Gain Modulation from Background Synaptic Input
Open accessAbstract
Gain modulation is a prominent feature of neuronal activity recorded in behaving animals, but the mechanism by which it occurs is unknown. By introducing a barrage of excitatory and inhibitory synaptic conductances that mimics conditions encountered in vivo into pyramidal neurons in slices of rat somatosensory cortex, we show that the gain of a neuronal response to excitatory drive can be modulated by varying the level of "background" synaptic input. Simultaneously increasing both excitatory and inhibitory background firing rates in a balanced manner results in a divisive gain modulation of the neuronal response without appreciable signal-independent increases in firing rate or spike-train variability. These results suggest that, within active cortical circuits, the overall level of synaptic input to a neuron acts as a gain control signal that modulates responsiveness to excitatory drive.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Changes in the level of synaptically driven fluctuations in membrane potential may regulate the gain of the I/O curve for individual neurons.
“Changes in the level of synaptically driven fluctuations in Vm (also called synaptic fluctuations or synaptic noise) may regulate the gain of the I/O curve for individual neurons57–60 (but see REF.61).”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [57]
Under conditions of a tight balance between excitatory and inhibitory input, synaptically driven Vm fluctuations alone can produce gain control.
“Under conditions of a tight balance between excitatory and inhibitory input, synaptically driven Vm fluctuations alone can produce gain control57, and this interaction is stable even across conditions in which synaptic inputs have different temporal statistics62.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [57]
Unlike synaptically driven Vm fluctuations, changes in membrane conductance and depolarization cause lateral, or additive, shifts in the I/O transfer function of a neuron without changes in neuronal gain.
“Unlike synaptically driven Vm fluctuations, changes in membrane conductance and depolarization cause lateral, or additive, shifts in the I/O transfer function of a neuron without changes in neuronal gain57,58,60,61,83,84.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [57]
Temporally coincident changes in conductance state and synaptic fluctuations exert a powerful effect on neuronal gain at the single-cell level.
“Together, temporally coincident changes in conductance state and synaptic fluctuations exert a powerful effect on neuronal gain at the single-cell level57,58,60,61,83,84.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [57]
Cites
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · see citing works
Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
Christof Koch, A., & Ullman, S. (1987) · Springer eBooks · doi:10.1007/978-94-009-3833-5_5 · Cited by 3,739 · see citing works
Normalization of cell responses in cat striate cortex
Heeger, D. J. (1992) · Visual Neuroscience · doi:10.1017/s0952523800009640 · Cited by 1,835 · see citing works
Softky, W., & Koch, C. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-01-00334.1993 · Cited by 1,689 · see citing works
Feature-based attention influences motion processing gain in macaque visual cortex
Treue, S., & Trujillo, J. C. M. (1999) · Nature · doi:10.1038/21176 · Cited by 1,465 · see citing works
Encoding of Spatial Location by Posterior Parietal Neurons
Andersen, R., Essick, G. K., & Siegel, R. M. (1985) · Science · doi:10.1126/science.4048942 · Cited by 1,413 · see citing works
Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
Hahnloser, R. H. R., Sarpeshkar, R., Mahowald, M. A., Douglas, R. J., & Seung, H. S. (2000) · Nature · doi:10.1038/35016072 · Cited by 1,293 · see citing works
Noise, neural codes and cortical organization
