Lateral thinking, from the Hopfield model to cortical dynamics

Brain Research

Volumn 1434, Issue , 2012, Pages 4-16

  Akrami, Athena ^a   Russo, Eleonora ^a   Treves, Alessandro ^a  

^a SISSA   (Italy)

Author keywords

Associative memory; Cortical dynamics; Modular network; Neural computation

Indexed keywords

ANIMAL EXPERIMENT; ASSOCIATIVE MEMORY; BRAIN CORTEX; COGNITION; CONFERENCE PAPER; FATIGUE; MACACA; MENTAL CAPACITY; NERVE CELL NETWORK; NEUROPHYSIOLOGY; NONHUMAN; PRIORITY JOURNAL; THINKING;

ACTION POTENTIALS; CEREBRAL CORTEX; FUNCTIONAL LATERALITY; HUMANS; NEURAL NETWORKS (COMPUTER); THINKING;

MACACA;

EID: 84856612871     PISSN: 00068993     EISSN: 18726240     Source Type: Journal    
DOI: 10.1016/j.brainres.2011.07.030     Document Type: Conference Paper

References (57)

1. M. Abeles Local Cortical Circuits 1982 Springer New York
2. M. Abeles, H. Bergman, E. Margalit, and E. Vaadia Spatiotemporal firing patterns in the frontal cortex of behaving monkeys J. Neurophysiol. 70 1993 1629 1638 (Pubitemid 23326398)
3. A. Akrami, Y. Liu, A. Treves, and B. Jagadeesh Converging neuronal activity in inferior temporal cortex during the classification of morphed stimuli Cereb. Cortex 19 4 2009 760 776
4. D.J. Amit The Hebbian paradigm reintegrated: local reverberations as internal representations Behav. Brain Sci. 18 1995 617 657 (Pubitemid 26053567)
5. D.J. Amit Modeling Brain Function 1989 Cambridge University Press New York
6. D.J. Amit, and N. Brunel Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex Cereb. Cortex 7 1997 237 252 (Pubitemid 27184484)
7. D.J. Amit, H. Gutfreund, and H. Sompolinsky Storing infinite numbers of patterns in a spin-glass model of neural networks Phys. Rev. Lett. 55 14 1985 1530 1533
8. D.J. Amit, H. Gutfreund, and H. Sompolinsky Information storage in neural networks with low levels of activity Phys. Rev. A 35 5 1987 2293 2303
9. D.J. Amit, S. Fusi, and V. Yakovlev Paradigmatic working memory (attractor) cell in IT cortex Neural Comput. 9 5 1997 1071 1092 (Pubitemid 127462792)
10. E. Barkai, and M.E. Hasselmo Modulation of the input/output function of rat piriform cortex pyramidal cells J. Neurophysiol. 72 2 1994 644
11. F.P. Battaglia, and A. Treves Stable and rapid recurrent processing in realistic autoassociative memories Neural Comput. 10 1998 431 450 (Pubitemid 128463160)
12. V. Braitenberg Cortical architectonics: general and areal M.A.B. Brazier, H. Petsche, Architectonics of the Cerebral Cortex 1978 Raven New York 443 465
13. V. Braitenberg, and A. Schüz Anatomy of the Cortex 1991 Springer-Verlag Berlin
14. E. Cerasti, and A. Treves How informative are spatial CA3 representations established by the dentate gyrus? PLoS Comput. Biol. 6 2010 e1000759
15. A. Crisanti, and H. Sompolinsky Dynamics of spin systems with randomly asymmetric bonds: Langevin dynamics and a spherical model Phys. Rev. A 36 10 1987 4922 4939
16. R.M.C. De Almeida, A. Espinosa, and M.A.P. Idiart Concatenated retrieval of correlated stored information in neural networks Phys. Rev. E 74 2006 041912
17. S. Dehaene, M. Kerszberg, and J.P. Changeaux A neuronal model of a global workspace in effortful cognitive tasks Proc. Natl. Acad. Sci. U. S. A. 95 1998 14529 14534 (Pubitemid 28549401)
18. B. Derrida, and Y. Pomeau Random networks of automata: a simple annealed approximation Europhys. Lett. 1 1986 45 49
19. B. Derrida, E. Gardner, and A. Zippelius An exactly soluble asymmetric neural network model Europhys. Lett. 4 1987 167 174
20. E. Domany, W. Kinzel, and R. Meir Layered neural networks J. Phys. A 22 1989 2081 2102
21. L. Franco, E.T. Rolls, N.C. Aggelopoulos, and J.M. Jerez Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex Biol. Cybern. 96 6 2007 547 560 (Pubitemid 46835373)
22. C. Fulvi Mari, and A. Treves Modeling neocortical areas with a modular neural network Biosystems 48 1998 47 55 (Pubitemid 28526561)
23. R.F. Goldberg, C.A. Perfetti, and W. Schneider Perceptual knowledge retrieval activates sensory brain regions J. Neurosci. 26 2006 4917 4921 (Pubitemid 44315333)
24. C. Gros Neural networks with transient state dynamics New J. Phys. 9 2007 art.109
25. H. Gutfreund, J.D. Reger, and A.P. Young The nature of attractors in an asymmetric spin glass with deterministic dynamics J. Phys. A Math. Gen. 21 1988 2775 2797
