Year |
Citation |
Score |
2024 |
Rolls ET, Treves A. A theory of hippocampal function: New developments. Progress in Neurobiology. 238: 102636. PMID 38834132 DOI: 10.1016/j.pneurobio.2024.102636 |
0.51 |
|
2023 |
Ryom KI, Stendardi D, Ciaramelli E, Treves A. Computational constraints on the associative recall of spatial scenes. Hippocampus. PMID 36762712 DOI: 10.1002/hipo.23511 |
0.306 |
|
2021 |
Schönsberg F, Roudi Y, Treves A. Efficiency of Local Learning Rules in Threshold-Linear Associative Networks. Physical Review Letters. 126: 018301. PMID 33480759 DOI: 10.1103/PhysRevLett.126.018301 |
0.646 |
|
2020 |
Haluts N, Trippa M, Friedmann N, Treves A. Professional or Amateur? The Phonological Output Buffer as a Working Memory Operator. Entropy (Basel, Switzerland). 22. PMID 33286434 DOI: 10.3390/e22060662 |
0.554 |
|
2020 |
Haluts N, Trippa M, Friedmann N, Treves A. Professional or Amateur? The Phonological Output Buffer as a Working Memory Operator Entropy. 22: 662. DOI: 10.3390/E22060662 |
0.599 |
|
2019 |
Spalla D, Dubreuil A, Rosay S, Monasson R, Treves A. Can Grid Cell Ensembles Represent Multiple Spaces? Neural Computation. 1-24. PMID 31614108 DOI: 10.1162/Neco_A_01237 |
0.382 |
|
2019 |
Stella F, Urdapilleta E, Luo Y, Treves A. Partial coherence and frustration in self-organizing spherical grids. Hippocampus. PMID 31339190 DOI: 10.1002/hipo.23144 |
0.341 |
|
2018 |
Boboeva V, Brasselet R, Treves A. The Capacity for Correlated Semantic Memories in the Cortex. Entropy (Basel, Switzerland). 20. PMID 33266548 DOI: 10.3390/e20110824 |
0.774 |
|
2018 |
Boboeva V, Brasselet R, Treves A. The Capacity for Correlated Semantic Memories in the Cortex Entropy. 20: 824. DOI: 10.3390/e20110824 |
0.786 |
|
2018 |
Naim M, Boboeva V, Kang CJ, Treves A. Reducing a cortical network to a Potts model yields storage capacity estimates Journal of Statistical Mechanics: Theory and Experiment. 2018: 043304. DOI: 10.1088/1742-5468/aab683 |
0.312 |
|
2017 |
Wernle T, Waaga T, Mørreaunet M, Treves A, Moser MB, Moser EI. Integration of grid maps in merged environments. Nature Neuroscience. PMID 29230051 DOI: 10.1038/S41593-017-0036-6 |
0.755 |
|
2017 |
Urdapilleta E, Si B, Treves A. Self-organization of modular activity of grid cells. Hippocampus. PMID 28768062 DOI: 10.1002/Hipo.22765 |
0.722 |
|
2017 |
Kang C, Naim M, Boboeva V, Treves A. Life on the Edge: Latching Dynamics in a Potts Neural Network Entropy. 19: 468. DOI: 10.3390/e19090468 |
0.348 |
|
2017 |
Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Treves A, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1 |
0.6 |
|
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, ... ... Treves A, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0371-2 |
0.722 |
|
2017 |
Denham S, Poirazi P, De Schutter E, Friston K, Chan HK, Nowotny T, Han D, Hong S, Rosay S, Wernle T, Treves A, Goethals S, Brette R, Van Pottelbergh T, Sepulchre R, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0370-3 |
0.573 |
|
2016 |
Kulkarni R, Rothstein S, Treves A. A Neural Network Perspective on the Syntactic-Semantic Association between Mass and Count Nouns Journal of Advances in Linguistics. 6: 964-976. DOI: 10.24297/JAL.V6I2.5176 |
0.345 |
|
2015 |
Urdapilleta E, Troiani F, Stella F, Treves A. Can rodents conceive hyperbolic spaces? Journal of the Royal Society, Interface / the Royal Society. 12. PMID 25948611 DOI: 10.1098/rsif.2014.1214 |
0.343 |
|
2015 |
Stella F, Treves A. The self-organization of grid cells in 3D. Elife. 4. PMID 25821989 DOI: 10.7554/eLife.05913 |
0.341 |
|
2014 |
