John P. Miller - researchr alias

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Viewing Publication 1 - 20 from 20

2021

Outside the Echo Chamber: Optimizing the Performative RiskJohn P. Miller, Juan C. Perdomo, Tijana Zrnic. icml 2021: 7710-7720 [doi]

Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationJohn P. Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt. icml 2021: 7721-7735 [doi]

2011

Temporal Encoding in a Nervous SystemZane N. Aldworth, Alexander G. Dimitrov, Graham I. Cummins, Tomás Gedeon, John P. Miller. ploscb, 7(5), 2011. [doi]

2005

Phased array processing for spike discriminationYikun Huang, John P. Miller. ijon, 65-66:507-516, 2005. [doi]

2004

Finding neural codes using random projectionsBrendan Mumey, Aditi Sarkar, Tomás Gedeon, Alexander Dimitrov, John P. Miller. ijon, 58-60:19-25, 2004. [doi]

2003

Derivation of Natural Stimulus Feature Set Using a Data-Driven ModelAlexander Dimitrov, Tomás Gedeon, Brendan Mumey, Ross Snider, Albert E. Parker, John P. Miller. iccS 2003: 337-345 [doi]

2002

Spike pattern-based coding schemes in the cricket cercal sensory systemAlexander Dimitrov, John P. Miller, Zane Aldworth, Albert E. Parker. ijon, 44-46:373-379, 2002. [doi]

A Control Analysis of Neuronal Information Processing: A Study of Electrophysiological Experimentation and Non-equilibrium Information TheoryPrasun K. Roy, John P. Miller, D. Dutta Majumder. afss 2002: 191-203 [doi]

2001

Analyzing Sensory Systems with the Information Distortion FunctionAlexander Dimitrov, John P. Miller. psb 2001: 251-262 [doi]

Non-uniform quantization of neural spike sequences through an information distortion measureAlexander Dimitrov, John P. Miller, Zane Aldworth, Tomás Gedeon. ijon, 38-40:175-181, 2001. [doi]

Characterization of and compensation for the nonstationarity of spike shapes during physiological recordingsPenio S. Penev, Alexander Dimitrov, John P. Miller. ijon, 38-40:1695-1701, 2001. [doi]

2000

Natural time scales for neural encodingAlexander Dimitrov, John P. Miller. ijon, 32-33:1027-1034, 2000. [doi]

Assessing the Performance of Neural Encoding Models in the Presence of NoiseJ. Cooper Roddey, B. Girish, John P. Miller. jcns, 8(2):95-112, 2000.

1995

Temporal encoding in nervous systems: A rigorous definitionFrédéric E. Theunissen, John P. Miller. jcns, 2(2):149-162, 1995. [doi]

1994

Optimal discrimination and classification of neuronal action potential waveforms from multiunit, multichannel recordings using software-based linear filtersShai N. Gozani, John P. Miller. tbe, 41(4):358-372, 1994. [doi]

EditorialJohn Rinzel, John P. Miller, James M. Bower, Charles Wilson, Eve Marder, Idan Segev. jcns, 1(1-2):9-10, 1994. [doi]

1993

NeMoSys: A Neural Modeling SystemFrank H. Eeckman, Frédéric E. Theunissen, John P. Miller. mascots 1993: 365-366

1988

Cricket Wind DetectionJohn P. Miller. nips 1989: 802-807 [doi]

A Model for Resolution Enhancement (Hyperacuity) in Sensory RepresentationJun Zhang, John P. Miller. nips 1989: 444-450 [doi]

1983

Neural mechanisms for the production of cyclic motor patternsAllen I. Selverston, John P. Miller, Martin Wadepuhl. tsmc, 13(5):749-757, 1983. [doi]

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