@inproceedings{93f6ba1dfe7f484c873fce9c2e6ef87f,
title = "Improving associative memory in a network of spiking neurons",
abstract = "Associative neural network models are a commonly used methodology when investigating the theory of associative memory in the brain. Comparisons between the mammalian hippocampus and neural network models of associative memory have been investigated [7]. Biologically based networks are complex systems built of neurons with a variety of properties. Here we compare and contrast associative memory function in a network of biologically-based spiking neurons [14] with previously published results for a simple artificial neural network model [6]. We investigate biologically plausible implementations of methods for improving recall under biologically realistic conditions, such as a sparsely connected network.",
keywords = "associative memory, inhibition, mammalian hippocampus, neural networks, pattern recall",
author = "Russell Hunter and Stuart Cobb and Graham, {Bruce P.}",
year = "2008",
month = sep,
day = "22",
doi = "10.1007/978-3-540-87559-8_66",
language = "English",
isbn = "3540875581",
volume = "5164",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
number = "PART 2",
pages = "636--645",
editor = "{Kůrkov{\'a} }, V. and R. Neruda and J. Koutn{\'i}k",
booktitle = "Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings",
edition = "PART 2",
note = "18th International Conference on Artificial Neural Networks, ICANN 2008 ; Conference date: 03-09-2008 Through 06-09-2008",
}