Kris De Meyer

Kris De Meyer
King's College London | KCL · Department of Neuroimaging

PhD

About

35
Publications
5,646
Reads
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348
Citations
Additional affiliations
September 2016 - present
King's College London
Position
  • Research Associate
September 2012 - March 2015
King's College London
Position
  • Research Associate
September 2009 - March 2011
King's College London
Position
  • Research Associate
Description
  • Researching sensori-motor transformations in parietal cortex.

Publications

Publications (35)
Article
Full-text available
There is a gap between the current role of the climate science community and the needs of society. Closing this gap represents a necessary but insufficient step towards improved public discourse and more constructive policy formulation on climate change.
Article
Full-text available
By some counts, up to 98% of environmental news stories are negative in nature. Implicit in this number is the conventional wisdom among many communicators that increasing people's understanding, awareness, concern or even fear of climate change are necessary precursors for action and behavior change. In this article we review scientific theories o...
Technical Report
Full-text available
An analysis of historical cost trends of energy technologies shows that the decades long increase in the deployment of renewable energy technologies has consistently coincided with steep declines in their costs. For example, the cost of solar photovoltaics has declined by three orders of magnitude over the last 50 years. Similar trends are to be fo...
Article
Full-text available
The world is dangerously off track to meet the Paris Agreement goals. The risks are compounding. Without immediate action the impacts will be devastating in the coming decades.
Article
Full-text available
In November 2020, a meeting was held to explore what citizen science practitioners can gain from understanding engagement, marketing, and volunteer motivations in order to benefit recruitment and retention in environmental citizen science. This report summarises the lessons learned from considering the role of people as participants within citizen...
Article
Full-text available
The UCL Climate Action Unit aims to transform how society acts on climate change. Its approach is underpinned by a systems-based understanding of why governments, businesses and citizens are not acting at the scale and pace needed - and how this can be resolved. Earlier this year the Climate Action Unit worked with a group of MPs and Peers to explo...
Preprint
This handbook is a practical guide to communicating climate risk, designed specifically for those working at the interface of climate science and policy. It explains insights from psychology and neuroscience on how our brains engage with the idea of climate risk, it highlights journalism hacks for writing about risk clearly, it shares lessons learn...
Article
Full-text available
Global environmental change is one of the most pressing issues facing future generations. Equipping schoolchildren with a clear understanding of physical geography is therefore a key educational priority. Effectively engaging schoolchildren with complex scientific ideas can be challenging, but with the appropriate tools, scientists can play a valua...
Article
Full-text available
To increase awareness of the current challenges facing the marine environment, the Future of Our Seas (FOOS) project brought together the expertise of scientists, public engagement experts and creatives to train and support a group of marine scientists in effective science communication and innovative public engagement. This case study aims to insp...
Article
Full-text available
The Justice Syndicate (TJS) is an interactive performance, featuring an audience who become jurors considering a difficult case. Via iPads, participants receive evidence, witness testimonies and prompts to vote and discuss the case. We compare TJS to other theatre performances in which audiences are juries, arguing it is unique in only having twelv...
Article
Full-text available
The Justice Syndicate is an interactive performance, featuring an audience who take on the role of jurors considering a difficult case. Participants receive evidence, witness testimonies and prompts to vote and discuss the case on iPads. With this practice-as-research project we explored what are the most effective means of inviting people to parti...
Article
Full-text available
The workshop explored individual and collective actions to address climate change
Technical Report
Full-text available
Climate change risk assessments act as a bridge between climate science research and climate policy. The UCL Policy Commission for Communicating Climate Science brought together 30 policy makers, climate scientists and research funders in a workshop to explore how climate change risk assessments can be made more effective drivers of climate change...
Chapter
Full-text available
Knowledge from neuroscience and psychology – for example, about what constitutes effective learning experiences - can be an important guide for educational practices. However, there is another way in which the mind sciences are relevant to education research: educators have minds too. They perceive, form opinions, and have practices, values, and wo...
Research
Full-text available
http://www.rightbetween.com Many people have a strong sense that their views are right and couldn’t possibly be wrong. So how do we come to hold an unshakable conviction and why is it hard to consider that we could be mistaken? Through the eyes of a group of people convinced that they knew the date of the end of the world, ‘Right Between Your Ear...
Chapter
Full-text available
As a neuroscientist, I study how our brains impose order and meaning on the information coming from the world around us. As a citizen, I follow important public debates and have become puzzled by how people can look at the same events and come to hold radically different views, which then lead them to denigrate those who disagree with them. Over ti...
Book
