| Year |
Citation |
Score |
| 2022 |
Sarno S, Beirán M, Falcó-Roget J, Diaz-deLeon G, Rossi-Pool R, Romo R, Parga N. Dopamine firing plays a dual role in coding reward prediction errors and signaling motivation in a working memory task. Proceedings of the National Academy of Sciences of the United States of America. 119. PMID 34992139 DOI: 10.1073/pnas.2113311119 |
0.332 |
|
| 2020 |
Perez-Zabalza M, Reig R, Manrique J, Jercog D, Winograd M, Parga N, Sanchez-Vives MV. Modulation of cortical slow oscillatory rhythm by GABA receptors: an in vitro experimental and computational study. The Journal of Physiology. PMID 32406934 DOI: 10.1113/Jp279476 |
0.757 |
|
| 2017 |
Sarno S, de Lafuente V, Romo R, Parga N. Dopamine reward prediction error signal codes the temporal evaluation of a perceptual decision report. Proceedings of the National Academy of Sciences of the United States of America. PMID 29133424 DOI: 10.1073/Pnas.1712479114 |
0.425 |
|
| 2016 |
Rossi-Pool R, Salinas E, Zainos A, Alvarez M, Vergara J, Parga N, Romo R. Emergence of an abstract categorical code enabling the discrimination of temporally structured tactile stimuli. Proceedings of the National Academy of Sciences of the United States of America. PMID 27872293 DOI: 10.1073/Pnas.1618196113 |
0.464 |
|
| 2015 |
Carnevale F, de Lafuente V, Romo R, Barak O, Parga N. Dynamic Control of Response Criterion in Premotor Cortex during Perceptual Detection under Temporal Uncertainty. Neuron. 86: 1067-77. PMID 25959731 DOI: 10.1016/J.Neuron.2015.04.014 |
0.448 |
|
| 2014 |
Sarno S, de Lafuente V, Romo R, Parga N. The dopamine signal in decision-making tasks with stimulus and timing uncertainty Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P71 |
0.431 |
|
| 2014 |
Carnevale F, Barak O, de Lafuente V, Romo R, Parga N. Neural dynamics of perceptual detection under temporal uncertainty Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P70 |
0.333 |
|
| 2013 |
Carnevale F, de Lafuente V, Romo R, Parga N. An optimal decision population code that accounts for correlated variability unambiguously predicts a subject's choice. Neuron. 80: 1532-43. PMID 24268419 DOI: 10.1016/J.Neuron.2013.09.023 |
0.47 |
|
| 2013 |
Carnevale F, de Lafuente V, Romo R, Parga N. The role of neural correlations in a decision-making task Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-O10 |
0.54 |
|
| 2013 |
Parga N. Towards a self-consistent description of irregular and asynchronous cortical activity Journal of Statistical Mechanics: Theory and Experiment. 2013. DOI: 10.1088/1742-5468/2013/03/P03010 |
0.476 |
|
| 2012 |
Carnevale F, de Lafuente V, Romo R, Parga N. Internal signal correlates neural populations and biases perceptual decision reports. Proceedings of the National Academy of Sciences of the United States of America. 109: 18938-43. PMID 23112203 DOI: 10.1073/Pnas.1216799109 |
0.461 |
|
| 2011 |
Manrique J, Renart A, de la Rocha J, Parga N. Scaling of temporal correlations in densely connected networks of LIF neurons Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P249 |
0.781 |
|
| 2010 |
Renart A, de la Rocha J, Bartho P, Hollender L, Parga N, Reyes A, Harris KD. The asynchronous state in cortical circuits. Science (New York, N.Y.). 327: 587-90. PMID 20110507 DOI: 10.1126/Science.1179850 |
0.777 |
|
| 2010 |
Moreno-Bote R, Parga N. Response of integrate-and-fire neurons to noisy inputs filtered by synapses with arbitrary timescales: firing rate and correlations. Neural Computation. 22: 1528-72. PMID 20100073 DOI: 10.1162/Neco.2010.06-09-1036 |
0.745 |
|
| 2009 |
Parga N, Delgado JM. On the role of the scale invariance and the independent components of natural scenes on the receptive fields of simple cells Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P357 |
