![](bg6.png)
REFERENCES
Alexandre, F. (2000). Biological Inspiration for Multiple
Memories Implementation and Cooperation. In In
V. Kvasnicka P. Sincak, J. Vascak and R. Mesiar, ed-
itors, International Conference on Computational In-
telligence.
Bengio, Y., Courville, A. C., and Vincent, P. (2013). Rep-
resentation learning: A review and new perspectives.
IEEE Trans. Pattern Anal. Mach. Intell., 35(8):1798–
1828.
Cardinal, R. N., Parkinson, J. A., Hall, J., and Everitt, B. J.
(2002). Emotion and motivation: the role of the amyg-
dala, ventral striatum, and prefrontal cortex. Neuro-
science & Biobehavioral Reviews, 26(3):321–352.
Deco, G., Jirsa, V. K., Robinson, P. A., Breakspear, M., and
Friston, K. (2008). The dynamic brain: From spiking
neurons to neural masses and cortical fields. PLoS
Comput. Biol., 4(8).
Doya, K. (1999). What are the computations of the cerebel-
lum, the basal ganglia and the cerebral cortex? Neural
Networks, 12:961–974.
Fuster, J. M. (2001). The Prefrontal CortexAn Update :
Time Is of the Essence. Neuron, 30(2):319–333.
Herry, C., Ciocchi, S., Senn, V., Demmou, L., Muller, C.,
and Luthi, A. (2008). Switching on and off fear by dis-
tinct neuronal circuits. Nature, 454(7204):600–606.
Holland, P. C. and Gallagher, M. (1999). Amygdala cir-
cuitry in attentional and representational processes.
Trends in cognitive sciences, 3(2):65–73.
Hubel, D. and Wiesel, T. (1962). Receptive fields, binocular
interaction and functional architecture in the cat visual
cortex. J Physiol, 160:106–154.
Johnson, L. R., Hou, M., Prager, E. M., and LeDoux, J. E.
(2011). Regulation of the Fear Network by Media-
tors of Stress: Norepinephrine Alters the Balance be-
tween Cortical and Subcortical Afferent Excitation of
the Lateral Amygdala. Frontiers in Behavioral Neu-
roscience, 5.
Koechlin, E., Ody, C., and Kouneiher, F. (2003). The Archi-
tecture of Cognitive Control in the Human Prefrontal
Cortex. Science, 302(5648):1181–1185.
Kouneiher, F., Charron, S., and Koechlin, E. (2009). Mo-
tivation and cognitive control in the human prefrontal
cortex. Nature Neuroscience, 12(7):939–945.
Le Pelley, M. E. (2004). The role of associative history in
models of associative learning: a selective review and
a hybrid model. The Quarterly Journal of Experimen-
tal Psychology, 57(3):193–243.
LeDoux, J. (2007). The amygdala. Current Biology,
17(20):R868–R874.
Mackintosh, N. J. (1975). A theory of attention: Variations
in the associability of stimuli with reinforcement. Psy-
chological Review, 82(4):276–298.
McClelland, J. L., McNaughton, B. L., and O’Reilly, R. C.
(1995). Why there are complementary learning sys-
tems in the hippocampus and neocortex: insights
from the successes and failures of connectionist mod-
els of learning and memory. Psychological review,
102(3):419–457.
O’Reilly, R. C. and Rudy, J. W. (2001). Conjunctive Rep-
resentations in Learning and Memory: Principles of
Cortical and Hippocampal Function. Psychological
Review, 108(2):311–345.
Pauli, W. M., Hazy, T. E., and O’Reilly, R. C. (2011).
Expectancy, Ambiguity, and Behavioral Flexibility:
Separable and Complementary Roles of the Orbital
Frontal Cortex and Amygdala in Processing Reward
Expectancies. Journal of Cognitive Neuroscience,
24(2):351–366.
Paz, R., Bauer, E. P., and Par
´
e, D. (2009). Measuring cor-
relations and interactions among four simultaneously
recorded brain regions during learning. Journal of
neurophysiology, 101(5):2507–2515.
Pearce, J. M. and Hall, G. (1980). A model for Pavlovian
learning: variations in the effectiveness of conditioned
but not of unconditioned stimuli. Psychological re-
view, 87(6).
Rescorla, R. and Wagner, A. (1972). A theory of pavlovian
conditioning: Variations in the effectiveness of rein-
forcement and nonreinforcement. In Classical Con-
ditioning II: Current Research and Theory, pages 64–
99. Appleton Century Crofts.
Rousselet, G., Thorpe, S., and Fabre-Thorpe, M. (2004).
How parallel is visual processing in the ventral path?
TRENDS in Cognitive Sciences, 8(8):363–370.
Schmajuk, N. and DiCarlo, J. (1992). Stimulus configura-
tion, classical conditioning and the hippocampus. Psy-
chological Review, 99:268–305.
Sperduti, A., Sperduti, R., and Starita, A. (1997). Super-
vised neural networks for the classification of struc-
tures. IEEE Transactions on Neural Networks, 8:714–
735.
Sun, R. and Alexandre, F., editors (1997). Connectionist
- Symbolic Integration: from Unified to Hybrid Ap-
proaches. Lawrence Erlbaum Associates.
Yu, A. J. and Dayan, P. (2005). Uncertainty, neuromodula-
tion, and attention. Neuron, 46(4):681–692.
Feature,Configuration,History-ABio-inspiredFrameworkforInformationRepresentationinNeuralNetworks
321