Lyle J. Graham – Selected Publications


Chizhov, A.V. and Graham, L.J., A strategy for mapping biophysical to abstract neuronal network models applied to primary visual cortex. bioRxiv 2021.04.28.441749, 2021

Schramm, A., Marinazzo, D., Gener, T. and Graham, L.J., The Touch and Zap method for in vivo whole-cell patch recording of intrinsic and visual responses of cortical neurons and glial cells. PLoS ONE 9(5): e97310. doi:10.1371/journal.pone.0097310, 2014

Chizhov, A.V., Malinina, E., Druzin, M., Lyle J. Graham L.J. and Staffan Johansson, S., Firing clamp: A novel method for single-trial estimation of excitatory and inhibitory synaptic neuronal conductances, Frontiers in Cellular Neuroscience, 8(00086), 2014

Hu, H., Vervaeke, K., Graham, L. J. and Storm, J. F., Dual, complementary theta resonance filtering in hippocampal pyramidal neurons, J. Neuroscience 29(46):14472-14483, 2009

Ozer, M., Uzuntarla, M., Perc, M., Graham, L.J., Spike latency and jitter of neuronal membrane patches with stochastic Hodgkin-Huxley channels, J. Theoretical Biology, 261(1): 83-92, 2009

Ozer, M., Uzuntarla1, M., Kayikcioglu, T. and Graham, L. J., Collective temporal coherence for subthreshold signal encoding on a stochastic small-world Hodgkin-Huxley neuronal network. Physics Letters A 2008, v372, no43, pp. 6498-6503

Chizhov, A.V. Aand Graham, L.J., Efficient evaluation of neuron populations receiving colored-noise current based on a refractory density method. Physical Review E 77, 2008

Ozer, M., Graham, L.J., Impact of network activity on noise delayed spiking for a Hodgkin-Huxley model, European Physical Journal B v61:499-503, 2008

Ozer, M., Graham, L.J., Erkaymaz, O., and Uzuntaria, M., Impact of synaptic noise and conductance state on spontaneous cortical firing, Neuroreport, 18(3):1371-74, 2007

Chizhov, A.V., Graham, L.J., A population model of hippocampal pyramidal neurons, linking a refractory density approach to conductance-based neurons, Physical Review E 75, 011924, 2007

Chizhov, A.V., Graham, L.J. and Turbin, A.A., Simulation of neural population dynamics with a refractory density approach and a conductance-based threshold neuron model, Neurocomputing, v70, No. 1-3. (December 2006), pp. 252-262.

Graham, L.J., del Abajo, R., Gener, T. and Fernandez, E., A method of combined single-cell electrophysiology and electroporation, J. Neuroscience Methods, v160:69-74, 2007

Vervaeke, K., Hu, H., Graham, L.J. and Storm, J.F., Contrasting effects of the persistent Na+ current on neuronal excitability and spike timing, Neuron, v37:663-680, 2006

Monier, C., Chavane, F., Baudot, P., Graham, L.J., and Fregnac, Y., Orientation and direction selectivity of excitatory and inhibitory inputs in visual cortical neurons: A diversity of combinations produces spike tuning, Neuron, v37:663-680, 2003.

Fregnac, Y., Monier, C., Chavane, F., Baudot, P., Graham, L.J., Shunting inhibition, a silent step in visual cortical computation, J. Physiology [Paris], v97:441-451, 2003

Graham, L., Décrivant les Circuits et les Mécanismes sous-tendants le Calcul de la Direction dans la Rétine, Lettre Neurologie, v7(1):16-17, 2003.

Ahnelt, P., Ammermüller, J., Pelayo, F., Bongard, M., Palomar, D., Piedade, M., Ferrandez, J. M., Borg-Graham, L. and Fernandez, E., Neuroscientific basis for the design and development of a bioinspired visual processing front-end. IFMBE Proceedings, 2002

Borg-Graham, L., The computation of directional selectivity in the retina occurs presynaptic to the ganglion cell, Nature Neuroscience v4(2):176-183, 2001

Borst, A., Direction selectivity in ganglion cells: Pre or post?, Nature Neuroscience News and Views v4(2):119-120, 2001

Chavane, F., Monier, C., Bringuier, V., Baudot, P., Borg-Graham, L., Lorenceau, J., and Fregnac, Y., The visual cortical association field: A Gestalt concept or a psychophysiological entity?, J. Physiology [Paris], v94(5-6):333-342, 2000.

