Nicolas Brunel - Publications

Affiliations: 
2017- Neurobiology, Physics Duke University, Durham, NC 
Area:
Computational neuroscience

100 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Aljadeff J, Gillett M, Pereira Obilinovic U, Brunel N. From synapse to network: models of information storage and retrieval in neural circuits. Current Opinion in Neurobiology. 70: 24-33. PMID 34175521 DOI: 10.1016/j.conb.2021.05.005  0.771
2020 Gillett M, Pereira U, Brunel N. Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning. Proceedings of the National Academy of Sciences of the United States of America. PMID 33177232 DOI: 10.1073/pnas.1918674117  0.39
2020 Sanzeni A, Histed MH, Brunel N. Response nonlinearities in networks of spiking neurons. Plos Computational Biology. 16: e1008165. PMID 32941457 DOI: 10.1371/journal.pcbi.1008165  0.43
2020 Sanzeni A, Akitake B, Goldbach HC, Leedy CE, Brunel N, Histed MH. Inhibition stabilization is a widespread property of cortical networks. Elife. 9. PMID 32598278 DOI: 10.7554/Elife.54875  0.383
2020 Fore TR, Taylor BN, Brunel N, Hull C. Acetylcholine modulates cerebellar granule cell spiking by regulating the balance of synaptic excitation and inhibition. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 32111698 DOI: 10.1523/Jneurosci.2148-19.2020  0.361
2020 Sanzeni A, Akitake B, Goldbach HC, Leedy CE, Brunel N, Histed MH. Author response: Inhibition stabilization is a widespread property of cortical networks Elife. DOI: 10.7554/Elife.54875.Sa2  0.339
2019 Pereira U, Brunel N. Unsupervised Learning of Persistent and Sequential Activity. Frontiers in Computational Neuroscience. 13: 97. PMID 32009924 DOI: 10.3389/fncom.2019.00097  0.467
2018 Bouvier G, Aljadeff J, Clopath C, Bimbard C, Ranft J, Blot A, Nadal JP, Brunel N, Hakim V, Barbour B. Cerebellar learning using perturbations. Elife. 7. PMID 30418871 DOI: 10.7554/Elife.31599  0.773
2018 Martí D, Brunel N, Ostojic S. Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks. Physical Review. E. 97: 062314. PMID 30011528 DOI: 10.1103/PhysRevE.97.062314  0.674
2018 Pereira U, Brunel N. Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data. Neuron. PMID 29909997 DOI: 10.1016/j.neuron.2018.05.038  0.416
2018 Bouvier G, Aljadeff J, Clopath C, Bimbard C, Ranft J, Blot A, Nadal J, Brunel N, Hakim V, Barbour B. Author response: Cerebellar learning using perturbations Elife. DOI: 10.7554/Elife.31599.026  0.759
2017 Tartaglia EM, Brunel N. Bistability and up/down state alternations in inhibition-dominated randomly connected networks of LIF neurons. Scientific Reports. 7: 11916. PMID 28931930 DOI: 10.1038/s41598-017-12033-y  0.434
2017 Titley HK, Brunel N, Hansel C. Toward a Neurocentric View of Learning. Neuron. 95: 19-32. PMID 28683265 DOI: 10.1016/j.neuron.2017.05.021  0.427
2017 Rubchinsky LL, Ahn S, Klijn W, Cumming B, Yates S, Karakasis V, Peyser A, Woodman M, Diaz-Pier S, Deraeve J, Vassena E, Alexander W, Beeman D, Kudela P, Boatman-Reich D, ... ... Brunel N, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0371-2  0.688
2016 Zampini V, Liu JK, Diana MA, Maldonado PP, Brunel N, Dieudonné S. Mechanisms and functional roles of glutamatergic synapse diversity in a cerebellar circuit. Elife. 5. PMID 27642013 DOI: 10.7554/Elife.15872  0.472
2016 Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Brunel N, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6  0.737
2016 De Pittà M, Brunel N. Modulation of Synaptic Plasticity by Glutamatergic Gliotransmission: A Modeling Study. Neural Plasticity. 2016: 7607924. PMID 27195153 DOI: 10.1155/2016/7607924  0.774