Alme CB, Miao C, Jezek K, Treves A, Moser EI, Moser MB. Place cells in the hippocampus: eleven maps for eleven rooms. Proceedings of the National Academy of Sciences of the United States of America. 111: 18428-35. PMID 25489089 DOI: 10.1073/Pnas.1421056111 |
0.733 |
|
2014 |
Song S, Yao H, Treves A. A modular latching chain. Cognitive Neurodynamics. 8: 37-46. PMID 24465284 DOI: 10.1007/s11571-013-9261-1 |
0.357 |
|
2013 |
Stella F, Si B, Kropff E, Treves A. Grid maps for spaceflight, anyone? They are for free! The Behavioral and Brain Sciences. 36: 566-7; discussion 57. PMID 24103622 DOI: 10.1017/S0140525X13000575 |
0.773 |
|
2013 |
Si B, Treves A. A model for the differentiation between grid and conjunctive units in medial entorhinal cortex. Hippocampus. 23: 1410-24. PMID 23966345 DOI: 10.1002/Hipo.22194 |
0.722 |
|
2013 |
Cerasti E, Treves A. The spatial representations acquired in CA3 by self-organizing recurrent connections. Frontiers in Cellular Neuroscience. 7: 112. PMID 23882184 DOI: 10.3389/Fncel.2013.00112 |
0.812 |
|
2013 |
Stella F, Cerasti E, Treves A. Unveiling the metric structure of internal representations of space. Frontiers in Neural Circuits. 7: 81. PMID 23637653 DOI: 10.3389/Fncir.2013.00081 |
0.804 |
|
2013 |
Stella F, Monasson R, Treves A. Continuous or dicrete? Attractor dynamics and spatial representations in a model of the hippocampal network Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P397 |
0.444 |
|
2013 |
Stella F, Si B, Kropf E, Treves A. A model for greed cells in 3-D environments Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P396 |
0.719 |
|
2013 |
Stella F, Si B, Kropff E, Treves A. Grid cells on the ball Journal of Statistical Mechanics: Theory and Experiment. 2013. DOI: 10.1088/1742-5468/2013/03/P03013 |
0.781 |
|
2012 |
Russo E, Treves A. Cortical free-association dynamics: distinct phases of a latching network. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 051920. PMID 23004800 DOI: 10.1103/Physreve.85.051920 |
0.558 |
|
2012 |
Si B, Kropff E, Treves A. Grid alignment in entorhinal cortex. Biological Cybernetics. 106: 483-506. PMID 22892761 DOI: 10.1007/S00422-012-0513-7 |
0.792 |
|
2012 |
Stella F, Cerasti E, Si B, Jezek K, Treves A. Self-organization of multiple spatial and context memories in the hippocampus. Neuroscience and Biobehavioral Reviews. 36: 1609-25. PMID 22192880 DOI: 10.1016/J.Neubiorev.2011.12.002 |
0.802 |
|
2012 |
Akrami A, Russo E, Treves A. Lateral thinking, from the Hopfield model to cortical dynamics. Brain Research. 1434: 4-16. PMID 21839426 DOI: 10.1016/J.Brainres.2011.07.030 |
0.753 |
|
2012 |
Pirmoradian S, Treves A. A talkative Potts attractor neural network welcomes BLISS words Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P21 |
0.795 |
|
2011 |
Jezek K, Henriksen EJ, Treves A, Moser EI, Moser MB. Theta-paced flickering between place-cell maps in the hippocampus. Nature. 478: 246-9. PMID 21964339 DOI: 10.1038/Nature10439 |
0.741 |
|
2011 |
Stella F, Treves A. Associative memory storage and retrieval: involvement of theta oscillations in hippocampal information processing. Neural Plasticity. 2011: 683961. PMID 21961072 DOI: 10.1155/2011/683961 |
0.394 |
|
2011 |
Rolls ET, Treves A. The neuronal encoding of information in the brain. Progress in Neurobiology. 95: 448-90. PMID 21907758 DOI: 10.1016/j.pneurobio.2011.08.002 |
0.545 |
|
2011 |
Stella F, Treves A. Reorganization of spatial maps in the hippocampal circuit Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P340 |
0.397 |
|
2011 |
Russo E, Treves A. Free concepts association: a neural model Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P339 |
