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29 Sep 2020: Publications. Select Page. Centre for Lifelong Learning and Individualised Cognition. The Centre for Lifelong Learning and Individualized Cognition (CLIC) is a programme in the Science of Learning initiative that leverages progress ... in neuroscience to

27 Jun 2024: Research includes Bayesian learning, computational neuroscience, statistical machine learning and sensorimotor control. ... Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for

28 Jun 2024: 01 Jan 2010. For some children, acquiring the important skills of learning to read or do arithmetic is fraught with difficulty. ... Educational neuroscience is. 2024 University of Cambridge.

1 Jan 2010: Search. Search. The educational neuroscience of dyslexia and dyscalculia. Research. The educational neuroscience of dyslexia and dyscalculia.. ... But how can these electrical measurements tell us anything about the process of learning?

27 Jun 2024: Professor Ioannis Kontoyiannis. Professor Kontoyiannis works in information theory, applied probability, and statistics, including their applications in neuroscience, bioinformatics, and the development of machine learning algorithms. ... Generalised

27 Jun 2024: Opportunities. Professor Kontoyiannis works in information theory, applied probability, and statistics, including their applications in neuroscience, bioinformatics, and the development of machine learning algorithms. ... Generalised shot noise

28 Jun 2024: The research activity is at the core of a Wellcome Trust funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and ... You will receive

28 Jun 2024: Search site. Department of Physiology, Development and Neuroscience. Machine learning tool improves tracking of tiny moving particles. ... We used the power of machine learning to solve this long-standing problem by automating the tracing of

27 Jun 2024: by developing machine learning methodology for analysing complex datasets in light of these theories. ... Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems

28 Jun 2024: Research Staff. My research interests are at the intersection of machine learning and natural sciences (medicine, biology and neuroscience). ... More broadly, I am interested in applications of machine learning applications for space research.

27 Jun 2024: Search site. Statistical Laboratory. Professor Ioannis Kontoyiannis. Professor Kontoyiannis works in information theory, applied probability, and statistics, including their applications in neuroscience, bioinformatics, and the development of

28 Jun 2024: Clarke HF, Hill GJ, Robbins TW, Roberts AC, (2011), Dopamine, but not serotonin, regulates reversal learning in the marmoset caudate nucleus, Journal of Neuroscience, 31:4290-4297. ... Rygula R, Walker S, Clarke H, Robbins TW, Roberts AC, (2010),

27 Jun 2024: Information theory, machine learning, and convex geometry. Yes. ... Information theory, applied probability, and statistics, including their applications in neuroscience, bioinformatics, and the development of machine learning algorithms.

28 Jun 2024: The research activity is at the core of a Wellcome Trust funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and ... You will receive

28 Jun 2024: My research explores the intersection of meta-learning and neuroscience. To find out more about me, check out my webpage:Contact Details. ... Room:. GS08. Office phone:. (01223) 7-63612. Email:. rd654@cam.ac.uk. Contact us. Department of Computer Science

6 Oct 2020: Involving researchers in psychology, neuroscience, linguistics and education, CLIC will explore cross-disciplinary ways to develop innovative research in the science of learning. ... This is where research in the Science of Learning can play a key role

28 Jun 2024: The research activity is at the core of a Wellcome Trust funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and ... You will receive

27 Jun 2024: Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and Jonathan Pillow – thank you ... We have a shiny new CBL website!

28 Jun 2024: Research Areas. Systems neuroscience. Circuit mechanisms of behaviour. Learning and memory. ... Decision-making . Connectomics. Techniques. Optogenetics. Functionalists imaging of neural activity. Learning and memory tasks.

28 Jun 2024: Clarke HF, Hill GJ, Robbins TW, Roberts AC, (2011), Dopamine, but not serotonin, regulates reversal learning in the marmoset caudate nucleus, Journal of Neuroscience, 31:4290-4297. ... Rygula R, Walker S, Clarke H, Robbins TW, Roberts AC, (2010),Journal

27 Jun 2024: Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and Jonathan Pillow – thank you ... He will be giving a perspective

28 Jun 2024: Discover how learning relates to social, political and economic contexts, to the arts and development of humankind. ... Theatre: Text and Production . Education, Neuroscience and Society . Formal and Informal Contexts of Learning .

27 Jun 2024: Uri Cohen. I am a Blavatnik Cambridge Postdoctoral Fellow at the Computational and Biological Learning Lab, and am interested in developing theories on the dynamics of learning and memory in the ... His main interests lie in neuroscience, machine learning

28 Jun 2024: Search site. Adaptive Brain Lab. Prof Zoe Kourtzi. Zoe Kourtzi is Professor of Experimental Psychology and Computational Cognitive Neuroscience at the Department of Psychology, University of Cambridge. ... Within this framework research in my lab spans

28 Jun 2024: Goswami, U. (2012). Principles of learning, implications for teaching? Cognitive neuroscience and the classroom. ... Goswami, U. (2011). What cognitive neuroscience really tells educators about learning and development.