Shadlen, M. N., & Newsome, W. T. (1994) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(94)90059-0 · Cited by 1,240 · see citing works
Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4
McAdams, C. J., & Maunsell, J. H. R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00431.1999 · Cited by 1,201 · see citing works
Zipser, D., & Andersen, R. A. (1988) · Nature · doi:10.1038/331679a0 · Cited by 1,172 · see citing works
Chklovskii, D. B. (2002) · Neuron · doi:10.1016/s0896-6273(02)00703-1 · Cited by 1,074 · see citing works
Attention Increases Sensitivity of V4 Neurons
Reynolds, J. H., Pasternak, T., & Desimone, R. (2000) · Neuron · doi:10.1016/s0896-6273(00)81206-4 · Cited by 1,017 · see citing works
Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons
Hupé, J. M., James, A. C., Payne, B. R., Lomber, S. G., Girard, P., & Bullier, J. (1998) · Nature · doi:10.1038/29537 · Cited by 864 · see citing works
On the actions that one nerve cell can have on another: distinguishing “drivers” from “modulators”
Sherman, S. M., & Guillery, R. W. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.7121 · Cited by 746 · see citing works
Visual input evokes transient and strong shunting inhibition in visual cortical neurons
Graham, L. J., Monier, C., & Frégnac, Y. (1998) · Nature · doi:10.1038/30735 · Cited by 669 · see citing works
Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons
Destexhe, A., Rudolph, M., Fellous, J.-M., & Sejnowski, T. J. (2001) · Neuroscience · doi:10.1016/s0306-4522(01)00344-x · Cited by 642 · see citing works
Impact of Network Activity on the Integrative Properties of Neocortical Pyramidal Neurons In Vivo
Alain Destexhe, A., & Paré, D. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.4.1531 · Cited by 621 · see citing works
Andersen, R., & Mountcastle, V. B. (1983) · Journal of Neuroscience · doi:10.1523/jneurosci.03-03-00532.1983 · Cited by 594 · see citing works
Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons
Holt, G. R., Softky, W. R., Christof Koch, A., & Douglas, R. J. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.75.5.1806 · Cited by 526 · see citing works
Synaptic background activity influences spatiotemporal integration in single pyramidal cells.
Bernander, Ö., Douglas, R. J., Martin, K. A. C., & Koch, C. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.24.11569 · Cited by 518 · see citing works
Orientation Tuning of Input Conductance, Excitation, and Inhibition in Cat Primary Visual Cortex
Anderson, J. S., Carandini, M., & Ferster, D. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.2.909 · Cited by 499 · see citing works
Input synchrony and the irregular firing of cortical neurons
Stevens, C. F., & Zador, A. M. (1998) · Nature Neuroscience · doi:10.1038/659 · Cited by 466 · see citing works
Spatial Transformations in the Parietal Cortex Using Basis Functions
Pouget, A., & B, T. J. S. A. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.2.222 · Cited by 426 · see citing works
The Contribution of Noise to Contrast Invariance of Orientation Tuning in Cat Visual Cortex
Anderson, J. S., Lampl, I., Gillespie, D. C., & Ferster, D. (2000) · Science · doi:10.1126/science.290.5498.1968 · Cited by 422 · see citing works
Diffusion Processes and Related Topics in Biology
Ricciardi, L. M. (1977) · Lecture notes in biomathematics · doi:10.1007/978-3-642-93059-1 · Cited by 407 · see citing works
Salinas, E., & Thier, P. (2000) · Neuron · doi:10.1016/s0896-6273(00)00004-0 · Cited by 400 · see citing works
Synaptic integration in an excitable dendritic tree
Mel, B. W. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.3.1086 · Cited by 394 · see citing works
Synaptic Integration in Striate Cortical Simple Cells
Hirsch, J. A., Alonso, J., Reid, R. C., & Martı́nez, L. M. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-22-09517.1998 · Cited by 326 · see citing works
A model of multiplicative neural responses in parietal cortex.
