Peter Latham: Publications

Publications



Neuroscience publications
Scholarpedia article: Mutual Information
News and Views
Refereed conference proceedings
Book chapters
Physics publications

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Neuroscience publications
  1. Confidence matching in group decision-making.
    Dan Bang, Laurence Aitchison, Rani Moran, Santiago Herce Castanon, Banafsheh Rafiee, Ali Mahmoodi, Jennifer Y.F. Lau, Peter E. Latham, Bahador Bahrami and Christopher Summerfield
    Nature Human Behaviour 1(0117) 1-7 (2017). PDF

  2. Robust information propagation through noisy neural circuits.
    Joel Zylberberg, Alexandre Pouget, Peter E. Latham and Eric Shea-Brown
    PLoS Computational Biology 13:e1005497 (2017). PDF

  3. Cracking the neural code for sensory perception by combining statistics, intervention, and behavior.
    Stefano Panzeri, Christopher D. Harvey, Eugenio Piasini, Peter E. Latham and Tommaso Fellin
    Neuron 93:491-507 (2017). PDF

  4. A probabilistic approach to demixing odors.
    Agnieszka Grabska-Barwinska, Simon Barthelme, Jeff Beck, Zachary F Mainen, Alexandre Pouget and Peter E. Latham
    Nature Neurosci. 20:98-106 (2017). PDF
    matlab code (zip file)

  5. Zipf's law arises naturally when there are underlying, unobserved variables.
    Laurence Aitchison, Nicola Corradi and Peter E. Latham
    PLoS Computational Biology 12:e1005110 (2016). PDF

  6. Post-decisional accounts of biases in confidence.
    Joaquin Navajas, Bahador Bahrami and Peter E. Latham
    Current Opinion in Behavioral Sciences 11:55-60 (2016). PDF

  7. Doubly Bayesian Analysis of Confidence in Perceptual Decision-Making.
    Laurence Aitchison, Dan Bang, Bahador Bahrami and Peter E. Latham
    PLoS Computational Biology 11:e1004519 (2015). PDF
    Supplementary information (PDF)

  8. Information-limiting correlations.
    Ruben Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter E. Latham and Alexandre Pouget
    Nature Neurosci. 17:1410-1417 (2014). PDF
    Supplementary information (PDF)

  9. How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes?
    Agnieszka Grabska-Barwinska and Peter E. Latham,
    Journal of Computational Neuroscience. 36:469-481 (2014). PDF

  10. Does interaction matter? Testing whether a confidence heuristic can replace interaction in collective decision-making.
    Dan Bang, Riccardo Fusaroli, Kristian Tylen, Karsten Olsen, Peter E. Latham, Jennifer Lau, Andreas Roepstorff, Geraint Rees, Chris Frith and Bahador Bahrami,
    Conscioussness and Cognition. 16:13-23 (2014). PDF

  11. The Perception of Probability.
    C.R. Gallistel, Monika Krishan, Ye Liu, Reilly Miller, and P.E. Latham,
    Psych. Review 121:96-123 (2014). PDF

  12. Probabilistic brains: knowns and unknowns.
    Alexandre Pouget, Jeffrey M. Beck, Wei Ji Ma, and Peter E. Latham,
    Nature Neurosci. 16:1170-1178 (2013). PDF

  13. Estimation bias in maximum entropy models.
    Jakob H. Macke, Iain Murray, and Peter E. Latham,
    Entropy 15:3109-3219 (2013). PDF

  14. Randomly connected networks have short temporal memory.
    Edward Wallace, Hamid Reza Maei, and Peter E. Latham,
    Neural Comput. 25:1408-1439 (2013). PDF

  15. Not noisy, just wrong: the role of suboptimal inference in behavioral variability.
    Jeffrey M. Beck, Wei Ji Ma, Xaq Pitkow, Peter E. Latham, and Alexandre Pouget,
    Neuron 74:30-39 (2012). PDF

  16. Marginalization in neural circuits with divisive normalization.
    Jeffrey M. Beck, Peter E. Latham, and Alexandre Pouget,
    J. Neurosci. 31:15310-15319 (2011). PDF
    Supplementary information (PDF)

  17. Optimally interacting minds.
    Bahador Bahrami, Karsten Olsen, Peter E. Latham, Andreas Roepstorff, Geraint Rees, and Chris D. Frith,
    Science 329:1081-1085 (2010). PDF
    Supplementary information (PDF)
    Perspective (PDF)

