✦ LIBER ✦

Neural models of memory

✍ Scribed by Michael E Hasselmo; James L McClelland

Book ID: 114314214
Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 81 KB
Volume: 9
Category: Article
ISSN: 0959-4388
DOI: 10.1016/s0959-4388(99)80025-7

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Neural models of episodic memory

✍ E.T. Rolls 📂 Article 📅 2012 🏛 Elsevier Science 🌐 French ⚖ 37 KB

Neural-network models: Predicting sponta

Neural-network models: Predicting spontaneous recovery of memory

✍ Stone, James V.; Hunkin, Nicola M.; Hornby, Angela 📂 Article 📅 2001 🏛 Nature Publishing Group 🌐 English ⚖ 130 KB

Testing neural network models of memory

Testing neural network models of memory with behavioral experiments

✍ Raymond P Kesner; Paul E Gilbert; Gene V Wallenstein 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 106 KB

Neural network model of temporal pattern

Neural network model of temporal pattern memory

✍ Kenji Doya; Shuji Yoshizawa 📂 Article 📅 1991 🏛 John Wiley and Sons 🌐 English ⚖ 584 KB

Neural networks as models of associative

Neural networks as models of associative memories

✍ N. Parga 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 751 KB

Neural networks have proved to be useful models of associative memories. After a brief review of the standard Hopfield model we discuss how to introduce some realistic features such as categorization of the stored information and asymmetric synapsis.

A new neural associative memory model

✍ Patrik Floréen 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 664 KB

We present a new associative memory model based on the Hamming memory, but where the winner-take-all network part is replaced by a layer of nodes with somewhat complex node functions. This new memory can produce output vectors with individual "don't know" bits. The simulations demonstrate that this