The course provides an introduction to the functional properties of neurons. Particularly the description of membrane electrical properties (action potentials, channels), neuronal anatomy, synaptic structures, and neuronal networks. Simple models of computation, learning, and behavior will be explained. Some artificial systems (robot, chip) are presented.

No description available.

This course focuses on neural computations that underlie visual perception. We study how visual signals are processed in the retina, LGN and visual cortex. We study the morpholgy and functional architecture of cortical circuits responsible for pattern, motion, color, and three-dimensional vision.

The course is focuses on the computations performed by neural elements and assemblies. We study computations performed by individual neurons, and those achieved by networks of interconnected neurons. This course is complemented by the course “Systems Neuroscience”.

Thirteen major areas of research have been selected, which cover the key concepts that have led to our current ideas of how the nervous system is built and functions. We will read both original papers and explore the conceptual the links between them and discuss the 'sociology' of science, the pursuit of basic science questions over a century of research."

Plant Biology: Water balance, assimilation and transport in plants; developmental biology and stress physiology.Neurobiology: Development and function of the nervous system, visual processing, human amnesia, theories of human and animal memory.Immunology: Introduction into the fundamental mechanisms of our immunological defence system.

Development and function of the nervous system. The machinery and functional mechanisms of the brain that enable us to learn, including some specific computation theories. Basic concepts and methods in behavioural neurobiology, including the brain’s regulation of emotion and cognition, and the contribution of environment and genotype to brain-behaviour function and psychiatric diseases.

Consolidation of practical work in the lab with theory and literature background. Integraion of the students in ongoing research projects in the field of neuromorphology (regeneration and plasticity of the nervous system, molekular mechanisms of axonal growth, neural stem cells) and molecular cognition (genetic mouse models, molekular and cellular mechanisms of learning and memory).

Introduction to experimental methods in neuroscience with examples from neuronal information processing, genexpression and genregulation in neural systems,and the neuro psycho pharmacology of behavior.

This course complements the course “Neural computation”. It focuses on the computations performed by neural populations to achieve specific motor and cognitive tasks.