Compressive temporal summation
17 items
Durations sum compressively over time. Repetition suppression. Delayed divisive normalisation predicts changes due to stimulus duration, interval and contrast. Higher-level areas have longer temporal integration windows. Higher-level areas take longer to recover from adaptation. There is stronger adaptation and slower recovery when the stimulus is preferred.
Predicting neuronal dynamics with a delayed gain control model
Jingyang Zhou, N. Benson, Kendrick Norris Kay
et al.
Compressive spatial summation in human visual cortex.
Kendrick Norris Kay, J. Winawer, A. Mezer
et al.
Journal of Neurophysiology
Compressive Temporal Summation in Human Visual Cortex
Jingyang Zhou, N. Benson, Kendrick Norris Kay
et al.
Spatial and temporal receptive fields of geniculate and cortical cells and directional selectivity
R. L. Valois, N. Cottaris, L. Mahon
et al.
Normalization of cell responses in cat striate cortex
Estimating sparse spectro-temporal receptive fields with natural stimuli
S. David, N. Mesgarani, S. Shamma
et al.
Spectral-Temporal Receptive Fields of Nonlinear Auditory Neurons Obtained Using Natural Sounds
F. Theunissen, K. Sen, A. Doupe
et al.
Temporal Dynamics of Neural Responses in Human Visual Cortex
I. Groen, G. Piantoni, Stephanie Montenegro
et al.
Estimating sparse spectro-temporal receptive fields with natural stimuli
S. David, N. Mesgarani, S. Shamma
et al.
Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.
F. Theunissen, S. David, N. Singh
et al.
Spectral-Temporal Receptive Fields of Nonlinear Auditory Neurons Obtained Using Natural Sounds
F. Theunissen, K. Sen, A. Doupe
et al.
Population receptive field estimates in human visual cortex
Intersession reliability of population receptive field estimates
Jelle A. van Dijk, B. Haas, C. Moutsiana
et al.
Computational neuroimaging and population receptive fields
B. Wandell, J. Winawer
Trends in Cognitive Sciences
A Hierarchy of Temporal Receptive Windows in Human Cortex
U. Hasson, Eunice Yang, Ignacio Vallines
et al.