Shimon Marom / شمعون مروم / שמעון מרום

Shimon Marom / شمعون مروم / שמעון מרום
Professor of Physiology and the Pearl Seiden
Chair in Sciences

Research Interest

היבטים פיסיקליים ופיזיולוגיים של תופעות חשמליות בחלבונים, תאים ורשתות
.إنّ مجالات اهتمامي هي الجوانب الفيزيائية والفيزيولوجيةللظواهر الكهربائية في كل من البروتينات، الخلايا والشبكات
Biophysical and physiological aspects of bio-electricity in proteins, cells and networks

Resources and Open Data

  • Long recording sessions from ex-vivo networks of cortical neurons using a multi-electrode-array  [MEA]
  • Long (hours) time series of single neuron responses (1/0) to 20–25Hz stimulation (Gal et al, 2010) [Responses]
  • Biological Implementation (cortical neurons in-vitro) of a Braitenberg Vehicle (Marom et al, 2009) [Braitenberg]
  • Mathematica® dynamic lecture notes (CDF, computational document format) on membrane excitability [Notes]
  • Mathematica® Notebook for reconstructing a 2D S–K phase diagram of membrane excitability (Ori et al, 2018) [SK]

List of (Downloadable) Publications

  • S. Marom, How Are Nerve Cells And Artificial Intelligence Similar? Front. Young Minds, 10:767989. DOI | 10.3389/frym.2022.767989 (2022)
    גרסה עברית: על תאי עצב, מערכת לוגית ובינה מלאכותית
  • E. Marder and S. Marom, Lost Knowledge Current Biology, 32(4) DOI | 10.1016/j.cub.2022.01.032 (2022)
  • H. Ori, H. Hazan, E. Marder and S. Marom, Dynamic clamp constructed phase diagram for the Hodgkin and Huxley model of excitabilityProceedings of the National Academy of Sciences, 201916514, DOI | 10.1073/pnas.1916514117 (2020) [related data files are downloadable from Mendeley Data repository]
  • S. Marom, Dialogue Across Chasm: are Psychology and Neurophysiology incompatible? Neuron, 107, DOI | 10.1016/j.neuron.2020.07.016 (2020)
  • H. Keren, J. Partzsch, S. Marom and CG. Mayr, A biohybrid setup for coupling biological and neuromorphic neural networks. Frontiers in Neuroscience, 443135 (2019)
  • N. Haroush and S. Marom, Inhibition increases response variability and reduces stimulus discrimination in random networks of cortical neuronsScientific Reports, 9(1) number 4969 (2019)
  • U. Gordon, S. Marom and N. Brenner, Visual detection of time-varying signals: Opposing biases and their timescales. PLoS ONE 14(11): e0224256. (2019)
  • H. Ori, E. Marder and S. Marom, Cellular function given parametric variation in the Hodgkin and Huxley model of excitabilityProceedings of the National Academy of Sciences, 201808552, DOI | 10.1073/pnas.1808552115 (2018) [a related Mathematica notebook is downloadable from Mendeley Data repository]
  • S. Marom, CDF (Mathematica©) Lecture Notes on Membrane Excitability, Mendeley Data, v1 (2018)
  • S. Marom, Emergence and Maintenance of Excitability: Kinetics over Structure. Current Opinion in Neurobiology, 40:66–71 (2016)
  • H. Keren and S. Marom, Long-range Synchrony and Emergence of Reentry in Neural Networks. Scientific Reports, 6:36837 (2016)
  • A. Wallach, et al., Closing Dewey’s Circuit. In: “Closed Loop Neuroscience” (A. El-Hady, Ed.), Academic Press (2016)
  • שמעון מרום, מקום לדיאלוג
    (2016 ,״שיחות״ כתב-עת ישראלי לפסיכותרפיה (כרך ל’, חוב׳ מס׳ 3, יולי
    [Space for Dialogue, Sihot\Dialogues–Israel Journal of Psychotherapy, Vol. L(3) 2016 (Hebrew)]
