Fairhall lab

Fairhall, A.L. In silico: where next? eNeuro (2021)

Fairhall, A.L. and Marder, E. Acknowledging female voices. Nat. Neuroscience 23:904-905 (2020)

Latimer, K. and A.L. Fairhall, Capturing multiple timescales of adaptation to second-order statistics with generalized linear models: gain scaling and fractional differentiation. Frontiers in Systems Neurosci., 14 (60)  (2020)

Latimer, K., D. Barbera, M. Sokoletsky, B. Awwad, Y. Katz, I. Nelken, I. Lampl, A.L. Fairhall, and N. J. Priebe, Multiple timescales account for adaptive responses across sensory cortices. J. Neurosci. 39 (50) 10019-10033 (2019)

Weber, A. and A. Fairhall, The role of adaptation in neural coding. Curr. Opinions in Neurobiology, 58:135-40 (2019)

Lansdell, B., I. Milovanovic, C. Mellema, E.E. Fetz, A.L. Fairhall, CT Moritz. Reconfiguring motor circuits for a joint manual and BCI task. IEEE Trans. Neural Sys. & Rehab. Eng. 28(1): 248-257 (2019)

Vinauger, C., F. van Breugel, L.T. Locke, K.S. Tobin, M. H. Dickinson, A.L. Fairhall, O.S. Akbari, J.A. Riffell. Visual-olfactory integration in the human disease vector mosquito Aedes aegypti. Curr. Biology 29, 2509–2516 (2019)

Weber, A., K. Krishnamurthy and A.L. Fairhall. Coding principles in adaptation. Ann. Rev. Vis. Sci., 5:427-449  (2019)

Pang, R. and A.L. Fairhall. Fast and flexible sequence induction in spiking neural networks via rapid excitability changes. eLife 8:e44324 doi: 10.7554/eLife.44324 (2019)

Duffy, A., E. Abe, D. Perkel and A.L. Fairhall, Variation in sequence dynamics improves maintenance of stereotyped behavior: an example from bird song. PNAS 116 (19) 9592-9597 (2019)

Fairhall AL. Whither variability? (Commentary on Churchland et al, 2010). Nat Neurosci.  Mar;22(3):329-330 (2019)

Pang, R., F. van Breugel, M. Dickinson, J.A. Riffell, A.L. Fairhall, History dependence in insect flight decisions during odor tracking. PLOS Comp. Biol.  https://doi.org/10.1371/journal.pcbi.1005969 (2018)

Kass, R.E. et al., Computational Neuroscience: Mathematical and Statistical Perspectives.  Ann. Rev. Statistics and its Application, 5:183-214 (2018)

Budzillo, A, A. Duffy, A.L. Fairhall and D. Perkel, Dopaminergic modulation of basal ganglia output through coupled excitation–inhibition. PNAS 114(22):5713-5718 (2017)

Mease RA, T. Kuner, A.L. Fairhall, A. Groh. Multiplexed spike coding and adaptation in the thalamus.    Cell Reports 19, pp 1130-1140 (2017)

Lajoie, G., N. Krouchev, J. Kalaska, A. Fairhall, E. Fetz, Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface. PLoS Comp. Biol., 13(2):e1005343 (2017)

Aljadeff, Y., B. Lansdell, A. Fairhall and D. Kleinfeld, Spike train analysis, deconstructed. Neuron 91(2), pp 221–259 (2016)

Pang, R, B. Lansdell, and A. Fairhall. Dimensionality reduction in neuroscience. Current Biology, 26(14), pp 656–660 (2016)

Pang, R. and A. L. Fairhall, Let music play while she doth make her choice. Preview of Clements et al., Connecting neural codes with behavior in the auditory system of Drosophila. Neuron, 87 (2015), pp. 1126-1128.

van Breugel, F., J. Riffell, A. L. Fairhall and M. H. Dickinson, Mosquitoes use vision to associate odor plumes with thermal targets. Curr. Biology 25(16):2123-9 (2015)

