Kenneth W. Latimer

This study shows that experience influences initial exploration strategies in spatial learning but not final task performance in rats.

The paper shows that long-term training history shapes sensory representations in parietal cortex during decision-making tasks.

This study shows dopamine neurons in singing birds evaluate natural fluctuations in song performance without external perturbations.

This paper shows that generalized linear models can capture gain scaling and multi-timescale adaptation in neurons by incorporating spike history and fractional differentiation of stimulus variance.

This paper introduces a conductance-based encoding model to infer synaptic inputs from spike trains and shows it outperforms traditional models in predicting retinal ganglion cell responses.

The paper shows that adaptive responses in visual, somatosensory, and auditory cortices follow similar patterns across different sensory modalities.

The paper compares discrete stepping and nonlinear ramping dynamics in LIP neuron spiking responses during decision-making and finds that stepping dynamics better describe most neurons, though an extended ramping model accounts for a similar fraction.

The paper responds to criticisms of previous findings on LIP neuron dynamics by reanalyzing data with lower bounds and showing the stepping model still better explains spike trains in many cases.