This is a selected list of publications. You can find a full listing of our work on Google Scholar.

2024 / In Press

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    • Goal-directed navigation strategies in humans and deep meta-learning agents
    • Lan, Hunt & Summerfield
    • PsyArXiv
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    • Do humans learn like transformer networks?
    • Pesnot-Lerousseau & Summerfield
    • PsyArXiv
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    • Abrupt and spontaneous strategy switches in neural networks
    • Lowe et al
    • PLOS Computational Biology
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    • Neural networks with fast and bounded units learn flexible task abstractions
    • Bauer et al
    • NeurIPS
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    • Understanding human meta-control and its pathologies using deep neural networks
    • Sandbrink et al
    • PsyArXiv
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    • Early learning of the optimal constant solution in neural networks and humans
    • Rubruck et al
    • arXiv
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    • Zero-shot counting with a dual-stream neural network model
    • Thompson et al
    • Neuron
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    • Modelling cognitive flexibility with deep neural networks
    • Sandbrink & Summerfield
    • Curr. Op. Behav. Sci.
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    • Space as scaffold for temporal generalisation
    • Pesnot-Larrousseau & Summerfield
    • Elife

2023

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    • Control of working memory in a recurrent neural network
    • Piwek et al
    • PLOS Computational Biology
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    • Goal-seeking compresses neural codes for space in the human hippocampus + OFC
    • Muhle-Karbe et al
    • Neuron
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    • Thinking beyond the ventral stream: Comment on Bowers et al.
    • Summerfield et al
    • Behavioral and Brain Sciences
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    • Hebbian context gating for continual learning
    • Flesch et al
    • PLOS Computational Biology
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    • Neural knowledge assembly in humans and deep networks
    • Nelli et al
    • Neuron
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    • Continual task learning in natural and artificial agents
    • Flesch et al
    • TINS

2022

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    • Rich and lazy learning in brains and neural networks
    • Flesch et al
    • Neuron
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    • Hitchhiker’s Guide to the Brain
    • Annals of Improbable Research
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    • Model sharing in the human medial temporal lobe
    • Glitz et al
    • J Neurosci
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    • Curriculum learning for human compositional generalisation
    • Dekker et al
    • PNAS
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    • How do (perceptual) distracters distract?
    • Dumbalska et al
    • PLOS Computational Biology

2021

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    • Neural state space alignment for humans and neural networks.
    • Sheahan et al
    • Neuro
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    • Optimal utility functions under noisy decisions
    • Juechems et al
    • PNAS
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    • Optional stopping in a heteroscedastic world
    • Tickle et al
    • Psychological Review
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    • Normative principles in natural environments
    • Parpart & Summerfield
    • Annual Review of Psychology
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    • A normative account of confirmatory bias in RL
    • Lefevre et al
    • Neural Computation
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    • Hippocampal place cells encode global not local space
    • Duvelle et al
    • Current Biology
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    • Unsupervised concept learning in macaque IT cortex
    • Higgins et al
    • Nature Communications

2020

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    • How can neuroscientists respond to the climate emergency?
    • Aron et al
    • Neuron
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    • Neural mechanisms of selective integration
    • Luyckx et al
    • Cerebral Cortex
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    • Structure learning and the parietal cortex
    • Summerfield et al
    • Prog. Neurobiology
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    • A map of decoy influence in human choice
    • Dumbalska et al
    • PNAS
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    • If deep learning is the answer, what is the question?
    • Saxe et al
    • Nature Reviews Neuroscience
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    • A space of candidate learning rules for deep networks
    • Cao et al
    • NeurIPS

2019

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    • Neural structure mapping during reward learning
    • Luyckx et al
    • Elife
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    • Human noise blindness and suboptimal inference
    • Herce-Castanon et al
    • Nature Comms
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    • Where does value come from?
    • Juechems et al
    • TICS
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    • Causal inference in the multisensory brain
    • Cao et al
    • Neuron
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    • A network for computing value equilibrium
    • Juechems et al
    • Neuron

2018

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    • Gain control explains the effects of distraction
    • Li et al
    • PNAS
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    • Continual learning in minds and machines
    • Flesch et al
    • PNAS

2017

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    • Neuroscience-inspired artificial intelligence
    • Hassabis et al
    • Neuron
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    • Robust averaging protects against neural noise
    • Li et al
    • PLOS Comp. Biol.
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    • Ventromedial PFC encodes cumulative reward
    • Juechems et al
    • Neuron
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    • Decisions in rodents, monkeys and humans
    • Hanks & Summerfield
    • Neuron
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    • Robust sampling of decision information
    • Vandormael et al
    • PNAS
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    • Selective overweighting of numerical magnitudes
    • Spitzer et al
    • Nature Hum Behav
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    • Confidence matching in group decision-making
    • Bang et al
    • Nature Hum Behav

2016

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    • Hierarchical planning in a virtual subway network
    • Balaguer et al
    • Neuron
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    • Encoding of stimulus probability in macaque IT
    • Bell et al
    • Current Biology
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    • Differentiable Neural Computing
    • Graves et al
    • Nature
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    • Feature based attention and expectation
    • Summerfield & Egner
    • TICS
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    • Irrational and optimal economic decisions
    • Tsetsos et al
    • PNAS
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    • Near-optimal integration of approximate number
    • Tickle et al
    • J Cog. Neuro

2015

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    • Feature expectation heightens visual sensitivity
    • Cheadle et al
    • J. Vision
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    • Do humans make good decisions?
    • Tsetsos & Summerfield
    • TICS
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    • Decisions under focused and divided attention
    • Wyart et al
    • J. Neurosci
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    • Two sources of uncertainty in decision-making
    • Michael et al
    • Cerebral Cortex

2014

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    • Adaptive gain control during decision-making
    • Cheadle et al
    • Neuron
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    • Expectation in perceptual decision-making
    • Summerfield & de Lange
    • Nat. Rev. Neurosci
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    • Priming by the variability of visual information
    • Michael et al
    • PNAS
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    • Neural mechanisms of economic commitment
    • Tsetsos et al
    • Elife

2013

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    • Repetition enhancement and suppression in vision
    • de Gardelle et al
    • Cerebral Cortex
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    • Attention sharpens neural codes for expectation
    • Jiang et al
    • J. Neurosci
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    • Overlapping neural patterns for expectations
    • de Gardelle et al
    • Front Hum Neurosci

2012

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    • Expectation sharpens perceptual decisions
    • Wyart et al
    • PNAS
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    • Rhythmic fluctuations in evidence accumulation
    • Wyart et al
    • Neuron
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    • Bridging perceptual and economic decisions
    • Tsetsos et al
    • Front Hum Neurosci

Earlier

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    • Decisions in a rapidly changing environment
    • Summerfield et al
    • Neuron
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    • Robust averaging during perceptual judgement
    • de Gardelle et al
    • PNAS
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    • Economic bias in perceptual decisions
    • Summerfield et al
    • Front Hum Neurosci
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    • Expectation suppression in visual cortex
    • Egner et al
    • J Neurosc
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    • Two mechanisms for task switching in the PFC
    • Hyafil et al
    • J Neurosci
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    • Expectation and adaptation in visual cortex
    • Summerfield et al
    • Nature Neurosci
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    • A neural representation of prior information
    • Summerfield et al
    • Neuron
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    • An information theoretic model of PFC function
    • Koechlin & Summerfield
    • TICS
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    • Predictive codes in the prefrontal cortex
    • Summerfield et al
    • Science