  • [MONOGRAPH] S. Marom, Science, Psychoanalysis, and the BrainSpace for Dialogue
    English:   2015 Cambridge University Press (PDF)
    Hebrew:  פסיכואנליזה ונוירו־פיזיולוגיה: מקום לדיאלוג, הוצאת רסלינג  2018 (PDF) – ביקורות: שבתאי מג׳ר; יואב יגאל
    Italian:     2021 La Psicoanalisi e la Scienza del Cervello: Spazi per un dialogo, Casa Editrice Astrolabio
  • G.  Gigante, et al., Network Events on Multiple Space and Time Scales in Cultured Neural Networks and in a Stochastic Rate ModelPLoS Computational Biology (2015)
  • N.  Haroush and S. Marom, Slow Dynamics in Features of Synchronized Neural Network ResponsesFront. Comput. Neurosci., doi | 10.3389/fncom.2015.00040 (2015)
  • E. Braun and S. Marom, Universality, Complexity and the Praxis of Biology: Two Case StudiesStudies in History and Philosophy of Biological and Biomedical Sciences, 53, pp. 68–72, doi | 10.1016/j.shpsc.2015.03.007 (2015) [for context see Hon & Carrier (2015)]
  • H. Keren and S. Marom, Controlling neural network responsiveness: tradeoffs and constraintsFront. Neuroeng., doi | 10.3389/fneng.2014.00011 (2014)
  • S. Reinartz, et al., Synaptic dynamics contribute to long-term single neuron response fluctuationsFront. Neural Circuits, doi | 10.3389/fncir.2014.00071 (2014)
  • A. Gal and S. Marom, Single Neuron Response Fluctuations: A Self-organized Criticality Point of View. In: Criticality in Neural Systems, Plenz & Niebur (Eds.), Wiley (2014)
  • A. Gal and S. Marom, Self-organized criticality in single neuron excitabilityPhysical Review E, 88, 062717 (2013)
  • A. Gal and S. Marom, Entrainment of the intrinsic dynamics of single isolated neurons by natural-like inputThe Journal of Neuroscience 33(18):7912–7918 (2013)
  • R. Vardi, et al., Synchronization by elastic neuronal latencies. Physical Review E, 87, 012724 (2013)
  • R. Vardi, et al., Synchronization with mismatched synaptic delays: A unique role of elastic neuronal latency. EPL (Europhysics Letters), 100, 48003, doi | 10.1209/0295-5075/100/48003 (2012)
  • A. Wallach and S. Marom, Interactions Between Network Synchrony and the Dynamics of Neuronal ThresholdJ. of Neurophysiology 107:2926–2936, doi | 10.1152/jn.00876.2011 (2012)
  • O. Levy, N. E. Ziv and S. Marom, Enhancement of neural representation capacity by modular architecture in networks of cortical neuronsEurop. J. Neurosci. 35, pp. 1753–1760, doi | 10.1111/j.1460-9568.2012.08094.x (2012)
  • R. Vardi, et al., Synthetic reverberating activity patterns embedded in networks of cortical neurons. EPL (Europhysics Letters), 97, 66002, doi | 10.1209/0295-5075/97/66002 (2012)
  • S. Marom and A. Wallach, Relational Dynamics in Perception: Impacts on trial-to-trial variationFront. Comput. Neurosci. 5:16, doi | 10.3389/fncom.2011.00016 (2011)
  • A. Wallach, et al., Neuronal Response ClampFront. Neuroeng. 4:3, doi | 10.3389/fneng.2011.00003 (2011)
  • A. Gal, et al., Dynamics of excitability over extended timescales in cultured cortical neuronsThe Journal of Neuroscience, 30(48):16332–16342 (2010) [for related downloadable data see Mendeley Data Repository]
  • C. Zrenner, et al., A generic framework for real-time multichannel neuronal signal analysis, telemetry control and sub-millisecond latency feedback generationFront. Neurosci., doi | 10.3389/fnins.2010.00173 (2010)
