activity
20082023
most citedSupervised learning in a mechanical system

68 citations · 166 across the 15 of their papers we have counts for

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Showing q-bio.NCShow all

8 papers · 1 filter

q-bio.NC2023★ 1 cited

Representational drift changes the encoding of fast and slow-varying natural scene features differently

Siwei Wang, Elizabeth A de Laittre, Jason MacLean +1

Representational drift refers to an unstable mapping between neural activity and input sensory or output behavioral variables. While much work has focused on the effect of represen…

q-bio.NC2017★ 12 cited

State Dependence of Stimulus-Induced Variability Tuning in Macaque MT

Joseph A. Lombardo, Matthew V. Macellaio, Bing Liu +2

Behavioral states marked by varying levels of arousal and attention modulate some properties of cortical responses (e.g. average firing rates or pairwise correlations), yet it is n…

q-bio.NC2017★ 36 cited

Learning to make external sensory stimulus predictions using internal correlations in populations of neurons

Audrey J. Sederberg, Jason N. MacLean, Stephanie E. Palmer

To compensate for sensory processing delays, the visual system must make predictions to ensure timely and appropriate behaviors. Recent work has found predictive information about…

q-bio.NC2015★ 1 cited

Optimal prediction and natural scene statistics in the retina

Jared Salisbury, Stephanie E. Palmer

Almost all neural computations involve making predictions. Whether an organism is trying to catch prey, avoid predators, or simply move through a complex environment, the data it c…

q-bio.NC2014★ 6 cited

Temporal sequences of spikes during practice code for time in a complex motor sequence

Stephanie E. Palmer, Mimi H. Kao, Brian D. Wright +1

Practice of a complex motor gesture involves exploration of motor space to attain a better match to target output, but little is known about the neural code for such exploration. H…

q-bio.NC2013★ 21 cited

Transformation of stimulus correlations by the retina

K. D. Simmons, J. S. Prentice, G. Tkacik +5

Redundancies and correlations in the responses of sensory neurons seem to waste neural resources but can carry cues about structured stimuli and may help the brain to correct for r…