0.563 |
|
2011 |
Pirmoradian S, Treves A. BLISS: An Artificial Language for Learnability Studies Cognitive Computation. 3: 539-553. DOI: 10.1007/S12559-011-9113-4 |
0.758 |
|
2011 |
Russo E, Pirmoradian S, Treves A. Associative Latching Dynamics vs. Syntax Springer Netherlands. 111-115. DOI: 10.1007/978-90-481-9695-1_17 |
0.799 |
|
2010 |
Cerasti E, Treves A. How informative are spatial CA3 representations established by the dentate gyrus? Plos Computational Biology. 6: e1000759. PMID 20454678 DOI: 10.1371/Journal.Pcbi.1000759 |
0.799 |
|
2010 |
Daelli V, Treves A. Neural attractor dynamics in object recognition. Experimental Brain Research. 203: 241-8. PMID 20437171 DOI: 10.1007/S00221-010-2243-1 |
0.797 |
|
2010 |
Daelli V, van Rijsbergen NJ, Treves A. How recent experience affects the perception of ambiguous objects. Brain Research. 1322: 81-91. PMID 20122901 DOI: 10.1016/J.Brainres.2010.01.060 |
0.764 |
|
2010 |
Furl N, van Rijsbergen NJ, Kiebel SJ, Friston KJ, Treves A, Dolan RJ. Modulation of perception and brain activity by predictable trajectories of facial expressions. Cerebral Cortex (New York, N.Y. : 1991). 20: 694-703. PMID 19617291 DOI: 10.1093/Cercor/Bhp140 |
0.758 |
|
2009 |
Si B, Treves A. The role of competitive learning in the generation of DG fields from EC inputs. Cognitive Neurodynamics. 3: 177-87. PMID 19301148 DOI: 10.1007/S11571-009-9079-Z |
0.708 |
|
2009 |
Akrami A, Liu Y, Treves A, Jagadeesh B. Converging neuronal activity in inferior temporal cortex during the classification of morphed stimuli. Cerebral Cortex (New York, N.Y. : 1991). 19: 760-76. PMID 18669590 DOI: 10.1093/cercor/bhn125 |
0.764 |
|
2009 |
Si B, Treves A. Modeling Rate Remapping in Dentate Gyrus Frontiers in Neuroinformatics. 3. DOI: 10.3389/Conf.Neuro.11.2009.08.094 |
0.676 |
|
2009 |
Akrami A, Treves A. Neural basis of perceptual expectations: insights from transient dynamics of attractor neural networks Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P174 |
0.719 |
|
2009 |
Cerasti E, Treves A. The spatial information content of DG inputs Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P111 |
0.787 |
|
2008 |
Kropff E, Treves A. The emergence of grid cells: Intelligent design or just adaptation? Hippocampus. 18: 1256-69. PMID 19021261 DOI: 10.1002/Hipo.20520 |
0.761 |
|
2008 |
Treves A, Tashiro A, Witter MP, Moser EI. What is the mammalian dentate gyrus good for? Neuroscience. 154: 1155-72. PMID 18554812 DOI: 10.1016/j.neuroscience.2008.04.073 |
0.721 |
|
2008 |
Roudi Y, Treves A. Representing where along with what information in a model of a cortical patch. Plos Computational Biology. 4: e1000012. PMID 18369416 DOI: 10.1371/journal.pcbi.1000012 |
0.723 |
|
2008 |
Russo E, Namboodiri VMK, Treves A, Kropff E. Free association transitions in models of cortical latching dynamics New Journal of Physics. 10. DOI: 10.1088/1367-2630/10/1/015008 |
0.755 |
|
2008 |
Goodhill G, Baker C, Balasubramanian V, Bazhenov M, Beck J, Becker S, Bethge M, Boahen K, Boden M, Bonin V, Bouret S, Fairhall A, Flash T, French R, Gillies A, ... ... Treves A, et al. Network: Computation in Neural Systems: Editorial Network: Computation in Neural Systems. 19: 1-2. DOI: 10.1080/09548980801915409 |
0.77 |
|
2008 |
Kropff E, Treves A. Semantic cognition: Distributed, but then attractive Behavioral and Brain Sciences. 31: 718-719. DOI: 10.1017/S0140525X08005943 |
0.73 |
|
2007 |
Kropff E, Treves A. Uninformative memories will prevail: the storage of correlated representations and its consequences. Hfsp Journal. 1: 249-62. PMID 19404425 DOI: 10.2976/1.2793335 |
0.771 |
|
2007 |
