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  • Keyword: Learning

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  • Mike Aitken Dr Mike Aitken
    My research interests include human associative learning, and the role of this learning in intuitive and reflective decision-making systems, including gambling behaviour. Much of my research has involved causal and categorical judgments, with more...
  • Dr Danyal Akarca
    I'm interested in the intersection of neuroscience with machine learning for modeling brain function and detecting underlying psychiatric and neurological diagnostic groups. I'm also interested in the self-organisation of neural networks and how t...
  • Aleya Aziz Marzuki
    I am investigating the neurocognitive features of psychiatric disorders across human development. My project focuses on obsessive-compulsive disorder, specifically researching how learning and decision-making processes are affected in teenagers an...
  • Dr Pouya Baniasadi
    My general research interest is reverse engineering biological cognition; To understand the general principles and to create mathematical models that reproducing these strategies. Accordingly, I am interested in four major themes: Threat Detecti...
  • Dr Gonca Bayraktar
    My research aims to understand how synaptic plasticity governs learning and memory function of the brain and how gradual loss of function or impairment leads to neurodegeneration. treatment of dementia like Alzheimer’s disease. My research focuses...
  • Mr Samuel Bell
    From my background in machine learning, I'm generally interested in how humans learn to perform many tasks so effectively even with only limited experience, and the role of inductive bias and priors in driving this ability. I'm looking to use neur...
  • Dr Giulia Bonetto
    Studies of neural circuit plasticity focus almost exclusively on functional and structural changes of neuronal synapses. In recent years, however, myelin plasticity has emerged as a potential modulator of neuronal networks. Indeed, myelination of ...
  • Daniel Campbell-Meiklejohn Dr Daniel Campbell-Meiklejohn
    I study social cognition with a focus on social influence and prosocial behaviour with a neuroscience focus. I have moved to the University of Sussex where I am currently the PI of The Social Decision Laboratory. Come visit! http://www.thesoc...
  • Vasiliki Chatzi
    I am interested in applying statistical and machine learning approaches to build models that can characterise psychiatric symptoms/disorders. During my PhD I developed a novel pipeline for biomarker identification in schizophrenia using neuroimagi...
  • Dr Hannah Clarke
    Understanding the neural and neurochemical basis of behaviours mediated by the prefrontal cortex and their relevance to psychiatric disorders.
  • Anthony Dickinson Professor Anthony Dickinson
    My primary research interests concern learning, memory, motivation, and future planning in both humans and animals. My interest in learning and memory is focussed on the distinction between goal-directed and habitual instrumental behaviour as asse...
  • Stephen Eglen Dr Stephen Eglen
    I use computational tools to help investigate mechanisms of neural development. In particular, I study the formation of retinotopic maps and retinal mosaics in vertebrate visual systems. In addition, I am interested in the analysis of large-scale...
  • Barry Everitt FMedSci FRS Professor Barry Everitt Sc.D., F.R.S., F.Med.Sci.
    My research is concerned with the neural and psychological mechanisms underlying learning, memory, motivation and reward especially related to drug addiction. A major research theme is the impact of learning on drug addiction - both its developmen...
  • Paul Fletcher Professor Paul Fletcher
    I am interested in psychosis. I agree with the long tradition of clinical psychiatric research which suggests that, during a psychotic illness, the world is a strange place because strange associations are formed and inconsequential stimuli are as...
  • Polytimi Frangou
    I am interested in understanding the plastic changes that brain circuits undergo during training and in developing interventions that facilitate brain plasticity when these brain circuits are compromised. I combine cutting-edge high-field brain im...
  • Johannes Friedrich Dr Johannes Friedrich
    My research lies at the intersection of computational neuroscience and machine learning, targeting the general question of how statistics can help us decipher neural computation. Most of my work centered on decision making, in particular on implem...
  • Dr Delia Fuhrmann
    I am interested in lifespan development and plasticity. My current research focus is executive functions, such as reasoning and working memory, and their neural substrates. I am investigating this topic using mostly large, publicly available data-...
