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Focus on Computational and Systems Neuroscience
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Nature Neuroscience 8, 1677 - 1683 (2005)
Published online: 30 October 2005; | doi:10.1038/nn1561

Matching storage and recall: hippocampal spike timing–dependent plasticity and phase response curves

Máté Lengyel1, Jeehyun Kwag2, Ole Paulsen2 & Peter Dayan1

1  Gatsby Computational Neuroscience Unit, University College London, 17 Queen Square, London WC1N 3AR, UK.

2  University Laboratory of Physiology, Oxford University, Parks Road, Oxford OX1 3PT, UK.

Correspondence should be addressed to Máté Lengyel lmate@gatsby.ucl.ac.uk

Hippocampal area CA3 is widely considered to function as an autoassociative memory. However, it is insufficiently understood how it does so. In particular, the extensive experimental evidence for the importance of carefully regulated spiking times poses the question as to how spike timing–based dynamics may support memory functions. Here, we develop a normative theory of autoassociative memory encompassing such network dynamics. Our theory specifies the way that the synaptic plasticity rule of a memory constrains the form of neuronal interactions that will retrieve memories optimally. If memories are stored by spike timing–dependent plasticity, neuronal interactions should be formalized in terms of a phase response curve, indicating the effect of presynaptic spikes on the timing of postsynaptic spikes. We show through simulation that such memories are competent analog autoassociators and demonstrate directly that the attributes of phase response curves of CA3 pyramidal cells recorded in vitro qualitatively conform with the theory.

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