A5043299256- Neural dynamics and brain function
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Nuclear Physics and Applications
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Visual perception and processing mechanisms
- Generative Adversarial Networks and Image Synthesis
- Single-cell and spatial transcriptomics
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
University of California, Berkeley
2019-2022
Janelia Research Campus
2014
Howard Hughes Medical Institute
2014
The neocortex is functionally organized into layers. Layer four receives the densest bottom up sensory inputs, while layers 2/3 and 5 receive top down inputs that may convey predictive information. A subset of cortical somatostatin (SST) neurons, Martinotti cells, gate input by inhibiting apical dendrites pyramidal cells in 5, but it unknown whether an analogous inhibitory mechanism controls activity layer 4. Using high precision circuit mapping, vivo optogenetic perturbations, single cell...
Gamma band synchronization can facilitate local and long-range neural communication. In the primary visual cortex, stimulus properties within a specific location determine strength, while match of between distant locations controls synchronization. The basis for differential control global gamma is unknown. Combining electrophysiology, optogenetics, computational modeling, we found that VIP disinhibitory interneurons in mouse cortex linearly scale power locally without changing its tuning....
How cortical circuits build representations of complex objects is poorly understood. Individual neurons must integrate broadly over space, yet simultaneously obtain sharp tuning to specific global stimulus features. Groups identifying different features then assemble into a population that forms comprehensive code for these properties. Although the logic how single summate their spatial inputs has been well explored in anesthetized animals, large groups compose flexible higher-order awake...
Abstract The cortical microcircuit can dynamically adjust to dramatic changes in the strength, scale, and complexity of its input. In primary visual cortex (V1), pyramidal cells (PCs) integrate widely across space when signals are weak, but narrowly strong, a phenomenon known as contrast-dependent surround suppression. Theoretical work has proposed that local interneurons could mediate shift from cooperation competition PCs space, underlying this computation. We combined calcium imaging...
A recent paper by Gatys et al. describes a method for rendering an image in the style of another image. First, they use convolutional neural network features to build statistical model Then create new with content one but statistics Here, we extend this render movie given artistic style. The naive solution that independently renders each frame produces poor results because move substantially from next. other initializes optimization next using rendered version previous also texture stay...
Abstract The visual cortex receives non-sensory inputs containing behavioral and brain state information. Here we propose a parallel between optogenetic modulations of activity characterize their impact on cell-type-specific V1 processing under common theoretical framework. We infer circuitry from large-scale recordings demonstrate that, given strong recurrent excitation, the responses imply key aspects known connectivity. In inferred models, parvalbumin-expressing (PV), but not other,...
Abstract Gamma band synchronization can facilitate local and long-range communication in neural circuits. In the primary visual cortex (V1) strength of on level is strongly tuned to contrast, size center/surround orientation grating stimuli. On global level, gamma oscillations across retinotopic map crucially depends matched stimulus properties corresponding locations field. Although these features V1 rhythms are likely be crucial for how they might support cortico-cortical perception, their...
Abstract How cortical circuits build representations of complex objects is poorly understood. The massive dimensional expansion from the thalamus to primary sensory cortex may enable sparse, comprehensive higher order features facilitate object identification. To generate such a code, neurons must integrate broadly over space, yet simultaneously obtain sharp tuning specific stimulus features. logic integration that synthesize high code for not known. address this question, we probed and...