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Volumn 52, Issue 3, 2010, Pages 833-847

Attractor concretion as a mechanism for the formation of context representations

Author keywords

Computational methods; Reinforcement learning

Indexed keywords

AMYGDALOID NUCLEUS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN FUNCTION; BRAIN NERVE CELL; LEARNING ALGORITHM; MEMORY CONSOLIDATION; MENTAL FUNCTION; ORBITAL CORTEX; PRIORITY JOURNAL; REINFORCEMENT; REWARD; STATISTICAL MODEL; ANIMAL; BIOLOGICAL MODEL; BRAIN; COGNITION; HUMAN; LEARNING; NERVE CELL; PHYSIOLOGY;

EID: 77954383122     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.01.047     Document Type: Article
Times cited : (41)

References (46)
  • 2
    • 0000394767 scopus 로고
    • Learning internal representations in an attractor neural network with analogue neurons
    • Amit D., Brunel N. Learning internal representations in an attractor neural network with analogue neurons. Network: Comput. Neural Syst. 1995, 6(3):359-388.
    • (1995) Network: Comput. Neural Syst. , vol.6 , Issue.3 , pp. 359-388
    • Amit, D.1    Brunel, N.2
  • 3
    • 0032407972 scopus 로고    scopus 로고
    • Neural activity in the primate prefrontal cortex during associative learning
    • Asaad W.F., Rainer G., Miller E.K. Neural activity in the primate prefrontal cortex during associative learning. Neuron 1998, 21(6):1399-1407.
    • (1998) Neuron , vol.21 , Issue.6 , pp. 1399-1407
    • Asaad, W.F.1    Rainer, G.2    Miller, E.K.3
  • 4
    • 34548571904 scopus 로고    scopus 로고
    • Expectation modulates neural responses to pleasant and aversive stimuli in primate amygdala
    • Belova M.A., Paton J.J., Morrison S.E., Salzman C.D. Expectation modulates neural responses to pleasant and aversive stimuli in primate amygdala. Neuron 2007, 55(6):970-984.
    • (2007) Neuron , vol.55 , Issue.6 , pp. 970-984
    • Belova, M.A.1    Paton, J.J.2    Morrison, S.E.3    Salzman, C.D.4
  • 5
    • 54049104420 scopus 로고    scopus 로고
    • Moment-to-moment tracking of state value in the amygdala
    • Belova M.A., Paton J.J., Salzman C.D. Moment-to-moment tracking of state value in the amygdala. J. Neurosci. 2008, 28(40):10023-10030.
    • (2008) J. Neurosci. , vol.28 , Issue.40 , pp. 10023-10030
    • Belova, M.A.1    Paton, J.J.2    Salzman, C.D.3
  • 6
    • 36248934673 scopus 로고    scopus 로고
    • Learning real-world stimuli in a neural network with spike-driven synaptic dynamics
    • Brader J.M., Senn W., Fusi S. Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural Comput. 2007, 19(11):2881-2912.
    • (2007) Neural Comput. , vol.19 , Issue.11 , pp. 2881-2912
    • Brader, J.M.1    Senn, W.2    Fusi, S.3
  • 7
    • 0030588725 scopus 로고    scopus 로고
    • Hebbian learning of context in recurrent neural networks
    • Brunel N. Hebbian learning of context in recurrent neural networks. Neural Comput. 1996, 8(8):1677-1710.
    • (1996) Neural Comput. , vol.8 , Issue.8 , pp. 1677-1710
    • Brunel, N.1
  • 8
    • 0037236821 scopus 로고    scopus 로고
    • An elementary proof of the Johnson-Lindenstrauss lemma
    • Dasgupta S., Gupta A. An elementary proof of the Johnson-Lindenstrauss lemma. Random Struct. Algorithms 2002, 22:60-65.
    • (2002) Random Struct. Algorithms , vol.22 , pp. 60-65
    • Dasgupta, S.1    Gupta, A.2
  • 9
    • 50549094930 scopus 로고    scopus 로고
    • Bilinearity, rules, and prefrontal cortex
    • Dayan P. Bilinearity, rules, and prefrontal cortex. Front. Comput. Neurosci. 2007, 1:1.
    • (2007) Front. Comput. Neurosci. , vol.1 , pp. 1
    • Dayan, P.1
  • 10
    • 11144307494 scopus 로고    scopus 로고
    • Synaptic and spiking dynamics underlying reward reversal in the orbitofrontal cortex
