Horacio Rotstein
Horacio Rotstein
Professor, Biological Sciences
CKB 420-D Central King Building (CKB)
Education
Ph.D.; Technion, Israel Institute of Technology; Applied Mathematics; 1998
M.S.; Technion, Israel Institute of Technology; Applied Mathematics; 1994
Licenciado en Quimica (5 years program); Universidad Nacional del Sur; Icenciado En Quimica (5 Years Program) Chemistry; 1989
M.S.; Technion, Israel Institute of Technology; Applied Mathematics; 1994
Licenciado en Quimica (5 years program); Universidad Nacional del Sur; Icenciado En Quimica (5 Years Program) Chemistry; 1989
Website
2025 Spring Courses
BIOL 491 - SENIOR PROJECT
BIOL 790A - DOCT DISSERTATION & RESRCH
BIOL 790E - DOCTORAL DISSERTATION
MATH 636 - SYSTM COMPUTATNL NEUROSCI
BIOL 492 - RESEARCH & INDEPENDENT STUDY
BIOL 725 - INDEPENDENT STUDY I
BIOL 726 - INDEPENDENT STUDY II
BIOL 790C - DOCTORAL DISSERTN & RESRCH
MATH 431 - SYSTEMS COMPUTATIONAL NEUROSCI
BIOL 436 - ADVANCED NEUROSCIENCE MODELING
BIOL 790B - DOCT DISSERTATION & RESRCH
BIOL 636 - ADVANCED COMP NEUROSCIENCE
BIOL 700B - MASTER'S PROJECT
BIOL 701B - MASTER'S THESIS
BIOL 701C - MASTER'S THESIS
BIOL 792B - PRE-DOCTORAL RESEARCH
BIOL 790D - DOCT DISSERTATION & RESRCH
BIOL 792C - PRE-DOCTORAL RESEARCH
BIOL 790A - DOCT DISSERTATION & RESRCH
BIOL 790E - DOCTORAL DISSERTATION
MATH 636 - SYSTM COMPUTATNL NEUROSCI
BIOL 492 - RESEARCH & INDEPENDENT STUDY
BIOL 725 - INDEPENDENT STUDY I
BIOL 726 - INDEPENDENT STUDY II
BIOL 790C - DOCTORAL DISSERTN & RESRCH
MATH 431 - SYSTEMS COMPUTATIONAL NEUROSCI
BIOL 436 - ADVANCED NEUROSCIENCE MODELING
BIOL 790B - DOCT DISSERTATION & RESRCH
BIOL 636 - ADVANCED COMP NEUROSCIENCE
BIOL 700B - MASTER'S PROJECT
BIOL 701B - MASTER'S THESIS
BIOL 701C - MASTER'S THESIS
BIOL 792B - PRE-DOCTORAL RESEARCH
BIOL 790D - DOCT DISSERTATION & RESRCH
BIOL 792C - PRE-DOCTORAL RESEARCH
Teaching Interests
Applied Mathematics, Mathematical Biology, Dynamical Systems, Computational Neuroscience, Systems Biology
Past Courses
BIOL 432: INTRO TO COMP NEUROSCIENCE
BIOL 436: ADVANCED NEUROSCIENCE MODELING
BIOL 470: DYNAMIC PRINC IN SYSTEMS BIOL
BIOL 498: SPECIAL TOPICS IN BIOLOGY
BIOL 631: PROPOSAL PREP FOR EXTNL FUNDIN
BIOL 635: INTRO TO COMP NEUROSCIENCE
BIOL 636: ADVANCED COMP NEUROSCIENCE
BIOL 672: COMPUTATIONAL SYSTEMS BIOLOGY
BIOL 698: ST: COMPUTATIONAL NEUROSCIENCE
BIOL 731: PROPOSAL PREP FOR EXTNL FUNDIN
BIOL 791: BIOLOGY SEMINAR
MATH 111: CALCULUS I
MATH 111: CALCULUS I - HONORS
MATH 112: CALCULUS II
MATH 112: CALCULUS II - HONORS
MATH 211: CALCULUS IIIA
MATH 222: DIFFERENTIAL EQUATIONS
MATH 337: LINEAR ALGEBRA
MATH 371: PHYSIOLOGY AND MEDICINE
MATH 430: ANALYTICAL AND COMPUTATIONAL NEUROSCIENCE
MATH 430: ANALYTICL & COMPUTATNL NEUROSCI
MATH 430: ANALYTICL & COMPUTNL NEUROSCI
MATH 431: SYSTEMS COMPUTATIONAL NEUROSCIENCE
MATH 451: METHODS APPL MATH II
MATH 473: INTERMED DIFFEREN EQUATN
MATH 635: ANALYTCL COMPUTATIONAL NEURO
MATH 635: ANALYTICAL COMPUTATIONAL NEUROS
MATH 635: ANALYTICAL COMPUTATIONAL NEUROSCIENCE
MATH 636: SYSTEMS COMPUTATIONAL NEUROSCIENCE