0.351 |
|
| 2008 |
Moreno-Bote R, Renart A, Parga N. Theory of input spike auto- and cross-correlations and their effect on the response of spiking neurons. Neural Computation. 20: 1651-705. PMID 18254697 DOI: 10.1162/Neco.2008.03-07-497 |
0.816 |
|
| 2008 |
de la Rocha J, Parga N. Thalamocortical transformations of periodic stimuli: the effect of stimulus velocity and synaptic short-term depression in the vibrissa-barrel system. Journal of Computational Neuroscience. 25: 122-40. PMID 18236148 DOI: 10.1007/S10827-007-0068-0 |
0.771 |
|
| 2007 |
Parga N, Abbott LF. Network model of spontaneous activity exhibiting synchronous transitions between up and down States. Frontiers in Neuroscience. 1: 57-66. PMID 18982119 DOI: 10.3389/Neuro.01.1.1.004.2007 |
0.554 |
|
| 2007 |
Renart A, Moreno-Bote R, Wang XJ, Parga N. Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural Computation. 19: 1-46. PMID 17134316 DOI: 10.1162/Neco.2007.19.1.1 |
0.806 |
|
| 2007 |
Moreno-Bote R, Parga N. Theory of spike correlations: a formal description of input and output correlations in spiking neurons Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P43 |
0.757 |
|
| 2006 |
Moreno-Bote R, Parga N. Auto- and crosscorrelograms for the spike response of leaky integrate-and-fire neurons with slow synapses. Physical Review Letters. 96: 028101. PMID 16486646 DOI: 10.1103/Physrevlett.96.028101 |
0.742 |
|
| 2006 |
Delgado JM, Turiel A, Parga N. Receptive fields of simple cells from a taxonomic study of natural images and suppression of scale redundancy Neurocomputing. 69: 1224-1227. DOI: 10.1016/J.Neucom.2005.12.081 |
0.386 |
|
| 2005 |
de la Rocha J, Parga N. Short-term synaptic depression causes a non-monotonic response to correlated stimuli. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 8416-31. PMID 16162924 DOI: 10.1523/Jneurosci.0631-05.2005 |
0.795 |
|
| 2005 |
Moreno-Bote R, Parga N. Membrane potential and response properties of populations of cortical neurons in the high conductance state. Physical Review Letters. 94: 088103. PMID 15783940 DOI: 10.1103/Physrevlett.94.088103 |
0.727 |
|
| 2005 |
Moreno-Bote R, Parga N. Simple model neurons with AMPA and NMDA filters: Role of synaptic time scales Neurocomputing. 65: 441-448. DOI: 10.1016/J.Neucom.2004.10.016 |
0.719 |
|
| 2004 |
Moreno-Bote R, Parga N. Role of synaptic filtering on the firing response of simple model neurons. Physical Review Letters. 92: 028102. PMID 14753971 DOI: 10.1103/Physrevlett.92.028102 |
0.735 |
|
| 2004 |
Turiel A, Delgado JM, Parga N. Learning efficient internal representations from natural image collections Neurocomputing. 58: 915-921. DOI: 10.1016/J.Neucom.2004.01.146 |
0.375 |
|
| 2004 |
de la Rocha J, Moreno R, Parga N. Correlations modulate the non-monotonic response of a neuron with short-term plasticity Neurocomputing. 58: 313-319. DOI: 10.1016/J.Neucom.2004.01.061 |
0.807 |
|
| 2004 |
Moreno R, Parga N. Response of a LIF neuron to inputs filtered with arbitrary time scale Neurocomputing. 58: 197-202. DOI: 10.1016/J.Neucom.2004.01.043 |
0.523 |
|
| 2003 |
Turiel A, Parga N. Role of statistical symmetries in sensory coding: an optimal scale invariant code for vision. Journal of Physiology, Paris. 97: 491-502. PMID 15242659 DOI: 10.1016/J.Jphysparis.2004.01.007 |
0.378 |
|
| 2003 |
Turiel A, Nadal JP, Parga N. Orientational minimal redundancy wavelets: from edge detection to perception. Vision Research. 43: 1061-79. PMID 12676248 DOI: 10.1016/S0042-6989(03)00012-9 |
0.356 |
|
| 2002 |
Moreno R, de la Rocha J, Renart A, Parga N. Response of spiking neurons to correlated inputs. Physical Review Letters. 89: 288101. PMID 12513181 DOI: 10.1103/Physrevlett.89.288101 |
