Difference between revisions of "list of example papers"
(Created page with "M. Lawrence , T. Trappenberg, A. Fine (2006) Rapid learning and robust recall of long sequences in modular associator networks,Neurocomputing , 69(7-9): 634-641. Margaret Car...") |
m |
||
| Line 5: | Line 5: | ||
Földiak, P. (1990). Forming sparse representations by local anti-Hebbian learning. Biological cybernetics, 64(2), 165-170. | Földiak, P. (1990). Forming sparse representations by local anti-Hebbian learning. Biological cybernetics, 64(2), 165-170. | ||
| + | |||
Olshausen, Field (1996), Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images, Nature 381 | Olshausen, Field (1996), Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images, Nature 381 | ||
Latest revision as of 14:22, 11 February 2016
M. Lawrence , T. Trappenberg, A. Fine (2006) Rapid learning and robust recall of long sequences in modular associator networks,Neurocomputing , 69(7-9): 634-641.
Margaret Carr, Shantanu P Jadhav and Loren M Frank (2011),Hippocampal replay in the awake state: a potential physiological substrate of memory consolidation and retrieval, Nature Neuroscience 14, pp147 - 153.
Földiak, P. (1990). Forming sparse representations by local anti-Hebbian learning. Biological cybernetics, 64(2), 165-170.
Olshausen, Field (1996), Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images, Nature 381
Suri and Shultz (2001), Temporal Difference Model Reproduces Anticipatory Neural Activity, Neural Computation 13
Izhikevich (2007), Solving the Distal Reward Problem through Linkage of STDP and Dopamine Signaling, Cerebral Cortex
Tiago V Maia and Michael J Frank, From reinforcement learning models to psychiatric and neurological disorders, Nature Neuroscience, Feb 2011, pp154 - 162
Shouval, HZ, Bear, MF, Cooper, LN. (2002) A unified model of NMDA receptor-dependent bidirectional synaptic plasticity. Proc Natl Acad Sci USA, 99(16): p. 10831-6.;
Daw, N. D., Gershman, S. J., Seymour, B., Dayan, P., & Dolan, R. J. (2011). Model-based influences on humans' choices and striatal prediction errors. Neuron, 69(6), 1204-1215.
Wolpert, D. M., Miall, R. C., & Kawato, M. (1998). Internal models in the cerebellum. Trends in cognitive sciences, 2(9), 338-347.
Wörgötter, F., & Porr, B. (2005). Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms. Neural Computation, 17(2), 245-319.
Kishida, K. T., King-Casas, B., & Montague, P. R. (2010). Neuroeconomic approaches to mental disorders. Neuron, 67(4), 543–554. doi:10.1016/j.neuron.2010.07.021
Wiecki, T. V., Poland, J., & Frank, M. J. (2015). Model-Based Cognitive Neuroscience Approaches to Computational Psychiatry: Clustering and Classification. Clinical Psychological Science.
C.M.A. Pennartz, R. Ito, P.F.M.J. Verschure, F.P. Battaglia and T.W. Robbins,The hippocampal–striatal axis inlearning, prediction and goal-directed behavior. Trends in Neuroscience, Volume 34, Issue 10, October 2011, Pages 548–559 Special Issue: Hippocampus and Memory