MATH 636: SYSTM COMPUTATNL NEUROSCI
MATH 637: FOUND OF MATHEMATICAL BIOLOGY
BIOL 436: ADVANCED NEUROSCIENCE MODELING
BIOL 470: DYNAMIC PRINC IN SYSTEMS BIOL
BIOL 498: SPECIAL TOPICS IN BIOLOGY
BIOL 631: PROPOSAL PREP FOR EXTNL FUNDIN
BIOL 635: INTRO TO COMP NEUROSCIENCE
BIOL 636: ADVANCED COMP NEUROSCIENCE
BIOL 672: COMPUTATIONAL SYSTEMS BIOLOGY
BIOL 698: ST: COMPUTATIONAL NEUROSCIENCE
BIOL 731: PROPOSAL PREP FOR EXTNL FUNDIN
BIOL 791: BIOLOGY SEMINAR
MATH 111: CALCULUS I
MATH 111: CALCULUS I - HONORS
MATH 112: CALCULUS II
MATH 112: CALCULUS II - HONORS
MATH 211: CALCULUS IIIA
MATH 222: DIFFERENTIAL EQUATIONS
MATH 337: LINEAR ALGEBRA
MATH 371: PHYSIOLOGY AND MEDICINE
MATH 430: ANALYTICAL AND COMPUTATIONAL NEUROSCIENCE
MATH 430: ANALYTICL & COMPUTATNL NEUROSCI
MATH 430: ANALYTICL & COMPUTNL NEUROSCI
MATH 431: SYSTEMS COMPUTATIONAL NEUROSCIENCE
MATH 451: METHODS APPL MATH II
MATH 473: INTERMED DIFFEREN EQUATN
MATH 635: ANALYTCL COMPUTATIONAL NEURO
MATH 635: ANALYTICAL COMPUTATIONAL NEUROS
MATH 635: ANALYTICAL COMPUTATIONAL NEUROSCIENCE
MATH 636: SYSTEMS COMPUTATIONAL NEUROSCIENCE
MATH 636: SYSTM COMPUTATNL NEUROSCI
MATH 637: FOUND OF MATHEMATICAL BIOLOGY
Research Interests
Mathematical and Computational Neuroscience, Dynamical Systems, Mathematical and Computational Biology and Chemistry, Systems Biology
Journal Article
Horacio G. Rotstein, David Sant, Alfred Amendolara, Eric S. Fortune. 2023. “LSTM-Based Recurrent Neural Network Provides Effective Short Term Flu Forecasting.” BMC Publich Health, vol. 23, pp. 1788.
Eric Lowet , Rebeca Mount, Ulises Chialva, Rodrigo Pena, Michael Hasselmo, Horacio G. Rotstein, xue Han. 2023. “Cellular voltage rhythmicity organizes distinct spiking output modes in the hippocampus.” Cell Reports, vol. 42, pp. 112906.
Ulises Chialva, Vicente Gonzalez Bosca, Horacio G. Rotstein. 2023. “Low-dimensional models of single neurons: A review.” Biological Cybernetic, vol. 117, pp. 163-183.
Xinping Li, Omar Itani, Dirk M. Bucher, Horacio G. Rotstein, Farzan Nadim. 2023. “Distinct Mechanisms Underlie Electrical Coupling Resonance and Its Interaction with Membrane Potential Resonance.” Frontiers in Systems Biology, vol. 3, pp. 1122433.
Daniel Levenstein, Manny Authors, Manny Authors, Horacio G. Rotstein, Farzan Nadim, David Redish. 2023. “On the role of theory and modeling in neuroscience.” The Journal of Neuroscience, vol. 43, pp. 1074-1088.
Eric Lowet , Rebeca Mount, Ulises Chialva, Rodrigo Pena, Michael Hasselmo, Horacio G. Rotstein, xue Han. 2023. “Cellular voltage rhythmicity organizes distinct spiking output modes in the hippocampus.” Cell Reports, vol. 42, pp. 112906.
Ulises Chialva, Vicente Gonzalez Bosca, Horacio G. Rotstein. 2023. “Low-dimensional models of single neurons: A review.” Biological Cybernetic, vol. 117, pp. 163-183.
Xinping Li, Omar Itani, Dirk M. Bucher, Horacio G. Rotstein, Farzan Nadim. 2023. “Distinct Mechanisms Underlie Electrical Coupling Resonance and Its Interaction with Membrane Potential Resonance.” Frontiers in Systems Biology, vol. 3, pp. 1122433.