Borg-Graham, L., Additional efficient computation of branched nerve equations: Adaptive time step and ideal voltage clamp, J. Computational Neuroscience, v8(3):209-225, 2000

Shao, Li-Rong, Halvorsrud, R., Borg-Graham, L., and Storm, J. F., The role of BK-type Ca2+-dependent K+ channels in spike broadening during repetitive firing in rat hippocampal pyramidal cells, J. Physiology, v521.1:135-146, 1999

Borg-Graham, L., Monier, C., and Fregnac, Y., Visual input evokes transient and strong shunting inhibition in visual cortical neurons, Nature, v389:369-373,1998

Gazeres, N., Borg-Graham, L., and Fregnac, Y., A phenomenological model of visually evoked spike trains in cat geniculate non-lagged X-cells, Visual Neuroscience, v15:1157-1174,1998

Borg-Graham, L., Monier, C., and Fregnac, Y., Voltage-clamp measurements of visually-evoked conductances with whole-cell patch recordings in primary visual cortex, J. Physiology [Paris], v90:185-188, 1996

Smith, R. D., Grzywacz, N. M., and Borg-Graham, L., Is the input to a GABAergic synapse the sole asymmetry in turtle's retinal directional selectivity? Visual Neuroscience, v13:423-439, 1996


Graham, L., How not to get caught, News and Views, Nature Neuroscience, v5(12):1256-57, 2002

Graham, L., ModelDB, Neuroinformatics, and Computational Neuroscience, Neuroinformatics, v1:141-144, 2002

Borg-Graham, L., The slowly sleeping slab and slice, Current Biology, v11:R140-R143, 2001

Borg-Graham, L., Facilitating the science in computational neuroscience, Nature Neuroscience 3 supp., page 1191, 2000

Borg-Graham, L., Book review of Biophysics of computation: Information processing in single neurons, by Christof Koch, Trends in Neurosciences, v22(7):328-329, 1999

Book Chapters

Graham, L. J. and Schramm, A., In vivo dynamic clamp: The functional impact of synaptic and intrinsic conductances in visual cortex. In Dynamic Clamp: From Principles to Applications, ed. A. Destexhe and T. Bal, Springer Press, 2009

Storm, J., Vervaeke, K., Hu, J. and Graham, L. J., A dynamic clamp study of the persistent sodium current in hippocampus. In Dynamic Clamp: From Principles to Applications, ed. A. Destexhe and T. Bal, Springer Press, 2009

Graham, L., Modelling neuronal biophysics. In The Handbook for Brain Theory and Neural Networks, 2nd edition pp164-170, ed. M. Arbib, MIT Press, 2002

Graham, L. and Kado, R., The neuron's biophysical mosaic and its computational relevance. In The Handbook for Brain Theory and Neural Networks, 2nd edition pp170-175, ed. M. Arbib, MIT Press, 2002

Borg-Graham, L., Monier, C., and Fregnac, Y., Now you see it, now you don't: Shunting inhibition in early vision.In Vision: The Approach of Biophysics and Neurosciences pp283-299, ed. C. Musio, World Scientiic Publishing, 2001

Borg-Graham, L., Interpretations of data and mechanisms for hippocampal pyramidal cell models. In Cerebral Cortex Vol. 13 - Cortical Models, ed. E. Jones, P. Ulinski and A. Peters, pp19-138, Plenum Publishing Corporation, 1999

Borg-Graham, L. and Grzywacz, N. M., A Model of the direction selectivity circuit in retina: Transformations by neurons singly and in concert. In Single Neuron Computation, edited by T. McKenna, J. Davis, and S. F. Zornetzer, pp347-376. Academic Press, 1992

Borg-Graham, L., Modelling the non-linear conductances of excitable membranes. In Cellular Neurobiology: A Practical Approach, edited by Chad, J. and Wheal, H. pp247-275. IRL Press at Oxford University Press, 1991

Technical Reports

Borg-Graham, L., On directional selectivity in vertebrate retina: An experimental and computational study. PhD Thesis, Harvard-MIT Division of Health Sciences and Technology, 1991 (Also appears as MIT AI Lab TR 1350)

Borg-Graham, L., Modelling the somatic electrical behavior of hippocampal pyramidal neurons. Master's Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1987 (Also appears as MIT AI Lab TR 1161)

Conference Proceedings

Borg-Graham, L., Modelling the electrical behavior of cortical neurons - Simulations of hippocampal pyramidal cells, in Computer Simulation in Brain Science, edited by R. M. J. Cotterill, pp384-404, Cambridge University Press, 1987

Borg-Graham, L., Simulations suggest information processing roles for the diverse currents found in hippocampal neurons. Neural Information Processing Systems (Proceedings of the Denver NIPS Conference), edited by D.Z. Anderson, pp82-94, American Institute of Physics 1988


Parthasarathy, H., From skepticism to acceptance, Nature, 31oct, 2002

Smaglick, P., Brain Storm, Nature, 01nov, 2007