  18. Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex.
    Michael London, Arnd Roth, Lisa Beeren, Michael Hausser and Peter E. Latham,
    Nature 466:123-127 (2010). PDF
    Supplementary information (PDF)

  19. Pairwise maximum entropy models for studying large biological systems: when they can and when they can't work.
    Y. Roudi, S. Nirenberg and Peter E. Latham,
    PLoS Computational Biology 5:e1000380 (2009). PDF

  20. Ruling out and ruling in neural codes.
    A.L. Jacobs, G. Fridman, R.M. Douglas, N.M. Alam, Peter E. Latham, G.T. Prusky and S. Nirenberg,
    PNAS 106:5936-5941 (2009). PDF
    Supplementary Information PDF

  21. Probabilistic population codes for Bayesian decision making.
    J.M. Beck, W-J. Ma, R. Kiani, T. Hanks, A.K. Churchland, J. Roitman, M.N. Shadlen, Peter E. Latham and A. Pouget,
    Neuron 60:1142-1152 (2008). PDF
    Supplementary Information PDF
    Preview by Emilio Salinas PDF

  22. Nonverbal arithmetic in humans: Light from noise.
    S. Cordes, C.R. Gallistel, R. Gelman and Peter E. Latham.
    Perception & Psychophysics 69:1185-1203 (2007). PDF

  23. A balanced memory network.
    Y. Roudi and Peter E. Latham.
    PLoS Computational Biology 3:1679-1700 (2007). PDF

  24. Probabilistic population codes and the exponential family of distributions.
    J. Beck, W.J. Ma, Peter E. Latham and A. Pouget.
    Prog Brain Res. 165:509-519 (2007). PDF

  25. Bayesian inference with probabilistic population codes.
    W.J. Ma, J.M. Beck, Peter E. Latham and A. Pouget.
    Nature Neurosci. 9:1432-1438 (2006). PDF
    Supplementary information PDF

  26. Neural correlations, population coding and computation.
    B. Averbeck, Peter E. Latham and A. Pouget.
    Nature Reviews Neurosci. 7:358-366 (2006). PDF

  27. Synergy, redundancy, and independence in population codes, revisited.
    Peter E. Latham and S. Nirenberg.
    J. Neurosci. 25:5195-5206 (2005). PDF

  28. Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations.
    P. Series, Peter E. Latham and A. Pouget.
    Nature Neurosci. 7:1129-1135 (2004). PDF
    Supplementary information PDF

  29. Computing and stability in cortical networks.
    Peter E. Latham and S. Nirenberg.
    Neural Comput. 16:1385-1412 (2004). PDF

  30. Optimal computation with attractor networks.
    Peter E. Latham, S. Deneve, and A. Pouget.
    J. Physiol. (Paris) 97:683-694 (2003). PDF

  31. Firing rate of the noisy quadratic integrate-and-fire neuron.
    N. Brunel and Peter E. Latham.
    Neural Comput. 15:2281-2306 (2003). PDF

  32. Decoding neuronal spike trains: how important are correlations?
    S. Nirenberg and Peter E. Latham.
    PNAS 100:7348-7353 (2003). PDF
    Supporting Information: PDF

  33. Analysis of spontaneous bursting activity in random neural networks
    J. Tabak and Peter E. Latham.
    Neuroreport 14:1445-1449 (2003). PDF

  34. A test of Gibbon's feedforward model of matching.
    C.R. Gallistel, T.A. Mark, A.P. King, and Peter E. Latham.
    Learning and Motivation 33:46-62 (2002). PDF

  35. Retinal ganglion cells act largely as independent encoders.
    S. Nirenberg, S.M. Carcieri, A.L. Jacobs, and Peter E. Latham.
    Nature 411:698-701 (2001). PDF
    Supplementary information: PDF Postscript
    Further discussion

  36. Efficient computation and cue integration with noisy population codes.
    S. Deneve, Peter E. Latham, and A. Pouget.
    Nature Neurosci. 4(8):826-831 (2001). PDF
    Supplementary information PDF

  37. The rat approximates an ideal detector of changes in rates of reward: implications for the law of effect.
    C.R. Gallistel, T.A. Mark, A.P. King, and Peter E. Latham.
    Journal of Experimental Psychology: Animal Behavior Processes 27(4):354-372 (2001). (PDF)

