The core course (182 teaching hours) is equivalent to 36 ECTS (European Credit Transfer System) units.
 
MOLECULAR AND CELLULAR NEUROSCIENCE
A short introduction to the central nervous system
Resting membrane potential
Action potential 
Post-synaptic potentials
Synaptic integration
Mechanisms of biosynthesis, storage, and release of neurotransmitters
Structure and function of neurotransmitter receptors
Learning and memory: cellular mechanisms
Molecular basis of neuronal excitability
Gene regulation of learning and memory
 

SYSTEMS NEUROSCIENCE I - PERCEPTION

Refractive media of the eye
Psychophysics of vision
Retina - Phototransduction
Retina - Image processing
The primary visual cortex
Perception of color and depth
Mid- and higher-order vision
Visual attention
The somatosensory system
Audition and vestibular sense
 
SYSTEMS NEUROSCIENCE II - MOVEMENT AND COGNITIVE FUNCTIONS
Muscle receptors, spinal circuits, and reflexes
Psychophysics of voluntary movements
Primary motor cortex
Premotor and parietal cortex
Basal Ganglia
Cerebellum
The oculomotor system
Emotions and memory
Language and executive functions
Association cortices and lateralization of function in the brain
 
INTRODUCTION TO PSYCHOLOGY & THE SOCIAL NEUROSCIENCES
Basic functions and mechanisms of memory - amnesia
Executive functions/Developmental neuropsychology
Experimental approaches in neuropsychology
Social perception of emotion
Sensory psychology
Perception and consciousness
Developmental psychology
 
PHILOSOPHY OF SCIENCE - PHILOSOPHY OF MIND

Introduction. Naturalism in the philosophy of science/philosophy of mind

Causality in scientific explanation-Mental causation

Introduction to the philosophy of language

Introduction to philosophy of mind - Substance dualism

Behaviourism - Identity theory

Functionalism - The representational theory of Mind

Eliminativism - The problem of Consciousness

Property dualism - Physicalist theories of consciousness

Introduction to the philosophy of science

Introduction to the phenomenological philosophy of mind

Philosophy of perception. Introduction: Direct vs indirect realism. The argument from hallucination

Direct realism: Disjunctivism, enactive perception, representationalism

Indirect realism: Sense data theory, adverbialism. Virtual reality: Philosophical aspects

  
COMPUTATIONAL NEUROSCIENCES

Introduction to Computational Neuroscience and Matlab Primer 1: Vectors and Matrices, Variance and Covariance, Plotting, Randomness, M-files, and functions

Matlab primer 2: Basic mathematical methods: Ordinary differential equations, PCA, convolution, correlation, built-in libraries and toolboxes

The single neuron model - computational capacity and relative problems, transfer function

Attractor networks and neural oscillators

Supervised learning, gradient descent, local extrema

Other learning methods. Association learning, Hebb's rule, reinforcement learning

Problem formulation, data collection and analysis, phase-plane analysis, and mutual information, signal-to-noise ratio

Abstract neuron models FitzHugh–Nagumo model, IF, Izhikevich

Neural coding. Local/rate coding, population codes, tuning curves, Poisson neurons

Biophysical neuron models. Cable theory, HH equations, compartmental models

The Neuron simulator

Synaptic plasticity, adaptation and learning