  • Susan Gathercole Professor Susan Gathercole
    I am a cognitive psychologist with interests in memory, learning and language. Until 2018 I was the Director of the MRC Cognition and Brain Sciences Unit (CBU) in Cambridge and am now based in Developmental Psychiatry. One strand of my research in...
  • Zoubin Ghahramani Professor Zoubin Ghahramani
    My current research interests include Bayesian approaches to machine learning, artificial intelligence, statistics, information retrieval, bioinformatics, and computational motor control. Statistics provides the mathematical foundations for handli...
  • Chiara Giuliano Dr Chiara Giuliano
    I am interested in the neural processes regulating the development of impulsive / compulsive disorders such as drug addiction and binge-eating disorders.
  • Dr Tobias Goehring
    My focus lies on improving the perception of speech for people with hearing loss in everyday life, especially in difficult listening situations with interfering background sounds. I combine techniques from Engineering, Auditory Neuroscience and Ma...
  • Professor Juan Manuel Gorriz
    The SIPBA group use computational and mathematical approaches based on the statistical learning theory to develop computer-aided diagnosis systems in the field of neuroscience. SiPBA aim to provide supporting tools to physicians in the early diagn...
  • Ms Juliet Griffin
    I study the cognitive and neural mechanisms underlying the formation and stubborn persistence of delusions and other psychotic symptoms in psychiatric illnesses like schizophrenia. I am interested in how the brain uses uncertain information (parti...
  • James Heald Mr James Heald
    I am interested in understanding the computational principles that underlie sensorimotor control and learning in the human brain.
  • Dr Daniel Hill
    I am interested in the neurophysiology of reward valuation and decision making in the context of learning and memory. My current work is focused on better understanding how dopamine neurons encode value and economic utility. Though their role is w...
  • Sean Holden Dr Sean Holden
    Our research covers assorted issues in both theoretical and applied machine learning. At present we are interested in: - Computational learning theory. How can we better understand the properties of machine learning algorithms in terms of, for ex...
  • Tony Holland Professor Tony Holland
    The focus of our interdisciplinary research is on learning disabilities (intellectual disabilities/mental handicap) from different perspectives. Research to date has had the following main themes. First, the relationship between specific genetical...
  • Fumiya Iida Dr Fumiya Iida
    Our research interests lie at the biologically inspired robotics, i.e. the cross section between biology and robotics: We are interested in extracting design principles of nature and extend them for improving our robotics technologies.
  • Dr James Ingram
    My research focuses on understanding the sensorimotor control of the arm and hand in humans. I am especially interested in object manipulation and tool use. Object manipulation and tool use is an essential feature of human behaviour. It represents...
  • Emer Jones
    I’m interested in using artificial neural networks as a modelling framework for the human ventral stream: first developing an additional test-bed of how ‘brain-like’ neural nets are, and then trying to improve their ability to predict neuroimaging...
  • Kristjan Kalm Dr Kristjan Kalm
    My research interests lie broadly in the models short term memory and learning. I am particularly interested in the representation and learning of sequential information and I use fMRI and computational modelling to study these processes. In addit...
  • Yul Kang
    I study decision making, learning, and memory with computational models and behavioral experiments. I am interested in finding the normative way to solve a computational problem, how human performance conforms to or deviates from it, and what cons...
  • Zoe Kourtzi Professor Zoe Kourtzi
    My work aims to understand the role of learning and experience in enabling humans of all ages to translate sensory experience into complex decisions and adaptive behaviours. Adaptive cognitive abilities are critical for survival and social interac...
  • Alexandra Lautarescu Miss Alexandra Lautarescu
    I am interested in the link between Down Syndrome and the high risk of developing Alzheimer's Disease and I am currently conducting an MPhil under the supervision of Prof. Anthony Holland and Dr. Shahid Zaman, as part of the "Defeat dementia in Do...
  • Máté Lengyel Professor Máté Lengyel
    I study learning and memory from computational, algorithmic/representational and neurobiological viewpoints. I also maintain an active interest in the possible computational functions of neural oscillations, particularly those present in the hippo...
  • Dr Marwa Mahmoud
    My research interests lie in the field of social signal processing and human behaviour understanding, which includes expressions of emotions or medical conditions. My research draws on computer vision, machine learning, Human Computer Interaction ...