0.773 |
|
| 2002 |
De la Rocha J, Nevado A, Parga N. Information transmission by stochastic synapses with short-term depression: Neural coding and optimization Neurocomputing. 44: 85-90. DOI: 10.1016/S0925-2312(02)00362-4 |
0.793 |
|
| 2002 |
Moreno R, De La Rocha J, Renart A, Parga N. Response of spiking neurons to correlated inputs Physical Review Letters. 89: 288101/1-288101/4. |
0.793 |
|
| 2002 |
Moreno R, Parga N. Firing rate for a generic integrate-and-fire neuron with exponentially correlated input Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 223-228. |
0.451 |
|
| 2002 |
Turiel A, Nadal JP, Parga N. An algorithm for image representation as independent levels of resolution Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 1213-1218. |
0.201 |
|
| 2001 |
Renart A, Moreno R, De la Rocha J, Parga N, Rolls ET. A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition Neurocomputing. 38: 1525-1531. DOI: 10.1016/S0925-2312(01)00548-3 |
0.779 |
|
| 2000 |
Turiel A, Parga N, Ruderman DL, Cronin TW. Multiscaling and information content of natural color images Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 62: 1138-48. PMID 11088572 DOI: 10.1103/Physreve.62.1138 |
0.368 |
|
| 2000 |
Turiel A, Parga N. Multifractal wavelet filter of natural images. Physical Review Letters. 85: 3325-8. PMID 11019332 DOI: 10.1103/Physrevlett.85.3325 |
0.353 |
|
| 2000 |
Elliffe MC, Rolls ET, Parga N, Renart A. A recurrent model of transformation invariance by association. Neural Networks : the Official Journal of the International Neural Network Society. 13: 225-37. PMID 10935762 DOI: 10.1016/S0893-6080(99)00096-9 |
0.722 |
|
| 2000 |
Nevado A, Turiel A, Parga N. Scene dependence of the non-Gaussian scaling properties of natural images. Network (Bristol, England). 11: 131-52. PMID 10880003 DOI: 10.1088/0954-898X_11_2_302 |
0.357 |
|
| 2000 |
Turiel A, Parga N. The multifractal structure of contrast changes In natural images: from sharp edges To textures Neural Computation. 12: 763-93. PMID 10770831 |
0.234 |
|
| 2000 |
Parga N, Nadal JP. Blind source separation with time-dependent mixtures Signal Processing. 80: 2187-2194. DOI: 10.1016/S0165-1684(00)00076-1 |
0.349 |
|
| 2000 |
Renart A, Parga N, Rolls ET. A recurrent model of the interaction between Prefrontal and Inferotemporal cortex in delay tasks Advances in Neural Information Processing Systems. 171-177. |
0.687 |
|
| 1999 |
Renart A, Parga N, Rolls ET. Associative memory properties of multiple cortical modules. Network (Bristol, England). 10: 237-55. PMID 10496475 DOI: 10.1088/0954-898X_10_3_303 |
0.771 |
|
| 1999 |
Renart A, Parga N, Rolls ET. Backward projections in the cerebral cortex: implications for memory storage. Neural Computation. 11: 1349-88. PMID 10423499 DOI: 10.1162/089976699300016278 |
0.742 |
|
| 1999 |
Dominguez DRC, Maravall M, Turiel A, Ciria JC, Parga N. Numerical simulation of a binary communication channel: Comparison between a replica calculation and an exact solution Europhysics Letters. 45: 739-744. DOI: 10.1209/epl/i1999-00230-6 |
0.3 |
|
| 1999 |
Turiel A, Korutcheva E, Parga N. The mutual information of a stochastic binary channel: Validity of the replica symmetry ansatz Journal of Physics a: Mathematical and General. 32: 1875-1894. DOI: 10.1088/0305-4470/32/10/007 |
0.414 |
|
| 1999 |
Renart A, Parga N, Rolls ET. Connected cortical recurrent networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1606: 163-170. DOI: 10.1007/Bfb0098170 |
0.759 |
|
| 1998 |
Nadal JP, Brunel N, Parga N. Nonlinear feedforward networks with stochastic outputs: infomax implies redundancy reduction. Network (Bristol, England). 9: 207-17. PMID 9861986 DOI: 10.1088/0954-898X/9/2/004 |