Salinas, E., & Abbott, L. F. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.21.11956 · Cited by 319 · see citing works
Self-citationReyes, A. D., & Sakmann, B. J. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-10-03827.1999 · Cited by 304 · see citing works
Self-citationTransfer of coded information from sensory to motor networks
Salinas, E., & Abbott, L. F. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-10-06461.1995 · Cited by 295 · see citing works
Self-citationThe dynamic clamp: artificial conductances in biological neurons
Sharp, A. A., O'Neil, M. B., Abbott, L. F., & Marder, E. E. (1993) · Trends in Neurosciences · doi:10.1016/0166-2236(93)90004-6 · Cited by 293 · see citing works
Self-citationEffects of Attention on the Reliability of Individual Neurons in Monkey Visual Cortex
McAdams, C. J., & Maunsell, J. H. R. (1999) · Neuron · doi:10.1016/s0896-6273(01)80034-9 · Cited by 286 · see citing works
Synaptic Background Activity Enhances the Responsiveness of Neocortical Pyramidal Neurons
Hô, N., & Destexhe, A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.3.1488 · Cited by 281 · see citing works
McKenna, T. M., Davis, J. L., & Zornetzer, S. F. (1992) · Cited by 253 · see citing works
Shunting Inhibition Does Not Have a Divisive Effect on Firing Rates
Holt, G. R., & Koch, C. (1997) · Neural Computation · doi:10.1162/neco.1997.9.5.1001 · Cited by 250 · see citing works
Troyer, T. W., & Miller, K. D. (1997) · Neural Computation · doi:10.1162/neco.1997.9.5.971 · Cited by 246 · see citing works
Robinson, H. P. C., & Kawai, N. (1993) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(93)90119-c · Cited by 234 · see citing works
Auditory Spatial Receptive Fields Created by Multiplication
Peña, J. L., & Konishi, M. (2001) · Science · doi:10.1126/science.1059201 · Cited by 223 · see citing works
Neural Noise Can Explain Expansive, Power-Law Nonlinearities in Neural Response Functions
Miller, K. D., & Troyer, T. W. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00425.2001 · Cited by 207 · see citing works
Rapp, M., Yarom, Y., & Segev, I. (1992) · Neural Computation · doi:10.1162/neco.1992.4.4.518 · Cited by 185 · see citing works
How Noise Contributes to Contrast Invariance of Orientation Tuning in Cat Visual Cortex
Hansel, D., & van Vreeswijk, C. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-12-05118.2002 · Cited by 157 · see citing works
Striate cortex increases contrast gain of macaque LGN neurons
Przybyszewski, A. W., Gaska, J., Foote, W. E., & Pollen, D. A. (2000) · Visual Neuroscience · doi:10.1017/s0952523800174012 · Cited by 153 · see citing works
Regulation of Firing Response Gain by Calcium-Dependent Mechanisms in Vestibular Nucleus Neurons
Smith, M. R., Nelson, A., & du Lac, S. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00821.2001 · Cited by 147 · see citing works
Bastian, J. (1986) · Journal of Neuroscience · doi:10.1523/jneurosci.06-02-00553.1986 · Cited by 145 · see citing works
Multiplying with Synapses and Neurons
Christof Koch, A., & Poggio, T. (1992) · Elsevier eBooks · doi:10.1016/b978-0-12-484815-3.50019-0 · Cited by 140 · see citing works
(1992) · Elsevier eBooks · doi:10.1016/c2009-0-22208-2 · Cited by 137 · see citing works
Invariant Visual Responses From Attentional Gain Fields
Salinas, E., & Abbott, L. F. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.6.3267 · Cited by 129 · see citing works
Self-citationTiesinga, P. H. E., José, J. V., & Sejnowski, T. J. (2000) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.62.8413 · Cited by 113 · see citing works
Subtractive and Divisive Inhibition: Effect of Voltage-Dependent Inhibitory Conductances and Noise
Doiron, B., Longtin, A., Berman, N. J., & Maler, L. (2001) · Neural Computation · doi:10.1162/089976601300014691 · Cited by 110 · see citing works
A proposed mechanism for multiplication of neural signals
Srinivasan, M. V., & Bernard, G. D. (1976) · Biological Cybernetics · doi:10.1007/bf00344168 · Cited by 82 · see citing works
Synthesis of Chlorophyllide b from Protochlorophyllide in Chlamydomonas reinhardtii y-1
Bednarik, D. P., & Hoober, J. K. (1985) · Science · doi:10.1126/science.230.4724.450 · Cited by 59 · see citing works
Rapp, M., Yarom, Y., & Segev, I. (1999) · The MIT Press eBooks · doi:10.7551/mitpress/4924.003.0022 · Cited by 11 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060 · see citing works
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612 · see citing works
Variations on an inhibitory theme: phasic and tonic activation of GABAA receptors
Farrant, M., & Nusser, Z. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1625 · Cited by 2,081 · see citing works
Normalization as a canonical neural computation
Carandini, M., & Heeger, D. J. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3136 · Cited by 1,906 · see citing works
How Inhibition Shapes Cortical Activity
Isaacson, J. S., & Scanziani, M. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.027 · Cited by 1,678 · see citing works
The Normalization Model of Attention
Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457 · see citing works
Interneuron cell types are fit to function
Kepecs, A., & Fishell, G. (2014) · Nature · doi:10.1038/nature12983 · Cited by 1,110 · see citing works
Highly selective receptive fields in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0623-08.2008 · Cited by 1,081 · see citing works
Turning on and off recurrent balanced cortical activity
Shu, Y., Hasenstaub, A., & McCormick, D. A. (2003) · Nature · doi:10.1038/nature01616 · Cited by 1,054 · see citing works
Thalamus plays a central role in ongoing cortical functioning
Sherman, S. M. (2016) · Nature Neuroscience · doi:10.1038/nn.4269 · Cited by 809 · see citing works
Cellular mechanisms of brain state-dependent gain modulation in visual cortex
Polack, P.-O., Friedman, J., & Golshani, P. (2013) · Nature Neuroscience · doi:10.1038/nn.3464 · Cited by 628 · see citing works
Regulation and function of adult neurogenesis: from genes to cognition.
