Barrel cortex function

TL;DR: In this paper, the authors propose a network model composed of columns and layers that performs robust object learning and recognition, where each column integrates its changing input over time to learn complete predictive models of observed objects.

TL;DR: Results from multiple sensory modalities imply that input-specific supra-linear summation may represent a widespread cortical mechanism for the synthesis of higher order feature codes, and may explain how the brain exploits the thalamocortical expansion of dimensionality to encode arbitrary complex features of sensory stimuli.

TL;DR: CNQX and dAPV exert inhibitory actions on cortical activity during epipial application at much higher concentrations than in vitro, and the pharmacodynamics of their inhibitory effects is characterized by the surface-to-depth gradients in the rate of development and the level of inhibition of sensory-evoked and spontaneous cortical activity.

TL;DR: A readout network with both feed-forward and local recurrent inhibition permits detection with a very small bias, if compared to the readout scheme introduced previously, and is robust if recurrent excitatory connections are included or if a different kind of readout bias is used.

TL;DR: A summary of the layout of cortical areas associated with vision and with other modalities, a computerized database for storing and representing large amounts of information on connectivity patterns, and the application of these data to the analysis of hierarchical organization of the cerebral cortex are reported on.

TL;DR: Fundamental concepts of nonlinear microscopy are reviewed and conditions relevant for achieving large imaging depths in intact tissue are discussed.

TL;DR: This review focuses on the organizing principles that govern the diversity of inhibitory interneurons and their circuits.

TL;DR: The timing of a sensory input relative to a gamma cycle determined the amplitude and precision of evoked responses and provided the first causal evidence that distinct network activity states can be induced in vivo by cell-type-specific activation.