2016 Brunel N. Is cortical connectivity optimized for storing information? Nature Neuroscience. PMID 27065365 DOI: 10.1038/nn.4286  0.472
2016 Bouvier G, Higgins D, Spolidoro M, Carrel D, Mathieu B, Léna C, Dieudonné S, Barbour B, Brunel N, Casado M. Burst-Dependent Bidirectional Plasticity in the Cerebellum Is Driven by Presynaptic NMDA Receptors. Cell Reports. 15: 104-16. PMID 27052175 DOI: 10.1016/J.Celrep.2016.03.004  0.375
2016 Dubreuil AM, Brunel N. Storing structured sparse memories in a multi-modular cortical network model. Journal of Computational Neuroscience. PMID 26852335 DOI: 10.1007/s10827-016-0590-z  0.416
2016 Zampini V, Liu JK, Diana MA, Maldonado PP, Brunel N, Dieudonné S. Author response: Mechanisms and functional roles of glutamatergic synapse diversity in a cerebellar circuit Elife. DOI: 10.7554/Elife.15872.016  0.409
2015 Lim S, McKee JL, Woloszyn L, Amit Y, Freedman DJ, Sheinberg DL, Brunel N. Inferring learning rules from distributions of firing rates in cortical neurons. Nature Neuroscience. PMID 26523643 DOI: 10.1038/Nn.4158  0.453
2015 Alemi A, Baldassi C, Brunel N, Zecchina R. A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks. Plos Computational Biology. 11: e1004439. PMID 26291608 DOI: 10.1371/Journal.Pcbi.1004439  0.807
2015 Ostojic S, Szapiro G, Schwartz E, Barbour B, Brunel N, Hakim V. Neuronal morphology generates high-frequency firing resonance. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 7056-68. PMID 25948257 DOI: 10.1523/JNEUROSCI.3924-14.2015  0.802
2015 De Pittà M, Brunel N, Volterra A. Astrocytes: Orchestrating synaptic plasticity? Neuroscience. PMID 25862587 DOI: 10.1016/j.neuroscience.2015.04.001  0.796
2015 Tartaglia EM, Brunel N, Mongillo G. Modulation of network excitability by persistent activity: how working memory affects the response to incoming stimuli. Plos Computational Biology. 11: e1004059. PMID 25695777 DOI: 10.1371/journal.pcbi.1004059  0.421
2014 Tartaglia EM, Mongillo G, Brunel N. On the relationship between persistent delay activity, repetition enhancement and priming. Frontiers in Psychology. 5: 1590. PMID 25657630 DOI: 10.3389/fpsyg.2014.01590  0.366
2014 Barbieri F, Mazzoni A, Logothetis NK, Panzeri S, Brunel N. Stimulus dependence of local field potential spectra: experiment versus theory. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 14589-605. PMID 25355213 DOI: 10.1523/Jneurosci.5365-13.2014  0.746
2014 Hertäg L, Durstewitz D, Brunel N. Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise. Frontiers in Computational Neuroscience. 8: 116. PMID 25278872 DOI: 10.3389/Fncom.2014.00116  0.447
2014 Higgins D, Graupner M, Brunel N. Memory maintenance in synapses with calcium-based plasticity in the presence of background activity. Plos Computational Biology. 10: e1003834. PMID 25275319 DOI: 10.1371/journal.pcbi.1003834  0.721
2014 Dubreuil AM, Amit Y, Brunel N. Memory capacity of networks with stochastic binary synapses. Plos Computational Biology. 10: e1003727. PMID 25101662 DOI: 10.1371/Journal.Pcbi.1003727  0.506
2014 Clopath C, Badura A, De Zeeuw CI, Brunel N. A cerebellar learning model of vestibulo-ocular reflex adaptation in wild-type and mutant mice. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 7203-15. PMID 24849355 DOI: 10.1523/Jneurosci.2791-13.2014  0.65
2014 Brunel N, Hakim V, Richardson MJ. Single neuron dynamics and computation. Current Opinion in Neurobiology. 25: 149-55. PMID 24492069 DOI: 10.1016/j.conb.2014.01.005  0.799
