Stephanie Palmer, PhD

I study how populations of neurons collectively encode information present in their inputs and how they perform computations on these signals. The brain performs several classes of computation including signal comparison, prediction, error correction, and learning. To investigate these phenomena, I work with experimentalists on a variety of systems: predictive coding in the retina and visual cortex of the rodent, motion coding in area MT, and temporal coding in the zebra finch song system. From these studies, several general principles have emerged, which guide my current research: the hypothesis that neurons are optimized to predict their future inputs, that information in neural populations is represented combinatorially, and that coding in sensori-motor systems is highly dynamic and behaviorally dependent. By working closely with experimentalists, we constrain and test these theories of neural population coding with detailed measurements.

Princetion University
Princeton, NJ
Postdoctoral - Neuroscience
2012

University of California San Francisco
San Francisco, CA
Postdoctoral - Neuroscience
2005

University of Oxford
England, UK
DPhil - Theoretical Physics
2001

Michigan State University
East Lansing, MI
BS - Chemical Physics
1997

Supervised learning through physical changes in a mechanical system.
Stern M, Arinze C, Perez L, Palmer SE, Murugan A. Supervised learning through physical changes in a mechanical system. Proc Natl Acad Sci U S A. 2020 06 30; 117(26):14843-14850.
PMID: 32546522

Nonlinear mixed selectivity supports reliable neural computation.
Johnston WJ, Palmer SE, Freedman DJ. Nonlinear mixed selectivity supports reliable neural computation. PLoS Comput Biol. 2020 02; 16(2):e1007544.
PMID: 32069273

Aristaless Controls Butterfly Wing Color Variation Used in Mimicry and Mate Choice.
Westerman EL, VanKuren NW, Massardo D, Tenger-Trolander A, Zhang W, Hill RI, Perry M, Bayala E, Barr K, Chamberlain N, Douglas TE, Buerkle N, Palmer SE, Kronforst MR. Aristaless Controls Butterfly Wing Color Variation Used in Mimicry and Mate Choice. Curr Biol. 2018 11 05; 28(21):3469-3474.e4.
PMID: 30415702

State dependence of stimulus-induced variability tuning in macaque MT.
Lombardo JA, Macellaio MV, Liu B, Palmer SE, Osborne LC. State dependence of stimulus-induced variability tuning in macaque MT. PLoS Comput Biol. 2018 10; 14(10):e1006527.
PMID: 30312315

Learning to make external sensory stimulus predictions using internal correlations in populations of neurons.
Sederberg AJ, MacLean JN, Palmer SE. Learning to make external sensory stimulus predictions using internal correlations in populations of neurons. Proc Natl Acad Sci U S A. 2018 01 30; 115(5):1105-1110.
PMID: 29348208

Tracing the origin and evolution of supergene mimicry in butterflies.
Zhang W, Westerman E, Nitzany E, Palmer S, Kronforst MR. Tracing the origin and evolution of supergene mimicry in butterflies. Nat Commun. 2017 11 07; 8(1):1269.
PMID: 29116078

Perceptual interaction of local motion signals.
Nitzany EI, Loe ME, Palmer SE, Victor JD. Perceptual interaction of local motion signals. J Vis. 2016 11 01; 16(14):22.
PMID: 27902829

Decoding thalamic afferent input using microcircuit spiking activity.
Sederberg AJ, Palmer SE, MacLean JN. Decoding thalamic afferent input using microcircuit spiking activity. J Neurophysiol. 2015 Apr 01; 113(7):2921-33.
PMID: 25695647