scholar.google.com › citations
Introduction. One of the purposes of neural networks is the analysis and reproduction of human competencies in information processing, like for example ...
The paper analyses possibilities of episodic multi-winner multi-directional associative memory taught by evolutionary algorithm. This kind of memory allows ...
In this paper, we propose Episodic Associative Memories (EAMs). They use Quick Learning for Bidirectional Associative Memory (QLBAM), which enables high ...
Missing: evolutionary | Show results with:evolutionary
People also ask
What are the two types of associative memories?
What is associative memory in AI?
[PDF] The Evolution of Episodic-Like Memory - PhilSci-Archive
philsci-archive.pitt.edu › The Evolu...
The evolutionary function of episodic memory (EM), plausibly, is remembering past situations to anticipate future situations (Suddendorf. & Corballis 2007).
We review evidence for the proposal that sleep, and REM sleep in particular, supports three specific, but not mutually exclusive, forms of memory integration.
May 8, 2024 · The paper argues that evolving associative memories (EAM), that are manifested in all biological systems and realised in the human brain through life-long ...
Here we propose that episodic memory can facilitate learning in two fundamentally different modes: retrieval and replay.
Specifically, in a series of studies we demonstrate that maintaining a database of episodic memories enables its owner to reevaluate an individual's past ...
Missing: algorithm. | Show results with:algorithm.
We propose that episodic memory capacity depends on a fundamental neural circuit that is similar across mammalian and avian species.
Missing: algorithm. | Show results with:algorithm.
Evolutionary algorithms in learning methods of associative memory ; Selected Problems of Computer Science · D. Rutkowska, J. Kacprzyk, W. Kosiski, K.
Missing: Episodic | Show results with:Episodic