    • Deco G., Rolls E.T. Synaptic and spiking dynamics underlying reward reversal in the orbitofrontal cortex. Cereb. Cortex 2005, 15(1):15-30.
    • (2005) Cereb. Cortex , vol.15 , Issue.1 , pp. 15-30
    • Deco, G.1    Rolls, E.T.2
  • 12
    • 34147179944 scopus 로고    scopus 로고
    • A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales
    • Fusi S., Asaad W.F., Miller E.K., Wang X.J. A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. Neuron 2007, 54(2):319-333.
    • (2007) Neuron , vol.54 , Issue.2 , pp. 319-333
    • Fusi, S.1    Asaad, W.F.2    Miller, E.K.3    Wang, X.J.4
  • 13
    • 84913828571 scopus 로고
    • Maximum storage capacity in neural networks
    • Gardner E. Maximum storage capacity in neural networks. Europhys. Lett. 1987, 4:481-485.
    • (1987) Europhys. Lett. , vol.4 , pp. 481-485
    • Gardner, E.1
  • 14
    • 22544450474 scopus 로고    scopus 로고
    • Prefrontal cortex activity related to abstract response strategies
    • Genovesio A., Brasted P.J., Mitz A.R., Wise S.P. Prefrontal cortex activity related to abstract response strategies. Neuron 2005, 47(2):307-320.
    • (2005) Neuron , vol.47 , Issue.2 , pp. 307-320
    • Genovesio, A.1    Brasted, P.J.2    Mitz, A.R.3    Wise, S.P.4
  • 15
    • 0002233333 scopus 로고
    • Conversion of temporal correlations between stimuli to spatial correlations between attractors
    • Griniasty M., Tsodyks M.V., Amit D.J. Conversion of temporal correlations between stimuli to spatial correlations between attractors. Neural. Comput. 1993, 5:1-17.
    • (1993) Neural. Comput. , vol.5 , pp. 1-17
    • Griniasty, M.1    Tsodyks, M.V.2    Amit, D.J.3
  • 16
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield J.J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. U. S. A. 1982, 79(8):2554-2558.
    • (1982) Proc. Natl. Acad. Sci. U. S. A. , vol.79 , Issue.8 , pp. 2554-2558
    • Hopfield, J.J.1
  • 17
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • Kaelbling L., Littman M., Cassandra A. Planning and acting in partially observable stochastic domains. Artif. Intell. J. 1998, 101:99-134.
    • (1998) Artif. Intell. J. , vol.101 , pp. 99-134
    • Kaelbling, L.1    Littman, M.2    Cassandra, A.3
  • 18
    • 0007027364 scopus 로고
    • The roles of stability and symmetry in the dynamics of neural networks
    • Krauth W., Nadal J.P., Mézard M. The roles of stability and symmetry in the dynamics of neural networks. J. Phys. A:. Math. Gen. 1988, 21:2995-3011.
    • (1988) J. Phys. A:. Math. Gen. , vol.21 , pp. 2995-3011
    • Krauth, W.1    Nadal, J.P.2    Mézard, M.3
  • 19
    • 51749124671 scopus 로고    scopus 로고
    • Unsupervised natural experience rapidly alters invariant object representation in visual cortex
    • Li N., DiCarlo J.J. Unsupervised natural experience rapidly alters invariant object representation in visual cortex. Science 2008, 321(5895):1502-1507.
    • (2008) Science , vol.321 , Issue.5895 , pp. 1502-1507
    • Li, N.1    DiCarlo, J.J.2
  • 20
    • 29244454294 scopus 로고    scopus 로고
    • Cognitive flexibility and decision-making in a model of conditional visuomotor associations
    • Loh M., Deco G. Cognitive flexibility and decision-making in a model of conditional visuomotor associations. Eur. J. Neurosci. 2005, 22:2927-2936.
    • (2005) Eur. J. Neurosci. , vol.22 , pp. 2927-2936
    • Loh, M.1    Deco, G.2
  • 21
    • 33644820167 scopus 로고    scopus 로고
    • Prefrontal cell activities related to monkeys' success and failure in adapting to rule changes in a Wisconsin card sorting test analog
    • Mansouri F.A., Matsumoto K., Tanaka K. Prefrontal cell activities related to monkeys' success and failure in adapting to rule changes in a Wisconsin card sorting test analog. J. Neurosci. 2006, 26(10):2745-2756.
