Hippocampal contributions to control: The third way

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Lengyel, Máté ^a,b   Dayan, Peter ^c  

^a INSTITUTE FOR ADVANCED STUDY   (Hungary)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CONTROL SYSTEMS;

ACTOR-CRITIC METHODS; CORTEXES; EPISODIC MEMORY; FORWARD MODELING; NEURAL STRUCTURES; PREFRONTAL CORTEX; SIMPLE ENVIRONMENTS; SIMPLE++; SPECIALISATION; STRIATUM;

CONTROLLERS;

EID: 85162020429     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Dudai, Y. & Carruthers, M. The Janus face of Mnemosyne. Nature 434, 567 (2005). (Pubitemid 40488534)
2. Káli, S. & Dayan, P. Off-line replay maintains declarative memories in a model of hippocampalneocortical interactions. Nat. Neurosci. 7, 286-294 (2004). (Pubitemid 38280453)
3. McClelland, J.L., McNaughton, B.L. & O'Reilly, R.C. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychol. Rev. 102, 419-457 (1995).
4. White, N.M. & McDonald, R.J. Multiple parallel memory systems in the brain of the rat. Neurobiol Learn Mem 77, 125-184 (2002). (Pubitemid 34971650)
5. Daw, N.D., Niv, Y. & Dayan, P. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control. Nat. Neurosci. 8, 1704-1711 (2005). (Pubitemid 41683198)
6. Sutton, R.S. & Barto, A.G. Reinforcement Learning (MIT Press, 1998).
7. Watkins, C.J.C.H. Learning from Delayed Rewards. PhD thesis, Cambridge University, (1989).
8. Lengyel, M. & Dayan, P. Uncertainty, phase and oscillatory hippocampal recall. in Advances in Neural Information Processing Systems 19 (eds. Schölkopf, B., Platt, J. & Hoffman, T.) 833-840 (MIT Press, Cambridge, MA, 2007).
9. Packard, M.G. & McGaugh, J.L. Double dissociation of fornix and caudate nucleus lesions on acquisition of two water maze tasks: further evidence for multiple memory systems. Behav. Neurosci. 106, 439-446 (1992).
10. Poldrack, R.A. et al. Interactive memory systems in the human brain. Nature 414, 546-550 (2001). (Pubitemid 33131537)
11. Kearns, M. & Singh, S. Finite-sample convergence rates for Q-learning and indirect algorithms. in Advances in Neural Information Processing Systems Vol. 11 (eds. Kearns, M.S., Solla, S.A. & Cohn, D.A.), Vol. 11, 996-1002 (MIT Press, Cambridge, MA, 1999).
12. Owen, D.B. & Steck, G.P. Moments of order statistics from the equicorrelated multivariate normal distribution. Ann Math Stat 33, 1286-1291 (1962).
13. Kording, K.P., Tenenbaum, J.B. & Shadmehr, R. The dynamics of memory as a consequence of optimal adaptation to a changing body. Nat. Neurosci. 10, 779-786 (2007). (Pubitemid 46828507)
14. Poldrack, R.A. & Rodriguez, P. How do memory systems interact? Evidence from human classification learning. Neurobiol Learn Mem 82, 324-332 (2004). (Pubitemid 39298724)
15. Clayton, N.S. & Dickinson, A. Episodic-like memory during cache recovery by scrub jays. Nature 395, 272-274 (1998). (Pubitemid 28447550)
16. Clayton, N.S., Dally, J.M. & Emery, N.J. Social cognition by food-caching corvids. the western scrub-jay as a natural psychologist. Philos. Trans. R. Soc. Lond. B Biol. Sci. 362, 507-522 (2007). (Pubitemid 47056823)
17. Stanfill, C. & Waltz, D. Toward memory-based reasoning. Communications of the ACM 29, 1213-1228 (1986).
18. Hintzman, D.L. MINERVA 2: A simulation model of human memory. Behav Res Methods Instrum Comput 16, 96-101 (1984).