0.518 |
|
| 1998 |
Parga N, Rolls E. Transform-invariant recognition by association in a recurrent network. Neural Computation. 10: 1507-25. PMID 9698355 DOI: 10.1162/089976698300017287 |
0.462 |
|
| 1998 |
Turiel A, Mato G, Parga N, Nadal JP. Self-similarity properties of natural images resemble those of turbulent flows Physical Review Letters. 80: 1098-1101. DOI: 10.1103/Physrevlett.80.1098 |
0.359 |
|
| 1998 |
Turiel A, Mato G, Parga N, Nadal JP. Self-similarity properties of natural images resemble those of turbulent flows Physical Review Letters. 80: 1098-1101. |
0.204 |
|
| 1997 |
Nadal JP, Parga N. Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches Neural Computation. 9: 1421-1456. DOI: 10.1162/Neco.1997.9.7.1421 |
0.428 |
|
| 1997 |
Korutcheva E, Parga N, Nadal JP. Information processing by a noisy binary channel Network: Computation in Neural Systems. 8: 405-424. DOI: 10.1088/0954-898X_8_4_004 |
0.383 |
|
| 1995 |
Campa A, Del Giudice P, Parga N, Nadal JP. Maximization of mutual information in a linear noisy network: A detailed study Network: Computation in Neural Systems. 6: 449-468. DOI: 10.1088/0954-898X_6_3_010 |
0.486 |
|
| 1995 |
Campa A, Del Giudice P, Parga N, Nadal JP. Mutual information in a linear noisy network Neural Networks For Signal Processing - Proceedings of the Ieee Workshop. 181-190. |
0.31 |
|
| 1994 |
Nadal J, Parga N. Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised Learning Neural Computation. 6: 491-508. DOI: 10.1162/Neco.1994.6.3.491 |
0.348 |
|
| 1994 |
CAMPA A, GIUDICE PD, NADAL J, PARGA N. NEURAL NETWORKS AS OPTIMAL INFORMATION PROCESSORS International Journal of Modern Physics C. 5: 855-862. DOI: 10.1142/S0129183194000994 |
0.448 |
|
| 1994 |
Nadal JP, Parga N. Nonlinear neurons in the low-noise limit: A factorial code maximizes information transfer Network: Computation in Neural Systems. 5: 565-581. DOI: 10.1088/0954-898X_5_4_008 |
0.461 |
|
| 1993 |
Nadal JP, Parga N. Information processing by a perceptron in an unsupervised learning task Network: Computation in Neural Systems. 4: 295-312. DOI: 10.1088/0954-898X_4_3_004 |
0.453 |
|
| 1992 |
Nadal J, Parga N. INFORMATION PROCESSING BY A PERCEPTRON International Journal of Neural Systems. 3: 41-50. DOI: 10.1142/S012906579200036X |
0.39 |
|
| 1992 |
Moukarzel C, Parga N. Q2R simulations of two-dimensional spin glasses Journal of Physics a: Mathematical and General. 25: 765-777. DOI: 10.1088/0305-4470/25/4/016 |
0.339 |
|
| 1992 |
Mato G, Parga N. Generalization properties of multilayered neural networks Journal of Physics a: Mathematical and General. 25: 5047-5054. DOI: 10.1088/0305-4470/25/19/017 |
0.467 |
|
| 1992 |
Moukarzel C, Parga N. Analytic determination of the complex field zeros of REM Journal De Physique I. 2: 251-261. DOI: 10.1051/jp1:1992141 |
0.203 |
|
| 1992 |
Moukarzel C, Parga N. The REM zeros in the complex temperature and magnetic field planes Physica a: Statistical Mechanics and Its Applications. 185: 305-315. DOI: 10.1016/0378-4371(92)90469-7 |
0.336 |
|
| 1991 |
Miranda EN, Parga N. Dynamical phase transitions in the classical Heisenberg model Journal of Physics a: Mathematical and General. 24: 1059-1064. DOI: 10.1088/0305-4470/24/5/020 |
0.333 |
|
| 1991 |
Moukarzel C, Parga N. Numerical complex zeros of the random energy model Physica a: Statistical Mechanics and Its Applications. 177: 24-30. DOI: 10.1016/0378-4371(91)90129-Z |
0.355 |
|
| 1991 |
Mato G, Parga N. Sequences in neural networks with temporal association Zeitschrift FüR Physik B Condensed Matter. 84: 483-486. DOI: 10.1007/Bf01314024 |
0.38 |
|
