Theoretical Courses

Cognitive Neuroscience - Neuropsychology

The aim of the Cognitive Neuroscience - Neuropsychology course will be to show how the investigation of people with impairments of cognition may help to learn more about normal cognitive processes and their neural signatures. It will focus on behavioral, neuroimaging and neuroanatomical studies on special population in human adults.

Colloquium by Karen Vogtmann

Many phenomena in mathematics and science can be modeled by drawing finite networks whose nodes are connected by edges with specified lengths. After imposing various natural constraints, the set of all such models forms a geometric space, with one point for each possible model. Although some properties of these spaces are easy to verify (such as the fact that they are connected), deeper aspects (such as whether they have “holes” of various dimensions) remain quite mysterious and are the focus of much current mathematical activity.

How the Brain Tells Time

This course will offer an overview of the state of the art of the neuroscience of time, from theoretical models to empirical data. Particular emphasis will be given to the perception of time. 

Introduction to Systems and Computational Neuroscience: Evolution of Neural Computation

The course delineates the evolution of the vertebrate nervous systems, with a particular focus on mammals and among them on the human lineage.

Introduction to Systems and Computational Neuroscience: Tactile Perception

This course focuses on the basic principles of organization of the sensory pathways and their target regions of cerebral cortex.

Introduction to Systems and Computational Neuroscience: Visual Perception

The course focuses on the structure and functions of the mammalian visual systems, with a special emphasis on shape processing and object recognition.

Language, Reading and the Brain

This course offers an introduction to how the brain deals with language and reading by focusing on the relationship between form and meaning -- is it arbitrary or not? Is it all about one-to-one associations, or are there probabilistic, high-dimensional patterns that the brain captures?

Learning, Inference, and Prediction in the Brain

This course is an introduction to the brain as a predictive organ. The brain learns about its environment and infers the state of that environment in order to predict it, which will help ensure its own survival.

Stochastic Thermodynamics and Thermodynamics of Information

We are pleased to announce that Prof. Luca Peliti will give six classes on Stochastic Thermodynamics and Thermodynamics of Information each morning Friday between 11 am and 1 pm starting from 20th April 2018.

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