Course description
This laboratory aims at understanding the core concepts of cellular and circuit signals in neuroscience, covering neuron anatomy, physiology, and synaptic transmission. It is also aimed to provide practical skills essential to understand the principles of neural bases of multi-scale information from mechanisms of single neurons and synapses to functional microcircuits with specific connectivity and plasticity, till the generation of high-level function behaviors. In particular, acquiring experience with several recording techniques and analyzing brain data with standard pipelines as well as novel AI methods will provide a hint on how neural data are collected, analyzed, and interpreted to investigate brain function.
Course topics
Cellular and circuit signals
- Introduction, subcellular organization of the nervous system: organelles and their functions.
- Neurotransmitter systems, Ion channels, and intracellular signaling.
- Neural firing, synapsis, plasticity, and circuit activities.
- Recording techniques for cells and circuits (electrophysiology, multi-electrode arrays, patchclamp recording).
- Recording techniques for cells and circuits (other imaging techniques).
- Data analysis methods, some examples will deal especially with the cerebellar circuit.
Ensemble brain signals
- Introduction
- Recording techniques
- Analysis methods
- Analyses of human fMRI recordings (hands-on)
- Machine learning applied to neural data (hands-on)
Brain-inspired systems
- Intro to Social Robotics and HRI
- Bringing together AI disciplines
- Intro to Neuro-AI and related methods
- Examples of brain-inspired technologies.
- Profesor: PAWAN SIRWAN FARIS FARIS
- Profesor: Doris PISCHEDDA