Concept

Neurosciences

Cours associés (32)

BIO-480: Neuroscience: from molecular mechanisms to disease

The goal of the course is to guide students through the essential aspects of molecular neuroscience and neurodegenerative diseases. The student will gain the ability to dissect the molecular basis of

BIOENG-456: Controlling behavior in animals and robots

Students will acquire an integrative view on biological and artificial algorithms for controlling autonomous behaviors. Students will synthesize and apply this knowledge in oral presentations and comp

BIOENG-451: Scientific literature analysis in neuroscience

The goal of this course is to learn to analyze a scientific paper critically, question if the data support the conclusions, and produce constructive referee reports in written or oral form. The papers

BIO-493: Scientific project design in integrative neurosciences

This course will provide a forum in which students engage themselves in learning how to design an integrative neuroscience research project that bridges scales to allow a causal mechanistic analysis o

BIO-483: Neuroscience: behavior and cognition

The goal is to guide students into the essential topics of Behavioral and Cognitive Neuroscience. The challenge for the student in this course is to integrate the diverse knowledge acquired from those

BIO-670(1): Lectures in Life Sciences 1

To expose PhD students to cutting-edge research in the life sciences through attendance of plenary-style lecture series given by external world experts. The objectives are to broaden the knowledge of

BIO-670(2): Lectures in Life Sciences 2

To expose PhD students to cutting-edge research in the life sciences through attendance of plenary-style lecture series given by external world experts. The objectives are to broaden the knowledge of

BIO-482: Neuroscience: cellular and circuit mechanisms

This course focuses on the biophysical mechanisms of mammalian brain function. We will describe how neurons communicate through synaptic transmission in order to process sensory information ultimately

NX-450: Computational neurosciences: biophysics

The course introduces students to a synthesis of modern neuroscience and state-of-the-art data management, modelling and computing technologies with a focus on the biophysical level.

NX-421: Neural signals and signal processing

Understanding, processing, and analysis of signals and images obtained from the central and peripheral nervous system

NX-435: Systems neuroscience

The course "Systems Neuroscience" explores neural circuits and networks to understand how groups of neurons process information and generate behavior. It integrates techniques from neurophysiology, an

BIO-369: Randomness and information in biological data

Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to

BIO-501: Lab immersion I

Engaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.

BIO-502: Lab immersion II

Engaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.

BIO-503: Lab immersion III

Engaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.

BIO-506: Lab immersion in industry

Engaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.

CH-603: Basic principles of drug action at the nervous system

The aim of this course is two-fold: i) to describe the molecular properties of some important drug targets ii) to illustrate some applications of drugs active at the nervous system

NX-423: Translational neuroengineering

This course integrates knowledge in basic, systems, clinical and computational neuroscience, and engineering with the goal of translating this integrated knowledge into the development of novel method

BIOENG-310: Neuroscience foundations for engineers

This overview course bridges computational expertise with neuroscience fundamentals, aimed at fostering interdisciplinary communication and collaboration for engineering-based neuroscience programs.

HUM-256: Brain, mind and society

Ce cours aborde les sujets relatifs aux recherches sur les bases cérébrales des actions humaines, en revenant notamment sur l'histoire du cerveau, les changements actuels liés au développement des neu

Cours associés (32)

BIO-480: Neuroscience: from molecular mechanisms to disease

The goal of the course is to guide students through the essential aspects of molecular neuroscience and neurodegenerative diseases. The student will gain the ability to dissect the molecular basis of

BIOENG-456: Controlling behavior in animals and robots

BIOENG-451: Scientific literature analysis in neuroscience

BIO-493: Scientific project design in integrative neurosciences

BIO-483: Neuroscience: behavior and cognition

BIO-670(1): Lectures in Life Sciences 1

To expose PhD students to cutting-edge research in the life sciences through attendance of plenary-style lecture series given by external world experts. The objectives are to broaden the knowledge of

BIO-670(2): Lectures in Life Sciences 2

To expose PhD students to cutting-edge research in the life sciences through attendance of plenary-style lecture series given by external world experts. The objectives are to broaden the knowledge of

BIO-482: Neuroscience: cellular and circuit mechanisms

NX-450: Computational neurosciences: biophysics

The course introduces students to a synthesis of modern neuroscience and state-of-the-art data management, modelling and computing technologies with a focus on the biophysical level.

NX-421: Neural signals and signal processing

Understanding, processing, and analysis of signals and images obtained from the central and peripheral nervous system

NX-435: Systems neuroscience

BIO-369: Randomness and information in biological data

Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to

BIO-501: Lab immersion I

Engaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.

BIO-502: Lab immersion II

Engaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.

BIO-503: Lab immersion III

Engaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.

BIO-506: Lab immersion in industry

Engaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.

CH-603: Basic principles of drug action at the nervous system

The aim of this course is two-fold: i) to describe the molecular properties of some important drug targets ii) to illustrate some applications of drugs active at the nervous system

NX-423: Translational neuroengineering

BIOENG-310: Neuroscience foundations for engineers

This overview course bridges computational expertise with neuroscience fundamentals, aimed at fostering interdisciplinary communication and collaboration for engineering-based neuroscience programs.

HUM-256: Brain, mind and society