28 Jun 2024: Biography:&nbsp;</div><div class="field-items"><div class="field-item even"><p>Zoe Kourtzi is Professor of Experimental Psychology and Computational Cognitive Neuroscience at the Department of Psychology, University of ... br /> Within this framework

26 Jun 2024: are based on the research of Professor Barbara Sahakian and Professor Trevor Robbins of the University of Cambridge MRC /Wellcome Trust Behavioural and Clinical Neuroscience Institute. ... CANTAB Pal (Paired Associates Learning), which was one of the

So why is language learning still so difficult? Haven't the plethora of philosophical thought experiments, cognitive theories and neuroscience research combined with the scale and reach of modern technology enabled ... Ahmed will be presenting his talk

28 Jun 2024: Wang R, Shen Y, Tino P, Welchman AE, Kourtzi Z (2017) Learning predictive statistics from temporal sequences: dynamics and strategies. ... mechanisms. Journal of Neuroscience 37(35):8412– 8427.

So why is language learning still so difficult? Haven't the plethora of philosophical thought experiments, cognitive theories and neuroscience research combined with the scale and reach of modern technology enabled ... The nature of knowing represented

28 Jun 2024: Alahmadi HH, Shen Y, Fouad S, Luft CD, Bentham P, Kourtzi Z, Tino P (2016) Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment. ... Journal of Cognitive Neuroscience X:Y, pp.

1 Nov 2018: We take a life course and multidisciplinary approach to the problem: from a child’s genes and clinical development in the womb, through the neuroscience and psychology of learning disorders, to ... Education features prominently in our research. In

8 Jan 2015: If a new task, whether that is serving a tennis ball or learning a passage on a musical instrument, is repeated enough times, a motor memory of that task is developed. ... However this research suggests that this variability has another very important

1 Feb 2008: And now, a branch of neuroscience that works on quantitative models of the nervous system – computational neuroscience – is also contributing to the quest. ... CBL is investigating the computational principles underlying human sensorimotor control,

28 Jun 2024: One of our aims is to understand the effects of learning on brain activity in early visual areas (specialized in representing detailed visual features) and high-level visual cortical areas (that ... 2018). Distinct learning-induced changes in stimulus

27 Jun 2024: Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems. ... Students in computational neuroscience benefit from the strong machine learning group within CBL.

28 Jun 2024: 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. ... Annual Review of Neuroscience, 34, 45-67. Zhang J, Kourtzi Z (2010).

27 Jun 2024: Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems. ... Students in computational neuroscience benefit from the strong machine learning group within CBL.

18 May 2007: He has defined the functional organisation of the limbic-striatal circuitry that mediates Pavlovian and instrumental learning processes. ... He has been Master of Downing College since 2003. Professor William Anthony Harris, Head of the Department of

Degrees. BSc in Chemistry and Physiology (University of Leeds), PhD in Neuroscience (University College London). ... Research Interests. Neural mechanisms of learning and memory. Teaching Interests. Neuroscience, Physiology, Statistics, Theoretical

28 Jun 2024: Her lab is studying the circuit basis of learning and action-selection. ... for neuroscience, but also machine-learning and robotics.

Schölkopf and Logothetis) for another MSc degree (2007) to work in the intersection of neuroscience and machine learning. ... Applied: Machine learning, Bayesian statistics and hierarchial networks Pure: Riemann geometry and optimal transport.

15 Jun 2024: Oxford: Classics and neuroscience. Meanwhile, simultaneously in Oxford at Pitt Rivers, Dr Shushma Malik gave a talk on “Classics and new directions,” while Nazia Jassim, who recently completed her PhD in ... Psychiatry, spoke on “The cognitive

25 Jun 2024: She has since been involved in a number of projects and is gaining a national and international reputation in the fields of cognitive neuroscience, neuropsychology, psychiatry and psychopharmacology. ... J. (2022). Theory of Mind and Preference Learning

27 Jun 2024: and Kourtzi, Z., 2021. Research data supporting "i-ABC: a computerised application for online profiling of learning ability and cognitive flexibility". ... Goswami, U., 2008. Principles of Learning, Implications for Teaching: A Cognitive Neuroscience

23 Oct 2020: The CANTAB series of tests are based on the research of Professor Barbara Sahakian and Professor Trevor Robbins of the University of Cambridge MRC /Wellcome Trust Behavioural and Clinical Neuroscience Institute. ... CANTAB Pal (Paired Associates Learning)

My previous theoretical research focused on machine-learning methods as algorithmic metaphors for neural computation, and the mathematical foundations of statistical tools for systems neuroscience. ... My ongoing research focuses on studying sensorimotor

29 Oct 2021: Lunch and coffee provided. The annual Cambridge Memory Meeting (CAMM) will this year be hosted by the Bussey-Saksida Translational Cognitive Neuroscience Lab. ... The aim of this meeting is to encourage greater interaction between Cambridge researchers

28 Jun 2024: Journal of Neuroscience 20 (12) 5115-5223. Carter, R. J., Hunt, M.A. & ... J., Bates, G.P., Morton, A. J. & Dunnett, S. B. (1999) Selective discrimination learning impairments in mice expressing the human Huntington's Disease mutation Journal of

Director of Life Sciences Institute Immunology Programme at National University of Singapore, in a lively and wide-ranging discussion across developmental neuroscience, flexible learning across the lifespan, and what this could ... He has applied