    • (2006) J. Neurosci. , vol.26 , Issue.10 , pp. 2745-2756
    • Mansouri, F.A.1    Matsumoto, K.2    Tanaka, K.3
  • 22
    • 36049010606 scopus 로고    scopus 로고
    • Mnemonic function of the dorsolateral prefrontal cortex in conflict-induced behavioral adjustment
    • Mansouri F.A., Buckley M.J., Tanaka K. Mnemonic function of the dorsolateral prefrontal cortex in conflict-induced behavioral adjustment. Science 2007, 318(5852):987-990.
    • (2007) Science , vol.318 , Issue.5852 , pp. 987-990
    • Mansouri, F.A.1    Buckley, M.J.2    Tanaka, K.3
  • 24
    • 0023849447 scopus 로고
    • Neuronal correlate of pictorial short-term memory in the primate temporal cortex
    • Miyashita Y., Chang H.S. Neuronal correlate of pictorial short-term memory in the primate temporal cortex. Nature 1988, 331(6151):68-70.
    • (1988) Nature , vol.331 , Issue.6151 , pp. 68-70
    • Miyashita, Y.1    Chang, H.S.2
  • 25
    • 40849102598 scopus 로고    scopus 로고
    • Synaptic theory of working memory
    • Mongillo G., Barak O., Tsodyks M. Synaptic theory of working memory. Science 2008, 319(5869):1543-1546.
    • (2008) Science , vol.319 , Issue.5869 , pp. 1543-1546
    • Mongillo, G.1    Barak, O.2    Tsodyks, M.3
  • 26
    • 70349146265 scopus 로고    scopus 로고
    • The convergence of information about rewarding and aversive stimuli in single neurons
    • Morrison S., Salzman C.D. The convergence of information about rewarding and aversive stimuli in single neurons. J. Neurosci. 2009, 29(37):11471-11483.
    • (2009) J. Neurosci. , vol.29 , Issue.37 , pp. 11471-11483
    • Morrison, S.1    Salzman, C.D.2
  • 28
    • 33644927837 scopus 로고    scopus 로고
    • Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia
    • O'Reilly R.C., Frank M.J. Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia. Neural Comput. 2006, 18(2):283-328.
    • (2006) Neural Comput. , vol.18 , Issue.2 , pp. 283-328
    • O'Reilly, R.C.1    Frank, M.J.2
  • 29
    • 14544291512 scopus 로고    scopus 로고
    • Different time courses of learning-related activity in the prefrontal cortex and striatum
    • Pasupathy A., Miller E.K. Different time courses of learning-related activity in the prefrontal cortex and striatum. Nature 2005, 433(7028):873-876.
    • (2005) Nature , vol.433 , Issue.7028 , pp. 873-876
    • Pasupathy, A.1    Miller, E.K.2
  • 30
    • 32844469435 scopus 로고    scopus 로고
    • The primate amygdala represents the positive and negative value of visual stimuli during learning
    • Paton J.J., Belova M.A., Morrison S.E., Salzman C.D. The primate amygdala represents the positive and negative value of visual stimuli during learning. Nature 2006, 439(7078):865-870.
    • (2006) Nature , vol.439 , Issue.7078 , pp. 865-870
    • Paton, J.J.1    Belova, M.A.2    Morrison, S.E.3    Salzman, C.D.4
  • 31
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner L.R. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 1989, 77(2):257-286.
    • (1989) Proc. IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 33
    • 77954386327 scopus 로고    scopus 로고
    • Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses. Submitted to Nature Neuroscience.
    • Rigotti, M., Ben Dayan Rubin, D., Wang, X.J., and Fusi, S., (submitted for publication). Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses. Submitted to Nature Neuroscience.
    • Rigotti, M.1    Ben Dayan Rubin, D.2    Wang, X.J.3    Fusi, S.4
  • 34
    • 0034320535 scopus 로고    scopus 로고
    • A model of invariant object recognition in the visual system: learning rules, activation functions, lateral inhibition, and information-based performance measures
