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Vector quantization (VQ) is a famous signal compression method. In VQ encoding, a fast search method for finding the best-matched codeword (winner) is a key issue because it is the time bottleneck for ...

We present a novel deep neural network architecture for representing robot experiences in an episodic-like memory that facilitates encoding, recalling, and predicting action experiences. Our proposed ...

Verbal Memory Task. All stimuli were presented on a laptop computer with a Stim 2 Gentask (Neuroscan, Charlotte, NC, United States). We used a word memory task (), which is known to recruit the medial ...

A typical approach to photonic processing is to multiply a rapidly changing optical input vector with a matrix of fixed optical weights. However, encoding these weights on-chip using an array of ...

Memory task-specific encoding by neuronal networks in the human hippocampus. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2015 / 05 / 150506163719.htm.