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2021

Koolschijn RS, Shpektor A, Emir UE, Barron HC
Combined fMRI-fMRS dataset in an inference task in humans
10.5287/bodleian:vmJOOm7KD
image of virtual environment, and images of fMRI and fMRI ouputs being read from brain imaging
Quinn AJ, Lopes-Dos-Santos V, Nobre AC, Dupret D, Woolrich M
Instantaneous frequency profiles of theta cycles
A local field potential plotted and the top in black, and plots of six extracted 'intrinctic mode functions' (IMFs) which are oscillatory, each at a different frequency, with amplitude for each changing throughout the plotted period. The bottom plot, IMF 6, theta, is a large and fairly constant amplitude.
Gava GP, McHugh SB, Lefèvre L, Lopes-Dos-Santos V, Trouche S, El-Gaby M, Schultz SR, Dupret D
Topological analysis of hippocampal CA1 co-firing graphs
Example co-firing graph. Each node represents one cell. Each edge represents the co-firing association of one cell pair, color-coded according to their correlation’s sign and width proportional to the edge’s absolute value.
Moeller M, Grohn J, Manohar S, Bogacz R
Behaviour and pupillometry in a bandit task
10.5287/bodleian:VYZgovxVx
graphs
van Swieten MMH, Manohar S, Bogacz R
Effects of hunger on model-based and model-free decision-making
10.5287/bodleian:R5Emr4pov
Stay-switch behaviour at first stage. A) Food deprived participants are more likely to stay after receiving a reward than after reward omission. B) Sated individuals show less model-free behaviour. C) Change in stay probability with food deprivation. Food deprivation increased the tendency to stay after receiving a reward and increased the tendency to switch after reward omission. Error bars represent SEM.
van Swieten MMH, Manohar S, Bogacz R
The effects of hunger on experiential and explicit risk-taking
10.5287/bodleian:2RbJrk9Dy
two bar-charts with error bars

2020

He S, Everest-Phillips C, Brown P, Tan H
EEGs from healthy motor control during neurofeedback training
10.5287/bodleian:9gM209oXo
A sequential neurofeedback-behaviour task, with the neurofeedback reflecting the occurrence of beta bursts quantified in real-time based on EEG measurements over sensorimotor cortex, was used to evaluate the relationship between cortical beta bursts and movement initialisation.
Bogacz R, Litvak V, Oswal A, Little S, Pedrosa D, Herz DM, Patai EZ
Human LFP recordings from STN during sequential conflict task
10.5287/bodleian:DEj58DYPb
Graph showing beta signalled local conflict, and carried over this effect to the next cue in a sequence.
Yeh CH
Analysis of non-linearities in local field potential oscillations
plot showing raw data trace and three processed ones

2019

Bogacz R
Simulations of action inference

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