2014 Brunel N, Wang X. Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition Journal of Computational Neuroscience. 37: 593-594. DOI: 10.1007/S10827-014-0506-8  0.649
2013 Clopath C, Brunel N. Optimal properties of analog perceptrons with excitatory weights. Plos Computational Biology. 9: e1002919. PMID 23436991 DOI: 10.1371/journal.pcbi.1002919  0.683
2013 Higgins DC, Graupner M, Brunel N. Memory maintenance in calcium-based plastic synapses in the presence of background activity Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P42  0.653
2013 Barbieri F, Mazzoni A, Logothetis NK, Panzeri S, Brunel N. Input dependence of local field potential spectra: experiment vs theory Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P41  0.743
2013 Clopath C, Badura A, De Zeeuw C, Brunel N. A cerebellar learning model that reproduces the behavior of vestibulo-ocular reflex adaptation in wild-type and knock-out mice Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-O4  0.667
2012 Clopath C, Nadal JP, Brunel N. Storage of correlated patterns in standard and bistable Purkinje cell models. Plos Computational Biology. 8: e1002448. PMID 22570592 DOI: 10.1371/journal.pcbi.1002448  0.77
2012 Graupner M, Brunel N. Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location. Proceedings of the National Academy of Sciences of the United States of America. 109: 3991-6. PMID 22357758 DOI: 10.1073/pnas.1109359109  0.709
2012 Graupner M, Brunel N. Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location (Proceedings of the National Academy of Sciences of the United States of America (2012) 109, 10 (3991-3996) DOI: 10.1073/pnas.1109359109) Proceedings of the National Academy of Sciences of the United States of America. 109: 21551. DOI: 10.1073/pnas.1220044110  0.626
2011 Roxin A, Brunel N, Hansel D, Mongillo G, van Vreeswijk C. On the distribution of firing rates in networks of cortical neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 16217-26. PMID 22072673 DOI: 10.1523/Jneurosci.1677-11.2011  0.765
2011 Mazzoni A, Brunel N, Cavallari S, Logothetis NK, Panzeri S. Cortical dynamics during naturalistic sensory stimulations: experiments and models. Journal of Physiology, Paris. 105: 2-15. PMID 21907800 DOI: 10.1016/J.Jphysparis.2011.07.014  0.728
2011 Ledoux E, Brunel N. Dynamics of networks of excitatory and inhibitory neurons in response to time-dependent inputs. Frontiers in Computational Neuroscience. 5: 25. PMID 21647353 DOI: 10.3389/fncom.2011.00025  0.478
2011 Ostojic S, Brunel N. From spiking neuron models to linear-nonlinear models. Plos Computational Biology. 7: e1001056. PMID 21283777 DOI: 10.1371/journal.pcbi.1001056  0.625
2011 Hamaguchi K, Riehle A, Brunel N. Estimating network parameters from combined dynamics of firing rate and irregularity of single neurons. Journal of Neurophysiology. 105: 487-500. PMID 20719928 DOI: 10.1152/Jn.00858.2009  0.654
2010 Graupner M, Brunel N. Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models. Frontiers in Computational Neuroscience. 4. PMID 20948584 DOI: 10.3389/fncom.2010.00136  0.709
2010 Panzeri S, Brunel N, Logothetis NK, Kayser C. Sensory neural codes using multiplexed temporal scales. Trends in Neurosciences. 33: 111-20. PMID 20045201 DOI: 10.1016/j.tins.2009.12.001  0.572
2010 Mazzoni A, Whittingstall K, Brunel N, Logothetis NK, Panzeri S. Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. Neuroimage. 52: 956-72. PMID 20026218 DOI: 10.1016/J.Neuroimage.2009.12.040  0.726