Aimone, J. B., Li, Y., Lee, S. W., Clemenson, G. D., Deng, W., & Gage, F. H. (2014) · Physiological Reviews · doi:10.1152/physrev.00004.2014 · Cited by 635 · see citing works
Shunting Inhibition Modulates Neuronal Gain during Synaptic Excitation
Mitchell, S. J., & Silver, R. A. (2003) · Neuron · doi:10.1016/s0896-6273(03)00200-9 · Cited by 602 · see citing works
Gain control by layer six in cortical circuits of vision
Olsen, S. R., Bortone, D. S., Adesnik, H., & Scanziani, M. (2012) · Nature · doi:10.1038/nature10835 · Cited by 539 · see citing works
Hefft, S., & Jonas, P. (2005) · Nature Neuroscience · doi:10.1038/nn1542 · Cited by 583 · see citing works
Buzsáki, G., & Watson, B. O. (2012) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2012.14.4/gbuzsaki · Cited by 579 · see citing works
Vogels, T. P., Rajan, K., & Abbott, L. F. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135637 · Cited by 497 · see citing works
Self-citationNeural Circuitry of Reward Prediction Error
Watabe-Uchida, M., Eshel, N., & Uchida, N. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031109 · Cited by 437 · see citing works
Silver, R. A. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2864 · Cited by 481 · see citing works
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Haider, B., & McCormick, D. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.008 · Cited by 441 · see citing works
Nonlinear dynamic causal models for fMRI
Stephan, K. E., Kasper, L., Harrison, L. M., Daunizeau, J., den Ouden, H. E. M., Breakspear, M., & Friston, K. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.262 · Cited by 416 · see citing works
Synaptic Dynamics in Analog VLSI
Bartolozzi, C., & Indiveri, G. (2007) · Neural Computation · doi:10.1162/neco.2007.19.10.2581 · Cited by 377 · see citing works
Top-down Dendritic Input Increases the Gain of Layer 5 Pyramidal Neurons
Larkum, M. E. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh065 · Cited by 366 · see citing works
Oscillatory multiplexing of population codes for selective communication in the mammalian brain
Akam, T., & Kullmann, D. M. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3668 · Cited by 327 · see citing works
Distinct functions for direct and transthalamic corticocortical connections
Sherman, S. M., & Guillery, R. W. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00429.2011 · Cited by 336 · see citing works
Liu, G. (2004) · Nature Neuroscience · doi:10.1038/nn1206 · Cited by 339 · see citing works
Effects of Spatial Attention on Contrast Response Functions in Macaque Area V4
Williford, T., & Maunsell, J. H. R. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01207.2005 · Cited by 353 · see citing works
Duan, Q., Jing, Z., Zou, X., Wang, Y., Yang, K., Zhang, T., Wu, S., Huang, R., & Yang, Y. (2020) · Nature Communications · doi:10.1038/s41467-020-17215-3 · Cited by 339 · see citing works
Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327 · see citing works
Input normalization by global feedforward inhibition expands cortical dynamic range
Pouille, F., Marin-Burgin, A., Adesnik, H., Atallah, B. V., & Scanziani, M. (2009) · Nature Neuroscience · doi:10.1038/nn.2441 · Cited by 306 · see citing works
Howard, M. W., Fotedar, M. S., Datey, A. V., & Hasselmo, M. E. (2005) · Psychological Review · doi:10.1037/0033-295x.112.1.75 · Cited by 283 · see citing works
Barrages of Synaptic Activity Control the Gain and Sensitivity of Cortical Neurons
Shu, Y., Hasenstaub, A., Badoual, M., Bal, T., & McCormick, D. A. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-32-10388.2003 · Cited by 298 · see citing works
Fellous, J.-M., Rudolph, M., Destexhe, A., & Sejnowski, T. J. (2003) · Neuroscience · doi:10.1016/j.neuroscience.2003.08.027 · Cited by 273 · see citing works
Neocortical Pyramidal Cells Respond as Integrate-and-Fire Neurons to In Vivo–Like Input Currents
