Abstract: A system includes a light source to generate an optical signal having a set of pulses at a first repetition rate. The system also includes a multiplexer circuit to generate a multiplexed optical signal from the optical signal n sets of pulses at a second repetition rate, where the n sets of pulses have different polarization states and are at the first repetition rate. The system also includes a focusing unit to split the multiplexed optical signal into n excitation signals to excite a sample. The system also includes an objective to receive the n excitation signals and to illuminate the sample. The objective and the focusing unit collectively focus each excitation signal of the n excitation signals on a different focal plane of the sample to generate a response signal. The system also includes a demultiplexer circuit to generate n emission signals based on the response signal.

Abstract: Artificial expression constructs for selectively modulating gene expression in selected central nervous system cell types are described. The artificial expression constructs can be used to selectively express synthetic genes or modify gene expression in excitatory cortical neurons, such as primarily within cortical layers 2/3, 4, 5, and 6 and including those with extratelencephalic (ET) projections, intratelencephalic (IT) projections, and pyramidal tract (PT) projections, among others.

Abstract: Artificial expression constructs for selectively modulating gene expression in selected central nervous system cell types are described. The artificial expression constructs can be used to selectively express synthetic genes or modify gene expression in GABAergic interneurons.

Abstract: Systems, apparatuses, and methods for representing words or phrases, and using the representation to perform NLP and NLU tasks, where these tasks include sentiment analysis, question answering, and conference resolution. Embodiments introduce a type of deep contextualized word representation that models both complex characteristics of word use, and how these uses vary across linguistic contexts. The word vectors are learned functions of the internal states of a deep bidirectional language model (biLM), which is pre-trained on a large text corpus. These representations can be added to existing task models and significantly improve the state of the art across challenging NLP problems, including question answering, textual entailment and sentiment analysis.

Abstract: A computing device, method, system, and instructions in a non-transitory computer-readable medium for performing image analysis on 3D microscopy images to predict localization and/or labeling of various structures or objects of interest, by predicting the location in such images at which a dye or other marker associated with such structures would appear. The computing device, method, and system receives sets of 3D images that include unlabeled images, such as transmitted light images or electron microscope images, and labeled images, such as images captured with fluorescence tagging. The computing device trains a statistical model to associate structures in the labeled images with the same structures in the unlabeled light images. The processor further applies the statistical model to a new unlabeled image to generate a predictive labeled image that predicts the location of a structure of interest in the new image.

Abstract: Selectively providing voltage-gated sodium channel function sufficient to rescue impaired Nav1.1 function to inhibitory neurons is described. Provided voltage-gated sodium channel function sufficient to rescue impaired Nav1.1 function in inhibitory neurons can be used to treat disorders such as epilepsy, and more particularly, Dravet Syndrome.

Abstract: A system includes a light source to generate an optical signal having a set of pulses at a first repetition rate. The system also includes a multiplexer circuit to generate a multiplexed optical signal from the optical signal n sets of pulses at a second repetition rate, where the n sets of pulses have different polarization states and are at the first repetition rate. The system also includes a focusing unit to split the multiplexed optical signal into n excitation signals to excite a sample. The system also includes an objective to receive the n excitation signals and to illuminate the sample. The objective and the focusing unit collectively focus each excitation signal of the n excitation signals on a different focal plane of the sample to generate a response signal. The system also includes a demultiplexer circuit to generate n emission signals based on the response signal.

Abstract: A computing device, method, system, and instructions in a non-transitory computer-readable medium for performing image analysis on 3D microscopy images to predict localization and/or labeling of various structures or objects of interest, by predicting the location in such images at which a dye or other marker associated with such structures would appear. The computing device, method, and system receives sets of 3D images that include unlabeled images, such as transmitted light images or electron microscope images, and labeled images, such as images captured with fluorescence tagging. The computing device trains a statistical model to associate structures in the labeled images with the same structures in the unlabeled light images. The processor further applies the statistical model to a new unlabeled image to generate a predictive labeled image that predicts the location of a structure of interest in the new image.