| Year |
Citation |
Score |
| 2024 |
Bouvier G, Sanzeni A, Hamada E, Brunel N, Scanziani M. Inter- and Intrahemispheric Sources of Vestibular Signals to V1. Biorxiv : the Preprint Server For Biology. PMID 39605728 DOI: 10.1101/2024.11.18.624137 |
0.758 |
|
| 2024 |
Gillett M, Brunel N. Dynamic control of sequential retrieval speed in networks with heterogeneous learning rules. Elife. 12. PMID 39197099 DOI: 10.7554/eLife.88805 |
0.404 |
|
| 2024 |
Feng Y, Brunel N. Attractor neural networks with double well synapses. Plos Computational Biology. 20: e1011354. PMID 38324630 DOI: 10.1371/journal.pcbi.1011354 |
0.38 |
|
| 2023 |
Sanzeni A, Palmigiano A, Nguyen TH, Luo J, Nassi JJ, Reynolds JH, Histed MH, Miller KD, Brunel N. Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys. Neuron. PMID 37865082 DOI: 10.1016/j.neuron.2023.09.018 |
0.822 |
|
| 2023 |
Bachschmid-Romano L, Hatsopoulos NG, Brunel N. Interplay between external inputs and recurrent dynamics during movement preparation and execution in a network model of motor cortex. Elife. 12. PMID 37166452 DOI: 10.7554/eLife.77690 |
0.36 |
|
| 2023 |
Goldt S, Krzakala F, Zdeborová L, Brunel N. Bayesian reconstruction of memories stored in neural networks from their connectivity. Plos Computational Biology. 19: e1010813. PMID 36716332 DOI: 10.1371/journal.pcbi.1010813 |
0.332 |
|
| 2022 |
De Pittà M, Brunel N. Multiple forms of working memory emerge from synapse-astrocyte interactions in a neuron-glia network model. Proceedings of the National Academy of Sciences of the United States of America. 119: e2207912119. PMID 36256810 DOI: 10.1073/pnas.2207912119 |
0.803 |
|
| 2022 |
Feng Y, Brunel N. Storage capacity of networks with discrete synapses and sparsely encoded memories. Physical Review. E. 105: 054408. PMID 35706193 DOI: 10.1103/PhysRevE.105.054408 |
0.351 |
|
| 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 |
0.787 |
|
| 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 |
0.42 |
|
| 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 |
0.813 |
|
| 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 |
0.8 |
|
| 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 |
0.357 |
|
| 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 |
0.741 |
|
| 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 |
0.482 |
|
| 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 |
0.776 |
|
| 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 |
0.699 |
|
| 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 |
0.438 |
|
| 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 |
0.76 |
|
| 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 |
0.466 |
|
| 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 |
0.422 |
|
| 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 |
0.721 |
|
| 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 |
0.464 |
|
| 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 |
0.723 |
|
| 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 |
0.762 |
|
| 2016 |
Brunel N. Is cortical connectivity optimized for storing information? Nature Neuroscience. PMID 27065365 DOI: 10.1038/nn.4286 |
0.497 |
|
| 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 |
0.373 |
|
| 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 |
0.447 |
|
| 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 |
0.397 |
|
| 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 |
0.621 |
|
| 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 |
0.817 |
|
| 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 |
0.806 |
|
| 2015 |
De Pittà M, Brunel N, Volterra A. Astrocytes: Orchestrating synaptic plasticity? Neuroscience. PMID 25862587 DOI: 10.1016/j.neuroscience.2015.04.001 |
0.787 |
|
| 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 |
0.447 |
|
| 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 |
0.384 |
|
| 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 |
0.754 |
|
| 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 |
0.472 |
|
| 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 |
0.724 |
|
| 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 |
0.535 |
|
| 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 |
0.619 |
|
| 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 |
0.807 |
|
| 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 |
0.655 |
|
| 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 |
0.654 |
|
| 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 |
0.73 |
|
| 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 |
0.753 |
|
| 2013 |
Tartaglia EM, Brunel N, Mongillo G. Repetition suppression/enhancement effects as a result of attractor dynamics in local cortical networks Bmc Neuroscience. 14: 277. DOI: 10.1186/1471-2202-14-S1-P277 |
0.452 |
|
| 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 |
0.636 |
|
| 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 |
0.763 |
|
| 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 |
0.712 |
|
| 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 |
0.672 |
|
| 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 |
0.775 |
|
| 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 |
0.733 |
|
| 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 |
0.516 |
|
| 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 |
0.634 |
|
| 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 |
0.68 |
|
| 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 |
0.71 |
|
| 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 |
0.574 |
|
| 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 |
0.734 |
|
| 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 |
0.83 |
|
| 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 |
0.836 |
|
| 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 |
0.779 |
|
| 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 |
0.834 |
|
| 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 |