2009 Ostojic S, Brunel N, Hakim V. How connectivity, background activity, and synaptic properties shape the cross-correlation between spike trains. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 10234-53. PMID 19692598 DOI: 10.1523/JNEUROSCI.1275-09.2009  0.823
2009 Zillmer R, Brunel N, Hansel D. Very long transients, irregular firing, and chaotic dynamics in networks of randomly connected inhibitory integrate-and-fire neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 79: 031909. PMID 19391973 DOI: 10.1103/Physreve.79.031909  0.822
2009 Dugué GP, Brunel N, Hakim V, Schwartz E, Chat M, Lévesque M, Courtemanche R, Léna C, Dieudonné S. Electrical coupling mediates tunable low-frequency oscillations and resonance in the cerebellar Golgi cell network. Neuron. 61: 126-39. PMID 19146818 DOI: 10.1016/J.Neuron.2008.11.028  0.773
2009 Ostojic S, Brunel N, Hakim V. Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities. Journal of Computational Neuroscience. 26: 369-92. PMID 19034642 DOI: 10.1007/s10827-008-0117-3  0.82
2009 Brunel N, Lavigne F. Semantic priming in a cortical network model. Journal of Cognitive Neuroscience. 21: 2300-19. PMID 19016608 DOI: 10.1162/Jocn.2008.21156  0.782
2009 Mazzoni A, Brunel N, Kayser C, Magri C, Logothetis NK, Panzeri S. Information content and robustness of various types of codes in integrate and fire networks presented with naturalistic stimuli Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P95  0.687
2009 Graupner M, Brunel N. A bitable synaptic model with transitions between states induced by calcium dynamics: theory vs experiment Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-O15  0.653
2008 Mazzoni A, Panzeri S, Logothetis NK, Brunel N. Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons. Plos Computational Biology. 4: e1000239. PMID 19079571 DOI: 10.1371/Journal.Pcbi.1000239  0.734
2008 Barbieri F, Brunel N. Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex? Frontiers in Neuroscience. 2: 114-22. PMID 18982114 DOI: 10.3389/neuro.01.003.2008  0.429
2008 Roxin A, Hakim V, Brunel N. The statistics of repeating patterns of cortical activity can be reproduced by a model network of stochastic binary neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 10734-45. PMID 18923048 DOI: 10.1523/Jneurosci.1016-08.2008  0.804
2008 de Solages C, Szapiro G, Brunel N, Hakim V, Isope P, Buisseret P, Rousseau C, Barbour B, Léna C. High-frequency organization and synchrony of activity in the purkinje cell layer of the cerebellum. Neuron. 58: 775-88. PMID 18549788 DOI: 10.1016/J.Neuron.2008.05.008  0.754
2008 Brunel N, Hakim V. Sparsely synchronized neuronal oscillations. Chaos (Woodbury, N.Y.). 18: 015113. PMID 18377094 DOI: 10.1063/1.2779858  0.776
2008 Mazzoni A, Brunel N, Panzeri S. How gamma-band oscillatory activity participates in encoding of naturalistic stimuli in random networks of excitatory and inhibitory neurons Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P115  0.75
2008 Roxin A, Hakim V, Brunel N. The statistics of rapeating patterns of cortical activity can be reproduced by a model network of stochastic binary neurons (Journal of Neuroscience (October 15, 2008) (10734-10745)) Journal of Neuroscience. 28: 1P.  0.763
2007 Barbieri F, Brunel N. Irregular persistent activity induced by synaptic excitatory feedback. Frontiers in Computational Neuroscience. 1: 5. PMID 18946527 DOI: 10.3389/neuro.10.005.2007  0.501
