In a new study Indiana University researchers observed episodic memory in rats to a degree never documented before, ...
Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
Navigating the world is no mean feat, especially when the world pushes back. For instance, airflow hitting a fly on its right ...
Abstract: This paper introduces a computational model of episodic memory that learns episodes in response to continuous sensory input. The proposed model utilizes a Hebbian based associative learning ...
A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.
“The representation is gradually going to accumulate some noise. As a result, when you see an image or a sentence for a ...
Abstract: Deep neural networks (DNNs) have enabled state-of-the-art performance across various applications. However, their deployment is often hindered by high energy demands. One solution is to ...
The influence of dopamine on learning, memory and cognition is manifold and multifaceted. Its role in reward-related behavior and behavioral affect is well-documented, as is its role in promoting ...
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