0.785 |
|
| 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 |
0.678 |
|
| 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 |
0.694 |
|
| 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 |
0.746 |
|
| 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 |
0.468 |
|
| 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 |
0.82 |
|
| 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 |
0.757 |
|
| 2008 |
Brunel N, Hakim V. Sparsely synchronized neuronal oscillations. Chaos (Woodbury, N.Y.). 18: 015113. PMID 18377094 DOI: 10.1063/1.2779858 |
0.788 |
|
| 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 |
0.758 |
|
| 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. |
0.827 |
|
| 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 |
0.527 |
|
| 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 |
0.731 |
|
| 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 |
0.699 |
|
| 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 |
0.794 |
|
| 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 |
0.638 |
|
| 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 |
0.648 |
|
| 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 |
0.638 |
|
| 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 |
0.774 |
|
| 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 |
0.705 |
|
| 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 |
0.776 |
|
| 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 |
0.417 |
|
| 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 |
0.48 |
|
| 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 |
0.802 |
|
| 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 |
0.577 |
|
| 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 |
0.638 |
|
| 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 |
0.662 |
|
| 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 |
0.413 |
|
| 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 |
0.334 |
|
| 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 |
0.784 |
|
| 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 |
0.704 |
|
| 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 |
0.793 |
|
| 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 |
0.466 |
|
| 2001 |
Brunel N, Wang XJ. Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. Journal of Computational Neuroscience. 11: 63-85. PMID 11524578 DOI: 10.1023/A:1011204814320 |
0.313 |
|
| 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 |
0.628 |
|
| 2001 |
Brunel N. Erratum to “Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons” [Journal of Physiology-Paris 94 (5–6) pp. 445–463 (2000)]☆ Journal of Physiology-Paris. 95: 495. DOI: 10.1016/S0928-4257(01)00090-0 |
0.435 |
|
| 2000 |
Brunel N. Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons. Journal of Physiology, Paris. 94: 445-63. PMID 11165912 DOI: 10.1016/S0928-4257(00)01084-6 |
0.51 |
|
| 2000 |
Brunel N. Persistent activity and the single-cell frequency-current curve in a cortical network model. Network (Bristol, England). 11: 261-80. PMID 11128167 DOI: 10.1088/0954-898X_11_4_302 |
0.444 |
|
| 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 |
0.481 |
|
| 2000 |
Brunel N. Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. Journal of Computational Neuroscience. 8: 183-208. PMID 10809012 DOI: 10.1023/A:1008925309027 |
0.479 |
|
| 2000 |
Brunel N. Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons Neurocomputing. 32: 307-312. DOI: 10.1016/S0925-2312(00)00179-X |
0.482 |
|
| 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 |
0.809 |
|
| 1998 |
Brunel N, Trullier O. Plasticity of directional place fields in a model of rodent CA3. Hippocampus. 8: 651-65. PMID 9882023 DOI: 10.1002/(Sici)1098-1063(1998)8:6<651::Aid-Hipo8>3.0.Co;2-L |
0.432 |
|
| 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 |
0.698 |
|
| 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 |
0.628 |
|
| 1998 |
Brunel N, Sergi S. Firing frequency of leaky intergrate-and-fire neurons with synaptic current dynamics. Journal of Theoretical Biology. 195: 87-95. PMID 9802952 DOI: 10.1006/jtbi.1998.0782 |
0.412 |
|
| 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 |
0.671 |
|
| 1998 |
Brunel N, Nadal JP. Mutual information, Fisher information, and population coding. Neural Computation. 10: 1731-57. PMID 9744895 DOI: 10.1162/089976698300017115 |
0.638 |
|
| 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 |
0.711 |
|
| 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 |
0.706 |
|
| 1997 |
Brunel N. Cross-correlations in sparsely connected recurrent networks of spiking neurons Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 31-36. |
0.354 |
|
| 1996 |
Brunel N. Hebbian learning of context in recurrent neural networks. Neural Computation. 8: 1677-710. PMID 8888613 DOI: 10.1162/Neco.1996.8.8.1677 |
0.469 |
|
| 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 |
0.633 |
|
| 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 |
0.733 |
|
| 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 |
0.677 |
|
| 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 |
0.749 |
|
| 1994 |
Brunel N. Dynamics of an attractor neural network converting temporal into spatial correlations Network: Computation in Neural Systems. 5: 449-470. DOI: 10.1088/0954-898X_5_4_003 |
0.508 |
|
| 1994 |
Brunel N. Storage capacity of neural networks: Effect of the fluctuations of the number of active neurons per memory Journal of Physics a: Mathematical and General. 27: 4783-4789. DOI: 10.1088/0305-4470/27/14/009 |
0.435 |
|
| 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 |
0.622 |
|
| 1993 |
Brunel N. Effect of synapse dilution on the memory retrieval in structured attractor neural networks Journal De Physique I. 3: 1693-1715. DOI: 10.1051/Jp1:1993210 |
0.448 |
|
| 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 |
0.595 |
|
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