Rauch, A., La Camera, G., Lüscher, H.-R., Senn, W., & Fusi, S. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00293.2003 · Cited by 264 · see citing works
A Normalization Model of Attentional Modulation of Single Unit Responses
Lee, J., & Maunsell, J. H. R. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004651 · Cited by 257 · see citing works
Peters (2010) · doi:10.1016/j.neuron.2010.03.027 · Cited by 244 · see citing works
Representation of Concurrent Stimuli by Population Activity in Visual Cortex
Busse, L., Wade, A. R., & Carandini, M. (2009) · Neuron · doi:10.1016/j.neuron.2009.11.004 · Cited by 247 · see citing works
The Emergence of Contrast-Invariant Orientation Tuning in Simple Cells of Cat Visual Cortex
Finn, I. M., Priebe, N. J., & Ferster, D. (2007) · Neuron · doi:10.1016/j.neuron.2007.02.029 · Cited by 248 · see citing works
Gain control of firing rate by shunting inhibition: Roles of synaptic noise and dendritic saturation
Prescott, S. A., & De Koninck, Y. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0337591100 · Cited by 226 · see citing works
Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons
Tian, J., Huang, R., Cohen, J. Y., Osakada, F., Kobak, D., Machens, C. K., Callaway, E. M., Uchida, N., & Watabe-Uchida, M. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.018 · Cited by 224 · see citing works
From the stochasticity of molecular processes to the variability of synaptic transmission
Ribrault, C., Sekimoto, K., & Triller, A. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3025 · Cited by 198 · see citing works
The “Task B problem” and other considerations in developmental functional neuroimaging
Church, J. A., Petersen, S. E., & Schlaggar, B. L. (2010) · Human Brain Mapping · doi:10.1002/hbm.21036 · Cited by 148 · see citing works
Ozeki, H., Sadakane, O., Akasaki, T., Naito, T., Shimegi, S., & Sato, H. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3852-03.2004 · Cited by 136 · see citing works
Motor primitives in space and time via targeted gain modulation in cortical networks
Stroud, J. P., Porter, M. A., Hennequin, G., & Vogels, T. P. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0276-0 · Cited by 119 · see citing works
Enhancement of visual responsiveness by spontaneous local network activity in vivo
Haider, B., Duque, A., Hasenstaub, A. R., Yu, Y., & McCormick, D. A. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01114.2006 · Cited by 130 · see citing works
Serotonin Affects Movement Gain Control in the Spinal Cord
Wei, K., Glaser, J. I., Deng, L., Thompson, C. K., Stevenson, I. H., Wang, Q., Hornby, T. G., Heckman, C. J., & Kording, K. P. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1855-14.2014 · Cited by 135 · see citing works
Higgs, M. H., Slee, S. J., & Spain, W. J. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1792-06.2006 · Cited by 124 · see citing works
Deterministic Multiplicative Gain Control with Active Dendrites
Mehaffey, W. H., Doiron, B., Maler, L., & Turner, R. W. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2682-05.2005 · Cited by 120 · see citing works
Astroglial networks promote neuronal coordination
Chever, O., Dossi, E., Pannasch, U., Derangeon, M., & Rouach, N. (2016) · Science Signaling · doi:10.1126/scisignal.aad3066 · Cited by 107 · see citing works
Carvalho, T. P., & Buonomano, D. V. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.013 · Cited by 100 · see citing works
Akam, T. E., & Kullmann, D. M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002760 · Cited by 93 · see citing works
Cardin, J. A., Palmer, L. A., & Contreras, D. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.002 · Cited by 90 · see citing works
Arsiero, M., Lüscher, H.-R., Lundstrom, B. N., & Giugliano, M. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4937-06.2007 · Cited by 75 · see citing works
Cellular mechanisms of temporal sensitivity in visual cortex neurons
