and canonical ensemble are equivalent in the thermodynamic limit, but not for all.

Modelling supra-regional communities in the early 3rd Millennium BC

Below you can find lists of Leiden-based and international organizations working on Central Asia, and an overview of useful resources on Central Asia.

Which adolescents are more at risk of developing social anxiety disorder later in life?

The ‘Food citizens?’ project is assisted by an advisory board, consisting of academics and stakeholders.

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.

The discovery that eleven asteroids might collide with our Earth has become world news. The research of three Leiden astronomers has appeared on more than 190 news sites worldwide, from America to China. They developed and trained an artificial neural network for this discovery.

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.

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.

The LGBT+ Network offers a platform for all lesbian, gay, bisexual, transgender and queer staff and students at Leiden University.

This dissertation consists of two parts, with the common theme

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

The focus of this programme is the inter-community social relationships and transformations of island networks in the Lesser Antilles across the historical divide.

Both within Leiden University and in the external partner universities PhD research is conducted which is directly or indirectly related to regional integration.

Below you can find an overview of our network.

Workshop Series