Shimon Marom / شمعون مروم / שמעון מרום

Professor (MD, PhD) of Physiology & Biophysics, and the Pearl Seiden Chair in Sciences.

Research themes:
(1) Biophysical and functional aspects of electrical activity in neurons and networks
(2) Relational space for dialogue between physiology and psychology

Office address: Room 434, Fishbach Building, Technion, Haifa 3200003
https://orcid.org/0000-0002-9138-4833ORCID iD icon

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]

All (downloadable) Publications

  • R. Teichner, et al., Identifying regulation with adversarial surrogate. bioRxiv, DOI |10.1101/2022.10.08.511451 (2022)
  • 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. https://doi.org/10.1371/journal.pone.0224256 (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, v1http://dx.doi.org/10.17632/2kn5ymgwvg.1 (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)

Ionic Channels & Membrane Excitability

  • 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]
  • 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, v1http://dx.doi.org/10.17632/2kn5ymgwvg.1 (2018)
  • S. Marom, Emergence and Maintenance of Excitability: Kinetics over Structure. Current Opinion in Neurobiology, 40:66–71 (2016)
  • 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)
  • 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]
  • S. Marom, Adaptive transition rates in excitable membranesFront. Comput. Neurosci., doi | 10.3389/neuro.10.002, (2009)
  • L. M. Manevitz and S. Marom, Modeling the process of rate selection in neuronal activityJ Theor Biol, 216(3):337–343, (2002)
  • D. Tal, et al., Frequency tuning of input-output relation in a rat cortical neuron in-vitroNeurosci Lett, 300(1):21–24, (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)
  • 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)
  • 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)

Dynamics and Function of Random Cortical Networks

  • 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)
  • H. Keren and S. Marom, Long-range Synchrony and Emergence of Reentry in Neural Networks. Scientific Reports, 6:36837 (2016)
  • 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)
  • H. Keren and S. Marom, Controlling neural network responsiveness: tradeoffs and constraintsFront. Neuroeng., doi | 10.3389/fneng.2014.00011 (2014)
  • 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)
  • 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)
  • 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]
  • 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)
  • 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)
  • D. Eytan, N. Brenner and S. Marom, Selective adaptation in networks of cortical neurons. The Journal of Neuroscience, 23(28):9349–9356, (2003)
  • 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)
  • G. Shahaf and S. Marom, Learning in networks of cortical neurons. The Journal of Neuroscience, 21(22):8782–8788, (2001)

Space for Dialogue between Psychology & Physiology (Book and More)

  • [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

    Reviews & endorsements
    (English version):
  • 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)]
  • 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)
  • שמעון מרום, הפיתוי הנצחי, (2010) ,״אודיסאה״ חוב׳ מס׳ 6

General Comments on Science, Knowledge, Biology, Psychology, Time and More

  • E. Marder and S. Marom, Lost Knowledge Current Biology, 32(4) DOI | 10.1016/j.cub.2022.01.032 (2022)
  • 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
  • S. Marom, Dialogue Across Chasm: are Psychology and Neurophysiology incompatible? Neuron, 107, DOI | 10.1016/j.neuron.2020.07.016 (2020)
  • 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)]
  • 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)]
  • שמעון מרום, הפיתוי הנצחי
    (2010) ,״אודיסאה״ חוב׳ מס׳ 6
  • S. Marom, Neural timescales or lack thereof.  Progress in Neurobiology 90:16–28, (2010)
  • 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)

בעברית

  • שמעון מרום, [מאמר לילדים, 2022], על תאי עצב, מערכת לוגית ובינה מלאכותית
    (PDF) Front. Young Minds, 10:767989. DOI | 10.3389/frym.2022.767989
  • פסיכואנליזה ונוירו־פיזיולוגיה: מקום לדיאלוג, ספר (תרגום לעברית 2018) רסלינג  (PDF)
    ביקורות: שבתאי מג׳ר; יואב יגאל
  •  שמעון מרום, [מאמר 2016], מקום לדיאלוג
    (PDF ,״שיחות״ כתב-עת ישראלי לפסיכותרפיה (כרך ל’, חוב׳ מס׳ 3, יולי
  • שמעון מרום, [מאמר 2010], הפיתוי הנצחי
    (PDF) ,״אודיסאה״ חוב׳ מס׳ 6