Frontiers of Neuromorphic Computing
2023-09-05 - 2023-09-07 | Max Planck Institute for the Science of Light, Staudtstr. 2, Erlangen, 91058, Germany
The recent explosion of deep learning applications imposes an urgent need for new energy-efficient alternative neuromorphic hardware concepts running at high speeds and relying on a high degree of parallelism. In this workshop, we will explore this rapidly developing area of (classical) neuromorphic computing over a range of scalable platforms, both on a theoretical and experimental level. These platforms include systems in the domains of optics, integrated photonics, spin systems, semi- and superconducting systems, soft matter, and others. In addition, new physical learning approaches will be discussed.
The in-person workshop will start on 5 September at 9 am and end on 7 September at approximately 5:30 pm. There will be invited talks, contributed talks, a poster session and a panel discussion. On Wednesday, we will organise a conference dinner which is included in the registration fee.

HBP Concluding Event - Pioneering digital brain research
2023-09-12 - 2023-09-13 | Forschungszentrum Jülich, Wilhelm-Johnen-Straße, Jülich, 52428, Germany
From September 12 – 13, 2023, the Human Brain Project will celebrate its successful conclusion with a public scientific symposium at Forschungszentrum Jülich. In addition to the international project partners, representatives from politics and the media are cordially invited to attend.
In short presentations, researchers from the Human Brain Project will highlight the project’s achievements. The symposium will be accompanied by scientific exhibits, an impressive picture gallery and hands on trainings. In guided tours guests can explore the laboratories and facilities of Forschungszentrum Jülich and get insights into the practical work behind the Human Brain Project.

Bernstein Conference 2023
2023-09-26 - 2023-09-29 | Humboldt Universität, Luisenstraße 56, Berlin, 10115, Germany
Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries.
Alongside the conference, there will also be multiple satellite workshops, such as: “Biologically plausible learning in artificial neural networks”, “How can machine learning be used to generate insights and theories in neuroscience?”, and “Brain inspiration in neuromorphic computing”. For more information, see https://bernstein-network.de/bernstein-conference/program/satellite-workshops/.
For more information, see the website: https://bernstein-network.de/en/bernstein-conference/.

Giulia D’Angelo: What’s catching your eye? The visual attention mechanism
2023-09-26 18:00 - 19:30 (Europe/Berlin) | Online
Abstract
Every agent, whether animal or robotic, needs to process its visual sensory input in an efficient way, to allow understanding of, and interaction with, the environment. The process of filtering revelant information out of the continuous bombardment of complex sensory data is called selective attention. Visual attention is the result of the complex interplay between bottom-up and top-down mechanisms to perceptually organise and understand the scene. Giulia will describe how to approach visual attention using bio-inspired models emulating the human visual system to allow robots to interact with their surroundings.
Speaker’s bio
Giulia D’Angelo is a postdoctoral researcher in neuroengineering in the EDPR laboratory at the Italian Institute of Technology. She obtained a B.Sc. in biomedical engineering and an M.Sc. in neuroengineering, developing a neuromorphic visual system at the King’s College of London. She successfully defended her Ph.D. VIVA in 2022 at the university of Manchester, proposing a biologically plausible model for event-driven saliency-based visual attention. She is currently working on bio-inspired visual algorithms exploiting neuromorphic platforms.