Papp G, Witter MP, Treves A. The CA3 network as a memory store for spatial representations. Learning & Memory (Cold Spring Harbor, N.Y.). 14: 732-44. PMID 18007017 DOI: 10.1101/lm.687407 |
0.414 |
|
2007 |
Lauro-Grotto R, Ciaramelli E, Piccini C, Treves A. Differential impact of brain damage on the access mode to memory representations: an information theoretic approach. The European Journal of Neuroscience. 26: 2702-12. PMID 17970724 DOI: 10.1111/j.1460-9568.2007.05881.x |
0.344 |
|
2007 |
Furl N, van Rijsbergen NJ, Treves A, Friston KJ, Dolan RJ. Experience-dependent coding of facial expression in superior temporal sulcus. Proceedings of the National Academy of Sciences of the United States of America. 104: 13485-9. PMID 17684100 DOI: 10.1073/Pnas.0702548104 |
0.769 |
|
2007 |
Furl N, van Rijsbergen NJ, Treves A, Dolan RJ. Face adaptation aftereffects reveal anterior medial temporal cortex role in high level category representation. Neuroimage. 37: 300-10. PMID 17561416 DOI: 10.1016/J.Neuroimage.2007.04.057 |
0.764 |
|
2007 |
Fyhn M, Hafting T, Treves A, Moser MB, Moser EI. Hippocampal remapping and grid realignment in entorhinal cortex. Nature. 446: 190-4. PMID 17322902 DOI: 10.1038/Nature05601 |
0.812 |
|
2007 |
Treves A, McIntosh AR, Tulving E, Tsodyks M. Coding and representation Science of Memory: Concepts. DOI: 10.1093/acprof:oso/9780195310443.003.0004 |
0.522 |
|
2007 |
Menghini F, van Rijsbergen N, Treves A. Modelling adaptation aftereffects in associative memory Neurocomputing. 70: 2000-2004. DOI: 10.1016/j.neucom.2006.10.081 |
0.79 |
|
2007 |
Kropff E, Treves A. The complexity of latching transitions in large scale cortical networks Natural Computing. 6: 169-185. DOI: 10.1007/S11047-006-9019-3 |
0.737 |
|
2006 |
Anishchenko A, Treves A. Autoassociative memory retrieval and spontaneous activity bumps in small-world networks of integrate-and-fire neurons. Journal of Physiology, Paris. 100: 225-36. PMID 17320359 DOI: 10.1016/j.jphysparis.2007.01.004 |
0.709 |
|
2006 |
Ciaramelli E, Lauro-Grotto R, Treves A. Dissociating episodic from semantic access mode by mutual information measures: evidence from aging and Alzheimer's disease. Journal of Physiology, Paris. 100: 142-53. PMID 17084068 DOI: 10.1016/j.jphysparis.2006.09.008 |
0.322 |
|
2006 |
Roudi Y, Treves A. Localized activity profiles and storage capacity of rate-based autoassociative networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 73: 061904. PMID 16906861 DOI: 10.1103/PhysRevE.73.061904 |
0.712 |
|
2006 |
Roudi Y, Treves A. An evolutionary niche for quantitative theoretical analyses? Behavioral and Brain Sciences. 29: 23. DOI: 10.1017/S0140525X06329019 |
0.623 |
|
2006 |
Grüning A, Treves A. Distributed neural blackboards could be more attractive Behavioral and Brain Sciences. 29: 79-80. DOI: 10.1017/S0140525X06319024 |
0.32 |
|
2006 |
Logothetis NK, Romo R, Derdikman D, Barash S, Rizzolatti G, Wolpert DM, Gold JI, Treves A, Diamond ME, Schall JD, Sparks DL. General discussion II Novartis Foundation Symposium. 270: 108-113. |
0.475 |
|
2006 |
Diamond ME, Derdikman D, Treves A, Logothetis NK, Sparks DL, Albright TD, Brecht M, Gold JI, Haggard P. Discussion Novartis Foundation Symposium. 270: 14-17. |
0.472 |
|
2006 |
Diamond ME, Derdikman D, Treves A, Logothetis NK, Sparks DL, Albright TD, Brecht M, Gold JI, Haggard P. Discussion Novartis Foundation Symposium. 270: 14-17. |
0.472 |
|
2006 |
Treves A, Ditterich J, Diamond ME, Schall JD, Gold JI, Wolpert DM, Logothetis NK, Mehler J. Discussion Novartis Foundation Symposium. 270: 126-128. |
0.472 |
|
2006 |