2007 Battaglia D, Brunel N, Hansel D. Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation. Physical Review Letters. 99: 238106. PMID 18233419 DOI: 10.1103/Physrevlett.99.238106  0.714
2007 Graupner M, Brunel N. STDP in a bistable synapse model based on CaMKII and associated signaling pathways. Plos Computational Biology. 3: e221. PMID 18052535 DOI: 10.1371/journal.pcbi.0030221  0.694
2007 Barbour B, Brunel N, Hakim V, Nadal JP. What can we learn from synaptic weight distributions? Trends in Neurosciences. 30: 622-9. PMID 17983670 DOI: 10.1016/j.tins.2007.09.005  0.797
2007 Baldassi C, Braunstein A, Brunel N, Zecchina R. Efficient supervised learning in networks with binary synapses. Proceedings of the National Academy of Sciences of the United States of America. 104: 11079-84. PMID 17581884 DOI: 10.1186/1471-2202-8-S2-S13  0.641
2007 Graupner M, Brunel N. Induction and binary expression of LTP/LTD in a minimal model of the CaMKII system Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P94  0.653
2006 Brunel N, Hansel D. How noise affects the synchronization properties of recurrent networks of inhibitory neurons. Neural Computation. 18: 1066-110. PMID 16595058 DOI: 10.1162/089976606776241048  0.619
2006 Roxin A, Brunel N, Hansel D. Rate models with delays and the dynamics of large networks of spiking neurons Progress of Theoretical Physics Supplement. 161: 68-85. DOI: 10.1143/Ptps.161.68  0.71
2005 Geisler C, Brunel N, Wang XJ. Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges. Journal of Neurophysiology. 94: 4344-61. PMID 16093332 DOI: 10.1152/jn.00510.2004  0.698
2005 Roxin A, Brunel N, Hansel D. Role of delays in shaping spatiotemporal dynamics of neuronal activity in large networks. Physical Review Letters. 94: 238103. PMID 16090506 DOI: 10.1103/Physrevlett.94.238103  0.763
2005 Fourcaud-Trocmé N, Brunel N. Dynamics of the instantaneous firing rate in response to changes in input statistics. Journal of Computational Neuroscience. 18: 311-21. PMID 15830167 DOI: 10.1007/s10827-005-0337-8  0.401
2005 Boucheny C, Brunel N, Arleo A. A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system. Journal of Computational Neuroscience. 18: 205-27. PMID 15714270 DOI: 10.1007/S10827-005-6559-Y  0.442
2004 Brunel N, Hakim V, Isope P, Nadal JP, Barbour B. Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell. Neuron. 43: 745-57. PMID 15339654 DOI: 10.1016/J.Neuron.2004.08.023  0.803
2003 Brunel N, Frégnac Y, Meunier C, Nadal JP. Neuroscience and computation. Journal of Physiology, Paris. 97: 387-90. PMID 15242650 DOI: 10.1016/j.jphysparis.2004.02.001  0.578
2003 Fourcaud-Trocmé N, Hansel D, van Vreeswijk C, Brunel N. How spike generation mechanisms determine the neuronal response to fluctuating inputs. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 23: 11628-40. PMID 14684865 DOI: 10.1523/Jneurosci.23-37-11628.2003  0.624
2003 Mongillo G, Amit DJ, Brunel N. Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network. The European Journal of Neuroscience. 18: 2011-24. PMID 14622234 DOI: 10.1046/j.1460-9568.2003.02908.x  0.653
2003 Brunel N. Dynamics and plasticity of stimulus-selective persistent activity in cortical network models. Cerebral Cortex (New York, N.Y. : 1991). 13: 1151-61. PMID 14576207 DOI: 10.1093/cercor/bhg096  0.392
2003 Brunel N, Latham PE. Firing rate of the noisy quadratic integrate-and-fire neuron. Neural Computation. 15: 2281-306. PMID 14511522 DOI: 10.1162/089976603322362365  0.328