26. M. Hasselmo, E. Schnell, and E. Barkai Dynamics of learning and recall at excitatory recurrent synapses and cholinergic modulation in rat hippocampal region CA3 J. Neurosci. 15 1995 5249 5262
27. M.D. Hauser, N. Chomsky, and W.T. Fitch The faculty of language: what is it, who has it, and how did it evolve? Science 298 2002 1569 1579 (Pubitemid 35387188)
28. O. Hikosaka, H. Nakahara, M.K. Rand, K. Sakai, X. Lu, K. Nakamura, S. Miyachi, and K. Doya Parallel neural networks for learning sequential procedures Trends Neurosci. 22 10 1999 464 471 (Pubitemid 29447731)
29. J.J. Hopfield Neural networks and physical systems with emergent collective computational abilities Proc. Natl. Acad. Sci. U. S. A. 79 1982 2554 2558
30. I. Kanter Potts-glass models of neural networks Phys. Rev. A 37 1988 2739 2742
31. M. Kawato Internal models for motor control and trajectory planning Curr. Opin. Neurobiol. 9 1999 718 727
32. R. Kree, and A. Zippelius Continuous-time dynamics of asymmetrically diluted neural networks Phys. Rev. A 36 9 1987 4421 4427
33. E. Kropff, and A. Treves The storage capacity of Potts models for semantic memory retrieval J. Stat. Mech. Theory Exp. 2005 P08010
34. D. Marr A theory for cerebral neocortex Proc. R. Soc. Lond. B 176 1970 161 234
35. F. Menghini, N.J. van Rijsbergen, and A. Treves Modelling adaptation aftereffects in associative memory Neurocomputing 70 2007 2000 2004 (Pubitemid 46671096)
36. D. O'Kane, and A. Treves Why the simplest notion of neocortex as an autoassociative memory would not work Network 3 1992 379 384
37. D. O'Kane, and A. Treves Short and long range connections in autoassociative memory J. Phys. A 25 1992 5055 5069
38. G. Papp, and A. Treves Network analysis of the significance of hippocampal subfields S.J.I. Mizumori, Hippocampal Place Fields: Relevance to Learning and Memory 2008 Oxford University Press New York 328 342
39. D.C. Plaut A connectionist approach to word reading and acquired dyslexia: extension to sequential processing Cogn. Sci. 23 1999 543 568
40. F. Pulvermuller A brain perspective on language mechanisms: from discrete neuronal ensembles to serial order Prog. Neurobiol. 67 2002 85 111 (Pubitemid 34786166)
41. A. Renart, N. Parga, and E.T. Rolls Associative memory properties of multiple cortical modules Network 10 1999 237 255
42. E.T. Rolls, and M.J. Tovee Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex J. Neurophysiol. 73 1995 713 726
43. E.T. Rolls, and A. Treves Neural Networks and Brain Function 1998 Oxford UP Oxford
44. E.T. Rolls, H. Critchley, R. Mason, and E.A. Wakeman Orbitofrontal cortex neurons: role in olfactory and visual association learning J. Neurophysiol. 75 1996 1970 1981 (Pubitemid 26159033)
45. Y. Roudi, and J. Hertz Dynamical TAP equations for non-equilibrium Ising spin glasses JSTAT 03 2011 P03031
46. E. Russo, V.M.K. Namboodiri, A. Treves, and E. Kropff Free association transitions in models of cortical latching dynamics New J. Phys. 10 1 2008 015008
47. H. Sompolinsky Neural networks with non-linear synapses and a static noise Phys. Rev. A 34 1986 2571
48. H. Sompolinsky, and I. Kanter Temporal association in asymmetric neural networks Phys. Rev. Lett. 57 22 1986 2861 2864
49. J. Tanji Sequential organization of multiple movements: involvement of cortical motor areas Annu. Rev. Neurosci. 24 2001 631 651 (Pubitemid 32695241)
50. A. Treves Threshold-linear formal neurons in auto-associative nets J. Phys. A 23 1990 2631 2650
51. A. Treves Mean-field analysis of neuronal spike dynamics Netw. Comput. Neural Syst. 4 1993 259 284
52. A. Treves Computational constraints between retrieving the past and predicting the future, and the CA3-CA1 differentiation Hippocampus 14 2004 539 556 (Pubitemid 39107010)
53. A. Treves Frontal latching networks: a possible neural basis for infinite recursion Cogn. Neuropsychol. 21 2005 276 291 (Pubitemid 40812693)
54. A. Treves, and E.T. Rolls What determines the capacity of autoassociative memories in the brain? Network 2 1991 371 397
55. M.V. Tsodyks, and T. Sejnowski Rapid state switching in balanced cortical network models Netw. Comput. Neural Syst. 6 1995 111 124
56. B.D. Winters, and J.M. Reid A distributed cortical representation underlies crossmodal object recognition in rats J. Neurosci. 30 2010 6253 6261
57. D.M. Wolpert Computational approaches to motor control Trends Cogn. Sci. 1 6 1997 209 216 (Pubitemid 127425909)