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This article is part of the supplement: Eighteenth Annual Computational Neuroscience Meeting: CNS*2009

Open Access Poster presentation

Modeling the effects of GABA-A inhibition on the spike timing-dependent plasticity of a CA1 pyramidal cell

Vassilis Cutsuridis1*, Stuart Cobb2 and Bruce P Graham1

Author Affiliations

1 Department of Computing Science & Mathematics, University of Stirling, Stirling, FK9 4LA, UK

2 Division of Neuroscience and Biomedical Systems, University of Glasgow, Glasgow, G12 8QQ, UK

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BMC Neuroscience 2009, 10(Suppl 1):P191  doi:10.1186/1471-2202-10-S1-P191


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/10/S1/P191


Published:13 July 2009

© 2009 Cutsuridis et al; licensee BioMed Central Ltd.

Poster presentation

A detailed CA1 microcircuit (MC) model of the hippocampus has been recently advanced to investigate the biophysical mechanisms by which hetero-association of spatio-temporal input patterns is achieved in the hippocampus [1,2]. The network model consisted of pyramidal (P) cells, basket (B) cells, axo-axonic (AA) cells, bistratified (BS) cells and oriens lacunosum-molecurale (OLM) cells. Inputs to the network came from the entorhinal cortex (EC), the CA3 Schaffer collaterals and medial septum (MS). The EC input provided the sensory information, whereas all other inputs provided context and timing information. The MS input paced the network theta rhythm activity. Storage and recall of memories were separated into different functional theta half-cycles. Storage was accomplished via a local spike timing-dependent plasticity (STDP) rule mediating hetero-association of the postsynaptic PC response due to the incoming EC input and the CA3 input spike pattern on the pyramidal cell stratum radiatum (SR) AMPA synapses. The model simulated the timing of firing of different hippocampal cell types relative to the theta rhythm and proposed functional roles for the different classes of inhibitory interneurons in the storage and recall cycles of input patterns. Memory capacity and recall performance of the MC model were quantitatively studied. Particular emphasis was given as to how the temporal patterning of the inputs interacted with the STDP learning to either promote or inhibit pattern storage and hence ultimately pattern recall. In this work, we extend the STDP rule applied to the PC-SR AMPA synapses of the CA1 MC model with a Ca2+ dynamics STDP model applied to the PC-SR NMDA synapses in order to study how GABA inhibition affects the detailed CA2+ dynamics underlying synaptic plasticity on the NMDA synapses of the CA1 pyramidal cells. Experimental studies has shown that GABAergic inhibition in the proximal stratum radiatum (SR) dendrite of the hippocampal CA1 pyramidal neuron is probably responsible for the observed symmetry-to-asymmetry transition of the STDP curve [5]. Recent computational works from our group [3,4] predicted that symmetry-to-asymmetry transition is strongly dependent on the frequency band (theta vs. gamma), the conductance value of GABAA inhibition and the relative timing between the GABAergic spike train and the pre- and post-synaptic excitation. Two distinct long-term depression (LTD) tails of the symmetrical STDP curve were shown to be centered at +10 ms, +40 ms and -10 ms, respectively. The largest LTP value and the two distinct LTD tails were inversely proportional to the increase of GABA conductance. With this work we continue to investigate the effects of the GABA inhibition on the STDP learning curve in the presence of more complex excitatory inputs such as triplets, quadruplets and bursts. We explore in more detail the effects on the STDP curve of various gamma frequency sub-bands (40 Hz, 75 Hz and 100 Hz), the GABAA conductance value and the relative timing of the GABA inhibition with the complex excitatory inputs. An important implication of these results is that they raise the possibility that GABArgic interneurons can be "trained" to fire at specific times and frequencies, and consequently facilitate or depress the encoding and retrieval of information in the hippocampus.

Acknowledgements

This work was funded by the EPSRC project grant EP/D04281X/1 to B. Graham and S. Cobb.

References

  1. Graham BP, Cutsuridis V: Dynamical information processing in the CA1 microcircuit of the hippocampus. In Computational Modeling in behavioral neuroscience: Closing the gap between neurophysiology and behavior. London: Psychology Press, Taylor and Francis Group; 2008. OpenURL

  2. Cutsuridis V, Cobb S, Graham BP: Encoding and retrieval in a CA1 microcircuit model of the hippocampus. In ICANN 2008, LNCS 5164. Edited by Kurkova V, Neruda R, Koutnik J. Springer-Verlag Berlin Heidelberg; 2008:238-247. OpenURL

  3. Cutsuridis V, Cobb S, Graham BP: Modelling the STDP symmetry-to-asymmetry transition in the presence of GABAergic inhibition.

    Neural Network World 2009, in press. OpenURL

  4. Cutsuridis V, Cobb S, Graham BP: A Ca2+ dynamics model of the STDP symmetry-to-asymmetry transition in the CA1 pyramidal cell of the hippocampus.

    In ICANN 2008, LNCS 5164 Edited by Kurkova V, Neruda R, Koutnik J. 627-635. OpenURL

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    Neuroscience 2007, 145:80-87. PubMed Abstract | Publisher Full Text OpenURL