  • E. Kermany, et al., Tradeoffs and Constraints on Neural Representation in Networks of Cortical NeuronsThe Journal of Neuroscience, July 14, 30(28):9588 –9596, (2010)
  • שמעון מרום, הפיתוי הנצחי
    (2010) ,״אודיסאה״ חוב׳ מס׳ 6
  • S. Marom, Neural timescales or lack thereof.  Progress in Neurobiology 90:16–28, (2010)
  • J.P.M. Finberg, et al., Modulation of excessive neuronal activity by fibroblasts: potential use in treatment of Parkinson’s diseaseRestorative Neurology and Neuroscience, Volume 28, Number 6, 803–815, doi | 10.3233/RNN-2010-055), (2010)
  • A. Minerbi, et al., Long-Term Relationships between Synaptic Tenacity, Synaptic Remodeling, and Network ActivityPLoS Biol 7(6): e1000136, doi | 10.1371/journal.pbio.1000136, (2009)
  • S. Marom, et al., On the precarious path of reverse neuro-engineeringFront. Comput. Neurosci., doi | 10.3389/neuro.10.005, (2009) [for related movie see Mendeley Data Repository]
  • E. Braun and S. Marom, Learning Without Error. In: “Going Amiss in Experimental Research”, Hon, Schickore and Steinle (Eds.), Springer, ISBN 978-1-4020-8892-6 (2009)
  • S. Marom, Adaptive transition rates in excitable membranesFront. Comput. Neurosci., doi | 10.3389/neuro.10.002, (2009)
  • G. Shahaf, et al., Order-based representation in random networks of cortical neurons. PLoS Comput Biol, 4(11), (2008)
  • A. Wallach, et al., Selective adaptation in networks of heterogeneous populations: Model, simulation, and experimentPLoS Comput Biol, 4(2), (2008)
  • L. Yankelson, et al., Cell therapy for modication of the myocardial electrophysiological substrateCirculation, 117(6):720–731, (2008)
  • J.P. Eckmann, et al., Leader neurons in population bursts of 2-D living neural networks. New Journal of Physics, 10(1):015011 (19pp), (2008)
  • D. Eytan and S. Marom, Dynamics and effective topology underlying synchronization in networks of cortical neurons. The Journal of Neuroscience, 26(33):8465–8476, (2006)
  • S. Marom and D. Eytan, Learning in ex-vivo developing networks of cortical neuronsProgress in Brain Research 147:189–199, (2005)
  • D. Eytan, et al., Dopamine-induced dispersion of correlations between action potentials in networks of cortical neuronsJ Neurophysiol, 92(3):1817–1824, (2004)
  • M. R. Rosen, O. Binah and S. Marom, Cardiac memory and cortical memory: do learning patterns in neural networks impact on cardiac arrhythmias? Circulation, 108(15):1784–1789, (2003)
  • D. Eytan, N. Brenner and S. Marom, Selective adaptation in networks of cortical neurons. The Journal of Neuroscience, 23(28):9349–9356, (2003)
  • L. M. Manevitz and S. Marom, Modeling the process of rate selection in neuronal activityJ Theor Biol, 216(3):337–343, (2002)
  • S. Marom and G. Shahaf, Development, learning and memory in large random networks of cortical neurons: lessons beyond anatomyQ Rev Biophys, 35(1):63–87, (2002)
  • Y. Feld, et al., Electrophysiological modulation of cardiomyocytic tissue by transfected fibroblasts expressing potassium channels: a novel strategy to manipulate excitabilityCirculation, 105(4):522–529, (2002)
  • D. Tal, et al., Frequency tuning of input-output relation in a rat cortical neuron in-vitroNeurosci Lett, 300(1):21–24, (2001)
  • G. Shahaf and S. Marom, Learning in networks of cortical neurons. The Journal of Neuroscience, 21(22):8782–8788, (2001)