Cardin, J. A., Kumbhani, R. D., Contreras, D., & Palmer, L. A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5279-09.2010 · Cited by 62 · see citing works
Ali, A. B., & Todorova, M. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07165.x · Cited by 66 · see citing works
The contribution of synaptic location to inhibitory gain control in pyramidal cells
Pouille, F., Watkinson, O., Scanziani, M., & Trevelyan, A. J. (2013) · Physiological Reports · doi:10.1002/phy2.67 · Cited by 65 · see citing works
Response-dependent dynamics of cell-specific inhibition in cortical networks in vivo
El-Boustani, S., & Sur, M. (2014) · Nature Communications · doi:10.1038/ncomms6689 · Cited by 61 · see citing works
Lundstrom, B. N., Famulare, M., Sorensen, L. B., Spain, W. J., & Fairhall, A. L. (2009) · Journal of Computational Neuroscience · doi:10.1007/s10827-009-0142-x · Cited by 53 · see citing works
Dauvermann, M. R., Whalley, H. C., Romaniuk, L., Valton, V., Owens, D. G. C., Johnstone, E. C., Lawrie, S. M., & Moorhead, T. W. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.063 · Cited by 49 · see citing works
Guan, D., Armstrong, W. E., & Foehring, R. C. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00524.2014 · Cited by 47 · see citing works
Niyogi, R. K., & Wong-Lin, K. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003099 · Cited by 47 · see citing works
Balanced Synaptic Input Shapes the Correlation between Neural Spike Trains
Litwin-Kumar, A., Oswald, A.-M. M., Urban, N. N., & Doiron, B. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002305 · Cited by 46 · see citing works
Time-dependent, layer-specific modulation of sensory responses mediated by neocortical layer 1
Shlosberg, D., Amitai, Y., & Azouz, R. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00520.2006 · Cited by 34 · see citing works
Neuronal gain modulability is determined by dendritic morphology: A computational optogenetic study
Jarvis, S., Nikolic, K., & Schultz, S. R. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006027 · Cited by 28 · see citing works
“There have been several proposed mechanisms for how a neuron alters 14 the relationship between its input and output, including the use of shunting inhibition to 15 shift the input-output curve [12, 13], and varying the rate of background synaptic noise, 16 decreasing the ability of the neuron to detect target input s…”
BackgroundRegulation of Cortical Dynamic Range by Background Synaptic Noise and Feedforward Inhibition
Khubieh, A., Ratté, S., Lankarany, M., & Prescott, S. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv157 · Cited by 23 · see citing works
Sakamoto, K., Katori, Y., Saito, N., Yoshida, S., Aihara, K., & Mushiake, H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080906 · Cited by 13 · see citing works
- Authors
- Chance, F. S., Abbott, L. F., & Reyes, A. D.
- Affiliations
- New York University (US)
- Brandeis University (US)
- Corresponding author
- Chance, Frances S
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2002-08
- Volume
- 35
- Issue
- 4
- Pages
- 773-782
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2125733184
- Semantic Scholar
- 5d029a01567233b80cba7e0d0fab6e7b6d729c42
- Cited by
- 1,012
- References
- 53
- Citations by year
- 2026: 28 · 2025: 25 · 2024: 29 · 2023: 24 · 2022: 25 · 2021: 46 · 2020: 25 · 2019: 52 · 2018: 41 · 2017: 33 · 2016: 41 · 2015: 38 · 2014: 45 · 2013: 50 · 2012: 47
- FWCI
- 26.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Eye Institute (T32EY007136)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- gain modulation, pyramidal neurons, somatosensory cortex, cortical circuits, spike train variability, firing rate
- MeSH terms
- Action Potentials, Animals, Electric Stimulation, Models, Neurological, Neural Inhibition, Neural Pathways, Synaptic Transmission, Neurons, Organ Culture Techniques, Somatosensory Cortex, Synapses, Genetic Variation, Artifacts, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
