Two is better than one: Distinct roles for familiarity and recollection in retrieving palimpsest memories

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

Volumn , Issue , 2011, Pages

  Savin, Cristina ^a   Dayan, Peter ^b   Lengyel, Máté ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTO-ASSOCIATIVE MEMORY; CURRENT THEORIES; MEMORY SYSTEMS; NEURAL DYNAMICS; NORMATIVE MODELS; PERFORMANCE; RECOGNITION MEMORY; TIGHT COUPLING;

EID: 85162387736     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Hasselmo, M.E. The role of acetylcholine in learning and memory. Current opinion in neurobiology 16, 710-715 (2006).
2. Fusi, S., Drew, P.J. & Abbott, L.F. Cascade models of synaptically stored memories. Neuron 45, 599-611 (2005).
3. Brown, M.W. & Aggleton, J.P. Recognition memory: What are the roles of the perirhinal cortex and hippocampus? Nature Reviews Neuroscience 2, 51-61 (2001).
4. Wixted, J.T. & Squire, L.R. The medial temporal lobe and the attributes of memory. Trends in Cognitive Sciences 15, 210-217 (2011).
5. Sommer, F.T. & Dayan, P. Bayesian retrieval in associative memories with storage errors. IEEE transactions on neural networks 9, 705-713 (1998).
6. Lengyel, M., Kwag, J., Paulsen,O. & Dayan, P. Matching storage and recall: hippocampal spike timing-dependent plasticity and phase response curves. Nature Neuroscience 8, 1677-1683 (2005).
7. Ackley, D., Hinton, G. & Sejnowski, T. A learning algorithm for Boltzmann machines. Cognitive Science 9, 147-169 (1995).
8. Fiser, J., Berkes, P.,Orbán, G. & Lengyel, M. Statistically optimal perception and learning: from behavior to neural representations. Trends in Cognitive Sciences 14, 119-130 (2010).
9. Hinton, G. Deterministic Boltzmann learning performs steepest descent in weight-space. Neural Computation 1, 143-150 (1990).
10. Lengyel, M. & Dayan, P. Uncertainty, phase and oscillatory hippocampal recall. Advances in Neural Information Processing (2007).
11. Neal, R.M. Sampling from multimodal distributions using tempered transitions. Statistics and Computing 6, 353-366 (1996).
12. Fukai, T. & Tanaka, S. A simple neural network exhibiting selective activation of neuronal ensembles: from winner-take-all to winners-share-all. Neural computation 9, 77-97 (1997).
13. Bogacz, R. & Gurney, K. The basal ganglia and cortex implement optimal decision making between alternative actions. Neural computation 19, 442-477 (2007).
14. Xiang, J.Z. & Brown, M.W. Differential neuronal encoding of novelty, familiarity and recency in regions of the anterior temporal lobe. Neuropharmacology 37, 657-676 (1998).
15. Rasmussen, C.E. & Williams, C.K.I. Gaussian Processes for Machine Learning (MIT Press, 2006).
16. Warburton, E.C. & Brown, M.W. Findings from animals concerning when interactions between perirhinal cortex, hippocampus and medial prefrontal cortex are necessary for recognition memory. Neuropsychologia 48, 2262-2272 (2010).
17. Yonelinas, A.P. Components of episodic memory: the contribution of recollection and familiarity. Philosophical Transactions of the Royal Society B: Biological Sciences 356, 1363-1374 (2001).
18. Yonelinas, A. The nature of recollection and familiarity: A review of 30 years of research. Journal of memory and language 46, 441-517 (2002).
19. Iba, Y. Extended ensemble Monte Carlo. Int. J. Mod. Phys 12, 653-656 (2001).
20. Bogacz, R. Comparison of computational models of familiarity discrimination in the perirhinal cortex. Hippocampus (2003).
21. Mitchell, S. Shunting inhibition modulates neuronal gain during synaptic excitation. Neuron (2003).
22. Fortin, N.J., Wright, S.P. & Eichenbaum, H. Recollection-like memory retrieval in rats is dependent on the hippocampus. Nature 431, 188-191 (2004).
23. Cowell, R., Winters, B., Bussey, T. & Saksida, L. Paradoxical false memory for objects after brain damage. Science (2010).
24. Norman, K.&O'Reilly, R. Modeling hippocampal and neocortical contributions to recognition memory: A complementary-learning-systems approach. Psychological Review (2003).