The summer school is project oriented.
A significant amount of time will be dedicated to applying the knowledge acquired during the school – and hopefully before – to realize pilot studies using different tools and technologies.
All registered students will work in small teams – including senior participants – to complete a project by the end of the school. Projects can be chosen from a list of predefined projects (see below) or proposals can be made on the first day of the school. Everybody is invited to bring their own equipment and tools.
These projects are supposed to be realizing new ideas which are inspired by research related to several EU project such as EASEL, http://easel.specs-lab.com, WYSIWYD http://wysiwyd.specs-lab.com, CDAC http://specs.specs-lab.com/projects/2810, and Neuro-Rehabilitation http://specs.specs-lab.com/research_in_neurorehabilitation
School Awards: there is a prize for the best project.
See last year’s projects at: BCBT2017
1. Effect of emotion on memory formation
Problem: How context and item-specific memories are affected by high (positive) valence is not well understood.
What we are going to do: Examine the effects of emotion an item and associative memory, manipulating emotional affect through the use of negative, positive or neutral images
SKILLS: Programming knowledge of any language. Basic knowledge of Python is a plus.
SUPERVISOR: Daniel Pacheco, Riccardo Zucca
2. Robot ecosystems: Building models for multiagents interactions.
Goal: Extending and adapting DAC theories for social interaction of multiple robots in a survival task.
– Using cerebellum models to anticipate self-regulatory conflicts
– Using hippocampal models for predicting other’s actions
– Interfacing robot simulations with the actual robots
– Interfacing DAC models with MALMO’s Minecraft API
SKILLS: C++, python
SUPERVISOR: Jordi-Ysard Puigbò, Vicky Vouloutsi
3. The relationship between learned helplessness and agency/body ownership
In this project, we will look at whether loss of response-outcome coupling low expected contingencies might lead to learned helplessness affects agency and body ownership.
Goal: Examine the relationship between learned helplessness and agency/body ownership
Task: Design, programme and conduct a behavioral experiment with healthy participants
SKILLS: interest in experimental work, basic programming (Unity, C#) and statistics
SUPERVISOR: Klaudia Grechuta, Martina Maier.
4. Stroke rehabilitation using virtual reality: dealing with rehabilitation treatment gamification.
A contribution to the Rehabilitation Gaming System RGS. http://specs.specs-lab.com/research_in_neurorehabilitation.
a virtual reality (VR)-based neuro-rehabilitation tool, developed at SPECS, for the treatment of motor, cognitive and language deficits after a stroke. RGS incorporates various principles that are based on neuronal mechanisms underlying motor and cognitive recovery after brain damage, and on the knowledge of how effective training has to be structured and personalized. RGS offers a gaming environment that provides a multimodal, task-specific training in virtual reality scenarios.
Goal: gamify a measurement tool that is used to assess the mobility/deficit of the arm, using wearables (IMU) and virtual reality
Task: Designing and programming the game, evaluating the usability (questionnaires), testing it and analyzing data
SKILLS: we would need someone with good Unity skills, people interested in experimental work, basic statistics
SUPERVISOR: Elise Olivier, Belen Rubio.
5. Evaluation of metacognitive abilities in an uncertain collaborative task
Motivation: Extending current study on agent predictability and collaboration strategies
Goal: Evaluating differences in metacognitive abilities depending on the predictability of the other player
Tasks: – Experimental (re)design, Programming / development, Evaluation + Analysis
SKILLS: Python, Statistics Number of people needed: 3-5
SUPERVISOR: Maria Blancas, Giovanni Maffei