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NEUROSCIENCE OF CONSCIOUSNESS Single discipline educational activity
Course Sheet Academic Year of enrolment:
Disciplinary Sector:
Psychobiology and Physiological Psychology
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
There are no prerequisite restrictions.
It is desirable - but not mandatory - that the student would possess basic knowledge in Psychobiology and Physiological Psychology (teaching courses: Psychobiology I) and English language, as well as some notions (level: secondary school) of Mathematics, Physics and Philosophy.
Objectives
Contents The course deals with the topic of consciousness in light of the recent neuroscientific research and of the main theoretical models and methodological approaches.
List of the topics covered:
• History of consciousness (Prof Forlano)
• Neural correlates of consciousness (Prof Marzoli)
• Connectionism (Prof Forlano)
• Integrated Information Theory (Prof Marzoli)
Extended Syllabus Extended programme:
• Short history of consciousness
• From the scientific revolution to the contemporary world
• Philosophical roots of the problem of "mind"
• Artificial Intelligence: prolegomena
• Alan Turing
• Noam Chomsky
• Artificial Intelligence: theoretical lines
• The mind between computation and representation
• Neural correlates of consciousness
• The neuroscientific approach
• Methodologies for studying consciousness
• Ambiguous figures and binocular rivalry
• Neural correlates of qualia
• Neural correlates of states of consciousness
• Consciousness in the visual system
• Consciousness, memory and attention
• Split-brain patients
• Reticular formation
• Patients with severe impairments of consciousness (Coma; Vegetative state; Locked-in syndrome; MCS and Akinetic mutism)
• Claustrum and microcosciences
• Consciousness around the world (Babies; Animals; Plants; Machines)
• Connectionism: consciousness is a network
• Neurons and synapses: biology
• Artificial neurons (Transfer function; McCulloch and Pitts model; Hebb principle; Rosenblatt model; Supervised and unsupervised learning; Backpropagation)
• Neural networks in action (Simulations of connectionistic networks; Biological evolution and artificial network; Learning in connectionist networks; Reward; High-level connectionistic simulations; Motivation and attention; Categorization; Language; Frames, scripts and neural networks; Satisfaction constraint networks
• Consciousness: the connectionist hypothesis (Preliminaries for a naturalistic model; The future: a work in progress project)
• The Integrated Information Theory
• Introductory notes
• Consciousness and complexity
• Brain and cerebellum, sleep and dream
• Two fundamental properties
• Complexes
• Axioms and postulates
• From integrated information to qualia
• Measurements of consciousness
• Comments and explanations
• Aggregates and networks
• Towards a topography of consciousness
Recommended Bibliography Text book: Brancucci A., Forlano E. “La Coscienza – Filosofia, Connessionismo, Neuroscienze”. Edizioni A.L.E.
Scientific paper: Pennartz, C., Farisco, M., & Evers, K. (2019). Indicators and criteria of consciousness in animals and intelligent machines: An inside-out approach. Frontiers in Systems Neuroscience, 13, 25.
Further materials are provided by the lecturer.
Recommended (optional) readings:
- Edelman GM, Tononi G. “Un universo di coscienza”. Einaudi
- Forlano E. “Le basi neurocognitive del comportamento”. Carabba
- Rosenblum B, Kuttner F. “Quantum enigma: Physics encounters consciousness”. Duckworth Overlook
Methods of Provision
Teaching Methods Frontal lessons (presentation of slides, scientific articles and video clips).
Evaluation methods Verification of learning:
Written exam (30 multiple-choice questions).