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Máté Lengyel is Professor of 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.

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.

Rodrigo Echeveste joined the group as a postdoc in 2016 and is co-supervised by Guillaume Hennequin. He studied Physics for his BSc 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.

Yul Kang joined the group as a postdoc in 2018, and was elected a Junior Research Fellow at Wolfson College in 2019. He received his MD from Seoul National University in South Korea, and PhD in Neuroscience from Columbia University in the USA supervised by Michael Shadlen. He is interested in comparing how humans and machines decide and learn. He uses theoretical and experimental approaches to find optimal algorithms for decision making and (active) learning, and to characterize biological and computational constraints/biases that limit or enhance performance.

Marcelo Mattar joined the group as a postdoc (Newton International Fellow) in 2018. He received his PhD from the University of Pennsylvania, working with Danielle Bassett and Geoffrey Aguirre. He later joined Princeton as a postdoc with Nathaniel Daw. He studies learning and planning using a combination of theoretical and human behavioral/imaging approaches, with a particular interest in reinforcement learning and Bayesian inference.

Jake Stroud joined the group as a postdoc in 2019. He obtained a BSc in mathematics from the University of East Anglia and an MSc in applied mathematics from Imperial College London. After working as a statistician for the UK Ministry of Defence, he studied for a PhD at the University of Oxford in computational neuroscience. He is interested in modelling cortical circuits using recurrent neuronal networks.

Daniel Acosta-Kane joined the group as a Master's student in 2018. He received a BSc in Physics from Princeton University. He is interested in memory storage and recall, neural network dynamics, and Bayesian decision theory.

Affiliated

Laurence Aitchison was a postdoc in the group between 2016-2018, co-supervised by Guillaume Hennequin, after which he became a visitor. 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.

Gido van de Ven joined the group in 2018 as visiting researcher. He received his PhD from the University of Oxford working with David Dupret, after which he started a postdoc with Andreas Tolias at the Baylor College of Medicine. He integrates insights or concepts from Neuroscience into deep learning models to gain deeper insights in the computational roles of empirical properties of the brain. He has a particular interest in the role of reactivation in memory consolidation.

Alumni

Postdoc

Greg Sotiropoulos, postdoc (2016-2018)
while in the group, worked on quantitative analysis of eye movements

Daniel McNamee, postdoc (Sir Henry Wellcome Fellow) (2015-2017)
while in the group, worked on modularised state-space representations
currently at UCL and Harvard

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 assistant professor at NYU

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

PhD

Dylan Festa, PhD (2012-2016)
while in the group, worked on robust autoassociative memory
currently postdoc at Albert Einstein College in Ruben Coen-Cagli's lab

Yan Wu, PhD (2012-2016)
while in the group, worked on mixed representations in recurrent neural networks
currently at Google DeepMind

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

Master's

Brian Trippe, MPhil (Kellett Fellow) (2016-2017)
while in the group, worked on inferring spike timing-dependent synaptic plasticity rules from in vivo data
currently a graduate student at MIT

David Zoltowski, MPhil (Churchill Scholar) (2015-2016)
while in the group, worked on quantitative models of temporal dynamics in perceptual decision making
currently a graduate student 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
Gergő Csibra	cognitive development	Dept Cognitive Science, Central European University
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