Research Associate ProfessorClick here to see the NeuronC User's Manual. Click here to receive the NeuronC distribution.
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RESEARCH INTERESTS:
Understanding how the structure, biophysical properties, and synaptic
connections of a neuron influence its signal processing function within the
surrounding neural circuit.
RESEARCH SUMMARY: My laboratory studies how retinal circuitry processes visual signals. We analyze what is known about a circuit, construct a biophysically realistic model of it, and through simulation attempt to reconcile the circuit's known physiological properties with the function of its neural components. This allows us to suggest a functional interpretation for biophysical features such as dendritic branching, density of voltage-gated membrane channels, and specific location, strength, and properties of synaptic inputs. Including the noise properties of membrane channels and synaptic vesicle release, we generate realistic noise properties that we compare directly with recordings from live neurons. We currently study 4 circuits: 1) the cone photoreceptor to horizontal cell network, 2) the pathway from rod photoreceptors to ganglion cells used during dark adaptation, 3) the brisk-transient (alpha) ganglion cell, its spike generator, and its presynaptic circuitry, and 4) the direction-selective ganglion cell and the starburst amacrine network that shapes its responses.
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Other vision researchers at Penn with similar interests:
Nikonov SS, Lyubarsky A, Fina ME, Nikonova ES, Sengupta A, Chinniah C, Ding X-Q, Smith RG, Pugh EN Jr, Vardi N, Dhingra A. (2013) Cones Respond to Light in the Absence of Beta Transducin Subunit, J Neurosci 33:5182-5194
Taylor WR, Smith RG (2012) The role of starburst amacrine cells in visual signal processing, Visual Neuroscience 29:73-81
Trenholm S, Johnson K, Li X, Smith RG, Awatramani GB (2011) Parallel Mechanisms Encode Direction in the Retina, Neuron 71:683-694 DOI 10.1016/j.neuron.2011.06.020
Schachter MJ, Oesch N, Smith RG, Taylor WR. (2010) Dendritic Spikes Amplify the Synaptic Signal to Enhance Detection of Motion in a Simulation of the Direction-Selective Ganglion Cell. PLoS Comput Biol 6(8): e1000899. doi:10.1371/journal.pcbi.1000899.
Lipin MY, Smith RG, Taylor WR. (2010) Maximizing contrast resolution in the outer retina of mammals. Biol Cybern. 103:57-77. Epub 2010 Apr 2.
Borghuis, B.G., Sterling, P. and Smith, R.G. (2009) Loss of sensitivity in an analog neural circuit. J Neurosci 29: 3045-3058.
Yin L, Smith, R.G., Sterling, P. and Brainard D.H (2009) Physiology and morphology of color-opponent ganglion cells in a retina expressing a dual gradient of S and M opsins. J Neurosci 29: 2706-2724.
Xu, Y, Sulaiman, P, Fedderson, R., Liu, J., Smith, R.G. and Vardi, N. (2008) Retinal On- bipolar cells express a new PCP-2 splice variant that accelerates the light response. J Neurosci 28:8873-8884.
Borghuis BG, Ratliff CP, Smith RG, Sterling P,
Balasubramanian V. (2008) Design of a neuronal array. J Neurosci 28:3178-3189.
Yin L, Smith RG, Sterling P, Brainard DH
(2006) Chromatic properties of horizontal and ganglion cell
responses follow a dual gradient in cone opsin expression.
J Neurosci 26:12351-12361.
Dhingra NK, Freed, MA, Smith RG
(2005) Voltage-gated sodium channels improve contrast sensitivity of a retinal
ganglion cell. J Neurosci 25:8097-8103.
Xu Y, Dhingra NK, Smith RG, Sterling P
(2005) Sluggish and brisk ganglion cells detect contrast with similar
sensitivity. J Neurophsiol 93:2388-2395.
Berntson A, Smith RG, Taylor WR
(2004) Postsynaptic calcium feedback between rods and rod bipolar
cells in the mouse retina. Visual Neurosci 21:913-924.