Treves A, Diamond ME, Wolpert DM, Brecht M, Derdikman D, Scott SH, Romo R, Sparks DL, Haggard P, Logothetis NK, Schall JD, Rizzolatti G, Porro CA, Esteky H, Barash S. General discussion I Novartis Foundation Symposium. 270: 51-58. |
0.486 |
|
2006 |
Esteky H, Tanifuji M, Logothetis NK, Albright TD, Diamond ME, Treves A, Brecht M, Derdikman D, Haggard P. Discussion Novartis Foundation Symposium. 270: 226-231. |
0.472 |
|
2006 |
Tanifuji M, Rizzolatti G, Tsakiris M, Romo R, Harris JA, Logothetis NK, Diamond ME, Sparks DL, Schall JD, Rumiati RI, Treves A, Derdikman D, Wolpert DM, Gold JI, Dehaene S, et al. General discussion III Novartis Foundation Symposium. 270: 164-169. |
0.483 |
|
2006 |
Porro CA, Rizzolatti G, Rumiati RI, Mehler J, Tanifuji M, Logothetis NK, Scott SH, Krubitzer L, Schall JD, Haggard P, Diamond ME, Barash S, Treves A, Hasson U. DISCUSSION Novartis Foundation Symposium. 270: 140-145. |
0.472 |
|
2006 |
Diamond ME, Rizzolatti G, Haggard P, Scott SH, Logothetis NK, Treves A, Sparks DL, Gold JI, Schall JD, Derdikman D, Albright TD, Barash S, Hasson U, Harris JA, Wolpert DM, et al. Final general discussion Novartis Foundation Symposium. 270: 285-292. |
0.49 |
|
2006 |
Romo R, Rizzolatti G, Albright TD, Logothetis NK, Treves A, Barash S, Diamond ME, Esteky H, Schall JD, Wolpert DM, Haggard P, Scott SH, Derdikman D. General discussion IV Novartis Foundation Symposium. 270: 232-237. |
0.485 |
|
2006 |
Logothetis NK, Gold JI, Treves A, Diamond ME, Wolpert DM, Dehaene S, Haggard P, Schall JD, Scott SH, Romo R. Discussion Novartis Foundation Symposium. 270: 101-107. |
0.472 |
|
2005 |
Treves A. Frontal latching networks: a possible neural basis for infinite recursion. Cognitive Neuropsychology. 22: 276-91. PMID 21038250 DOI: 10.1080/02643290442000329 |
0.38 |
|
2005 |
Leutgeb JK, Leutgeb S, Treves A, Meyer R, Barnes CA, McNaughton BL, Moser MB, Moser EI. Progressive transformation of hippocampal neuronal representations in "morphed" environments. Neuron. 48: 345-58. PMID 16242413 DOI: 10.1016/J.Neuron.2005.09.007 |
0.78 |
|
2005 |
Kropff E, Treves A. The storage capacity of Potts models for semantic memory retrieval Journal of Statistical Mechanics: Theory and Experiment. 199-217. DOI: 10.1088/1742-5468/2005/08/P08010 |
0.754 |
|
2005 |
Treves A, Roudi Y. Course 13 Of the evolution of the brain Les Houches Summer School Proceedings. 80: 641-689. DOI: 10.1016/S0924-8099(05)80019-8 |
0.582 |
|
2004 |
Treves A. Learning to predict through adaptation. Neuroinformatics. 2: 361-6. PMID 15365197 DOI: 10.1385/NI:2:3:361 |
0.398 |
|
2004 |
Leutgeb S, Leutgeb JK, Treves A, Moser MB, Moser EI. Distinct ensemble codes in hippocampal areas CA3 and CA1. Science (New York, N.Y.). 305: 1295-8. PMID 15272123 DOI: 10.1126/Science.1100265 |
0.674 |
|
2004 |
Rolls ET, Aggelopoulos NC, Franco L, Treves A. Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons. Biological Cybernetics. 90: 19-32. PMID 14762721 DOI: 10.1007/s00422-003-0451-5 |
0.783 |
|
2004 |
Franco L, Rolls ET, Aggelopoulos NC, Treves A. The use of decoding to analyze the contribution to the information of the correlations between the firing of simultaneously recorded neurons. Experimental Brain Research. 155: 370-84. PMID 14722699 DOI: 10.1007/s00221-003-1737-5 |
0.784 |
|
2004 |
Roudi Y, Treves A. An associative network with spatially organized connectivity Journal of Statistical Mechanics: Theory and Experiment. DOI: 10.1088/1742-5468/2004/07/P07010 |
0.694 |
|
2003 |
Roudi Y, Treves A. Disappearance of spurious states in analog associative memories. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 041906. PMID 12786395 DOI: 10.1103/Physreve.67.041906 |