Schwemmer, M., A.L. Fairhall, S. Deneve and E. Shea-Brown, Constructing precisely computing networks with biophysical spiking neurons. J. Neurosci. 35(28):10112-34 (2015)

Yuste, R. and A.L. Fairhall, Temporal dynamics in resting state fMRI activity. Commentary on Mitra et al., Lag threads organize the brain’s intrinsic activity, PNAS 12(17) 5263-5264 (2015)

Sponberg, S., T. Daniel and A.L. Fairhall, Dual dimensionality reduction reveals independent encoding of motor features in a muscle synergy for insect flight control.  PLoS Comp. Biol. 11(4):e1004168 (2015)

Gjorgjieva, J., R. Mease, W. Moody and A. Fairhall, Intrinsic neuronal properties govern information transmission in networks. PLoS Comp. Biol. 10(12):e1003962 (2014).

Sompolinsky, H and Fairhall, A. Editorial overview: Theoretical and computational neuroscience. Curr Opin Neurobiol. 25 (2014)

Fairhall, A. The receptive field is dead. Long live the receptive field? Curr Opin Neurobiol. 25 (2014)

Barnett, H., J. Gjorgjieva, K. Weir, C. Comfort, A.L. Fairhall and W. Moody, Relationship between individual neuron and network spontaneous activity in developing mouse cortex. J Neurophysiol. 112(12):3033-45 (2014)

Mease, R.M., S. Lee, A. Moritz, R.K. Powers, M.D. Binder, and A. L. Fairhall. Context-dependent coding in single neurons. J. Comp. Neurosci. 37(3):459-80 (2014)

Schnell, B., I. Roth, P. Weir, A. Fairhall and M. Dickinson, A cellular mechanism for integral feedback in visually guided behavior. PNAS 111(15):5700-5 (2014)

Mease, R., M. Famulare, J. Gjorgjieva, W. Moody and A. Fairhall. Emergence of adaptive computation by single neurons in the developing cortex. J. Neurosci.  33(30):12154-70 (2013)

Fairhall, A, E. Shea-Brown and A. Barreiro, Information theoretic approaches to understanding circuit function. Curr Opin Neurobiol. (2012)

Slee, S., M. Higgs, A. Fairhall and W. Spain, Tonotopic tuning in a sound localization circuit., J. Neurophysiol. 103(5):2857-75 (2010)

Lundstrom, B., A.L. Fairhall and M. Maravall, Multiple timescale encoding of slowly varying whisker stimulus envelope in cortical and thalamic neurons in vivo, J. Neurosci. 30(14):5071-7. (2010)

Fox, J., A. Fairhall and T. Daniel, Motion feature detection in a biological gyroscope. PNAS. 107(8):3840-5 (2010)

Famulare, M. and A. Fairhall, Adaptation in simple neurons: dependence of feature selectivity on stimulus statistics. Neural Computation Mar;22(3):581-98 (2009).

Lundstrom, B., M. Famulare, L.B. Sorenson,  W.J. Spain and A. Fairhall, Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons. J Comput Neurosci. Oct;27(2):277-90 (2009)

Wark, B., A. Fairhall and F. Rieke, Timescales of inference in visual adaptation. Neuron, 61(5):750-61. (2009)

Lundstrom, B., M. Higgs, W. Spain and A. Fairhall, Fractional differentiation by neocortical pyramidal neurons.  Nature Neurosci. 11:1335-1342 (2008)

S. Hong, B. Lundstrom and A. Fairhall, Intrinsic gain modulation and adaptive neural coding. PLoS Computational Biology  Jul 18;4(7) (2008)

B. Lundstrom, S. Hong, M. Higgs and A. Fairhall, Two computational regimes of a single-compartmental model separated by a planar boundary in conductance space. Neural Computation, 20(5):1239-60 (2008)

