Andrea Insabato

Andrea Insabato
IDIBAPS August Pi i Sunyer Biomedical Research Institute | IDIBAPS · Division of Clinical and Experimental Neuroscience

PhD

About

23
Publications
7,762
Reads
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204
Citations
Additional affiliations
September 2017 - December 2017
Columbia University
Position
  • Research Associate
February 2013 - present
University Pompeu Fabra
Position
  • PostDoc Position
April 2011 - present
University Pompeu Fabra
Position
  • Research Assistant
Description
  • Percepció i Cognició Audiovisual (Machine Learning and Neurobiology for Engineers)

Publications

Publications (23)
Article
Full-text available
Recent resting-state functional MRI studies in stroke patients have identified two robust biomarkers of acute brain dysfunction: a reduction of inter-hemispheric functional connectivity between homotopic regions of the same network, and an abnormal increase of ipsi-lesional functional connectivity between task-negative and task-positive resting-sta...
Article
Full-text available
Traditional gender roles that define what is feminine and masculine also imply that men have higher social status than women. These stereotypes still influence how people interact with each other and with computers. Touch behaviour, essential in social interactions, is an interesting example of such social behaviours. The Midas touch effect describ...
Preprint
Full-text available
Recent resting-state fMRI studies in stroke patients have identified two robust biomarkers of acute brain dysfunction: a reduction of inter-hemispheric functional connectivity (FC) between homotopic regions of the same network, and an abnormal increase of ipsilesional FC between task-negative and task-positive resting-state networks (RSNs). Whole-b...
Article
Full-text available
Learning in neuronal networks has developed in many directions, in particular to reproduce cognitive tasks like image recognition and speech processing. Implementations have been inspired by stereotypical neuronal responses like tuning curves in the visual system, where, for example, ON/OFF cells fire or not depending on the contrast in their recep...
Article
Full-text available
Neuroimaging techniques are now widely used to study human cognition. The functional associations between brain areas have become a standard proxy to describe how cognitive processes are distributed across the brain network. Among the many analysis tools available, dynamic models of brain activity have been developed to overcome the limitations of...
Chapter
Neuroimaging-based personalized medicine is emerging to characterize brain disorders and their evolution at the patient level. In this chapter, we present the most classic methods used to infer large-scale brain connectivity based on functional MRI. We adopt a modeling perspective where every connectivity measure is linked to a specific model that...
Preprint
Full-text available
Learning in neuronal networks has developed in many directions, in particular to reproduce cognitive tasks like image recognition and speech processing. Implementations have been inspired by stereotypical neuronal responses like tuning curves in the visual system, where, for example, ON/OFF cells fire or not depending on the contrast in their recep...
Preprint
Full-text available
The concept of brain states, functionally relevant large-scale patterns, has become popular in neuroimaging. Not all components of such patterns are equally characteristic for each brain state, but machine learning provides a possibility of extracting the structure of brain states from functional data. However, the characterization in terms of func...
Preprint
Full-text available
Estimation of reliable whole-brain connectivity is a crucial step towards the use of connectivity information in quantitative approaches to the study of neuropsychiatric disorders. When estimating brain connectivity a challenge is imposed by the paucity of time samples and the large dimensionality of the measurements. Bayesian estimation methods fo...
Article
Full-text available
The study of brain communication based on fMRI data is often limited because such measurements are a mixture of session-to-session variability with subject- and condition-related information. Disentangling these contributions is crucial for real-life applications, in particular when only a few recording sessions are available. The present study aim...
Preprint
Full-text available
The study of brain communication based on fMRI data is often limited because such measurements are a mixture of session-to-session variability with subject- and condition-related information. Disentangling these contributions is crucial for real-life applications, in particular when only a few recording sessions are available. The present study aim...
Research
Full-text available
http://www.investigacionyciencia.es/revistas/investigacion-y-ciencia/numero/485/saben-los-animales-que-piensan-lo-que-piensan-14926
Article
Full-text available
Author Summary Recently many studies began to investigate the brain signature of complex cognitive functions such as decision confidence, the feeling of certainty/uncertainty associated with a decision. To this aim, the uncertain option task has been widely adopted in order to assess the confidence in animals. In this study we present a model, deta...
Article
Full-text available
Humans have a remarkable ability to reflect upon their behavior and mental processes, a capacity known as metacognition. Recent neurophysiological experiments have attempted to elucidate the neural correlates of metacognition in other species. Despite this increased attention, there is still no operational definition of metacognition and the abilit...
Article
Full-text available
Models that integrate sensory evidence to a threshold can explain task accuracy, response times and confidence, yet it is still unclear how confidence is encoded in the brain. Classic models assume that confidence is encoded in some form of balance between the evidence integrated in favor and against the selected option. However, recent experiments...
Article
Full-text available
Author Summary Understanding how the brain produces complex cognitive functions has been a crucial question since ancient philosophical inquiries. The encoding of decision difficulty in the brain is fundamental for complex and adaptive behaviour, and can provide valuable information in uncertain environments where the future outcome of a choice mus...
Article
Full-text available
Decision making is a process of utmost importance in our daily lives, the study of which has been receiving notable attention for decades. Nevertheless, the neural mechanisms underlying decision making are still not fully understood. Computational modeling has revealed itself as a valuable asset to address some of the fundamental questions. Biophys...
Article
Full-text available
Decision confidence, the degree of certainty to which a subject believes his choice is correct, is an emerging subject in neuroscience. On one hand it is a fundamental component of our subjective conscious experience. On the other hand it is crucial to many cognitive functions like action planning and learning. In the past the speed accuracy trade-...
Article
Full-text available
Neurons have been recorded that reflect in their firing rates the confidence in a decision. Here we show how this could arise as an emergent property in an integrate-and-fire attractor network model of decision making. The attractor network has populations of neurons that respond to each of the possible choices, each biased by the evidence for that...

Questions

Question (1)
Question
We are organizing, together with Matthieu Gilson, Adrià Tauste and Gorka Zamora-López, a Hands-on course on neural data science, in the frame of the XIII Summer School in Statistics at UPC-UB (Barcelona, Spain).
The course will cover statistics, time series modelling, machine learning and graph theory. The students will develop a data-driven project throughout the course to understand how these different tools can work together to analyse brain data. Reach out if you have any question!
When: July 1st to 5th from 3:00 PM to 6:00 PM
Where: Barcelona, UPC campus

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