List of publications

on Monday, 21 May 2012. Posted in Publications

  1. A. Vato, M. Semprini, E. Maggiolini, F. D. Szymanski, L. Fadiga, S. Panzeri and F.A. Mussa-Ivaldi (2012) Shaping the dynamics of a bidirectional neural interface. Plos Comput Biol 8(7): e1002578. doi:10.1371/journal.pcbi.1002578
  2. C. Kayser, R.A.A. Ince , S. Panzeri (2012) Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices. PLoS Comput Biol 8(10): e1002717. doi:10.1371/journal.pcbi.1002717
  3. A. Vato, F. D. Szymanski,  M. Semprini, F.A. Mussa-Ivaldi and S. Panzeri (2012) A Bi-directional BMI algorithm with artificial sensory information. In Abstract Book of AREADNE Research in Encoding and Decoding of Neural Ensembles, page 90
  4. A. Maccione, T. Nieus, A. Simi, H. Amin, M. Gandolfo and L. Berdondini. Multi-site electrical stimulation integrated on 4096 high density micro electrode arrays (MEAs) reveals the effective connectivity of dissociated neuronal cultures, Proc. SFN New Orleans, USA, Oct. 13-17 2012, New Orleans, USA.
  5. I. Delis, B. Berret, T. Pozzo and S. Panzeri (2013) Quantitative evaluation of muscle synergy models: a single trial task decoding approach. Front.Comput.Neurosci. 7:8. doi: 10.3389/fncom.2013.00008
  6. H. Safaai, M. von Heimendahl, J.M. Sorando, M.E. Diamond and M. Maravall (2013) Coordinated population activity underlying texture discrimination in rat barrel cortex. Journal of Neuroscience, 33(13):5843-5855 doi:10.1523/JNEUROSCI.3486-12.2013
  7. I .Delis, B. Berret, T. Pozzo and S. Panzeri (2013) A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information. Front. Comput. Neurosci. 7:54. doi: 10.3389/fncom.2013.00054
  8. A. Mazzoni, N.K. Logothetis, S. Panzeri (2013) The information content of Local Field Potentials: experiments and models. In (Quian Quiroga and Panzeri, Eds), Principles of Neural Coding, CRC press, Boca Raton, FL, p. 411-430
  9. R. Quian Quiroga and S. Panzeri (2013) Decoding and information theory in neuroscience. In (Quian Quiroga and Panzeri, Eds), Principles of Neural Coding, CRC press, Boca Raton, FL, p. 411-430
  10. G. Indiveri (2013) Coding in neuromorphic VLSI networks. In (Quian Quiroga and Panzeri, Eds), Principles of Neural Coding, CRC press, Boca Raton, FL, p. 581-596
  11. N. Brunel (2013) Dynamics of neural networks. In (Quian Quiroga and Panzeri, Eds), Principles of Neural Coding, CRC press, Boca Raton, FL, p. 489-512
  12. D. Chicharro, C. Kayser and S. Panzeri, Assessing the role of synchronization and phase coherence in neural communication comparing cortical recordings and integrate-and-fire network models, BMC Neuroscience 2013, 14 (Suppl1):P306.
  13. A. Mazzoni, Z. Yanfang, G. Notaro, S. Panzeri and M. Diamond, Spike timing in rat somatosensory cortex contributes to behavior, BMC Neuroscience 2013, 14(Suppl 1):P109 doi:10.1186/1471-2202-14-S1-P109
  14. S. Panzeri, R.A.A. Ince, M.E. Diamond and C. Kayser (2014) Reading spike timing without a clock: Intrinsic decoding of spike trains, Philosophical Transactions of the Royal Society B-Biological Sciences, vol. B369, pp. 20120467
  15. G.T. Einevoll, C. Kayser, N.K. Logothetis and S. Panzeri (2013) Modelling and analysis of local field potential for studying the function of cortical circuits. Nature Reviews Neuroscience, 14:770-785 doi:10.1038/nrn3618
  16. O. Eschenko, M. Besserve, Y. Murayama, H. Evrard, M. Beyerlein, A. Oeltermann, N.K. Logothetis (2013) BOLD responses associated with hippocampal ripples in the rat brain. Program No. 863.09/KKK7. 2013 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2013. Online
  17. G. Iacono, C. Altafini and V. Torre (2013) Early phase of plasticity-related gene regulation and SRF dependent transcription in the hippocampus, PLoS One, 8(7):e68078
  18. Angotzi G.N., Boi F., Zordan S. and Vato A. (2013) A compact wireless multi-channel system for real-time intracortical microstimulation of behaving rodents. 6th International IEEE/EMBS Conference on Neural Engineering (NER), San Diego, CA (USA), pp.1009-1012, 6-8 Nov. 2013.
