The 10th ACME Research Seminar
The members of the 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group conducted the 10th Research Seminar dedicated to temporal aspects of the traditional Posner cueing paradigm.
ACME Java Workshop: Session 4
The forth session of the Java Workshop organized by the 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group took place on October 19, at the School of Psychology.
ACME Java Workshop: Session 3
The third session of the Java Workshop organized by the 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group took place on October 5, at the School of Psychology.
The 9th ACME Research Seminar
The 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group conducted the 9th Research Seminar
ACME Java Workshop: Session 2
The second session of the Java Workshop organized by the 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group took place on September 28, at the School of Psychology.
ACME Java Workshop: Session 1
The first session of the Java Workshop organized by the 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group took place on September 21, at the School of Psychology.
The 8th ACME Research Seminar
The 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group conducted the 8th Research Seminar
The ACME members took part in ECVP 2017
The 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group members paticipated in The 40th European Conference on Visual Perception, ECVP 2017.
A Workshop on Scientific Poster and Presentation Design: Part 2
The 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group conducted the second workshop for data visualization design.
The 7th ACME Research Seminar
The 'Attention, Computational Models and Eye Movements' (ACME) Research and Study Group conducted the 7th Research Seminar dedicated to genetic algorithms for leaky integrate and fire layer of the saliency model.