| 1990 |
Bacci S, Mato G, Parga N. Dynamics of a neural network with hierarchically stored patterns Journal of Physics a: Mathematical and General. 23: 1801-1810. DOI: 10.1088/0305-4470/23/10/020 |
0.401 |
|
| 1989 |
Miranda EN, Parga N. Noise effects in the kauffman model Epl. 10: 293-298. DOI: 10.1209/0295-5075/10/4/002 |
0.351 |
|
| 1989 |
Bacci S, Mato G, Parga N. THE ORGANIZATION OF METASTABLE STATES IN A NEURAL NETWORK WITH HIERARCHICHAL PATTERNS International Journal of Neural Systems. 1: 69-76. DOI: 10.1142/S0129065789000487 |
0.418 |
|
| 1989 |
Moukarzel C, Parga N. On the evaluation of magnetisation fluctuations with Q2R cellular automata Journal of Physics a: Mathematical and General. 22: 943-950. DOI: 10.1088/0305-4470/22/8/011 |
0.354 |
|
| 1989 |
Miranda EN, Parga N. Damage spreading and multifractality in the travelling salesman problem Journal of Physics a: Mathematical and General. 22: L907-L912. DOI: 10.1088/0305-4470/22/18/011 |
0.325 |
|
| 1989 |
Bacci S, Parga N. Ultrametricity, frustration and the graph colouring problem Journal of Physics a: Mathematical and General. 22: 3023-3032. DOI: 10.1088/0305-4470/22/15/018 |
0.319 |
|
| 1989 |
Bacci S, Alfaro J, Wiecko C, Parga N. Numerical analysis of a neural network with hierarchically organized patterns Journal De Physique. 50: 757-767. DOI: 10.1051/Jphys:01989005007075700 |
0.398 |
|
| 1989 |
Parga N. Spin glasses and neural networks Nuclear Physics B (Proceedings Supplements). 10: 332-375. DOI: 10.1016/0920-5632(89)90071-6 |
0.268 |
|
| 1989 |
Parga N. Neural networks as models of associative memories Computer Physics Communications. 55: 77-84. DOI: 10.1016/0010-4655(89)90065-9 |
0.427 |
|
| 1988 |
Miranda EN, Parga N. On the use of spin glass concepts in random automata networks Epl. 6: 297-300. DOI: 10.1209/0295-5075/6/4/003 |
0.371 |
|
| 1988 |
Miranda EN, Parga N. Ultrametricity in the Kauffman model: A numerical test Journal of Physics a: General Physics. 21: L357-L361. DOI: 10.1088/0305-4470/21/6/007 |
0.393 |
|
| 1987 |
Parga N. Overlap distributions and taxonomy analysis of spin glass states with equal weights Journal De Physique. 48: 499-508. DOI: 10.1051/Jphys:01987004804049900 |
0.351 |
|
| 1986 |
Parga N, Virasoro MA. The ultrametric organization of memories in a neural network Journal De Physique. 47: 1857-1864. DOI: 10.1051/Jphys:0198600470110185700 |
0.398 |
|
| 1986 |
Gavela MB, Parga N. Ward identities and chiral anomalies in stochastic quantization Nuclear Physics, Section B. 275: 546-559. DOI: 10.1016/0550-3213(86)90612-7 |
0.385 |
|
| 1986 |
Gavela MB, Parga N. Ward identities and the physical interpretations of anomalies in stochastic quantization Physics Letters B. 174: 319-323. DOI: 10.1016/0370-2693(86)91108-1 |
0.38 |
|
| 1986 |
Parga N, Virasoro MA. ULTRAMETRIC ORGANIZATION OF MEMORIES IN A NEURAL NETWORK. Journal De Physique Paris. 47: 1857-1864. |
0.301 |
|
| 1985 |
Alfaro J, Jengo R, Parga N. Evaluation of critical exponents on the basis of stochastic quantization. Physical Review Letters. 54: 369-372. PMID 10031497 DOI: 10.1103/Physrevlett.54.369 |
0.325 |
|
| 1985 |
Aldazabal G, Gonzalez-Arroyo A, Parga N. The stochastic quantisation of U(N) and SU(N) lattice gauge theory and Langevin equations for the Wilson loops Journal of Physics a: Mathematical and General. 18: 2975-2993. DOI: 10.1088/0305-4470/18/15/023 |
0.33 |
|
| 1985 |
Parga N, Rabinovici E, Schwimmer A. Patterns of two-dimensional supersymmetry breaking: A Monte Carlo study Nuclear Physics, Section B. 255: 383-391. DOI: 10.1016/0550-3213(85)90142-7 |
0.357 |
|
| 1984 |
