What's Catching Your Eye? the Visual Attention Mechanism

Delve into the world of visual attention mechanisms with Giulia D'Angelo as she explores the interplay of bottom-up and top-down processes, offering insights into bio-inspired models for enhanced robotic perception and interaction.

  • Giulia D'Angelo
  • September 26, 2023

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.

~ Share this Site ~

Upcoming Workshops

Project Phasor - Kickoff
Brian Anderson
2025, Jan 28    19:00 - 20:00 CET
What's Catching Your Eye? The Visual Attention Mechanism

About the Speaker

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.

Evolutionary Optimization for Neuromorphic Systems

Evolutionary Optimization for Neuromorphic Systems

  • Catherine Schuman
  • 2023, March 21

Dive into evolutionary optimization techniques for neuromorphic systems with Catherine Schuman, an expert in the field. Watch the recorded workshop for valuable insights.

PEPITA - A Forward-Forward Alternative to Backpropagation

PEPITA - A Forward-Forward Alternative to Backpropagation

  • Giorgia Dellaferrera
  • 2023, February 14

Explore PEPITA, a forward-forward approach as an alternative to backpropagation, presented by Giorgia Dellaferrera. Learn about its advantages and implementation with PyTorch.

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks

  • Aaron Spieler
  • 2024, February 27

Aaron tells us about the Expressive Leaky Memory (ELM) neuron model, a biologically inspired phenomenological model of a cortical neuron.