0.672 |
|
2003 |
Montagnini A, Treves A. The evolution of mammalian cortex, from lamination to arealization. Brain Research Bulletin. 60: 387-93. PMID 12781326 DOI: 10.1016/S0361-9230(03)00057-1 |
0.403 |
|
2003 |
Treves A. Computational constraints that may have favoured the lamination of sensory cortex. Journal of Computational Neuroscience. 14: 271-82. PMID 12766428 DOI: 10.1023/A:1023213010875 |
0.372 |
|
2002 |
Treves A, Samengo I. Standing on the gateway to memory: Shouldn't we step in? Cognitive Neuropsychology. 19: 557-75. PMID 20957554 DOI: 10.1080/02643290244000095 |
0.357 |
|
2002 |
Bezzi M, Diamond ME, Treves A. Redundancy and synergy arising from pairwise correlations in neuronal ensembles. Journal of Computational Neuroscience. 12: 165-74. PMID 12142549 DOI: 10.1023/A:1016531312091 |
0.615 |
|
2002 |
Del Prete V, Treves A. Replica symmetric evaluation of the information transfer in a two-layer network in the presence of continuous and discrete stimuli. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 65: 041918. PMID 12005884 DOI: 10.1103/PhysRevE.65.041918 |
0.305 |
|
2001 |
Del Prete V, Treves A. Theoretical model of neuronal population coding of stimuli with both continuous and discrete dimensions. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 64: 021912. PMID 11497625 DOI: 10.1103/Physreve.64.021912 |
0.378 |
|
2001 |
Canepari M, Treves A. Characterization of the variability of glutamatergic synaptic responses to presynaptic trains in rat hippocampal pyramidal neurons. Network (Bristol, England). 12: 175-98. PMID 11405421 DOI: 10.1088/0954-898X/12/2/305 |
0.307 |
|
2001 |
Samengo I, Treves A. Representational capacity of a set of independent neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 63: 011910. PMID 11304290 DOI: 10.1103/PhysRevE.63.011910 |
0.362 |
|
2000 |
Settanni G, Treves A. Analytical model for the effects of learning on spike count distributions. Neural Computation. 12: 1773-87. PMID 10953238 DOI: 10.1162/089976600300015132 |
0.336 |
|
1999 |
Panzeri S, Schultz SR, Treves A, Rolls ET. Correlations and the encoding of information in the nervous system. Proceedings. Biological Sciences / the Royal Society. 266: 1001-12. PMID 10610508 DOI: 10.1098/rspb.1999.0736 |
0.745 |
|
1999 |
Panzeri S, Treves A, Schultz S, Rolls ET. On decoding the responses of a population of neurons from short time windows. Neural Computation. 11: 1553-77. PMID 10490938 DOI: 10.1162/089976699300016142 |
0.739 |
|
1999 |
Treves A, Panzeri S, Rolls ET, Booth M, Wakeman EA. Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli. Neural Computation. 11: 601-32. PMID 10085423 DOI: 10.1162/089976699300016593 |
0.665 |
|
1999 |
Schultz SR, Panzeri S, Treves A, Rolls ET. Correlated firing and the information represented by neurons in short epochs Neurocomputing. 26: 499-504. DOI: 10.1016/S0925-2312(99)00040-5 |
0.74 |
|
1998 |
Fulvi Mari C, Treves A. Modeling neocortical areas with a modular neural network. Bio Systems. 48: 47-55. PMID 9886631 DOI: 10.1016/S0303-2647(98)00049-5 |
0.375 |
|
1998 |
Rolls ET, Treves A, Robertson RG, Georges-François P, Panzeri S. Information about spatial view in an ensemble of primate hippocampal cells. Journal of Neurophysiology. 79: 1797-813. PMID 9535949 DOI: 10.1152/Jn.1998.79.4.1797 |
0.681 |
|
1998 |
Battaglia FP, Treves A. Stable and rapid recurrent processing in realistic autoassociative memories. Neural Computation. 10: 431-50. PMID 9472489 DOI: 10.1162/089976698300017827 |
0.697 |
|
1998 |
Battaglia FP, Treves A. Attractor neural networks storing multiple space representations: A model for hippocampal place fields Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 58: 7738-7753. DOI: 10.1103/Physreve.58.7738 |
0.709 |
|
1998 |
Schultz S, Treves A. Stability of the replica-symmetric solution for the information conveyed by a neural network Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 57: 3302-3310. DOI: 10.1103/Physreve.57.3302 |
0.621 |
|
1997 |
Rolls ET, Treves A, Tovee MJ, Panzeri S. Information in the neuronal representation of individual stimuli in the primate temporal visual cortex. Journal of Computational Neuroscience. 4: 309-33. PMID 9427118 DOI: 10.1023/A:1008899916425 |
0.663 |
|
1997 |
Rolls ET, Treves A, Tovee MJ. The representational capacity of the distributed encoding of information provided by populations of neurons in primate temporal visual cortex. Experimental Brain Research. 114: 149-62. PMID 9125461 DOI: 10.1007/PL00005615 |
0.526 |
|
1997 |
Golomb D, Hertz J, Panzeri S, Treves A, Richmond B. How well can we estimate the information carried in neuronal responses from limited samples? Neural Computation. 9: 649-65. PMID 9097477 DOI: 10.1162/Neco.1997.9.3.649 |
0.707 |
|
1997 |
Treves A. Synthesizing synchrony versus dissecting dissonance Behavioral and Brain Sciences. 20: 700-700. DOI: 10.1017/s0140525x97411603 |
0.31 |
|
1997 |
Rolls ET, Treves A, Foster D, Perez-Vicente C. Simulation studies of the CA3 hippocampal subfield modelled as an attractor neural network Neural Networks. 10: 1559-1569. DOI: 10.1016/S0893-6080(97)00092-0 |
0.439 |
|
1997 |
Treves A, Rolls ET, Simmen M. Time for retrieval in recurrent associative memories Physica D: Nonlinear Phenomena. 107: 392-400. DOI: 10.1016/S0167-2789(97)00107-3 |
0.419 |
|
1997 |
Schultz S, Panzeri S, Treves A, Rolls ET. Analogue resolution in a model of the schaffer collaterals Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 61-66. |
0.625 |
|
1996 |
Panzeri S, Treves A. Analytical estimates of limited sampling biases in different information measures. Network (Bristol, England). 7: 87-107. PMID 29480146 DOI: 10.1080/0954898X.1996.11978656 |
0.532 |
|
1996 |
Simmen MW, Treves A, Rolls ET. Pattern retrieval in threshold-linear associative nets. Network (Bristol, England). 7: 109-122. PMID 29480145 DOI: 10.1080/0954898X.1996.11978657 |
0.54 |
|
1996 |
Panzeri S, Biella G, Rolls ET, Skaggs WE, Treves A. Speed, noise, information and the graded nature of neuronal responses. Network (Bristol, England). 7: 365-70. PMID 16754398 DOI: 10.1088/0954-898X/7/2/018 |
0.628 |
|
1996 |
Treves A, Skaggs WE, Barnes CA. How much of the hippocampus can be explained by functional constraints? Hippocampus. 6: 666-74. PMID 9034853 DOI: 10.1002/(SICI)1098-1063(1996)6:6<666::AID-HIPO9>3.0.CO;2-E |
0.351 |
|
1996 |
Rolls ET, Critchley HD, Treves A. Representation of olfactory information in the primate orbitofrontal cortex. Journal of Neurophysiology. 75: 1982-96. PMID 8734597 DOI: 10.1152/Jn.1996.75.5.1982 |
0.606 |
|
1996 |
Panzeri S, Treves A. Analytical estimates of limited sampling biases in different information measures Network: Computation in Neural Systems. 7: 87-107. |
0.431 |
|
1995 |
Treves A. Quantitative estimate of the information relayed by the Schaffer collaterals. Journal of Computational Neuroscience. 2: 259-72. PMID 8521290 DOI: 10.1007/BF00961437 |
0.34 |
|
1995 |
Treves A, Panzeri S. The Upward Bias in Measures of Information Derived from Limited Data Samples Neural Computation. 7: 399-407. DOI: 10.1162/neco.1995.7.2.399 |
0.526 |
|
1994 |
Treves A, Rolls ET. Computational analysis of the role of the hippocampus in memory. Hippocampus. 4: 374-91. PMID 7842058 DOI: 10.1002/hipo.450040319 |
0.549 |
|
1994 |
Rolls ET, Treves A. Neural networks in the brain involved in memory and recall. Progress in Brain Research. 102: 335-41. PMID 7800823 DOI: 10.1016/S0079-6123(08)60550-6 |
0.475 |
|
1994 |
Barnes CA, Treves A, Rao G, Shen J. Electrophysiological markers of cognitive aging: region specificity and computational consequences Seminars in Neuroscience. 6: 359-367. DOI: 10.1006/smns.1994.1047 |
0.312 |
|
1993 |
Tovée MJ, Rolls ET, Treves A, Bellis RP. Information encoding and the responses of single neurons in the primate temporal visual cortex. Journal of Neurophysiology. 70: 640-54. PMID 8410164 DOI: 10.1152/Jn.1993.70.2.640 |
0.515 |
|
1993 |
Treves A. Mean-Field analysis of neuronal spike dynamics Network: Computation in Neural Systems. 4: 259-284. DOI: 10.1088/0954-898X_4_3_002 |
0.373 |
|
1992 |
Treves A, Rolls ET. Computational constraints suggest the need for two distinct input systems to the hippocampal CA3 network. Hippocampus. 2: 189-99. PMID 1308182 DOI: 10.1002/hipo.450020209 |
0.526 |
|
1992 |
Treves A, Miglino O, Parisi D. Rats, nets, maps, and the emergence of place cells Psychobiology. 20: 1-8. DOI: 10.3758/Bf03327152 |
0.353 |
|
1992 |
Treves A. LOCAL NEOCORTICAL PROCESSING: A TIME FOR RECOGNITION International Journal of Neural Systems. 3: 115-119. DOI: 10.1142/S0129065792000449 |
0.409 |
|
1992 |
O'kane D, Treves A. Why the simplest notion of neocortex as an autoassociative memory would not work Network: Computation in Neural Systems. 3: 379-384. DOI: 10.1088/0954-898X_3_4_002 |
0.381 |
|
1992 |
O'Kane D, Treves A. Short- and long-range connections in autoassociative memory Journal of Physics a: Mathematical and General. 25: 5055-5069. DOI: 10.1088/0305-4470/25/19/018 |
0.374 |
|
1991 |
Treves A, Rolls ET. What determines the capacity of autoassociative memories in the brain? Network: Computation in Neural Systems. 2: 371-397. DOI: 10.1088/0954-898X_2_4_004 |
0.57 |
|
1991 |
Treves A. Are spin-glass effects relevant to understanding realistic auto-associative networks? Journal of Physics a: Mathematical and General. 24: 2645-2654. DOI: 10.1088/0305-4470/24/11/029 |
0.378 |
|
1991 |
Treves A. Dilution and sparse coding in threshold-linear nets Journal of Physics a: Mathematical and General. 24: 327-335. DOI: 10.1088/0305-4470/24/1/038 |
0.317 |
|
1990 |
Treves A. Graded-response neurons and information encodings in autoassociative memories. Physical Review. A. 42: 2418-2430. PMID 9904294 DOI: 10.1103/PhysRevA.42.2418 |
0.396 |
|
1990 |
Rolls ET, Treves A. The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain Network: Computation in Neural Systems. 1: 407-421. DOI: 10.1088/0954-898X_1_4_002 |
0.571 |
|
1990 |
Treves A. Threshold-linear formal neurons in auto-associative nets Journal of Physics a: Mathematical and General. 23: 2631-2650. DOI: 10.1088/0305-4470/23/12/037 |
0.392 |
|
1989 |
Amit DJ, Treves A. Associative memory neural network with low temporal spiking rates. Proceedings of the National Academy of Sciences of the United States of America. 86: 7871-5. PMID 2813363 DOI: 10.1073/Pnas.86.20.7871 |
0.659 |
|
1989 |
Treves A, Amit DJ. Low firing rates: An effective Hamiltonian for excitatory neurons Journal of Physics a: Mathematical and General. 22: 2205-2226. DOI: 10.1088/0305-4470/22/12/020 |
0.637 |
|
1988 |
Treves A, Amit DJ. Metastable states in asymmetrically diluted Hopfield networks Journal of Physics a: Mathematical and General. 21: 3155-3169. DOI: 10.1088/0305-4470/21/14/016 |
0.615 |
|
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