Berntson A, Smith RG, Taylor WR
(2004) Transmission of single photon signals through a binary
synapse in the mammalian retina.
Visual Neurosci 21:693-702.
Taylor WR, and Smith RG
(2004) Transmission of scotopic signals from the rod to
rod-bipolar cell in the mammalian retina.
Vision Res. (2004) 44: 3269-3276.
Tukker JJ, Taylor WR, and
Smith, RG. (2004) Direction selectivity in a model of the
starburst amacrine cell. Visual Neurosci. (2004)21: 611-625.
Dhingra NK, and Smith RG
(2004) Spike generator limits efficiency of information transfer in a
retinal ganglion cell J. Neurosci. (2004) 24: 2914-2922.
Freed, M.A., Smith,
R.G., and Sterling, P. (2003) Timing of quantal release from
the retinal bipolar terminal is regulated by a feedback circuit.
Neuron, 38: 89-101.
van Rossum, M.C.W.,
O'Brien, B., and Smith, R.G. (2003) Effects of noise on the spike
timing precision of retinal ganglion cells. J. Neurophysiol. 89:2406-2419.
Dhingra, N.K., Kao, Y.-H., Sterling,
P., and Smith, R. (2003) Contrast treshold of a
brisk-transient ganglion cell in vitro. J. Neurophysiol.
89:2360-2369.
DeVries S, Qi X-F, Smith R,
Makous W, and Sterling, P. (2002) Electrical
coupling enhances contrast sensitivity of foveal cones.
Current Biology 12:1900-1907.
Hsu, A., Smith, R.G.,
Buchsbaum, G., and Sterling, P. (2000) Cost of coupling to
trichomacy in foveal cones. J Optical Soc. Am. A 17:(3) 635-640.
van Rossum, M.C.W., and
Smith, R.G. (1998) Noise removal at the rod synapse. Visual
Neurosci., 15: 809-821.
Hsu, A., Tsukamoto, Y.,
Smith, R.G., and Sterling, P (1998) Functional architecture
of primate cone and rod axons. Vision Research 38:
2539-2549.
Vardi, N. and Smith, R.G.
(1996) The AII amacrine array: coupling can increase
correlated activity. Vision Res. 36: 3743-3757.
Smith, R.G. (1995)
Simulation of an anatomically-defined local circuit: the
cone-horizontal cell network in cat retina. Visual Neurosci., 12:
545-561.
Smith, R.G., and Vardi, N.
(1995) Simulation of the AII amacrine cell in cat retina:
Functional consequences of electrical coupling and regenerative
membrane properties. Visual Neurosci., 12: 851-860.
Hsu, A., and Smith, R.G. (1994) Simulating the foveal cone
receptive field. In: Computation in Neurons and Neural Systems,
Ed. by Frank H. Eeckman. Kluwer Academic Publishers, Boston.
Smith, R.G. (1994)
Measurement of simulation speed: its relation to simulation
accuracy. In: Computation in Neurons and Neural Systems, Ed. by
Frank H. Eeckman. Kluwer Academic Publishers, Boston.
Freed, M.A., Smith, R.G., and
Sterling, P. (1992) Computational model of the on-alpha ganglion
cell receptive field based on bipolar cell circuitry. Proc. Nat.
Acad. Sci. 89: 236-240.
Smith, R.G.(1992) NeuronC:
a computational language for investigating functional
architecture of neural circuits. J. Neurosci. Meth 43: 83-
108.
Sterling, P., Cohen, E.,
Smith, R.G., and Tsukamoto, Y. (1992) Retinal circuits for
daylight: why ballplayers don't wear shades. In: Analysis and
Modeling of Neural Systems, Ed. by Frank H. Eeckman. Kluwer
Academic Publishers.
Tsukamoto, Y., Smith, R.G., and Sterling, P. (1990)
"Collective coding" of correlated cone signals in the retinal ganglion cell.
