5 results about "Neuronal circuits" patented technology

Methods of treating one or more eating disorders including anorexia nervosa, bulimia, and related clinical syndromes in a subject in need thereof are described. In some cases, electric stimulation and / or one or more active agents are administered to a subject in need thereof to reduce or inhibit the activity of CeA PKC-δ neurons and ovBNST PKC-δ neurons in the brain of the subject. Preferably, the disclosed methods are effective to increase or excite the activity of the brain regions downstream of CeA PKC-δ neurons and ovBNST PKC-δ neurons including medial part of CeA and ventral lateral part of BNST.

The invention provides a neuron circuit. The neuron circuit comprises n input tubes, an integrating capacitor, an inverted output unit and a reset unit, the input tube is selectively gated based on an input voltage and a control voltage; the integrating capacitor accumulates charges and then releases the charges; the inverted output unit generates an output voltage; the reset unit resets the potential of the integrating capacitor. The invention further provides an activation method of the neuron circuit, and the neuron circuit is activated by controlling the integrating capacitor to accumulate charges and then discharge. The invention further provides a preparation method of the field effect transistor. The source electrode structure, the drain electrode structure and the grid electrode structure are formed on the provided substrate. The invention further provides a neural network which comprises an input layer and an output layer, and the output end of a single neuron circuit of the input layer is connected with the input ends of all or part of neuron circuits of the output layer. The signal processing system comprises an electric signal input device, a reading device and a neural network, the electric signal input device provides input data; the readout device reads the output data.

The BoC includes one or more chambers for accommodating neurons to be cultured, and one or more cell communication platforms placed between at least one pair of the one or more chambers. The cellular communication platform includes one or more features / structures configured, shaped, dimensioned and arranged to promote growth of axons of a population of neurons in a preferred direction and to impede growth of the axons in a direction opposite the preferred direction, thereby controlling at least one of directivity, transitivity, and / or lateral diffusion between the cultured population of neurons. The cellular communication platform establishes a neuron loop between the population of neurons in each pair of chambers.

The invention relates to the technical field of deep learning, and discloses a behavior monitoring and risk early warning system for obstetrical patients, which comprises a data sensing acquisition module, a data analysis processing module, a human body area modeling module, a behavior early warning module, an edge calculation module and a comprehensive judgment module. According to the system, pixel-level segmentation and key point regression are performed on patient image data by constructing a mask key point-continuous time attention fusion network, a continuous time attention mechanism inspired by a neuron loop is introduced, dynamic modeling and weight distribution are performed on continuous frame attitude features, and a continuous frame attitude fusion model is constructed. Therefore, the continuous time evolution trend of the posture change of the obstetrical patient is described. And in combination with human body area modeling and behavior early warning strategies, intelligent identification and early warning of risk behaviors such as postpartum dysphoria, abnormal turning over and falling down are realized. The accuracy and stability of behavior monitoring are improved, and the method is suitable for intelligent safety management in an obstetrical monitoring scene.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for combined dynamic causal modeling and biophysical modeling of brain function are provided. In particular, the disclosed methods of brain function modeling can be used to integrate brain function measurements by two or more methods, such as functional neuroimaging and electrophysiological techniques. The present invention uses sequential model fitting to improve modeling accuracy to generate more comprehensive brain neuronal circuit models.