Publication

Social reward improves the voluntary control over localized brain activity in fMRI-based neurofeedback training

Related publications (40)

Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush

Neurofeedback based on real-time fMRI is an emerging technique that can be used to train voluntary control of brain activity. Such brain training has been shown to lead to behavioral effects that are specific to the functional role of the targeted brain ar ...

Elsevier2013

Plastic modifications within inhibitory control networks induced by practicing a stop-signal task: an electrical neuroimaging study

Fosco Bernasconi

Inhibitory control refers to our ability to suppress ongoing motor, affective or cognitive processes and mostly depends on a fronto-basal brain network. Inhibitory control deficits participate in the emergence of several prominent psychiatric conditions, i ...

2013

Elucidating the role of neuron-astrocyte metabolic coupling in learning and memory

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The brain has very high energy demands that are mainly met by the circulating blood glucose to ensure its proper functioning. Thus, it is not surprising that though the human brain weighs only 2- 3% of the body weight, it consumes approximately 25% of tota ...

EPFL2013

The timing of exploratory decision-making revealed by single-trial topographic EEG analyses

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Nicolas Bourdaud, Micah Murray, Athina Tzovara

Decision-making in an uncertain environment is driven by two major needs: exploring the environment to gather information or exploiting acquired knowledge to maximize reward. The neural processes underlying exploratory decision-making have been mainly stud ...

Elsevier2012

Noise in brain activity engenders perception and influences discrimination sensitivity

Fosco Bernasconi, Athina Tzovara

Behavioral and brain responses to identical stimuli can vary with experimental and task parameters, including the context of stimulus presentation or attention. More surprisingly, computational models suggest that noise-related random fluctuations in brain ...

Society for Neuroscience2011

Incentives for Answering Hypothetical Questions

Boi Faltings, Radu Jurca

Prediction markets and other reward mechanisms based on proper scoring rules can elicit accurate predictions about future events with public utcomes. However, many questions of public interest do not always have a clear answer. For example, facts such as t ...

2011

Robot Reinforcement Learning using EEG-based reward signals

Inaki Asier Iturrate Gil

Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These reward signals are usually modeled by the programmer or provided by supervision. However, ...

2010

Motor intention in the posterior parietal cortex

Jugoslava Acimovic

The complexity of processes occurring in the brain is an intriguing issue not just for scientists and medical doctors, but the humanity in general. The cortex ability to perceive and analyze an enormous amount of information in an instance of time, the par ...

EPFL2008

Risk and Reward Perception in the Human Brain

Anjali Devi Vanapilli Nursimulu

The recent spate of neuroimaging studies on decision-making under uncertainty has provided converging evidence of a spatio-temporal dissociation of risk and expected reward encoding in the human brain. While this research has demonstrated widespread hemody ...

University of Zurich2007

Spatial learning and navigation in the rat

Ricardo Andres Chavarriaga Lozano

Animals behave in different ways depending on the specific task they are required to solve. In certain cases, if a cue marks the goal location, they can rely on simple stimulusresponse associations. In contrast, other tasks require the animal to be endowed ...

EPFL2005

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