  38. Intrinsic dynamics in neuronal networks. I. Theory.
    Peter E. Latham, B.J. Richmond, P.G. Nelson, and S. Nirenberg.
    J. Neurophysiol. 83(2):808-827 (2000). PDF

  39. Intrinsic dynamics in neuronal networks. II. Experiment.
    Peter E. Latham, B.J. Richmond, S. Nirenberg, and P.G. Nelson.
    J. Neurophysiol. 83(2):828-835 (2000). PDF

  40. Reading population codes: a neural implementation of ideal observers.
    S. Deneve, Peter E. Latham, and A. Pouget.
    Nature Neurosci. 2(8):740-745 (1999). PDF
    Supplementary information: HTML PDF Postscript

  41. Narrow versus wide tuning curves: what's best for a population code?
    A. Pouget, S. Deneve, J.C. Ducom, and Peter E. Latham.
    Neural Comput. 11:85-90 (1999). PDF

  42. Population coding in the retina.
    S. Nirenberg and Peter E. Latham.
    Curr. Opin. Neurobiol. 8(4):488-493 (1998). PDF

  43. Coding strategies in monkey V1 and inferior temporal cortices.
    E.D. Gershon, M.C. Weiner, Peter E. Latham, and B.J. Richmond.
    J. Neurophysiol. 79(3):1135-1144 (1998). PDF

  44. Statistically efficient estimation using population coding.
    A. Pouget, K. Zhang, S. Deneve, and Peter E. Latham.
    Neural Comput. 10:373-401 (1998). PDF Postscript

News and Views
  1. Correlations demystified.
    Peter E. Latham
    Nature Neurosci. 20:6-8 (2017). PDF

  2. Feedforward to the past: the relation between neuronal connectivity, amplification, and short-term memory.
    S. Ganguli and Peter E. Latham
    Neuron 61:499 - 501 (2009). PDF

  3. Phase coding: spikes get a boost from local fields.
    Peter E. Latham and M. Lengyel
    Current Biology 18:R349-R351 (2008). PDF

  4. Touche: the feeling of choice.
    Peter E. Latham and P. Dayan.
    Nature Neurosci. 8:408-409 (2005). PDF

  5. Digitized neural networks: long-term stability from forgetful neurons.
    A. Pouget and Peter E. Latham.
    Nature Neurosci. 5:709-710 (2002). PDF

Refereed conference proceedings
  1. Demixing odors -- fast inference in olfaction.
    Agnieszka Grabska-Barwinska, Jeff Beck, Alexandre Pouget and Peter E. Latham.
    Advances in Neural Information Processing Systems. 24. MIT Press, Cambridge MA. 2014. PDF Appendix

  2. How biased are maximum entropy models?
    Jakob H. Macke, Iain Murray and Peter E. Latham
    Advances in Neural Information Processing Systems. 24. MIT Press, Cambridge MA. 2012. PDF Appendix

  3. Neural characterization in partially observed populations of spiking neurons.
    J.W. Pillow and Peter E. Latham
    Advances in Neural Information Processing Systems. 20. MIT Press, Cambridge MA. 2008. PDF

  4. Associative memory in realistic neuronal networks.
    Peter E. Latham.
    Advances in Neural Information Processing Systems. 14. MIT Press, Cambridge MA. 2002. PDF

  5. Heeger's normalization, line attractor networks, and ideal observers.
    S. Deneve, A. Pouget, and Peter E. Latham.
    Advances in Neural Information Processing Systems. 11. MIT Press, Cambridge MA. 1999. PDF

Book chapters
  1. Role of correlations in population coding.
    Peter E. Latham and Yasser Roudi
    In: Principles of Neural Coding.
    Edited by Stefano Panzeri and Rodrigo Quian Quiroga.
    CRC Press, Boca Raton, Florida (2013)
    preprint (PDF) arXive

  2. Computing with population codes.
    Peter E. Latham and A. Pouget.
    In: Bayesian Brain.
    Edited by Kenji Doya, Shin Ishii, Alexandre Pouget and Rajesh P.N. Rao.
    MIT press, Cambridge, MA. Pgs. 131-144. (2006).
    preprint (PDF)

  3. Decoding population codes.
    A. Pouget and Peter E. Latham.
    In: Handbook of brain theory and neural networks.
    Edited by Michael A. Arbib.
    MIT press, Cambridge, MA. (2003).
    preprint (PDF)

  4. The relevance of Fisher Information for theories of cortical computation and attention.
    A. Pouget, S. Deneve and Peter E. Latham.
    In: Visual attention and cortical circuits.
    Edited by Jochen Braun, Christof Koch, and Joel L. Davis.
    MIT press, Cambridge, MA. Pgs. 265-283 (2001).