B. Wark, B. Lundstrom and A. Fairhall, Sensory adaptation. Curr. Op. Neurosci. 17(4): 423-429 (2007)

M. Farries and A. Fairhall, Reinforcement learning with modulated spike timing-dependent plasticity. J. Neurophysiol., Oct 10 (2007)

S. Hong, B. Aguera y Arcas and A. Fairhall, Single neuron computation: from dynamical system to feature detector. Neural Computation. 19(12):3133-72 (2007)

M. Maravall, R. Petersen, A. Fairhall, E. Arabzadeh and M. Diamond, Shifts in coding properties and information transmission during adaptation. PLoS Biology, 5(2):19 (2007)

B. Lundstrom and A. Fairhall, Decoding stimulus statistics from a distributional neural code. J. Neurosci., 26(35):9030-7 (2006).

A. Fairhall, C. A. Burlingame, J. Puchalla, R. Harris and M. J. Berry II, Feature selectivity in retinal ganglion cells. J. Neurophysiol., 96(5):2724-38 (2006)

J. Harris, E. Arabzadeh, A. Fairhall, C. Benito and M. Diamond, Factors affecting frequency discrimination of vibrotactile stimuli: implications for cortical encoding. PLoS ONE 1:20 (2006)

S. Slee, M. Higgs, A. Fairhall and B. Spain, Two-dimensional time coding in the auditory brainstem. J. Neurosci., 25:9978-9988 (2005)

B. Aguera y Arcas and A. L. Fairhall.  What causes a neuron to spike? Neural Comp. 15: 1715-1749 (2003)

B. Aguera y Arcas, A. L. Fairhall and W. Bialek, Computation in a single neuron: Hodgkin and Huxley revisited.  Neural Comp. 15: 1789-1807 (2003)

A. L. Fairhall, G. Lewen, W. Bialek and R. de Ruyter van Steveninck, Efficiency and ambiguity in an adaptive neural code, Nature, 412:787-792 (2001)

B. Agüera y Arcas, A.L. Fairhall and W. Bialek, What can a single neuron compute?, in Advances in Neural Information Processing Systems 13, 75-81, eds. Leen, T. K., Dietterich, T. G. & Tresp, V.,  MIT Press (2000)

A.L. Fairhall, G. Lewen, W. Bialek and R. de Ruyter van Steveninck, Multiple timescales in adaptation of a neural code, in Advances in Neural Information Processing Systems 13, 124-130, eds. Leen, T. K., Dietterich, T. G. & Tresp, V.,  MIT Press (2000)

A.L. Fairhall, V.S. L’vov, and I. Procaccia. Dissipative Scaling Functions in Navier-Stokes Turbulence: Experimental Tests, Europhys. Lett. 43 (3) 277-283 (1998)

A.L. Fairhall, B. Galanti, V.S. L’vov, and I. Procaccia. Direct Numerical Simulation of the Kraichnan model: Scaling Exponents and Fusion Rules, Phys. Rev. Lett. 79, 4166, (1997).

A.L. Fairhall, B. Dhruva, V.S. Lvov, I. Procaccia and K.S. Sreenivasan. Fusion Rules in Navier-Stokes Turbulence: First Experimental Tests, Phys. Rev. Lett. 79, 3174 (1997).

O. Gat, A.L. Fairhall, V.S. L’vov and I. Procaccia. Anomalous scaling in a Model of Passive Scalar Advection: Exact Results. Phys. Rev. E, 53 3518 (1996).

V.S. L’vov, I. Procaccia and A.L. Fairhall.  Anomalous scaling in fluid mechanics: The case of the passive scalar. Phys. Rev. E,  50 4684 (1994)

D. Blair, F. van Kann and A. L. Fairhall,  Behaviour of a vibration isolator suitable for use in cryogenic or vacuum environments. Measurement science & technology. 2(9), 846. (1991)

Book chapters and invited reports: