this report, we have again shown that a hippocampal-like network can solve a particular configural learning problem. Such results together with the network's ability to perform successful sequence prediction/goal findin
Current evidence suggests that neural Hebbian learning in cortical and hippocampal synapses is funda...
Learning to navigate a complex environment is not a difficult task for a mammal. For example, findin...
Recent advances in single-neuron biophysics have enhanced our understanding of information processin...
The hippocampus is needed to store memories that are recon"gurable. Therefore, a hip-pocampal-l...
ABSTRACT: Temporal difference learning (TD) is a popular algorithm in machine learning. Two learning...
One of the hallmarks of intelligent behaviour is the ability to generalise, i.e. to make use of info...
Objective. In the theoretical framework of predictive coding and active inference, the brain can be ...
Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2006."September 2006."Inclu...
Temporal difference learning (TD) is a popular algorithm in machine learning. Two learning signals t...
The hippocampus (HC) has been suggested to play a role in transitive inference (TI) on an ordered se...
Recent findings indicate that, in humans, the hippocampal memory system is involved in the capacity ...
& The hippocampus is critical for encoding and retrieving semantic and episodic memories. Animal...
The neural mechanisms supporting flexible relational inferences, especially in novel situations, are...
The brain makes flexible and adaptive responses in a complicated and ever-changing environment for a...
Problem solving based on deduction using logical reasoning is one of the aspects of intelligence in ...
Current evidence suggests that neural Hebbian learning in cortical and hippocampal synapses is funda...
Learning to navigate a complex environment is not a difficult task for a mammal. For example, findin...
Recent advances in single-neuron biophysics have enhanced our understanding of information processin...
The hippocampus is needed to store memories that are recon"gurable. Therefore, a hip-pocampal-l...
ABSTRACT: Temporal difference learning (TD) is a popular algorithm in machine learning. Two learning...
One of the hallmarks of intelligent behaviour is the ability to generalise, i.e. to make use of info...
Objective. In the theoretical framework of predictive coding and active inference, the brain can be ...
Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2006."September 2006."Inclu...
Temporal difference learning (TD) is a popular algorithm in machine learning. Two learning signals t...
The hippocampus (HC) has been suggested to play a role in transitive inference (TI) on an ordered se...
Recent findings indicate that, in humans, the hippocampal memory system is involved in the capacity ...
& The hippocampus is critical for encoding and retrieving semantic and episodic memories. Animal...
The neural mechanisms supporting flexible relational inferences, especially in novel situations, are...
The brain makes flexible and adaptive responses in a complicated and ever-changing environment for a...
Problem solving based on deduction using logical reasoning is one of the aspects of intelligence in ...
Current evidence suggests that neural Hebbian learning in cortical and hippocampal synapses is funda...
Learning to navigate a complex environment is not a difficult task for a mammal. For example, findin...
Recent advances in single-neuron biophysics have enhanced our understanding of information processin...
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