Daniel Levenstein, Manny Authors, Manny Authors, Horacio G. Rotstein, Farzan Nadim, David Redish. 2023. “On the role of theory and modeling in neuroscience.” The Journal of Neuroscience, vol. 43, pp. 1074-1088.
SHOW MORE
Yugarshi Mondal, Rodrigo Pena, Horacio G. Rotstein. 2022. “Temporal filters in response to presynaptic spike trains: Interplay of cellular, synaptic and short-term plasticity time scales .” J. Comp. Neurscci., vol. Online.
Eran Stark, Amir Levi, Horacio G. Rotstein. 2022. “Neuronal resonance can be generated independently at distinct levels of organization .” PLoS Computational Biology, vol. 18:e1010364.
Emel Khan, Soheil Saghafi, Casey O. Diekman, Horacio G. Rotstein. 2022. “The emergence of polyglot entrainment responses to periodic inputs in vicinities of a Hopf bifurcation.” Chaos: : A journal of Nonlinear Science, vol. 32:063137.
Rodrigo Pena, Horacio G. Rotstein. 2022. “Oscillations and variability in neuronal systems: interplay of autonomous transient dynamics and fast deterministic fluctuations.” J. Comp. Neurosci., vol. 50:331-355.
Horacio G. Rotstein. 2022. “Nonlinearities shape the response patterns to oscillatory inputs in an electrochemical cell model: resonance and more complex patterns.” SIAM J. Appl. Dyn. Sys. (SIADS), vol. 21:500-522.
Dylan Lederman, Raghav Patel, Omar Itani, Horacio G. Rotstein. 2022. “Parameter estimation in the age of degeneracy and unidentifiability.” Mathematics, vol. 10, pp. 170.
Rodrigo Pena, Horacio G. Rotstein. 2022. “The voltage and spiking responses of subthreshold resonant neurons to structured and fluctuating inputs: emergence and loss of resonance and variability.” Biol. Cyb., vol. 116:163-190.
Alexander Churki, Stephanie Kriss, Asher Uziel, Ashish Goyal, Rami Zakh , Horacio G. Rotstein, Harel Dahari, Danny Barash. 2021. “Machine learning for mathematical models of HCV kinetics.” Mathematical Biosciences , vol. 343, pp. 108756.
Juliana Reves-Szemere, Horacio G. Rotstein, Alejandra Ventura. 2021. “Frequency preference response in covalent modification cycles under substrate sequestration conditions.” Nature (npj) Systems Biology and Applications, vol. 7, pp. 32 (article number).
Andrea Bel, Romina Cobiaga, Walter Reartes, Horacio G. Rotstein. 2021. “Periodic solutions in threshold-linear networks and their entrainment.” SIAM J Applied Dyn Sys (SIADS), vol. 20, pp. 1177-1208.
Takuya Ito, Scott Brincat, Markus Siegel, Ravi D Mili, Biyu He, Earl K Miller, Horacio G. Rotstein, Michael W Cole. 2020. “Task-evoked activity quenches neural correlations and variability in large-scale brain systems.” PLoS Computational Biology.
Horacio G. Rotstein, Farzan Nadim. 2020. “Neurons and neural networks: Computational models.” Encyclopedia of Life Sciences. John Wiley \& Sons, Ltd: Chichester.
Esteban Tabak , Horacio G. Rotstein. 2019. “Analysis of spike-driven processes through attributable components .” Comm Math Sci, vol. 17, pp. 1177-1192.
Pena, Rodrigo, Lima, Vinicius, Shimoura, Renan, Ceballos, Cesar, Horacio G. Rotstein, Roque, Antonio. 2019. “Asymmetrical voltage response in resonant neurons shaped by nonlinearities.” Chaos, vol. 29, pp. 103135 (article number).
Horacio G. Rotstein, Farzan Nadim. 2019. “Membrane potential resonance arising from responses of neuronal models to oscillatory inputs in current versus voltage clamp.” Biological Cybernetics, vol. 113, pp. 373–395.
Bel, Andrea, Horacio G. Rotstein. 2019. “Resonance-based mechanisms of generation of relaxation oscillations in networks of non-oscillatory neurons.” Trends in Mathematics: Research Perspectives (CRM Barcelona, Summer 2018), vol. 2018.
Andrea Bel, Ana Torresi, Horacio G. Rotstein. 2019. “Inhibition-based relaxation oscillations emerge in resonator networks.” Mathematical Modeling of Natural Phenomena, vol. 14, pp. 405 (article number).
Andrea Bel, Horacio G. Rotstein. 2019. “Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations .” Journal of Computational Neuroscience, vol. 46, pp. 169-195.