    • Rolls E.T., Milward T. A model of invariant object recognition in the visual system: learning rules, activation functions, lateral inhibition, and information-based performance measures. Neural Comput. 2000, 12(11):2547-2572.
    • (2000) Neural Comput. , vol.12 , Issue.11 , pp. 2547-2572
    • Rolls, E.T.1    Milward, T.2
  • 35
    • 77954384295 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F., 1958. The perceptron: A probabilistic model for information storage and organization in the brain, volume 65.
    • (1958) , vol.65
    • Rosenblatt, F.1
  • 36
    • 0035957369 scopus 로고    scopus 로고
    • Forming classes by stimulus frequency: behavior and theory
    • Rosenthal O., Fusi S., Hochstein S. Forming classes by stimulus frequency: behavior and theory. Proc. Natl. Acad. Sci. U. S. A. 2001, 98(7):4265-4270.
    • (2001) Proc. Natl. Acad. Sci. U. S. A. , vol.98 , Issue.7 , pp. 4265-4270
    • Rosenthal, O.1    Fusi, S.2    Hochstein, S.3
  • 38
    • 77954382819 scopus 로고    scopus 로고
    • Emotion, cognition and mental state representation in amygdala and prefrontal cortex. Annual Review of Neuroscience.
    • Salzman, C.D. and Fusi, S., (in press). Emotion, cognition and mental state representation in amygdala and prefrontal cortex. Annual Review of Neuroscience.
    • Salzman, C.D.1    Fusi, S.2
  • 40
    • 23944472208 scopus 로고    scopus 로고
    • Learning only when necessary: better memories of correlated patterns in networks with bounded synapses
    • Senn W., Fusi S. Learning only when necessary: better memories of correlated patterns in networks with bounded synapses. Neural Comput. 2005, 17(10):2106-2138.
    • (2005) Neural Comput. , vol.17 , Issue.10 , pp. 2106-2138
    • Senn, W.1    Fusi, S.2
  • 41
    • 33645566919 scopus 로고    scopus 로고
    • A biophysically based neural model of matching law behavior: melioration by stochastic synapses
    • Soltani A., Wang X.J. A biophysically based neural model of matching law behavior: melioration by stochastic synapses. J. Neurosci. 2006, 26(14):3731-3744.
    • (2006) J. Neurosci. , vol.26 , Issue.14 , pp. 3731-3744
    • Soltani, A.1    Wang, X.J.2
  • 42
    • 0001553626 scopus 로고
    • Temporal association in asymmetric neural networks
    • Sompolinsky H., Kanter I. Temporal association in asymmetric neural networks. Phys. Rev. Lett. 1986, 57(22):2861-2864.
    • (1986) Phys. Rev. Lett. , vol.57 , Issue.22 , pp. 2861-2864
    • Sompolinsky, H.1    Kanter, I.2
  • 44
    • 0035927798 scopus 로고    scopus 로고
    • Single neurons in prefrontal cortex encode abstract rules
    • Wallis J.D., Anderson K.C., Miller E.K. Single neurons in prefrontal cortex encode abstract rules. Nature 2001, 411(6840):953-956.
    • (2001) Nature , vol.411 , Issue.6840 , pp. 953-956
    • Wallis, J.D.1    Anderson, K.C.2    Miller, E.K.3
  • 45
    • 0037028039 scopus 로고    scopus 로고
    • Probabilistic decision making by slow reverberation in cortical circuits
    • Wang X.J. Probabilistic decision making by slow reverberation in cortical circuits. Neuron 2002, 36(5):955-968.
    • (2002) Neuron , vol.36 , Issue.5 , pp. 955-968
    • Wang, X.J.1
  • 46
    • 33644686010 scopus 로고    scopus 로고
    • Inter-trial neuronal activity in inferior temporal cortex: a putative vehicle to generate long-term visual associations
    • Yakovlev V., Fusi S., Berman E., Zohary E. Inter-trial neuronal activity in inferior temporal cortex: a putative vehicle to generate long-term visual associations. Nat. Neurosci. 1998, 1(4):310-317.
    • (1998) Nat. Neurosci. , vol.1 , Issue.4 , pp. 310-317
    • Yakovlev, V.1    Fusi, S.2    Berman, E.3    Zohary, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.