Cognitive Neuroscience for AI Developers (CNAID) 2021/2022 /CoursesID:2582

Detailed information

Keywords: neuroscience artificial intelligence cognition

Most recent entry on 2021-12-06 

Lecturer

Patrick Krauß

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Recording type

Vorlesungsreihe

Via

IdM-login / Studon

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
Lecture 01 - Introduction to Cognitive Science
Patrick Krauß
2021-10-20
IdM-login / Studon
00:20:04
2
Lecture 02 – The Cognitive Approach – Mind as information processing
Patrick Krauß
2021-10-20
IdM-login / Studon
00:15:34
3
Lecture 03 – The Philosophical Approach
Patrick Krauß
2021-10-20
IdM-login / Studon
00:17:54
4
Lecture 04 – The Psychological Approach I
Patrick Krauß
2021-10-25
IdM-login / Studon
00:12:04
5
Lecture 05 – The Psychological Approach II
Patrick Krauß
2021-10-25
IdM-login / Studon
00:15:50
6
Lecture 06 – The Psychological Approach III
Patrick Krauß
2021-10-25
IdM-login / Studon
00:19:20
7
Lecture 07 – Structure and Function of the Nervous System - Neurons and Glia
Prof. Dr. Andreas Kist
2021-11-02
IdM-login / Studon
00:17:31
8
Lecture 08 – Structure and Function of the Nervous System - How a neuron spikes
Prof. Dr. Andreas Kist
2021-11-02
IdM-login / Studon
00:15:43
9
Lecture 09 – Structure and Function of the Nervous System - Neural Plasticity
Prof. Dr. Andreas Kist
2021-11-02
IdM-login / Studon
00:14:31
10
Lecture 10 – Structure and Function of the Nervous System - Brain Structure and Function
Patrick Krauß
2021-11-08
IdM-login / Studon
00:14:40
11
Lecture 11 – Structure and Function of the Nervous System - Cerebral Cortex
Patrick Krauß
2021-11-15
IdM-login / Studon
00:20:15
12
Lecture 12 – Structure and Function of the Nervous System - Development of the Nervous System
Prof. Dr. Andreas Kist
2021-11-15
IdM-login / Studon
00:20:51
13
Lecture 13 – Methods of Cognitive Neuroscience - EEG, MEG, iEEG, ECoG, animal cortical recordings
Prof. Dr. Andreas Kist
2021-11-22
IdM-login / Studon
00:16:37
14
Lecture 14 – Methods of Cognitive Neuroscience - Calcium and Voltage imaging
Prof. Dr. Andreas Kist
2021-11-22
IdM-login / Studon
00:18:36
15
Lecture 15 – Methods of Cognitive Neuroscience - Imaging
Patrick Krauß
2021-11-29
IdM-login / Studon
00:15:07
16
Lecture 16 – Methods of Cognitive Neuroscience - Methods for AI
Prof. Dr. Andreas Kist
2021-11-29
IdM-login / Studon
00:18:53
17
Lecture 17 – Methods of Cognitive Neuroscience - Lesioning
Patrick Krauß
2021-12-06
IdM-login / Studon
00:15:47
18
Lecture 18 – Lateralization of Brain Function
Patrick Krauß
2021-12-06
IdM-login / Studon
00:14:43