Proc. Nat. Acat. Sci. 87: 1860-1864.
Smith, R.G., and Sterling, P. (1990)
Cone receptive field in cat retina computed from microcircuitry.
Visual Neurosci. 5: 453-461.
Sterling, P., Freed, M.A., and Smith, R.G. (1988) Functional
architecture of the rod and cone circuits to the on-beta ganglion
cell. J. Neurosci. 8:623- 642.
Smith, R.G. (1987) Montage:
a system for three-dimensional reconstruction by personal
computer. J. Neurosci. Meth. 21:55-69.
Sterling, P., Cohen, E., Freed,
M.A., and Smith, R.G. (1987) Microcircuitry of the on-beta
ganglion cell in daylight, twilight and starlight. Neurosci.
Research, Suppl. 6, S269-S285.
Freed, M.A., Smith, R.G.,
and Sterling, P. (1987) Functional architecture of the rod
bipolar neuron in cat retina. J. Comp. Neurol. 266: 445-455.
Smith, R.G., Freed, M.A.,
and Sterling, P. (1986) Microcircuitry of the dark-adapted cat
retina: Functional architecture of the rod-cone network. J.
Neurosci 6:3505-3517.
Sterling, P., Freed, M.A.,
and Smith, R.G. (1986) Microcircuitry and functional architecture
of the cat retina. Trends in Neurosci. 9:186-192.
Kauffman, S.A., and Smith, R.G. (1986) Adaptive automata based on darwinian selection. Physica 22D:68-82.
Taylor WR, Smith RG. (2011) Trigger features and excitation in the retina, Curr Opin Neurobiol, 21:672-678. doi:10.1016/j.conb.2011.07.001
Smith, R.G. (20010b) Rod photoreceptor cells: soma and synapse. In Eds, Besharse J, Dana R, and Dartt DA, et al, Encyclopedia of the Eye, 4-volume set, May, 2010, Academic Press, ISBN-13: 9780123741981.
Smith, R.G. (20010a) Cone photoreceptor cells: soma and synapse. In Eds, Besharse J, Dana R, and Dartt DA, et al, Encyclopedia of the Eye, 4-volume set, May, 2010, Academic Press, ISBN-13: 9780123741981.
Smith, R.G. and Dhingra, N.K. (2009) Ideal observer analysis of signal quality in retinal circuits. Prog Ret Eye Research. 28:263-288. Epub 2009 May 13.
Smith, R.G. (2008) Contributions of Horizontal Cells. In: Allan I. Basbaum, Akimichi Kaneko, Gordon M. Shepherd, and Gerald Westheimer (Editors) The Senses: A Comprehensive Reference, Vol 1, Vision I, Richard Masland, and Thomas D Albright, Eds. San Diego, Academic Press, p 348-350.
Dhingra NK, Smith R, Sterling P (2003) Psychophysics to biophysics: how perception depends on circuits, synapses, and vesicles. In: A. Kaneko (Ed) The Neural Basis of Early Vision. Keio University International symposia for Life Sciences and Medicine, Springer-Verlag, Tokyo, Vol. 11.
Smith, R.G. (2003) Retina. In: Michael A. Arbib (Ed.): The Handbook of Brain Theory and Neural Networks (second ed). MIT Press.
Smith RG, Dhingra NK, Kao YH, Sterling P (2001) How efficiently a ganglion cell codes the visual signal. Proc. IEEE Eng. Med. Biol. Soc., IEEE, Piscataway, NJ, Vol. 1, pp 663-665.
Sterling, P., Smith, R.G., Rao, R., and Vardi, N. (1995) Functional architecture of mammalian outer retina and bipolar cells. In: Archer S., Djamgoz, M.B.A., and Vallerga, S. (Eds.): Neurobiology of the vertebrate outer retina. Chapman & Hall, Ltd., London.
Smith, R.G. Neuron-C - A simulation language for testing hypotheses about neural performance.