Randolph J Leiser, Horacio G. Rotstein. 2019. “Network resonance: impedance interactions via a frequency response alternating map (FRAM).” SIAM Journal of Applied Dynamical Systems (SIADS), vol. 18, pp. 769-807.
Trinh Tran, Cagri T Unal, Laszlo Zaborszky, Alfredo Kirkwood, Horacio G. Rotstein, Jorge P. Golowasch. 2019. “Ionic current correlations are ubiquitous across phyla.” Scientific Reports, vol. 9, pp. 1687.
Horacio G. Rotstein. 2018. “Subthreshold amplitude and phase resonance in single neurons: 2D models.” Encyclopedia of Computational Neuroscience.
Horacio G. Rotstein. 2018. “Subthreshold antiresonance and antiphasonance in single neurons: 3D models .” Encyclopedia of Computational Neuroscience.
Julia Zhou, Theodore Vo, Horacio G. Rotstein, Michelle McCarthy, Nancy Kopell. 2018. “M-current expands the range of gamma frequency inputs to which the neuronal target entrains.” Journal of Mathematical Neuroscience, vol. 8, pp. 13.
Axel G. R. Turnquist, Horacio G. Rotstein. 2018. “Quadratization: From conductance-based models to caricature models with parabolic nonlinearities.” Encyclopedia of Computational Neuroscience.
Robert Kass, Shun-ichi Amari, Kensuke Arai, Emery Brown, Casey O. Diekman, Markus Diesmann, Brent Doiron, Uri Eden, Adrienne Fairhall, Grant Fiddyment, Tomoki Fukai, Sonja Grun, Matthew Harrison, Moritz Helias, Hiroyuki Nakahara, Jun-nosuke Teramae, Peter J Thomas, Mark Reimers, Jordan Rodu, Horacio G. Rotstein, Eric Shea-Brown, Hideaki Shimazaki, Shigeru Shinomoto, Byron Yu, Mark Kramer. 2018. “Computational neuroscience: mathematical and statistical perspectives.” Annual Review of Statistics and its Applications, vol. 5, no. 1, pp. 183-214.
Dennis Burke, Horacio G. Rotstein, Verónica Álvarez. 2017. “Striatal local circuitry: a new framework for lateral inhibition .” Neuron.
Horacio G. Rotstein. 2017. “Spiking resonances in models with the same slow resonant and fast amplifying ionic currents but different subthreshold dynamic properties.” Journal of Computational Neuroscience.
Horacio G. Rotstein, Elisa Schneider, Lidia Szczupak. 2017. “Feedback signal from motoneurons influences a rhythmic pattern generator.” The Journal of Neuroscience.
Randolph J. Leiser, Horacio G. Rotstein. 2017. “Emergence of localized patterns in globally coupled networks of relaxation oscillators with heterogeneous connectivity.” Physical Review E.
Horacio G. Rotstein. 2017. “Resonance modulation, annihilation and generation of anti-resonance and anti-phasonance in 3D neuronal systems: interplay of resonant and amplifying currents with slow dynamics.” Journal of Computational Neuroscience.
Yinbo Chen, Xinping Li, Horacio G. Rotstein, Farzan Nadim. 2016. “Membrane potential resonance frequency directly influences network frequency through gap junctions.” Journal of Neurophysiology, vol. 116, pp. 1554-1563.
David Fox, Hua-an Tseng, Tomasz Smolinsky, Horacio G. Rotstein, Farzan Nadim. 2017. “Mechanisms of generation of membrane potential resonance in a neuron with multiple resonant ionic currents.” PLoS Comp Biology.
Horacio G. Rotstein. 2017. “The shaping of intrinsic membrane potential oscillations: positive/negative feedback, ionic resonance/amplification, nonlinearities and time scales.” Journal of Computational Neuroscience.
Horacio G. Rotstein, Motolani Olarinre, Jorge P. Golowasch. 2016. “Dynamic compensation mechanism give rise to period and duty cycle level sets in oscillatory neuronal models.” Journal of Neurophysiology, vol. Online First.
Malena Espanol, Horacio G. Rotstein. 2015. “Complex mixed-mode oscillatory patterns in a periodically forced excitable Oregonator.” Chaos, vol. 25, pp. 064601 (18 pages).
Craig Schindewolf, Donwgook Kim, Andrea Bel, Horacio G. Rotstein. 2015. “Complex patterns in networks hyperexcitable neurons with multiple time scales.” Theoretical Computer Science C - Natural Computing, focus issue on "Brain and Neural Networks Computing.
Horacio G. Rotstein. 2015. “Cluster-size dynamics: A phenomenological model for the interaction between coagulation and fragmentation.” Journal of Chemical Physics, vol. 142, pp. 224101 (11 pages).
