CH0012 - COMPUTATIONAL MODELING OF BRAIN AND COGNITION

courses
ID:
CH0012
Duration (hours):
64
CFU:
8
SSD:
BIOINGEGNERIA ELETTRONICA E INFORMATICA
Located in:
CHIETI
Url:
COMPUTATIONAL COGNITIVE SCIENCE/ANALISTA DI BIG-DATA NELLE NEUROSCIENZE COGNITIVE Year: 2
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...

Overview

Date/time interval

Primo Semestre (01/10/2025 - 18/01/2026)

Syllabus

Course Objectives


The course aims to provide the theoretical and technical knowledge necessary to study computational brain models.



By the end of the course, students will be able to analyze and understand computational models at various levels of specificity, ranging from individual neuronal models to models of high-level cognitive processes.





Course Prerequisites


Basic knowledge of Physics, Neurophysiology, Calculus (Mathematical Analysis), and Linear Algebra.

Teaching Methods


The course consists of 64 hours of lectures, divided into 2- and 3-hour sessions.
Lectures are supported by slides and cover the theoretical aspects of the discipline.

The course includes practical exercises involving the implementation of several computational models presented during the lectures. These exercises will be conducted using the Python environment.

Assessment Methods


Learning assessment consists of an oral exam designed to evaluate the understanding of the technical and theoretical aspects of the models and techniques introduced during the course.

The final grade is expressed on a scale of 30 (out of 30).

Texts


Recommended Textbooks are:






Eugene M. Izhikevich, Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting The MIT Press, 2007






Dayan, P. (2005). Theoretical Neuroscience: Computational And Mathematical Modeling of Neural Systems. MIT Press.






Gerstner, Wulfram, et al. Neuronal dynamics: From single neurons to networks and models of cognition. Cambridge University Press, 2014.






Additional teaching material provided by the instructor and available online for exam preparation.

Contents


The curriculum focuses on computational brain and cognitive models. Neuronal models will be presented with a particular emphasis on dynamical systems and bifurcation theory. Furthermore, the course covers models based on brain networks with applications in cognitive neuroscience, defining high-level processes such as decision-making and memory.

Course Language


Italian


More information


Slides and other educational materials, including suggested supplemental readings, are available on the course's e-learning platform.






Regular attendance of lectures is highly recommended.

Degrees

Degrees

COMPUTATIONAL COGNITIVE SCIENCE 
Master’s Degree
2 years
No Results Found

People

People

GUIDOTTI ROBERTO
Borsisti
No Results Found