In analogy to how it is reported for the brain by A. Luria, connections of the lowest levels of the architecture of Figure 9 are predefined. Higher-level connections are set via a learning process, concretely via a supervised learning process that was described in detail in . More recent research findings indicate that learning could also already take place at lower levels of perception and that unsupervised learning could be crucial for setting these connections. In, first attempts have been made to develop an unsupervised learning strategy for the model.https://www.edusoft.ro/brain/index.php/brain/article/view/419/47
Human learners acquire complex interconnected networks of relational knowledge. The capacity for suc...
The understanding of neural activity patterns is fundamentally linked to an understanding of how the...
Contains fulltext : 102381.pdf (publisher's version ) (Open Access)What, if anythi...
<p>In analogy to how it is reported for the brain by A. Luria, connections of the lowest levels of t...
<p>Figure 6 gives an overview about the developed architecture for human-like machine perception whi...
<p>To perform complex functions, individual neuro-symbols are then connected to networks.<br> Figure...
Artificial intelligence and learning is a growing field. There are many ways of making a computer pr...
<p>Independently developed LPUs and connectivity patterns may be composed into subsystems (red, gree...
Many attempts have been made to build an artificial brain. This paper aims to contribute to the conc...
ABSTRACT This paper describes some biologically-inspired processes that could be used to build the ...
One contribution of 12 to a Theme Issue ‘How does complex network theory help to understand the brai...
The different areas of the cerebral cortex are linked by a network of white matter, comprising the m...
To investigate the relations between structure and function in both artificial and natural neural ne...
International audienceObjective: Motor imagery-based brain-computer interfaces (BCIs) use an individ...
This paper specifies the main features of Brain-like, Neuronal, and Connectionist models; argues for...
Human learners acquire complex interconnected networks of relational knowledge. The capacity for suc...
The understanding of neural activity patterns is fundamentally linked to an understanding of how the...
Contains fulltext : 102381.pdf (publisher's version ) (Open Access)What, if anythi...
<p>In analogy to how it is reported for the brain by A. Luria, connections of the lowest levels of t...
<p>Figure 6 gives an overview about the developed architecture for human-like machine perception whi...
<p>To perform complex functions, individual neuro-symbols are then connected to networks.<br> Figure...
Artificial intelligence and learning is a growing field. There are many ways of making a computer pr...
<p>Independently developed LPUs and connectivity patterns may be composed into subsystems (red, gree...
Many attempts have been made to build an artificial brain. This paper aims to contribute to the conc...
ABSTRACT This paper describes some biologically-inspired processes that could be used to build the ...
One contribution of 12 to a Theme Issue ‘How does complex network theory help to understand the brai...
The different areas of the cerebral cortex are linked by a network of white matter, comprising the m...
To investigate the relations between structure and function in both artificial and natural neural ne...
International audienceObjective: Motor imagery-based brain-computer interfaces (BCIs) use an individ...
This paper specifies the main features of Brain-like, Neuronal, and Connectionist models; argues for...
Human learners acquire complex interconnected networks of relational knowledge. The capacity for suc...
The understanding of neural activity patterns is fundamentally linked to an understanding of how the...
Contains fulltext : 102381.pdf (publisher's version ) (Open Access)What, if anythi...