Horacio G. Rotstein. 2015. “Subthreshold amplitude and phase resonance in models of quadratic type: nonlinear effects generated by the interplay of resonant and amplifying currents .” Journal of Computational Neuroscience, vol. 38, pp. 325 - 354.
Horacio G. Rotstein. 2015. “Subthreshold amplitude and phase resonance in models of quadratic type: nonlinear effects generated by the interplay of resonant and amplifying currents.” J Comp Neurosci, vol. 38, pp. 325-354.
Horacio G. Rotstein, Farzan Nadim. 2014. “Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents.” Journal of Computational Neuroscience, vol. 37, pp. 9-28.
Horacio G. Rotstein. 2014. “Frequency preference response to oscillatory inputs in two-dimensional neural models: a geometric approach to subthreshold amplitude and phase resonance.” Journal of Mathematical Neuroscience, vol. 4, pp. 1 - 41 (article number 4).
Tasso J. Kaper, Mark A. Kramer, Horacio G. Rotstein. 2013. “Introduction to the focus issue: Rhythms and Dynamic Transitions in Neurological Disease: Modeling, Computation, and Experiment .” Chaos , vol. 23, pp. 046001.
Horacio G. Rotstein. 2013. “Preferred frequency responses to oscillatory inputs in an electrochemical cell model: Linear amplitude and phase resonance .” Physical Review E, vol. 88, pp. 062913 .
Horacio G. Rotstein, Farzan Nadim. 2013. “Neurons and neural networks: Computational models.” Encyclopedia of Life Sciences (ohn Wiley \& Sons, Ltd: Chicheste), pp. DOI: 10.1002/9780470015902.a0000089.pub2.
Horacio G. Rotstein. 2013. “Abrupt and gradual transitions between low and hyperexcited firing frequencies in neuronal models with fast synaptic excitation: A comparative study.” Chaos.
Eran Stark, Ronny Eichler, Lisa Roux, Shigeyoshi Fujisawa, Horacio G. Rotstein, Gyorgy Buzsaki. 2013. “Inhibition induced theta resonance in cortical circuits.” Neuron, vol. 80, pp. 1263 - 1276.
Horacio G. Rotstein, Farzan Nadim. 2013. “Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents.” Journal of Computational Neuroscience, vol. Online First, pp. 1 - 20.
Horacio G. Rotstein, Hui Wu. 2012. “Swing, release, and escape mechanisms contribute to the generation of phase-locked patterns in a globablly coupled FitzHugh-Nagumo model.” Physical Review E, pp. 35.
Horacio G. Rotstein, Hui Wu. 2012. “Dynamic mechanisms of generation of oscillatory cluster patterns in a globally coupled chemical system.” The Journal of Chemical Physics, vol. 137, pp. 104908 (1-20).
Horacio G. Rotstein, Stephen Coombes, Ana M Gheorghe. 2012. “Canard-like explosion of limit cycles in two-dimensional piecewise-linear models of FitzHugh-Nagumo type.” SIAM Journal on Applied Dynamical Systems (SIADS), vol. 11, pp. 135 - 180.
Tilman Kispersky, John A. White, Horacio G. Rotstein. 2010. “The Mechanism of abrupt transition from normal to hyperexcitable (epileptic) spiking activity in medial entorhinal cortex layer II stellate cells.” PLoS One, vol. 5, pp. e13697 (1-21).
Yassine Boubendir, Vicenc Mendez, Horacio G. Rotstein. 2010. “Dynamics of one- and two-dimensional fronts in a bistable equation with delayed global coupling: localization and control..” Physical Review E, vol. 82, no. 1539-3755 (Print) - 1550-2376 (Online) , pp. 036601 (1-20).
Horacio G. Rotstein, Jozsi Jalics, Martin Krupa. 2010. “Mixed-mode oscillations in a three time scale system of ODEs motivated by a neural model.” Dynamical Systems: An International Journal, vol. iFirst, pp. 1-38.
Horacio G. Rotstein, Martin Wechselberger, Nancy Kopell, . 2008. “Canard induced mixed-mode oscillations in a medial entorhinal cortex layer II stellate cell model.” SIAM Journal on Applied Dynamical Systems (SIADS), vol. 7, pp. 1582 - 1611.
Eran Stark, Amir Levi, Horacio G. Rotstein. 2022. “Neuronal resonance can be generated independently at distinct levels of organization .” PLoS Computational Biology, vol. 18:e1010364.
Emel Khan, Soheil Saghafi, Casey O. Diekman, Horacio G. Rotstein. 2022. “The emergence of polyglot entrainment responses to periodic inputs in vicinities of a Hopf bifurcation.” Chaos: : A journal of Nonlinear Science, vol. 32:063137.