  19. T. Nieus, A. Maccione and L. Berdondini, Investigating the interplay between spontaneous and evoked activities in cultured neuronal networks by dimensional reduction techniques, BMC Neuroscience 2013, 14 (Suppl1):P24. DOI: 10.1186/1471-2202-14-S1-P24
  20. E. Tartaglia, N. Brunel and G. Mongillo (2013) Repetition suppression/enhancement effects as a result of attractor dynamics in local cortical networks. BMC Neuroscience 2013, 14(Suppl 1): P277
  21. A. Maccione, A. Simi, T. Nieus, M. Gandolfo, K. Imfeld, E. Ferrea, E. Sernagor and L. Berdondini (2013) Sensing and actuating electrophysiological activity on brain tissue and neuronal cultures with a high-density CMOS-MEA. Transducers and Eurosensors XXVII: The 17th International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS and EUROSENSORS 2013, art. no. 6626875, pp. 752-755.
  22. L. J. Juárez-Hernández, G. Bisson and V. Torre, The use of dendrograms to describe the electrical activity of motoneurons underlying behaviors in leeches, Frontiers in Integrative Neuroscience, 2013, Sep 27;7:69. doi: 10.3389/fnint.2013.00069.
  23. M. Moshtagh-Khorasani, E. W. Miller and V. Torre, The spontaneous electrical activity of neurons in leech ganglia, Physiological Reports, 2013, Oct;1(5):e00089. doi: 10.1002/phy2.89.
  24. R. A. A. Ince, S. Panzeri, C. Kayser (2013) Neural codes formed by small and temporally precise populations in auditory cortex. J Neurosci 33: 18277-18287
  25. I. Delis, S. Panzeri, T. Pozzo, B. Berret (2014) A unifying model of concurrent spatial and temporal modularity in muscle activity. J Neurophysiol: 111: 675–693
  26. G. Rovere, Q. Ning, C. Bartolozzi and G. Indiveri (2014) Ultra Low Leakage Synaptic Scaling Circuits for Implementing Homeostatic Plasticity in Neuromorphic Architectures, IEEE International Symposium on Circuits and Systems 2014, (Melbourne, 1-5 June 2014).
  27. S. Cavallari, S. Panzeri and A. Mazzoni (2014) Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Front. Neural Circuits 8:12. doi: 10.3389/fncir.2014.00012
  28. A. Vato, F.D. Szymanski, M. Semprini, F.A. Mussa-Ivaldi and S. Panzeri (2014) A Bidirectional Brain-Machine Interface Algorithm That Approximates Arbitrary Force-Fields. PLoS ONE 9(3): e91677. doi:10.1371/journal.pone.0091677
  29. D. Chicharro and S. Panzeri (2014) Algorithms of causal inference for the analysis of effective connectivity among brain regions. Front. Neuroinform. 8:64. doi: 10.3389/fninf.2014.00064
  30. A. Marzo, N.K. Totah, R.M. Neves, N.K. Logothetis, O. Eschenko (2014) Unilateral electrical stimulation of the rat Locus Coeruleus elicits bilateral response of norepinephrine neurons and sustained activation of the mPFC. Journal of Neurophysiology, 111(12):2570-88. DOI: 10.1152/jn.00920.2013
  31. F. Barbieri, A. Mazzoni, N.K. Logothetis, S. Panzeri, N. Brunel (2014) Stimulus dependence of local field potential spectra: experiment vs theory. Journal of Neuroscience, 34(44): 14589-14605
  32. G.N. Angotzi, F. Boi, S. Zordan, A. Bonfanti and A. Vato (2014) A programmable closed-loop recording and stimulating wireless system for behaving small laboratory animals. Sci Rep. 4:5963. doi: 10.1038/srep05963
  33. H. Safaai, Y. Zuo, M. Maravall, S. Panzeri and M.E. Diamond: Hierarchical flow of sensory information in rat somatosensory cortex. BMC Neuroscience 2014 15(Suppl 1):P172. doi:10.1186/1471-2202-15-S1-P172
  34. A. Simi, H. Amin, A. Maccione, T. Nieus and L. Berdondini (2014) Integration of microstructured scaffolds, neurons, and multielectrode arrays. Prog Brain Res. 2014;214:415-42. doi: 10.1016/B978-0-444-63486-3.00017-7.