  • M. Melamed-Frank and S. Marom, A global defect in scaling relationship between electrical activity and availability of muscle sodium channels in hyperkalemic periodic paralysisPflug. Arch., 438(2):213–217, (1999)
  • A. Toib, V. Lyakhov and S. Marom, Interaction between duration of activity and time course of recovery from slow inactivation in mammalian brain Na channels. The Journal of Neuroscience, 18(5):1893–1903, (1998)
  • S. Marom, Slow changes in the availability of voltage-gated ion channels: effects on the dynamics of excitable membranesJ Membr Biol, 161(2):105–113, (1998)
  • S. Marom, et al., Effects of density and gating of delayed-rectifier potassium channels on resting membrane potential and its fluctuationsJ Membr Biol, 154(3):267–274, (1996)
  • S. Marom, A. Toib and E. Braun, Rich dynamics in a simplified excitable systemAdv Exp Med Biol, 382:61–66, (1995)
  • J. Kupper, et al., Intracellular and extracellular amino acids that influence c-type inactivation and its modulation in a voltage-dependent potassium channelPflug. Arch., 430(1):1–11, (1995)
  • S. Marom and L. F. Abbott, Modeling state-dependent inactivation of membrane currentsBiophysical Journal, 67(2):515–520, (1994)
  • S. Marom, A note on bistability in a simple synapseless point neuron modelNetwork: Computation in Neural Systems, 5(3):327–331, (1994)
  • S. Marom and I. B. Levitan, State-dependent inactivation of the Kv3 potassium channelBiophysical Journal, 67(2):579–589, (1994)
  • S. Marom, et al., Mechanism and modulation of inactivation of the Kv3 potassium channelReceptors & Channels, 1(1):81–88, (1993)
  • S. Marom, A 3-D approach to voltage clamp dataJournal of Theoretical Biology, 154(4):475–484, (1992)
  • O. Binah, et al., Immunological rejection of heart transplant: how lytic granules from cytotoxic T lymphocytes damage guinea pig ventricular myocytesPflug. Arch., 420(2):172–179, (1992)
  • S. Marom, D. Dagan and J. Winaver, New concepts emerge from single channel techniques applied to kidney proximal tubule apical membraneNews In Physiological Sciences (NIPS), 5:194–197, (1990)
  • O.S. Better, et al., The mechanism of muscle injury in the crush syndrome: ischemic versus pressure-stretch myopathyMiner Electrolyte Metab, 16(4):181–184, (1990)
  • S. Marom, et al., Brush-border membrane cation conducting channels from rat kidney proximal tubulesAm J Physiol, 257(3 Pt 2):F328–35, (1989)
  • S. Marom and D. Dagan, Calcium current in growth balls from isolated Helix aspersa neuronal growth conesPflug. Arch., 409(6):578–581, (1987)

Space for Dialogue on Psychology & Physiology

  • [MONOGRAPH] S. Marom, Science, Psychoanalysis, and the BrainSpace for Dialogue
    English:   2015 Cambridge University Press (PDF)
    Hebrew:  פסיכואנליזה ונוירו־פיזיולוגיה: מקום לדיאלוג, הוצאת רסלינג  2018 (PDF) – ביקורות: שבתאי מג׳ר; יואב יגאל
    Italian:     2021 La Psicoanalisi e la Scienza del Cervello: Spazi per un dialogo, Casa Editrice Astrolabio
  • S. Marom, Dialogue Across Chasm: are Psychology and Neurophysiology incompatible? Neuron, 107, DOI | 10.1016/j.neuron.2020.07.016 (2020)
  • שמעון מרום, מקום לדיאלוג, 2016 ,״שיחות״ כתב-עת ישראלי לפסיכותרפיה, כרך ל’, חוב׳ מס׳ 3
    [Space for Dialogue, Sihot\Dialogues–Israel Journal of Psychotherapy, Vol. L(3) 2016 (Hebrew)]
  • שמעון מרום, הפיתוי הנצחי, (2010) ,״אודיסאה״ חוב׳ מס׳ 6