Rodrigo Pena, Horacio G. Rotstein. 2022. “Oscillations and variability in neuronal systems: interplay of autonomous transient dynamics and fast deterministic fluctuations.” J. Comp. Neurosci., vol. 50:331-355.
Horacio G. Rotstein. 2022. “Nonlinearities shape the response patterns to oscillatory inputs in an electrochemical cell model: resonance and more complex patterns.” SIAM J. Appl. Dyn. Sys. (SIADS), vol. 21:500-522.
Dylan Lederman, Raghav Patel, Omar Itani, Horacio G. Rotstein. 2022. “Parameter estimation in the age of degeneracy and unidentifiability.” Mathematics, vol. 10, pp. 170.
Rodrigo Pena, Horacio G. Rotstein. 2022. “The voltage and spiking responses of subthreshold resonant neurons to structured and fluctuating inputs: emergence and loss of resonance and variability.” Biol. Cyb., vol. 116:163-190.
Alexander Churki, Stephanie Kriss, Asher Uziel, Ashish Goyal, Rami Zakh , Horacio G. Rotstein, Harel Dahari, Danny Barash. 2021. “Machine learning for mathematical models of HCV kinetics.” Mathematical Biosciences , vol. 343, pp. 108756.
Juliana Reves-Szemere, Horacio G. Rotstein, Alejandra Ventura. 2021. “Frequency preference response in covalent modification cycles under substrate sequestration conditions.” Nature (npj) Systems Biology and Applications, vol. 7, pp. 32 (article number).
Andrea Bel, Romina Cobiaga, Walter Reartes, Horacio G. Rotstein. 2021. “Periodic solutions in threshold-linear networks and their entrainment.” SIAM J Applied Dyn Sys (SIADS), vol. 20, pp. 1177-1208.
Takuya Ito, Scott Brincat, Markus Siegel, Ravi D Mili, Biyu He, Earl K Miller, Horacio G. Rotstein, Michael W Cole. 2020. “Task-evoked activity quenches neural correlations and variability in large-scale brain systems.” PLoS Computational Biology.
Horacio G. Rotstein, Farzan Nadim. 2020. “Neurons and neural networks: Computational models.” Encyclopedia of Life Sciences. John Wiley \& Sons, Ltd: Chichester.
Esteban Tabak , Horacio G. Rotstein. 2019. “Analysis of spike-driven processes through attributable components .” Comm Math Sci, vol. 17, pp. 1177-1192.
Pena, Rodrigo, Lima, Vinicius, Shimoura, Renan, Ceballos, Cesar, Horacio G. Rotstein, Roque, Antonio. 2019. “Asymmetrical voltage response in resonant neurons shaped by nonlinearities.” Chaos, vol. 29, pp. 103135 (article number).
Horacio G. Rotstein, Farzan Nadim. 2019. “Membrane potential resonance arising from responses of neuronal models to oscillatory inputs in current versus voltage clamp.” Biological Cybernetics, vol. 113, pp. 373–395.
Bel, Andrea, Horacio G. Rotstein. 2019. “Resonance-based mechanisms of generation of relaxation oscillations in networks of non-oscillatory neurons.” Trends in Mathematics: Research Perspectives (CRM Barcelona, Summer 2018), vol. 2018.
Andrea Bel, Ana Torresi, Horacio G. Rotstein. 2019. “Inhibition-based relaxation oscillations emerge in resonator networks.” Mathematical Modeling of Natural Phenomena, vol. 14, pp. 405 (article number).
Andrea Bel, Horacio G. Rotstein. 2019. “Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations .” Journal of Computational Neuroscience, vol. 46, pp. 169-195.
Randolph J Leiser, Horacio G. Rotstein. 2019. “Network resonance: impedance interactions via a frequency response alternating map (FRAM).” SIAM Journal of Applied Dynamical Systems (SIADS), vol. 18, pp. 769-807.
Trinh Tran, Cagri T Unal, Laszlo Zaborszky, Alfredo Kirkwood, Horacio G. Rotstein, Jorge P. Golowasch. 2019. “Ionic current correlations are ubiquitous across phyla.” Scientific Reports, vol. 9, pp. 1687.
Horacio G. Rotstein. 2018. “Subthreshold amplitude and phase resonance in single neurons: 2D models.” Encyclopedia of Computational Neuroscience.
Horacio G. Rotstein. 2018. “Subthreshold antiresonance and antiphasonance in single neurons: 3D models .” Encyclopedia of Computational Neuroscience.
Julia Zhou, Theodore Vo, Horacio G. Rotstein, Michelle McCarthy, Nancy Kopell. 2018. “M-current expands the range of gamma frequency inputs to which the neuronal target entrains.” Journal of Mathematical Neuroscience, vol. 8, pp. 13.