  35. H. Safaai, R. Neves, O. Eschenko, N.K. Logothetis and S. Panzeri: A dynamical systems model of the effect of Locus Coeruleus firing on single trial cortical state dynamics. BMC Neuroscience 2014 15(Suppl 1):P73. doi:10.1186/1471-2202-15-S1-P73
  36. N. Totah, R. Neves, S. Panzeri, N.K. Logothetis and O.Eschenko (2014) Characterization of the effects of tonic and phasic norepinephrine release on layer-specific prefrontal cortex and primary somatosensory cortex activity. In N.G. Hatsopoulos and J.S. Pezaris (Editors), AREADNE Research in Encoding and Decoding of Neural Ensembles, (Published by The AREADNE Foundation, Inc., Cambridge, Massachusetts, USA), p. 117
  37. D. Chicharro and S. Panzeri (2014) Modulation of correlation by activity levels: from synaptic currents to single neurons and population activity. In N.G. Hatsopoulos and J.S. Pezaris (Editors), AREADNE Research in Encoding and Decoding of Neural Ensembles, (Published by The AREADNE Foundation, Inc., Cambridge, Massachusetts, USA), p. 63
  38. L. Hertäg, D. Durstewitz and N. Brunel (2014) Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise. Front. Comput. Neurosci. 8:116. doi: 10.3389/fncom.2014.00116
  39. F. Stefanini, S. Sheik, E. Neftci and G. Indiveri (2014) PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Frontiers in Neuroinformatics, volume 8. doi: 10.3389/fninf.2014.00073
  40. E. Chicca, F. Stefanini, C. Bartolozzi and G. Indiveri (2014) Neuromorphic electronic circuits for building autonomous cognitive systems. Proceedings of the IEEE, volume 102. doi: 10.1109/JPROC.2014.2313954
  41. G. Rovere, Qiao Ning, C. Bartolozzi and G. Indiveri (2014) Ultra low leakage synaptic scaling circuits for implementing homeostatic plasticity in neuromorphic architectures. IEEE International Symposium on Circuits and Systems (ISCAS). doi: 10.1109/ISCAS.2014.6865574
  42. S. Moradi, N. Imam, R. Manohar and G. Indiveri (2013) A memory-efficient routing method for large-scale spiking neural networks. European Conference on Circuit Theory and Design (ECCTD). doi: 10.1109/ECCTD.2013.6662203
  43. V. Lopes-dos-Santos , S. Panzeri , C. Kayser , M. E. Diamond and R. Q. Quiroga (2015) Extracting information in spike time patterns with wavelets and information theory. Journal of Neurophysiology, 113(3): 1015-1033 DOI: 10.1152/jn.00380.2014
  44. T. Nieus , A. Maccione, S. Di Marco and L. Berdondini (2014) Investigating cell culture dynamics by dimensional reduction techniques and high-density MEAs. In Bernstein Conference, Heidelberg, Germany
  45. T. Nieus, A. Maccione, L. Berdondini (2014) Investigating the interplay between intrinsic and evoked activities in cultured neuronal networks by dimensional reduction techniques and high-density MEAs. In Forum of European Neuroscience Abstracts, Milan, Italy
  46. E.M. Tartaglia, G. Mongillo and N. Brunel (2014) On the relationship between persistent delay activity, repetition enhancement and priming. Front. Psychol. 5:1590. doi: 10.3389/fpsyg.2014.01590
  47. F. Corradi, D. Bontrager and G. Indiveri, Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing, In Biomedical Circuits and Systems Conference (BioCAS), 2014
  48. E.M. Tartaglia, N. Brunel and G. Mongillo (2015) Modulation of Network Excitability by Persistent Activity: How Working Memory A ffects the Response to Incoming Stimuli. Plos Comput Biol, 11(2): e1004059. doi:10.1371/journal.pcbi.1004059
  49. S. Panzeri, J.H. Macke, J. Gross, C. Kayser (2015) Neural population coding: combining insights from microscopic and mass signals, Trends in Cognitive Sciences, 19: 162-172
  50. Y. Zuo, H. Safaai, G. Notaro, A. Mazzoni, S. Panzeri and M.E. Diamond (2015) Spike timing and spike rate make complementary contributions to perceptual decisions in rat S1 and S2 cortex, Current Biology, 25(3): 357-363
  51. D. Fasoli, O. Faugeras and S Panzeri (2015) A formalism for evaluating analytically the cross-correlation structure of a firing-rate network model. Journal of Mathematical Neuroscience, 5:6 DOI10.1186/s13408-015-0020-y
  52. C. Kayser, C. Wilson, H. Safaai, S. Sakata and S. Panzeri (2015) Rhythmic Auditory Cortex Activity at Multiple Timescales Shapes Stimulus–Response Gain and Background Firing. The Journal of Neuroscience, 35(20): 7750-7762; doi: 10.1523/JNEUROSCI.0268-15.2015
  53. H. Akolkar, S. Panzeri and C. Bartolozzi, "Spike time based unsupervised learning of receptive fields for event-driven vision", 2015 IEEE International Conference on Robotics and Automation (ICRA), pp.4258-4264, May 26-30, 2015 doi: 10.1109/ICRA.2015.7139786
  54. F. Boi, F. Diotalevi, F. Stefanini, G. Indiveri, C. Bartolozzi and A. Vato (2015) A modular configurable system for closed-loop bidirectional brain-machine interfaces. IEEE International Conference on Neural Engineering (NER) pp.198-201, April 22-24, 2015 doi: 10.1109/NER.2015.7146594
  55. N. Qiao, H. Mostafa, F. Corradi, M. Osswald, F. Stefanini, D. Sumislawska and G. Indiveri (2015) A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses. Front. Neurosci. 9:141. doi:10.3389/fnins.2015.00141
  56. G. Indiveri and S.-C. Liu (2015) Memory and information processing in neuromorphic systems. Proceedings of the IEEE, 103 (8), 1379-1397
  57. A. Simi, H. Amin, A. Maccione, T. Nieus, S. Di Marco, M. Dipalo, S. Talaei, M. Koudelka-Hep, P.D. van Der Wal, N.F. De Rooij and L. Berdondini (2015) Micro-/nano-technologies and microelectronics for neuroscience research and applications. IFMBE Proceedings, 45, pp. 781-784.
