AIMC Topic: Visual Cortex
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Autonomous patch-clamp robot for functional characterization of neurons in vivo: development and application to mouse visual cortex.
Journal of neurophysiology
Apr 10, 2019
Patch clamping is the gold standard measurement technique for cell-type characterization in vivo, but it has low throughput, is difficult to scale, and requires highly skilled operation. We developed an autonomous robot that can acquire multiple cons...
Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network.
Scientific reports
Mar 7, 2019
A comprehensive understanding of the stimulus-response properties of individual neurons is necessary to crack the neural code of sensory cortices. However, a barrier to achieving this goal is the difficulty of analysing the nonlinearity of neuronal r...
Cumulative inhibition in neural networks.
Cognitive processing
Nov 3, 2018
We show how a multi-resolution network can model the development of acuity and coarse-to-fine processing in the mammalian visual cortex. The network adapts to input statistics in an unsupervised manner, and learns a coarse-to-fine representation by u...
Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials.
Journal of neural engineering
Oct 3, 2018
OBJECTIVE: Steady-state visual evoked potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs are robust signals measurable in the electroencephalogram (E...
Emergence of Binocular Disparity Selectivity through Hebbian Learning.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Sep 21, 2018
Neural selectivity in the early visual cortex strongly reflects the statistics of our environment (Barlow, 2001; Geisler, 2008). Although this has been described extensively in literature through various encoding hypotheses (Barlow and Földiák, 1989;...
Creatures great and small: Real-world size of animals predicts visual cortex representations beyond taxonomic category.
NeuroImage
Aug 29, 2018
Human occipitotemporal cortex contains neural representations for a variety of perceptual and conceptual features. We report a study examining neural representations of real-world size along the visual ventral stream, while carefully accounting for t...
Face Space Representations in Deep Convolutional Neural Networks.
Trends in cognitive sciences
Aug 7, 2018
Inspired by the primate visual system, deep convolutional neural networks (DCNNs) have made impressive progress on the complex problem of recognizing faces across variations of viewpoint, illumination, expression, and appearance. This generalized fac...
A Neuronal Network Model of the Primate Visual System: Color Mechanisms in the Retina, LGN and V1.
International journal of neural systems
Jul 30, 2018
Color plays a key role in human vision but the neural machinery that underlies the transformation from stimulus to perception is not well understood. Here, we implemented a two-dimensional network model of the first stages in the primate parvocellula...
Organization of Neural Population Code in Mouse Visual System.
eNeuro
Jul 17, 2018
The mammalian visual system consists of several anatomically distinct areas, layers, and cell types. To understand the role of these subpopulations in visual information processing, we analyzed neural signals recorded from excitatory neurons from var...
A Visual Cortex-Inspired Imaging-Sensor Architecture and Its Application in Real-Time Processing.
Sensors (Basel, Switzerland)
Jul 2, 2018
For robots equipped with an advanced computer vision-based system, object recognition has stringent real-time requirements. When the environment becomes complicated and keeps changing, existing works (e.g., template-matching strategy and machine-lear...
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