Computational Learning and Memory Group Welcome Trust Investigator Award

home | members | publications | events | teaching | vacancies | directions

Máté Lengyel Máté Lengyel is a reader (equiv. US associate professor) in computational neuroscience at the Department of Engineering, University of Cambridge. Previously, he studied biology for his MSc and neurobiology for his PhD at Eötvös University, Budapest, while working in the computational neuroscience lab of Péter Érdi. He was then a postdoc with Peter Dayan at the Gatsby Computational Neuroscience Unit, UCL, followed by a visiting research fellowship at the Collegium Budapest Institute for Advanced Study. He studies learning and memory from computational, algorithmic/representational and neurobiological viewpoints. He also maintains an active interest in the possible computational functions of neural oscillations, particularly those present in the hippocampus and neocortex.

bernacchia.jpg Alberto Bernacchia joined the group as a senior research associate in 2016 and is co-supervised by Guillaume Hennequin. He is interested in the dynamics of neural circuits during learning, memory storage and retrieval, decision-making and perception.

Daniel McNamee joined the group as a postdoc in 2015 and is co-supervised by Daniel Wolpert. He received a PhD in Computation and Neural Systems from the California Institute of Technology. He studies the neural and computational principles by which people develop internal representations of their environment.

Rodrigo Echeveste joined the group as a postdoc in 2016 and is co-supervised by Guillaume Hennequin. He studied Physics for his BCs and MSc at Balseiro Institute, in Argentina, working for his thesis with Inés Samengo, on categorization in autistic children. He later obtained a PhD in Physics from the Goethe University in Frankfurt, Germany, where he worked in the group of Claudius Gros, developing synaptic plasticity rules. He is interested in dynamics of neural networks, synaptic plasticity, and learning.

Laurence Aitchison joined the group as a postdoc in 2016 and is co-supervised by Guillaume Hennequin. He did a PhD at the Gatsby Computational Neuroscience Unit with Peter Latham. He has interests in Bayesian models of circuits, synapses, and human behaviour, as well as broader interests in social decision making, sampling-based probabilistic inference, and systems biology.

GregSotiropoulos.jpg Greg Sotiropoulos joined the group as a postdoc in 2016 and is co-supervised by Daniel Wolpert. He has a BSc in Computer Science & Artificial Intelligence and a PhD in Computational Neuroscience, both from the University of Edinburgh. His doctoral research was on vision as Bayesian inference and the learning of prior probabilities in motion perception. He has also worked as a Research Associate with Peggy Series and Aaron Seitz, modelling the generalization (transfer) or disruption of perceptual learning across stimuli, tasks and retinal locations. His general interest is learning of all kinds.

Dylan Festa Dylan Festa joined the group as a PhD student in 2012 after having obtained a Masters in Physics at the University of Pisa and worked as an Erasmus Scholar in Fred Wolf's Theoretical Neuroscience group at the Max Planck Institute in Göttingen.

Yan Wu Yan Wu joined the group as a PhD student in 2012. He has obtained an MSc at the University of Waterloo (with Chris Eliasmith and Matthijs van der Meer) and BEng in Software Engineering at Wuhan University (with Hengjin Cai). He is interested in learning and memory.

Brian Trippe Brian Trippe joined the group as an MPhil student in 2016. He obtained his BA from Columbia College in New York in Biochemistry and Computer Science. He is interested in synaptic plasticity and the establishment of the computational capacities of neurons during development.

Alumni

David Barrett, postdoc (2014-2016)
while in the group, worked on the learning and inference in spiking networks
currently at Google DeepMind

Guillaume Hennequin, postdoc (2012-2015)
while in the group, worked on the dynamics of excitatory-inhibitory neural networks
currently faculty here, at CBL, the Department of Engineering, University of Cambridge

Sina Tootoonian, postdoc (2012-2015)
while in the group, worked on neural network models of insect olfaction
currently postdoc at the Gatsby Computational Neuroscience Unit, UCL with Peter Latham

Johannes Friedrich, postdoc (2013-2015)
while in the group, worked on neural network implementations of model-based reinforcement learning
currently postdoc at Columbia with John Cunningham and Liam Paninski

Balázs Ujfalussy, postdoc (2011-2013)
while in the group, worked on normative models of dendritic processing
currently postdoc at the Institute of Experimental Medicine, Budapest with Judit Makara

Cristina Savin, postdoc (2010-2013)
while in the group, worked on normative models of autoassociative memory
currently independent postdoc as an ISTFELLOW at IST Austria

Jean-Pascal Pfister, postdoc (2008-2010)
while in the group, worked on normative models of short-term synaptic plasticity
currently SNF Professor at the Institute of Neuroinformatics, University of Zurich and ETH Zurich

Gergő Orbán, MSc, PhD (1998-2008), postdoc (Marie Curie Intra-European Fellow) (2010-2012)
while in the group, worked on models of hippocampal theta-gamma oscillations (MSc), visual statistical learning in humans (PhD), and a sampling-based theory of cortical responses (postdoc)
currently group leader at Wigner Institute, Budapest, on a Momentum grant from the Hungarian Academy of Sciences

Neil Houlsby, MEng, PhD (co-supervised with Zoubin Ghahramani) (2009-2014)
while in the group, worked on active learning and behavioural data analysis
currently researcher at Google Zurich

David Zoltowski, MPhil (Churchill Scholar) (2015-2016)
while in the group, worked on quantitative models of temporal dynamics in perceptual decision making
currently a research assistant in Jonathan Pillow's lab at Princeton

Alexander Greaves Tunnell, MPhil (2014-2015)
while in the group, worked on neural network models of probabilistic inference
currently PhD student at the University of Washington.

Ryutaro Tanno, MPhil (2014-2015)
while in the group, worked on normative models of recognition memory
currently PhD student at UCL

DJ Strouse, MPhil (Churchill Scholar) (2011-2012)
while in the group, worked on statistical descriptive models of dendritic processing
currently PhD student at Princeton

Ferenc Huszár, MSc (2007-2009)
while in the group, worked on active learning and behavioural data analysis
currently senior research scientist at Twitter

Collaborators

Richard Aslin human psychophysics Dept Brain and Cognitive Sciences, U Rochester
Tiago Branco dendritic processing SW Centre for Neural Circuits and Behaviour, UCL
Peter Dayan computational theory Gatsby Computational Neuroscience Unit, UCL
József Fiser visual learning and psychophysics Dept Cognitive Science, Central European University
Rik Henson human memory, imaging MRC Cognition and Brain Unit, Cambridge
Niko Kriegeskorte vision, imaging, electrophysiology MRC Cognition and Brain Unit, Cambridge
Judit Makara in vitro dendritic processing Lab of Neuronal Signaling, Inst Experimental Medicine, HAS
Ken Miller dynamical theory Center for Theoretical Neuroscience, Columbia U
Ole Paulsen cortical electrophysiology Dept Physiology, Development and Neuroscience
Daniel Wolpert sensorimotor learning Dept Engineering, U Cambridge
 
This site is powered by FoswikiCopyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Foswiki? Send feedback