Brain & Mind Computational Breakfast

A monthly breakfast and venue for informal conversation about topics such as artificial intelligence, neuroscience, human behaviour, and digital humanities. Welcome!
NB. The December edition will be held on Dec 17.
Photos of the Brain & Mind seminar November speakers.

Next seminar: Tuesday, 12 November

 

Topics and speakers:

New Approaches for Analyzing Multivariate and Infinite Dimensional Data

Pauliina Ilmonen, Assistant Professor, Statistics, Department of Mathematics and Systems Analysis, Aalto University

In modern data analysis, we often have to deal with very complicated observations. Dimensions can be very large and contain complicated dependency structures. Observation may be e.g. images, bits, colors, or functions. Classical statistical methods that rely on normality and i.i.d. observations can give faulty results or are at least inefficient for analyzing modern data. We approach this problem in three ways:

  1. We develop new methods for modelling multivariate extreme values. We provide new estimators for multivariate tail indices and multivariate extreme quantiles.
  2. We consider general location-scatter-models and invariant coordinate selection – methods that do not rely on normality assumptions and can be applied for analyzing multivariate and even tensor-valued observations.
  3. We develop new nonparametric methods for analyzing infinite dimensional – functional – observations.  We consider outlier detection and different types of classification and clustering problems.

 

Attentive Futures: Cognition under Control 

Juha Salmitaival, PhD, Academy Research Fellow, Department of Neuroscience and Biomedical Engineering, Aalto University School of Science
Senior Research Fellow, Turku Institute for Advanced Studies, University of Turku
Clinical psychologist (neuropsychology), 
ProNeuron, Espoo

It is estimated that most of the information ever produced by mankind is just a few years old. This change in the amount of available, and also potentially relevant information has been incredibly fast, while our brain and its very limited ability to handle new information has gradually developed during evolution under very different circumstances. The limitations in attention and executive skills are exacerbated in various clinical conditions (ADHD, autism, burn-out, depression, dementias) with rapidly increasing prevalence rates. Current health care relies on effortful, expensive, subjective, and inaccurate methods that cannot be provided for everybody in the need. I will introduce some new clinically and neuroscientifically motivated health tech solutions (online testing, mobile apps, VR games) that aim to advance the assessment and treatment of attention deficits in multiple ways. These systems provide massive amounts of reliable cognitive testing data, but unlike in other fields in computational psychiatry (symptoms data, digital phenotyping), neuroimaging or neurogenetics, there are only few researchers developing advanced computational methods for cognitive testing purposes. Cognitive testing data might be even particularly for data mining purposes because it is reliable and objectively measured (unlike symptoms data), and directly measures actual behavior (unlike neuroimaging and genetics data). Could we build together the road for individualized treatments supporting attentive futures?

 

 

Dates and Speakers after November

17 December (note the date exception!)
Matti Hämäläinen, Timo Roine

 

NB! The talks begin at 9:30. Breakfast is served on a first-come-first-serve basis at 9:15.

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Past Talks

Brain & Mind Computational Breakfast

A monthly breakfast and venue for informal conversation about artificial intelligence, neuroscience, human behavior, digital humanities. Read more!

Department of Neuroscience and Biomedical Engineering
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