Full-text available
Climate scientists are finding themselves ill-prepared to engage with the often emotionally, politically and ideologically charged public discourse on the evaluation and use of their science. This is proving unhelpful to evidence-based policy formulation, and is damaging their public standing. As a result, there is a pressing need to re-examine and...
Article
Full-text available
The UCL Policy Commission on the Communication of Climate Science, chaired by Professor Chris Rapley comprises a cross-disciplinary project group of researchers from psychology, neuroscience, science and technology studies, earth sciences and energy research. The Commission examined the challenges faced in communicating climate science effectively...
Article
Full-text available
In multimodal integration and sensorimotor transformation areas of the posterior parietal cortex (PPC), neural responses often appear encoded in spatial reference frames that are intermediate to the intrinsic sensory reference frames, for example, eye-centered for visual or head-centered for auditory stimulation. Many sensory responses in these are...
Article
Full-text available
The combination of two or more population-coded signals in a neural model of predictive coding can give rise to multiplicative gain modulation in the response properties of individual neurons. Synaptic weights generating these multiplicative response properties can be learned using an unsupervised, Hebbian learning rule. The behavior of the model i...
Article
Past physiological and psychophysical experiments have shown that attention can modulate the effects of contextual information appearing outside the classical receptive field of a cortical neuron. Specifically, it has been suggested that attention, operating via cortical feedback connections, gates the effects of long-range horizontal connections u...
Article
Full-text available
An information-processing paradigm in the brain is proposed, instantiated in an artificial neural net-work using biologically motivated temporal encod-ing. The network will locate within the external world stimulus, the target memory, defined by a specific pattern of micro-features. The proposed network is robust and efficient. Akin in operation to...
Article
Full-text available
This paper demonstrates that nonnegative matrix factorisation is mathematically related to a class of neural networks that employ negative feedback as a mechanism of competition. This observation inspires a novel learning algorithm which we call Divisive Input Modulation (DIM). The proposed algorithm provides a mathematically simple and computation...
Chapter
Full-text available
The concept of partial evaluation of fitness functions, together with mechanisms manipulating the resource allocation of population based search methods , are presented in the context of Stochastic Diffusion Search, a novel swarm intelligence metaheuristic that has many similarities with ant and evolutionary algorithms. It is demonstrated that the...
Article
Full-text available
Stochastic Diffusion Search (sds) was introduced by Bishop (1989a) as an algorithm to solve pattern matching problems. It relies on many concurrent partial evaluations of candidate solutions by a population of agents and communication between those agents to locate the optimal match to a target pattern in a search space. In subsequent research, sev...
Article
Full-text available
Stochastic Diffusion Search (SDS) is an efficient generic search method, originally developed as a population-based solution to the problem of best-fit pattern matching. In re-cent years, similarities between previously unrelated search methods have been discovered [28] and further unification and hybridisation is expected. In this context this pap...
Conference Paper
Full-text available
Stochastic Diusion Search is an ecient probabilistic best- fit search technique, capable of transformation invariant pattern match- ing. Although inherently parallel in operation it is dicult to implement eciently in hardware as it requires full inter-agent connectivity. This paper describes a lattice implementation, which, while qualitatively re-...
Conference Paper
Full-text available
One of the most pervading concepts underlying computa-tional models of information processing in the brain is linear input inte-gration of rate coded uni-variate information by neurons. After a suitable learning process this results in neuronal structures that statically repre-sent knowledge as a vector of real valued synaptic weights. Although thi...
Article
Full-text available
Stochastic Diffusion Search, a probabilistic pattern matching algorithm, has been applied to a variety of problems with great success, and its basic properties have been studied in detail. Although parallel in nature, most of the applications are implemented in software on serial machines. This report aims at giving an overview of possible modif...
Article
Full-text available
The paper discusses ensemble behaviour in the Spiking Neuron Stochas- tic Diusion Network, SNSDN, a novel network exploring biologically plausible information processing based on higher order temporal coding. SNSDN was proposed as an alternative solution to the binding problem (1). SNSDN operation resembles Stochastic Diusion Search, SDS, a non- de...
Conference Paper
Full-text available
We describe a novel approach to topological mapping for mobile robotics, and its advantages over existing proposals. The central idea is to develop a hierarchical "multiple resolution" representation from the robot's perceptions of its environment, computing only at a relevant level of detail for a given navigation task. The robot may then perform...
Conference Paper
We describe a novel approach to topological mapping for mobile robotics, and its advantages over existing proposals. The central idea is to develop a hierarchical "multiple resolution" representation from the robot's perceptions of its environment, computing only at a relevant level of detail for a given navigation task. The robot may then perform...

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