2003 Brunel N, Hakim V, Richardson MJ. Firing-rate resonance in a generalized integrate-and-fire neuron with subthreshold resonance. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 051916. PMID 12786187 DOI: 10.1103/Physreve.67.051916  0.78
2003 Brunel N, Wang XJ. What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance. Journal of Neurophysiology. 90: 415-30. PMID 12611969 DOI: 10.1152/jn.01095.2002  0.7
2003 Richardson MJ, Brunel N, Hakim V. From subthreshold to firing-rate resonance. Journal of Neurophysiology. 89: 2538-54. PMID 12611957 DOI: 10.1152/jn.00955.2002  0.789
2002 Fourcaud N, Brunel N. Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural Computation. 14: 2057-110. PMID 12184844 DOI: 10.1162/089976602320264015  0.457
2001 Brunel N, Chance FS, Fourcaud N, Abbott LF. Effects of synaptic noise and filtering on the frequency response of spiking neurons. Physical Review Letters. 86: 2186-9. PMID 11289886 DOI: 10.1103/PhysRevLett.86.2186  0.622
2000 Compte A, Brunel N, Goldman-Rakic PS, Wang XJ. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cerebral Cortex (New York, N.Y. : 1991). 10: 910-23. PMID 10982751 DOI: 10.1093/Cercor/10.9.910  0.451
1999 Brunel N, Hakim V. Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural Computation. 11: 1621-71. PMID 10490941 DOI: 10.1162/089976699300016179  0.717
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  0.682
1998 Brunel N, Carusi F, Fusi S. Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network. Network (Bristol, England). 9: 123-52. PMID 9861982 DOI: 10.1088/0954-898X_9_1_007  0.631
1998 Brunel N, Nadal JP. Modeling memory: what do we learn from attractor neural networks? Comptes Rendus De L'Acadã©Mie Des Sciences. Sã©Rie Iii, Sciences De La Vie. 321: 249-52. PMID 9759349 DOI: 10.1016/S0764-4469(97)89830-7  0.654
1998 Brunel N, Nadal JP. Mutual information, Fisher information, and population coding. Neural Computation. 10: 1731-57. PMID 9744895 DOI: 10.1162/089976698300017115  0.635
1997 Amit DJ, Brunel N. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cerebral Cortex (New York, N.Y. : 1991). 7: 237-52. PMID 9143444 DOI: 10.1093/Cercor/7.3.237  0.696
1997 Amit DJ, Brunel N. Dynamics of a recurrent network of spiking neurons before and following learning Network: Computation in Neural Systems. 8: 373-404. DOI: 10.1088/0954-898X_8_4_003  0.689
1995 BRUNEL N, ZECCHINA R. A SIMPLE GEOMETRICAL BOUND FOR REPLICA SYMMETRY STABILITY IN NEURAL NETWORKS MODELS Modern Physics Letters B. 9: 1159-1164. DOI: 10.1142/S0217984995001157  0.567
1995 Amit DJ, Brunel N. Learning internal representations in an attractor neural network with analogue neurons Network: Computation in Neural Systems. 6: 359-388. DOI: 10.1088/0954-898X_6_3_004  0.714
1994 Brunel N, Zecchina R. Response functions improving performance in analog attractor neural networks. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 49: R1823-R1826. PMID 9961512 DOI: 10.1103/Physreve.49.R1823  0.567
1994 Amit DJ, Brunel N, Tsodyks MV. Correlations of cortical Hebbian reverberations: theory versus experiment. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 14: 6435-45. PMID 7965048 DOI: 10.1523/Jneurosci.14-11-06435.1994  0.74
1993 Amit DJ, Brunel N. Adequate input for learning in attractor neural networks Network: Computation in Neural Systems. 4: 177-194. DOI: 10.1088/0954-898X_4_2_003  0.61
1992 Brunel N, Nadal JP, Toulouse G. Information capacity of a perceptron Journal of Physics a: Mathematical and General. 25: 5017-5038. DOI: 10.1088/0305-4470/25/19/015  0.598
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