Society for Neuroscience posters
  1. Multisensory Interactions: Principles, Connections, Response Properties
    D.G.T. Barrett and Peter E. Latham
    Soc. Neurosc. Abstr. 36:370.13 (2010).

  2. Decision making: perception, cognition, neural corrrelates
    M. Ahmadi and Peter E. Latham
    Soc. Neurosc. Abstr. 36:503.12 (2010).

  3. Marginalization using linear probabilistic population codes: An auditory localization example.
    J.M. Beck, P. Latham, A. Pouget.
    Soc. Neurosc. Abstr. 35:351.4 (2009).

  4. The interaction between a single cortical neuron and its local network in vivo.
    L. Beeren, M. London, P. Latham, M. Hausser.
    Soc. Neurosc. Abstr. 35:656.6 (2009).

  5. Inferences about how the brain works based on in-vivo data must take into account the rich dynamical repertoire of balanced networks.
    A. Lerchner and Peter E. Latham.
    Soc. Neurosc. Abstr. 35:823.1 (2009).

  6. Pairwise maximum entropy models: can they help us understand large neuronal populations?
    Y. Roudi, S. Nirenberg and Peter E. Latham.
    Soc. Neurosc. Abstr. 34:498.1 (2008).

  7. The difficulty of interpreting cross-correlations in cortex - Apparent ly precise timing in random networks.
    A. Lerchner and Peter E. Latham.
    Soc. Neurosc. Abstr. 34:437.2 (2008).

  8. The interaction between a single cortical neuron and its local network in vivo.
    M. London, L. Berren, A. Roth, Peter E. Latham and M. Hausser.
    Soc. Neurosc. Abstr. 34:437.4 (2008).

  9. Strategies for finding neural codes.
    A. Jacobs, N. Alam, Peter E. Latham, G. Prusky and S.A. Nirenberg.
    Soc. Neurosc. Abstr. 34:568.2 (2008).

  10. Deciding when to decide.
    Peter E. Latham, Y. Roudi, M. Ahmadi and A. Pouget.
    Soc. Neurosc. Abstr. 33:740.10 (2007).

  11. Requiem for the spike?
    Peter E. Latham, A. Roth, M. Hausser, M. London.
    Soc. Neurosc. Abstr. 32:432.12 (2006).

  12. Ruling out and ruling in neural codes.
    S.A .Nirenberg, A.L. Jacobs, G. Fridman, Peter E. Latham, N. Alam, R.M. Douglas and G.T. Prusky.
    Soc. Neurosc. Abstr. 31:855.4 (2005).

  13. Population codes: decoding the "noise".
    Peter E. Latham, A. Pouget and P. Series.
    Soc. Neurosc. Abstr. 31:856.7 (2005).

  14. How can realistic networks process time-varying signals? PDF Powerpoint
    H.R. Maei and Peter E. Latham.
    Soc. Neurosc. Abstr. 30:81.9 (2004).

  15. Synergy, redundancy and independence in population codes, revisited. PDF Powerpoint
    Peter E. Latham and S. Nirenberg.
    Soc. Neurosc. Abstr. 30:648.4 (2004).

  16. Cortical variability and statistical inferences.
    A. Pouget and Peter E. Latham.
    Soc. Neurosc. Abstr. 30:984.14 (2004).

  17. Orientation encoding in V1 hypercolumn models and the efficiency of the thalamo-cortical transformation.
    P. Series, Peter E. Latham and A. Pouget.
    Soc. Neurosc. Abstr. 30:984.15 (2004).

  18. Statistical efficiency of orientation selectivity models.
    P. Series, Peter E. Latham and A. Pouget.
    Soc. Neurosc. Abstr. 29:484.14 (2003).

  19. Computation and memory in recurrent networks. PDF Postscript
    Peter E. Latham.
    Soc. Neurosc. Abstr. 28:152.17 (2002).

  20. Yet another method for calculating information from neural data. PDF Postscript
    Peter E. Latham, S.M. Carcieri, A.L. Jacobs and S. Nirenberg.
    Soc. Neurosc. Abstr. 26:52.7 (2000).