Parga N, Parisi G, Virasoro MA. NUMERICAL INVESTIGATION OF THE OVERLAP DISTRIBUTION AMONG PURE STATES IN THE SPIN GLASS PHASE. Journal De Physique. Lettres. 45: 1063-1069. DOI: 10.1051/Jphyslet:0198400450220106300 |
0.367 |
|
| 1984 |
Jengo R, Parga N. Stochastic quantization and mean field approximation Physics Letters B. 134: 221-224. DOI: 10.1016/0370-2693(84)90675-0 |
0.342 |
|
| 1983 |
Aldazabal G, Dagotto E, González-Arroyo A, Parga N. Wilson loop Langevin equations for U(1) lattice gauge theory Physics Letters B. 125: 305-307. DOI: 10.1016/0370-2693(83)91289-3 |
0.333 |
|
| 1983 |
Aldazabal GA, Dagotto E, Deza R, Parga N. Strong coupling expansion of the Liouville model Physics Letters B. 125: 81-84. DOI: 10.1016/0370-2693(83)91239-X |
0.36 |
|
| 1983 |
Aldazabal G, Parga N, Okawa M, González-Arroyo A. Large N reduced models and stochastic quantization Physics Letters B. 129: 90-94. DOI: 10.1016/0370-2693(83)90735-9 |
0.381 |
|
| 1982 |
Omero C, Selva AD, Deza R, Parga N, Masperi L. Application of a modified mean-field method to a gauge-invariant variational calculation Physical Review D. 26: 3641-3648. DOI: 10.1103/Physrevd.26.3641 |
0.364 |
|
| 1982 |
Aldazabal G, Parga N. A renormalisation group technique for spin and gauge systems with topological excitations Journal of Physics a: General Physics. 15: 1653-1665. DOI: 10.1088/0305-4470/15/5/025 |
0.208 |
|
| 1982 |
Cardy JL, Parga N. Renormalisation group for the transfer matrix Journal of Physics a: Mathematical and General. 15: L115-L118. DOI: 10.1088/0305-4470/15/3/007 |
0.331 |
|
| 1982 |
Aldazabal G, Parga N. Real-space renormalization group for gases of topological excitations Physics Letters A. 89: 432-436. DOI: 10.1016/0375-9601(82)90806-4 |
0.328 |
|
| 1981 |
Parga N. Finite temperature behavior of topological excitations in lattice compact QED Physics Letters B. 107: 442-445. DOI: 10.1016/0370-2693(81)91225-9 |
0.347 |
|
| 1981 |
Parga N. Continuum limit of the two-dimensional ZN spin model Physics Letters B. 103: 117-120. DOI: 10.1016/0370-2693(81)90683-3 |
0.334 |
|
| 1981 |
Parga N, Van Himbergen JE. Renormalization group studies of phase diagrams of Ising and XY-model films of variable thickness Annals of Physics. 134: 286-325. DOI: 10.1016/0003-4916(81)90212-8 |
0.36 |
|
| 1980 |
Cardy JL, Parga N. On the jump in the superfluid density of helium films Journal of Physics C: Solid State Physics. 13: 571-582. DOI: 10.1088/0022-3719/13/4/015 |
0.33 |
|
| 1980 |
Parga N, Van Himbergen JE. CRITICAL BEHAVIOR OF THE DOUBLE LAYER CLASSICAL XY-MODEL Solid State Communications. 35: 607-610. DOI: 10.1016/0038-1098(80)90592-X |
0.352 |
|
| 1979 |
Parga N, Toussaint D, Fulco JR. Strong-coupling expansion in the large-N limit Physical Review D. 20: 887-894. DOI: 10.1103/Physrevd.20.887 |
0.34 |
|
| 1978 |
García A, García Canal CA, Parga N. Reggeon field theory with a threshold approach to secondary Reggeons Physical Review D. 18: 2684-2689. DOI: 10.1103/Physrevd.18.2684 |
0.347 |
|
| 1976 |
Della Selva A, García A, García Canal CA, Masperi L, Parga N. Thresholds in Reggeon field theory Physics Letters B. 62: 311-314. DOI: 10.1016/0370-2693(76)90083-6 |
0.335 |
|
| 1976 |
García A, García Canal CA, Masperi L, Parga N. Multigap model predictions for ρ and A2 contributions to NN total cross-section Lettere Al Nuovo Cimento Series 2. 16: 213-215. DOI: 10.1007/Bf02746986 |
0.318 |
|
| 1976 |
García A, García Canal CA, Masperi L, Parga N. Rapidity gap expansion for secondary-reggeon-dominated amplitudes Il Nuovo Cimento A. 32: 1-20. DOI: 10.1007/Bf02730035 |
0.367 |
|
| 1975 |
García A, Masperi L, Parga N. Structure of the ρ-singularity in a multicluster model Il Nuovo Cimento A. 25: 377-394. DOI: 10.1007/Bf02820852 |
0.367 |
|
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