Cognitive Neuroscience for AI Developers (CNAID) 2022/2023 /CoursesID:3265

Detailed information

Keywords: neuroscience artificial intelligence cognition

Most recent entry on 2022-11-22 

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Recording type

Vorlesungsreihe

Via

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Language

English

Neuroscience has played a key role in the history of artificial intelligence (AI), and has been an inspiration for building human-like AI, i.e. to design AI systems that emulate human intelligence.
Neuroscience provides a vast number of methods to decipher the representational and computational principles of biological neural networks, which can in turn be used to understand artificial neural networks and help to solve the so called black box problem. This endeavour is called neuroscience 2.0 or machine behaviour. In addition, transferring design and processing principles from biology to computer science promises novel solutions for contemporary challenges in the field of machine learning. This research direction is called neuroscience-inspired artificial intelligence.
The course will cover the most important works which provide the cornerstone knowledge to understand the biological foundations of cognition and AI, and applications in the areas of AI-based modelling of brain function, neuroscience-inspired AI and reverse-engineering of artificial neural networks.

Associated Clips

Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Week 01 - Introduction to Cognitive Science
Dr. rer. nat. Patrick Krauß
2022-10-23
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00:53:06
2
Week 02 - Introduction to Psychology
Dr. rer. nat. Patrick Krauß
2022-10-23
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00:46:29
3
Week 03 - Brain Structure and Function
Dr. rer. nat. Patrick Krauß
2022-10-28
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00:34:45
4
Week 04 - Neurons
Prof. Dr. Andreas Kist
2022-11-13
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01:30:40
5
Week 05 - Neural Plasticity
Prof. Dr. Andreas Kist
2022-11-17
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01:27:53
6
Week 06 - Neuroimaging
Dr. rer. nat. Patrick Krauß
2022-11-22
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00:15:13

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