How do expectations shape perception?
Perception and perceptual decision-making are strongly facilitated by prior knowledge about
the probabilistic structure of the world. While the computational benefits of using prior …
the probabilistic structure of the world. While the computational benefits of using prior …
Predictive processing: a canonical cortical computation
GB Keller, TD Mrsic-Flogel - Neuron, 2018 - cell.com
This perspective describes predictive processing as a computational framework for
understanding cortical function in the context of emerging evidence, with a focus on sensory …
understanding cortical function in the context of emerging evidence, with a focus on sensory …
[HTML][HTML] Where is the error? Hierarchical predictive coding through dendritic error computation
Top-down feedback in cortex is critical for guiding sensory processing, which has
prominently been formalized in the theory of hierarchical predictive coding (hPC). However …
prominently been formalized in the theory of hierarchical predictive coding (hPC). However …
Molecularly targetable cell types in mouse visual cortex have distinguishable prediction error responses
Predictive processing postulates the existence of prediction error neurons in cortex. Neurons
with both negative and positive prediction error response properties have been identified in …
with both negative and positive prediction error response properties have been identified in …
A new unifying account of the roles of neuronal entrainment
Rhythms are a fundamental and defining feature of neuronal activity in animals including
humans. This rhythmic brain activity interacts in complex ways with rhythms in the internal …
humans. This rhythmic brain activity interacts in complex ways with rhythms in the internal …
Three-dimensional printing of piezoelectric materials with designed anisotropy and directional response
Piezoelectric coefficients are constrained by the intrinsic crystal structure of the constituent
material. Here we describe design and manufacturing routes to previously inaccessible …
material. Here we describe design and manufacturing routes to previously inaccessible …
Random synaptic feedback weights support error backpropagation for deep learning
TP Lillicrap, D Cownden, DB Tweed… - Nature …, 2016 - nature.com
The brain processes information through multiple layers of neurons. This deep architecture
is representationally powerful, but complicates learning because it is difficult to identify the …
is representationally powerful, but complicates learning because it is difficult to identify the …
[HTML][HTML] Great expectations: is there evidence for predictive coding in auditory cortex?
M Heilbron, M Chait - Neuroscience, 2018 - Elsevier
Predictive coding is possibly one of the most influential, comprehensive, and controversial
theories of neural function. While proponents praise its explanatory potential, critics object …
theories of neural function. While proponents praise its explanatory potential, critics object …
A sensorimotor circuit in mouse cortex for visual flow predictions
M Leinweber, DR Ward, JM Sobczak, A Attinger… - Neuron, 2017 - cell.com
The cortex is organized as a hierarchical processing structure. Feedback from higher levels
of the hierarchy, known as top-down signals, have been shown to be involved in attentional …
of the hierarchy, known as top-down signals, have been shown to be involved in attentional …
A synaptic and circuit basis for corollary discharge in the auditory cortex
DM Schneider, A Nelson, R Mooney - Nature, 2014 - nature.com
Sensory regions of the brain integrate environmental cues with copies of motor-related
signals important for imminent and ongoing movements. In mammals, signals propagating …
signals important for imminent and ongoing movements. In mammals, signals propagating …