BAMB! 2023 will take place from July 19 - 27, 2023. For more information please see: www.bambschool.org.

BAMB! teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab.

The course is intended for PhD students and postdocs in cognitive and computational neuroscience with  solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply.

Dates and location: July 19 - 27, 2023, downtown Barcelona, Spain

Organizers:

Alex Hyafil (CRM, Barcelona)
Marion Rouault (Paris Brain Institute)
Heike Stein (ENS Paris)
Chris Summerfield (Oxford / Deepmind)
Klaus Wimmer (CRM, Barcelona)

BAMB! 2022 will take place from Sept 1 to Sept 8, 2022. For more information please see: www.bambschool.org.

BAMB! is an EMBO Practical Course that teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab.

The course is intended for PhD students and postdocs in cognitive and computational neuroscience with  solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply.

Dates and location: September 1-8 2022, downtown Barcelona, Spain

Organizers:

Chris Summerfield (Oxford / Deepmind)
Klaus Wimmer (CRM, Barcelona)
Alex Hyafil (UPF/CRM, Barcelona)

BAMB! 2020 will take place from Sept 2 to Sept 9, 2020. For more information please see: www.bambschool.org.

BAMB! teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab.

The course is intended for PhD students and postdocs in cognitive and computational neuroscience with  solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling).Female scientists and scientists from underrepresented countries are especially encouraged to apply.

Dates and location: September 2-9, downtown Barcelona, Spain

Organizers:

Chris Summerfield (Oxford / Deepmind)
Klaus Wimmer (CRM, Barcelona)
Alex Hyafil (UPF/CRM, Barcelona)

It is our pleasure to announce a Hands-on course on neural data science. The course is part of the XIII Summer School in Statistics organized by the Facultat de Matemàtiques i Estadística (Universitat Politècnica de Catalunya, UPC) and the Universitat de Barcelona (UB).

Venue: UPC campus in Barcelona (Spain)

Dates: 1st to 5th of July 2019.

Course Description: (https://mesioupcub.masters.upc.edu/en/xiii-summer-school-2019/courses/hands-on-course-on-neural-data-science-july-1st-to-5th)

The course focuses on several aspects of data science applied to data recorded from the brain: statistical modeling, graph theory, statistical analysis and machine learning. The course is based on a learn-by-coding philosophy: the students will develop a data-driven project throughout the course to understand and apply some of the taught techniques under the supervision of the teachers. Many methods explained during this course can be applied to different data outside brain sciences, so previous experience in neuroscience is not required.

The course includes statistical modeling of time series, graph theory (with GAlib package) and machine learning (with scikit-learn package).

Registration: https://mesioupcub.masters.upc.edu/en/xiii-summer-school-2019/xiii-summer-school-2019

For further information, you can contact gestio.summerschool.fme@upc.edu

Organizers and Instructors:
Andrea Insabato, Adrià Tauste, Matthieu Gilson and Gorza Zamora-López

Applications to the new Barcelona summer school for Advanced Modelling of Behavior (BAMB!) are open until June 3rd. Please see the course website for further details: www.bambschool.org.

BAMB! teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab.

The course is intended for PhD students and postdocs in cognitive and computational neuroscience with  solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling).Female scientists and scientists from underrepresented countries are especially encouraged to apply.

Dates and location: September 4-10, downtown Barcelona, Spain

Organizers:

Chris Summerfield (Oxford / Deepmind)
Klaus Wimmer (CRM, Barcelona)
Alex Hyafil (UPF/CRM, Barcelona)

Confirmed Faculty:
Jean Daunizeau (ICM, Paris)
Alex Hyafil (UPF/CRM, Barcelona)
Kerstin Preuschoff (Geneva)
Alfonso Renart (Champalimaud)
Maneesh Sahani (UCL)
Chris Summerfield (Oxford / Deepmind)
Klaus Wimmer (CRM, Barcelona)
Angela Yu (UC San Diego)

The summer school benefits from the generous support of the William K. and Katherine W. Estes Fund, from the Sociedad Española de Neurociencia and from the Centre de Recerca Matemática.

The Barcelona Cognition Brain and Technology is an annual international summer school that promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. This school addresses students and researchers involved in research at the interface between brains and technology such as in the ambit of "Bio-ICT convergence" "Brain Inspired ICT" and "cognitive systems and robotics".

Students will have the opportunity to attend lectures from prominent scientists in the field of brain research, cognitive science and neuroscience, artificial intelligence and related fields. Students will also attend tutorials and work on projects that will be presented at the end of the 2 weeks of the summer school.

Programme committee

Paul Verschure IBEC, ICREA, Barcelona, Spain
Tony Prescott University of Sheffield, UK
Anna Mura IBEC, Barcelona, Spain

In collaboration with

- Viktoria Tipotsch, HBP Education Programme, Medical University Innsbruck, Austria

It is our pleasure to announce a Hands-on course on neural data science. The course is part of the XIII Summer School in Statistics organized by the Facultat de Matemàtiques i Estadística (Universitat Politècnica de Catalunya, UPC) and the Universitat de Barcelona (UB).

Venue: UPC campus in Barcelona (Spain)

Dates: 1st to 5th of July 2019.

Course Description: (https://mesioupcub.masters.upc.edu/en/xiii-summer-school-2019/courses/hands-on-course-on-neural-data-science-july-1st-to-5th)

The course focuses on several aspects of data science applied to data recorded from the brain: statistical modeling, graph theory, statistical analysis and machine learning. The course is based on a learn-by-coding philosophy: the students will develop a data-driven project throughout the course to understand and apply some of the taught techniques under the supervision of the teachers. Many methods explained during this course can be applied to different data outside brain sciences, so previous experience in neuroscience is not required.

The course includes statistical modeling of time series, graph theory (with GAlib package) and machine learning (with scikit-learn package).

Registration: https://mesioupcub.masters.upc.edu/en/xiii-summer-school-2019/xiii-summer-school-2019

For further information, you can contact gestio.summerschool.fme@upc.edu

Organizers and Instructors:
Andrea Insabato, Adrià Tauste, Matthieu Gilson and Gorza Zamora-López