Axel G. R. Turnquist, Horacio G. Rotstein. 2018. “Quadratization: From conductance-based models to caricature models with parabolic nonlinearities.” Encyclopedia of Computational Neuroscience.
Robert Kass, Shun-ichi Amari, Kensuke Arai, Emery Brown, Casey O. Diekman, Markus Diesmann, Brent Doiron, Uri Eden, Adrienne Fairhall, Grant Fiddyment, Tomoki Fukai, Sonja Grun, Matthew Harrison, Moritz Helias, Hiroyuki Nakahara, Jun-nosuke Teramae, Peter J Thomas, Mark Reimers, Jordan Rodu, Horacio G. Rotstein, Eric Shea-Brown, Hideaki Shimazaki, Shigeru Shinomoto, Byron Yu, Mark Kramer. 2018. “Computational neuroscience: mathematical and statistical perspectives.” Annual Review of Statistics and its Applications, vol. 5, no. 1, pp. 183-214.
Dennis Burke, Horacio G. Rotstein, Verónica Álvarez. 2017. “Striatal local circuitry: a new framework for lateral inhibition .” Neuron.
Horacio G. Rotstein. 2017. “Spiking resonances in models with the same slow resonant and fast amplifying ionic currents but different subthreshold dynamic properties.” Journal of Computational Neuroscience.
Horacio G. Rotstein, Elisa Schneider, Lidia Szczupak. 2017. “Feedback signal from motoneurons influences a rhythmic pattern generator.” The Journal of Neuroscience.
Randolph J. Leiser, Horacio G. Rotstein. 2017. “Emergence of localized patterns in globally coupled networks of relaxation oscillators with heterogeneous connectivity.” Physical Review E.
Horacio G. Rotstein. 2017. “Resonance modulation, annihilation and generation of anti-resonance and anti-phasonance in 3D neuronal systems: interplay of resonant and amplifying currents with slow dynamics.” Journal of Computational Neuroscience.
Yinbo Chen, Xinping Li, Horacio G. Rotstein, Farzan Nadim. 2016. “Membrane potential resonance frequency directly influences network frequency through gap junctions.” Journal of Neurophysiology, vol. 116, pp. 1554-1563.
David Fox, Hua-an Tseng, Tomasz Smolinsky, Horacio G. Rotstein, Farzan Nadim. 2017. “Mechanisms of generation of membrane potential resonance in a neuron with multiple resonant ionic currents.” PLoS Comp Biology.
Horacio G. Rotstein. 2017. “The shaping of intrinsic membrane potential oscillations: positive/negative feedback, ionic resonance/amplification, nonlinearities and time scales.” Journal of Computational Neuroscience.
Horacio G. Rotstein, Motolani Olarinre, Jorge P. Golowasch. 2016. “Dynamic compensation mechanism give rise to period and duty cycle level sets in oscillatory neuronal models.” Journal of Neurophysiology, vol. Online First.
Malena Espanol, Horacio G. Rotstein. 2015. “Complex mixed-mode oscillatory patterns in a periodically forced excitable Oregonator.” Chaos, vol. 25, pp. 064601 (18 pages).
Craig Schindewolf, Donwgook Kim, Andrea Bel, Horacio G. Rotstein. 2015. “Complex patterns in networks hyperexcitable neurons with multiple time scales.” Theoretical Computer Science C - Natural Computing, focus issue on "Brain and Neural Networks Computing.
Horacio G. Rotstein. 2015. “Cluster-size dynamics: A phenomenological model for the interaction between coagulation and fragmentation.” Journal of Chemical Physics, vol. 142, pp. 224101 (11 pages).
Horacio G. Rotstein. 2015. “Subthreshold amplitude and phase resonance in models of quadratic type: nonlinear effects generated by the interplay of resonant and amplifying currents .” Journal of Computational Neuroscience, vol. 38, pp. 325 - 354.
Horacio G. Rotstein. 2015. “Subthreshold amplitude and phase resonance in models of quadratic type: nonlinear effects generated by the interplay of resonant and amplifying currents.” J Comp Neurosci, vol. 38, pp. 325-354.
Horacio G. Rotstein, Farzan Nadim. 2014. “Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents.” Journal of Computational Neuroscience, vol. 37, pp. 9-28.
Horacio G. Rotstein. 2014. “Frequency preference response to oscillatory inputs in two-dimensional neural models: a geometric approach to subthreshold amplitude and phase resonance.” Journal of Mathematical Neuroscience, vol. 4, pp. 1 - 41 (article number 4).
