2009 Special Issue: Hippocampus, microcircuits and associative memory

Authors:
Vassilis Cutsuridis;Thomas Wennekers
Affiliations:
Department of Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, UK;Centre for Theoretical and Computational Neuroscience, University of Plymouth, Plymouth, UK
Venue:
Neural Networks
Year:
2009

Citing 5
Cited 3

Neural Assemblies, an Alternative Approach to Artificial Intelligence

Neural Assemblies, an Alternative Approach to Artificial Intelligence
A proposed function for Hippocampal theta rhythm: separate phases of encoding and retrieval enhance reversal of prior learning

Neural Computation
Phenomenological models of synaptic plasticity based on spike timing

Biological Cybernetics - Special Issue: Object Localization
Automated neuron model optimization techniques: a review

Biological Cybernetics - Special Issue: Quantitative Neuron Modeling
How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Dynamics and function of a CA1 model of the hippocampus during theta and ripples

ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
GABA inhibition modulates NMDA-R mediated spike timing dependent plasticity (STDP) in a biophysical model

Neural Networks
2011 Special Issue: Computational cognitive models of prefrontal-striatal-hippocampal interactions in Parkinson's disease and schizophrenia

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

The hippocampus is one of the most widely studied brain region. One of its functional roles is the storage and recall of declarative memories. Recent hippocampus research has yielded a wealth of data on network architecture, cell types, the anatomy and membrane properties of pyramidal cells and interneurons, and synaptic plasticity. Understanding the functional roles of different families of hippocampal neurons in information processing, synaptic plasticity and network oscillations poses a great challenge but also promises deep insight into one of the major brain systems. Computational and mathematical models play an instrumental role in exploring such functions. In this paper, we provide an overview of abstract and biophysical models of associative memory with particular emphasis on the operations performed by the diverse (inter)neurons in encoding and retrieval of memories in the hippocampus.