Lecturer: T. Burwick
Language: English
Time and place: Friday 13:15 - 15:15, FIAS 0|100

Description

Brain dynamics is described at the level of single neurons, microcircuits, and global cortical dynamics. Beginning from the discussion of harmonic oscillators, we introduce the basic knowledge needed to describe spiking dynamics of neurons. This is then used to classify neurons according to different spiking behaviors. We then describe universal architectural aspects of microcircuits that connect the single neurons into functional substructures. Finally, we describe generation, stability, and possible functionality of cortical oscillations in the so-called gamma range. The latter are observed in the context of cognitive processing.

Lecturer: T. Burwick
Language: English
Time and place: Friday 13:15 - 15:00, FIAS 0|100

Description

The course gives an introduction to structure, dynamics and function of the visual system. The course aims at connecting the physiological level of cortical microcircuits and anatomy with the psychological level of visual cognition. Without going into mathematical details itself, the course is meant to provide a useful basis for knowledgeable mathematical and computational modelling of visual processing.

Lecturer: T. Burwick
Language: English
Time and place: Friday 13:15 - 15:15, FIAS 0|100

Description

The course gives an introduction to structure, dynamics and function of the visual system. It aims at connecting the physiological level of cortical microcircuits and anatomy with the psychological level of visual cognition. Without going into mathematical details itself, the course is meant to provide a useful basis for knowledgeable mathematical and computational modelling of visual processing.

Lecturer: T. Burwick
Language: English
Time and place: Friday 11:15 - 12:00, FIAS 0|200

Description

Attention is a process that is at the core of cognition and consciousness. The course gives an overview of research on visual attention from the pioneering studies in the 1950s to the well-developed field of today. Computational models of visual attention are presented that aim at understanding a large number of classical results. Thereby, the course will also cover aspects of working memory and fundamentals of perception such as binding of features into objects.

Lecturer: T. Burwick
Language: English
Time and place: Thursday 11:00 - 12:00, FIAS 0|200

Description

Synchronization has been called "a universal concept in nonlinear sciences" (e.g., Pikosky, Rosenblum, Kurths, 2003). Apart from classical examples of synchronization in celestial mechanics, physical systems like laser arrays, Josephson-junctions, cardiac rhythms and neural systems show phenomena that may be described through oscillatory networks with synchronization. In this lecture, we give an introduction to this topic with special emphasis on issues that arise in the context of oscillatory neural networks.