  21. To what extent do ganglion cells in the mouse retina fall into discrete classes?
    S.M. Carcieri, A.L. Jacobs, Peter E. Latham and S. Nirenberg.
    Soc. Neurosc. Abstr. 26:52.6 (2000).

  22. The distribution of ganglion cells in mouse retina.
    A.L. Jacobs, S.M. Carcieri, Peter E. Latham and S. Nirenberg.
    Soc. Neurosc. Abstr. 26:52.5 (2000).

  23. Attractor networks in systems with underlying random connectivity. PDF Postscript
    Peter E. Latham and S. Nirenberg.
    Soc. Neurosc. Abstr. 25:898.14 (1999).

  24. Direction- and speed-sensitive responses in the mouse retina.
    S.M. Carcieri, J.R. Sinclair, Peter E. Latham, and S. Nirenberg.
    Soc. Neurosc. Abstr. 24:57.5 (1998).

  25. Heeger's normalization and ideal observers.
    S. Deneve, Peter E. Latham, and A. Pouget.
    Soc. Neurosc. Abstr. 24:59.12 (1998).

  26. Intrinsic dynamics in cultured neuronal networks.
    Peter E. Latham, M.J. O'Donovan, B.J. Richmond, V. Dunlap, and P.G. Nelson.
    Soc. Neurosc. Abstr. 23:86.3 (1997).

  27. Evidence for deterministic dynamics in lamprey spinal cord.
    S. Lesher, Peter E. Latham, and A.H. Cohen.
    Soc. Neurosc. Abstr. 23:86.4 (1997).

  28. Experiment and theory of the role of spontaneous transmitter release in cultured neural networks.
    Peter E. Latham, B.J. Richmond, and P.G. Nelson.
    Soc. Neurosc. Abstr. 22:59.18 (1996).

  29. Stimulus-elicited neuronal responses in striate and inferior temporal cortices are well-described by a gaussian distribution.
    E.D. Gershon, Peter E. Latham, G.X. Gin, and B.J. Richmond.
    Soc. Neurosc. Abstr. 22:633.6 (1996).

  30. How much information is carried by correlated neurons?
    Peter E. Latham, G.X. Gin, T.J. Gawne, and B.J. Richmond.
    Soc. Neurosc. Abstr. 21:649.3 (1995).


Physics publications
  1. Experimental demonstration of a W-band gyroklystron amplifier.
    M. Blank, B.G. Danly, B. Levush, Peter E. Latham, and D. Pershing.
    Phys. Rev. Lett. 79(22):4485-4488 (1997).

  2. Theory of relativistic gyro-traveling wave devices.
    Peter E. Latham and G.S. Nusinovich.
    Physics of Plasmas 2(9):3494-3510 (1995).

  3. Stability analysis of relativistic gyro-traveling wave devices.
    Peter E. Latham and G.S. Nusinovich.
    Physics of Plasmas 2(9):3511-3523 (1995).

  4. Theory of relativistic cyclotron masers.
    G.S. Nusinovich, Peter E. Latham, and O. Dumbrajs.
    Phys. Rev. E. 52(1):998-1012 (1995).

  5. High power operation of first and second harmonic gyrotwystrons.
    W. Lawson, Peter E. Latham, J.P. Calame, J. Cheng, B. Hogan, G.S. Nusinovich, V. Irwin, V.L. Granatstein, and M. Reiser.
    J. Appl. Phys. 78(1):550-559 (1995).

  6. Phase-locking of a 2nd-harmonic gyrotron oscillator using a quasi-optical circulator to separate injection and output signals.
    H.Z. Guo, D.J. Hoppe, J. Rodgers, R.M. Perez, J.P. Tate, B.L Conroy, V.L. Granatstein, A.M. Bhanji, Peter E. Latham, G.S. Nusinovich, M.L. Naiman, and S.H. Chen.
    IEEE Tran. Plasma Sci. 23(5):822-832 (1995).

  7. High power operation of an X-band gyrotwistron.
    Peter E. Latham, W. Lawson, V. Irwin, B. Hogan, G. S. Nusinovich, H.W. Matthews, and M.K.E. Flaherty.
    Phys. Rev. Lett. 72(23):3730-3733 (1994).

  8. Measurements of velocity ratio in a 90 MW gyroklystron electron beam.
    J.P. Calame, J. Cheng, B. Hogan, W. Lawson, C.D. Striffler, Peter E. Latham, and V. Irwin.
    IEEE Trans. Plasma Sci. 22(4):476-485 (1994).