  58. S. Zordan, M. Zanotto, T. Nieus, S. Di Marco, H. Amin, A. Maccione and L. Berdondini (2015) A scalable high performance client/server framework to manage and analyze high dimensional datasets recorded by 4096 CMOS-MEAs. IEEE International Conference on Neural Engineering (NER) pp. 968-971, April 22-24, 2015 doi:10.1016/j.jneumeth.2007.04.006
  59. A. Maccione, M. Gandolfo, S. Zordan, H. Amin, S. Di Marco, T. Nieus, G. Nicola Angotzi and L. Berdondini (2015), Microelectronics, bioinformatics and neurocomputation for massive neuronal recordings in brain circuits with large scale multielectrode array probes. Brain Res Bull., Jul 29. pii: S0361-9230(15)30017-4. doi: 10.1016/j.brainresbull.2015.07.008
  60. F. Boi, M. Semprini, F.A. Mussa Ivaldi, S. Panzeri and A. Vato. A bidirectional brain-machine interface connecting alert rodents to a dynamical system, IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC), August 25-29, 2015, accepted
  61. D. Lonardoni, H. Amin, S. Di Marco, L. Berdondini and T. Nieus (2015) A computational model of cell culture dynamics: role of connectivity and synaptic receptors in the appearance of synchronized bursting events. BMC Neuroscience, in press
  62. T. Nieus, S. Di Marco, A. Maccione, H. Amin, L. Berdondini (2015) Investigating intrinsic and evoked activities in cultured neuronal networks by dimensional reduction techniques and high-density MEAs. BMC Neuroscience, in press
  63. D. Lonardoni, S. Di Marco, H. Amin, A. Maccione, L. Berdondini and T. Nieus (2015) High-density MEAs recordings unveil the dynamics of network bursting events in cell cultures. Conference Proceeding IEEE Engineering in Medicine and Biology Society, in press
  64. T. Nieus, S. Di Marco, A. Maccione, H. Amin and L. Berdondini (2015) Investigating cell culture dynamics combining high density recordings with dimensional reduction techniques. Conference Proceeding IEEE Engineering in Medicine and Biology Society, in press
  65. A. Maccione, G.N. Angotzi, T. Nieus, S. Di Marco, M. Malerba, D. Lonardoni, S. Zordan, H. Amin and L. Berdondini (2015) Challenges and perspectives for large-scale neuronal recordings with CMOS multielectrode arrays. Conference Proceeding IEEE Engineering in Medicine and Biology Society, in press
  66. M. Besserve, S.C. Lowe, N.K. Logothetis, B. Schölkopf and S. Panzeri (2015) Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus-modulated information transfer. PLoS Biol 13(9): e1002257. doi:10.1371/journal. pbio.1002257
  67. H. Safaai, R. Neves, O. Eschenko, N.K. Logothetis, S. Panzeri (2015) Modeling the effect of Locus Coeruleus firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834–12839, www.pnas.org/cgi/doi/10.1073/pnas.1516539112
  68. A. Mazzoni, H. Lindén, H. Cuntz, A. Lansner, S. Panzeri, G. T. Einevoll (2015) Computing the local field potential (LFP) from integrate-and-fire network models. PLoS Computational Biology: in press
  69. Akolkar H., Meyer C, Clady X, Marre O, Bartolozzi C., Panzeri S. and Benosman R. (2015) What Can Asynchronous Event-based Acquisition Add to Pattern Recognition? Neural Computation 27: 561-593
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FP7-70pxeu-flag-70pxfet-70pxThe project SI-CODE acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: FP7-284553