Tasso J. Kaper, Mark A. Kramer, Horacio G. Rotstein. 2013. “Introduction to the focus issue: Rhythms and Dynamic Transitions in Neurological Disease: Modeling, Computation, and Experiment .” Chaos , vol. 23, pp. 046001.
Horacio G. Rotstein. 2013. “Preferred frequency responses to oscillatory inputs in an electrochemical cell model: Linear amplitude and phase resonance .” Physical Review E, vol. 88, pp. 062913 .
Horacio G. Rotstein, Farzan Nadim. 2013. “Neurons and neural networks: Computational models.” Encyclopedia of Life Sciences (ohn Wiley \& Sons, Ltd: Chicheste), pp. DOI: 10.1002/9780470015902.a0000089.pub2.
Horacio G. Rotstein. 2013. “Abrupt and gradual transitions between low and hyperexcited firing frequencies in neuronal models with fast synaptic excitation: A comparative study.” Chaos.
Eran Stark, Ronny Eichler, Lisa Roux, Shigeyoshi Fujisawa, Horacio G. Rotstein, Gyorgy Buzsaki. 2013. “Inhibition induced theta resonance in cortical circuits.” Neuron, vol. 80, pp. 1263 - 1276.
Horacio G. Rotstein, Farzan Nadim. 2013. “Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents.” Journal of Computational Neuroscience, vol. Online First, pp. 1 - 20.
Horacio G. Rotstein, Hui Wu. 2012. “Swing, release, and escape mechanisms contribute to the generation of phase-locked patterns in a globablly coupled FitzHugh-Nagumo model.” Physical Review E, pp. 35.
Horacio G. Rotstein, Hui Wu. 2012. “Dynamic mechanisms of generation of oscillatory cluster patterns in a globally coupled chemical system.” The Journal of Chemical Physics, vol. 137, pp. 104908 (1-20).
Horacio G. Rotstein, Stephen Coombes, Ana M Gheorghe. 2012. “Canard-like explosion of limit cycles in two-dimensional piecewise-linear models of FitzHugh-Nagumo type.” SIAM Journal on Applied Dynamical Systems (SIADS), vol. 11, pp. 135 - 180.
Tilman Kispersky, John A. White, Horacio G. Rotstein. 2010. “The Mechanism of abrupt transition from normal to hyperexcitable (epileptic) spiking activity in medial entorhinal cortex layer II stellate cells.” PLoS One, vol. 5, pp. e13697 (1-21).
Yassine Boubendir, Vicenc Mendez, Horacio G. Rotstein. 2010. “Dynamics of one- and two-dimensional fronts in a bistable equation with delayed global coupling: localization and control..” Physical Review E, vol. 82, no. 1539-3755 (Print) - 1550-2376 (Online) , pp. 036601 (1-20).
Horacio G. Rotstein, Jozsi Jalics, Martin Krupa. 2010. “Mixed-mode oscillations in a three time scale system of ODEs motivated by a neural model.” Dynamical Systems: An International Journal, vol. iFirst, pp. 1-38.
Horacio G. Rotstein, Martin Wechselberger, Nancy Kopell, . 2008. “Canard induced mixed-mode oscillations in a medial entorhinal cortex layer II stellate cell model.” SIAM Journal on Applied Dynamical Systems (SIADS), vol. 7, pp. 1582 - 1611.
COLLAPSE
Conference Proceeding
“Intrinsic ionic dynamics, oscillations, and resonance are reflected in and can be extracted from neuronal spike-train cross-correlations”
2022 Conference on Cognitive Computational Neuroscience, September 2022.
2022 Conference on Cognitive Computational Neuroscience, September 2022.
Chapter
David M Fox, Horacio G. Rotstein, Farzan Nadim. 2014. “Bursting in Neurons and Small Networks.” In Jaeger, Dieter; Jung, Ranu (Eds.), pp. 1-17. New York, : Springer, 2014.
Horacio G. Rotstein. 2014. “Subthreshold amplitude and phase resonance in single cells.” In Jaeger, Dieter; Jung, Ranu (Eds.), pp. 1 - 12. New York, : Springer, 2014.
Horacio G. Rotstein. 2014. “Mixed-mode oscillations in single neurons.” In Jaeger, Dieter; Jung, Ranu (Eds.), pp. 1 - 13. New York, : Springer, 2014.
Horacio G. Rotstein. 2014. “Subthreshold amplitude and phase resonance in single cells.” In Jaeger, Dieter; Jung, Ranu (Eds.), pp. 1 - 12. New York, : Springer, 2014.
Horacio G. Rotstein. 2014. “Mixed-mode oscillations in single neurons.” In Jaeger, Dieter; Jung, Ranu (Eds.), pp. 1 - 13. New York, : Springer, 2014.