  9. Efficiency of frequency up-shifted gyrodevices: cyclotron harmonics versus CARM's.
    G.S. Nusinovich, Peter E. Latham, and H. Li.
    IEEE Trans. Plasma Sci. 22(5):796-803 (1994).

  10. The design of a 100 MW, Ku band second harmonic gyroklystron experiment.
    Peter E. Latham, W. Lawson, and V. Irwin.
    IEEE Trans. Plasma Sci. 22(5):804-817 (1994).

  11. Theory of phase-locked gyrotrons operating at cyclotron harmonics.
    Peter E. Latham, B. Levush, G.S. Nusinovich, and S. Parikh.
    IEEE Trans. Plasma Sci. 22(5):818-824 (1994).

  12. Experimental studies of stability and amplification in a two-cavity second harmonic gyroklystron.
    H.W. Matthews, W. Lawson, J.P. Calame, M.K.E. Flaherty, B. Hogan, J. Cheng, and Peter E. Latham.
    IEEE Trans. Plasma Sci. 22(5):825-833 (1994).

  13. Amplification studies of a two-cavity second harmonic gyroklystron with a mixed-mode output cavity.
    J.P. Calame, J. Cheng, Peter E. Latham, W. Lawson, B. Hogan, H.W. Matthews, M.K.E. Flaherty, and C.D. Striffler.
    J. Appl. Phys. 75(9):4721-4730 (1994).

  14. High-power operation of a K-band second harmonic gyroklystron.
    W. Lawson, H.W. Matthews, M.K.E. Lee, J.P. Calame, B. Hogan, J. Cheng, Peter E. Latham, V.L. Granatstein, and M. Reiser,
    Phys. Rev. Lett. 71(3):456-459 (1993).

  15. Phase locking and bandwidth in a gyrotron oscillator.
    Peter E. Latham, V.L. Granatstein, and Y. Carmel.
    Int. J. Infrared Millimeter Waves 14(6):1217-1227 (1993).

  16. Use of Lie transforms to generalize Madey's theorem for computing the gain in microwave devices.
    Peter E. Latham, S.M. Miller, and C.D. Striffler.
    Phys. Rev. A 45(2):1197-1206 (1992).

  17. Transverse mode interference in systems with discrete energy levels: applications to waveguide filters.
    Peter E. Latham, J.M. Finn, and J.H. Booske.
    Int. J. Electronics 72(2):273-304 (1992).

  18. The scattering matrix formulation for overmoded coaxial cavities.
    W. Lawson and Peter E. Latham.
    IEEE Trans. Microwave Theory Tech. 40(10):1973-1977 (1992).

  19. High-power X-band amplification from an overmoded three-cavity gyroklyston with a tunable penultimate cavity.
    S.G. Tantawi, W.T. Main, Peter E. Latham, G.S. Nusinovich, W. G. Lawson, C.D. Striffler, and V.L. Granatstein.
    IEEE Trans Plasma Sci. 20(3):205-215 (1992).

  20. Efficient operation of a high-power X-band gyroklystron.
    W. Lawson, J.P. Calame, B. Hogan, Peter E. Latham, M.E. Read, V.L. Granatstein, M. Reiser, and C.D. Striffler.
    Phys. Rev. Lett. 67(4):520-523 (1991).

  21. Harmonic operation of a free-electron laser.
    Peter E. Latham, B. Levush, T.M. Antonsen, Jr., and N. Metzler.
    Phys. Rev. Lett. 66(11):1442-1445 (1991).

  22. Phase stability of gyroklystron amplifier.
    G.S. Park, V.L. Granatstein, Peter E. Latham, C.M. Armstrong, A.K. Ganguly, and S.Y. Park.
    IEEE Trans. Plasma Sci. 19(4):632-640 (1991).

  23. Experimental studies of stability and amplification in four overmoded, two-cavity gyroklystrons operating at 9.87 GHz.
    J.P. Calame, W. Lawson, V.L. Granatstein, Peter E. Latham, B. Hogan, C.D. Striffler, M.E. Read, M. Reiser, and W. Main.
    J. Appl. Phys. 70(4):2423-2434 (1991).

  24. A high-average-power tapered FEL amplifier at submillimeter frequencies using sheet electron beams and short-period wigglers.
    S.W. Bidwell, D.J. Radack, T.M. Antonsen, Jr., J.H. Booske, Y. Carmel, W.W. Destler, V.L. Granatstein, B. Levush, Peter E. Latham, I.D. Mayergoyz, and Z.X. Zhang.
    Nuclear Instruments and Methods in Physics Research A304:187-191 (1991).