  • Dr Flavia Mancini
    Chronic pain affects 1 in 5 people and is the leading cause of disability in the world. There are unresolved questions that urgently require answers to treat pain effectively, a crucial one being how the brain processes pain signals and gives rise...
  • Brian McCabe Dr Brian McCabe
    The neural mechanisms of learning and memory, particularly imprinting in the domestic chick. The young of many species, when exposed to a conspicuous object, rapidly learn the object's characteristics and subsequently narrow their social preferenc...
  • Jennifer Murray Dr Jennifer Murray
    My research primarily involves mapping the striatal circuitry responsible for the transition from goal-directed to habitual drug seeking.
  • Alister Nicol Dr Alister Nicol
    Neuronal encoding in learning and memory
  • Claudia Pama Claudia Pama
    Currently I am based at the Wellcome Trust – Medical Research Council Cambridge Stem Cell Institute in the lab of Dr Karadottir, investigating the pattern of developmental cortical myelination as well as the function of myelin in learning - under...
  • Omar David Perez Omar Perez
    I'm generally interested in human and animal Associative Learning and value based Decision-Making (Neuroeconomics). Under the supervision of Dr. Amy Milton and Prof. Anthony Dickinson, my Ph.D. work focused in developing a computational dual-syste...
  • Dr Jasper Poort
    I want to understand how we selectively process behaviourally relevant visual input. How does the brain turn a constant overflow of sensory information into selective representations of our environment that can optimally guide our actions? Studyin...
  • Mr Miro RabVass
    * Modulating risk taking behaviour in healthy populations * Risk vs uncertainty: neurocognitive aspects of decision making under uncertainty by serial entrepreneurs * Decision making under uncertainty: C-suite executives, entrepreneurs and foun...
  • Lucy Raymond Dr Lucy Raymond
    The group aims to understand the molecular mechanisms underlying intellectual disability in humans. Our main focus is on families with X linked disease. In collaboration with The Wellcome Trust Sanger Institute, we are using a new approach to dise...
  • Barry  Rogers Barry Rogers
    I am a social psychologist, a Senior Visiting Fellow at the Institute of Social Psychology (LSE) and an EdD candidate at the Faculty of Education (Cambridge). The core of my time is spent as an educator in a non-traditional setting. I design and...
  • Júlia Sala-Bayo
    I am interested in the neural mechanisms that underlie executive functions and cognitive control. The main aim of my research is to gain understanding of the neural circuit involved in cognitive flexibility. Specifically, how dopamine in stratal...
  • Dr Deborah Talmi
    Our over-arching research aim is to understand emotional experiences. We approach this question from two angles, examining both the specific intensity of current feelings and how past emotional experiences come to mind later on. Our work spans t...
  • Tor Tarantola Tor Tarantola
    I study reinforcement learning, value-based decision-making, and social cognition. I am especially interested in how these processes contribute to moral judgments, in particular how people decide to punish others for violating social norms. I use ...
  • Delshad Vaghari
    We are investigating bio-markers to early detection of dementia based on MEG with Machine Learning approach
  • Sin Yee Yap
    Machine learning - Autoencoder - Magnetic Resonance Imaging (MRI) Analysis - Brain functional connectivity
  • Steve Young Professor Steve Young
    My primary interest is in adaptive learning in spoken dialogue systems. This currently involves modelling human machine dialogues using the framework of Partially Observable Markov Decision Processes (POMDPs). The research issues addressed incl...
  • Suyi Zhang
    The systems neuroscience of human pain and aversive learning.
  • Peter Zhukovsky Mr Peter Zhukovsky
    My reseach focuses on the neural and behavioural mechanisms of drug addiction. More specifically, I am interested in the role of compulsivity as an endophenotype pre-disposing animals to drug addiction. Currently I am using a behavioural task to r...
  • Miss Katharina Zuhlsdorff
    I am interested in the application of deep learning to neuroscientific data - specifically, I use multimodal neuroimaging and behavioural datasets to study drug addiction and impulsivity. I aim to relate behavioural endophenoypes to changes in bra...

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