  25. AC space-charge effects in gyroklystron amplifiers.
    Peter E. Latham.
    IEEE Trans. Plasma Sci. 18(3):273-285 (1990).

  26. Design of high-average-power, near-millimeter free electron laser oscillators using short-period wigglers and sheet electron beam.
    J.H. Booske, D.J. Radack, T.M. Antonsen, Jr., S.W. Bidwell, Y. Carmel, W.W. Destler, H.P. Freund, V.L. Granatstein, Peter E. Latham, B. Levush, I.D. Mayergoyz, and A. Serbeto.
    IEEE Trans. Plasma Sci. 18(3):399-415 (1990).

  27. The interaction of high- and low-frequency waves in a free-electron laser.
    Peter E. Latham and B. Levush.
    IEEE Trans. Plasma Sci. 18(3):472-481 (1990).

  28. High-average-power CW FELs for application to plasma heating: designs and experiments.
    J.H. Booske, V.L. Granatstein, D.J. Radack, T.M. Antonsen, Jr., S.W. Bidwell, Y. Carmel, W.W. Destler, Peter E. Latham, B. Levush, I.D. Mayergoyz, Z.X. Zhang, and H.P. Freund.
    Nuclear Instruments and Methods in Physics Research A296:791-796 (1990).

  29. Linear-analysis of a free-electron laser coupled to betatron oscillations.
    Peter E. Latham.
    Phys. Fluids B 1(10):2085-2098 (1989).

  30. The use of a single source to drive a binary peak power multiplier.
    Peter E. Latham.
    IEEE Trans. Microwave Theory Tech. 37(5):929-931 (1989).

  31. Determination of the resonant frequencies in a complex cavity using the scattering matrix formulation.
    J.M. Neilson, Peter E. Latham, M. Caplan, and W.G. Lawson.
    IEEE Trans. Microwave Theory Tech. 37(8):1165-1170 (1989).

  32. Free-electron laser with small period wiggler and sheet electron beam: a study of the feasibility of operation at 300 GHz with 1 MW CW output power.
    J.H. Booske, V.L. Granatstein, T.M. Antonsen, Jr., W.W. Destler, J. Finn, Peter E. Latham, B. Levush, I.D. Mayergoyz, D. Radack, and J. Rodgers.
    Nuclear Instruments and Methods in Physics Research A285:92-96 (1989).

  33. Linear theory of a sheet beam free electron laser.
    T.M. Antonsen, Jr., and Peter E. Latham.
    Phys. Fluids 31(11):3379-3386 (1988).

  34. Penultimate cavity tuning of the gyroklystron amplifier.
    K.R. Chu, Peter E. Latham, and V.L. Granatstein.
    Int. J. Electronics 65(3):419-428 (1988).

  35. An FEL driven by transverse gradients in the wiggler field.
    Peter E. Latham.
    Nuclear Instruments and Methods in Physics Research A272:442-447 (1988).

  36. Near-millimeter free electron lasers with small period wigglers and sheet electron beams.
    V.L. Granatstein, T.M. Antonsen, Jr., J.H. Booske, W.W. Destler, Peter E. Latham, B. Levush, I.D. Mayergoyz, D.J. Radack, Z. Segalov, and A. Serbeto
    Nuclear Instruments and Methods in Physics Research A272:110-116 (1988).

  37. The design of a small-orbit/large-orbit gyroklystron experiment.
    W. Lawson and Peter E. Latham.
    J. Appl. Phys. 61(2):519-528 (1987).

  38. Single-particle motion in a large-orbit gyrotron.
    H. Bluem, Peter E. Latham, W. Lawson, and C.D. Striffler.
    IEEE Trans. Microwave Theory Tech. 35(11):946-955 (1987).

  39. A 30-MW gyroklystron-amplifier design for high-energy linear accelerators.
    K.R. Chu, V.L. Granatstein, Peter E. Latham, W. Lawson, and C.D. Striffler.
    IEEE Trans. Plasma Sci. 13(6):424-434 (1985).

  40. Finite resolution approximation to the asymptotic distribution for dynamical systems.
    H.D.I. Abarbanel and Peter E. Latham.
    Phys. Lett. 89A(2):55-58 (1982).

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