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3 results about "Lateral inhibition" patented technology
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In neurobiology, lateral inhibition is the capacity of an excited neuron to reduce the activity of its neighbors. Lateral inhibition disables the spreading of action potentials from excited neurons to neighboring neurons in the lateral direction. This creates a contrast in stimulation that allows increased sensory perception. It is also referred to as lateral antagonism and occurs primarily in visual processes, but also in tactile, auditory, and even olfactory processing. Cells that utilize lateral inhibition appear primarily in the cerebral cortex and thalamus and make up lateral inhibitory networks (LINs). Artificial lateral inhibition has been incorporated into artificial sensory systems, such as vision chips, hearing systems, and optical mice. An often under-appreciated point is that although lateral inhibition is visualised in a spatial sense, it is also thought to exist in what is known as "lateral inhibition across abstract dimensions." This refers to lateral inhibition between neurons that are not adjacent in a spatial sense, but in terms of modality of stimulus. This phenomenon is thought to aid in colour discrimination.
Molecular property prediction method based on spectral position encoding and biomimetic lateral inhibition gating
The application discloses a molecular property prediction method based on spectral position coding and bionic side inhibition gating, and relates to the field of olfactory perception. The method comprises the following steps: constructing a molecular structured input comprising atomic types, a Coulomb matrix and graph Laplacian eigenvector; fusing atomic chemical attributes and spectral domain topological positions through a feature extraction module to generate initial atomic features; using a multi-scale aggregation module, hierarchical neighborhood aggregation is carried out based on preset scale constraints to extract multi-level structure features covering chemical bonds, functional groups and molecular skeletons; with the help of a global interaction module of bionic side inhibition gating, local features are dynamically modulated by a global query signal to realize adaptive denoising and semantic sharpening; finally, through mask pooling and a decoupled multi-label prediction head, the scores of each odor attribute of the molecule are output. The application significantly improves the accuracy, structure perception ability and cross-task generalization performance of molecular property prediction.
Owner:CHONGQING UNIV
On-orbit intelligent processing method for space-borne image based on brain-like computing
This invention discloses an on-orbit intelligent processing method for spaceborne images based on brain-like computing, belonging to the field of on-orbit intelligent processing of spaceborne images. This invention utilizes a spiking neural network to simulate the structure of the human brain: including a feature extraction layer, a pulse coding layer, an STDP learning layer, a lateral inhibition layer, and a decision output layer; and improves model accuracy through on-orbit updates and federated learning. This invention reduces computational energy consumption and improves efficiency. Simultaneously, this invention leverages the synaptic plasticity of neurons to construct a SNN with excellent spatial and temporal resolution.
Owner:THE 54TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION
An adaptive visual enhancement and target detection method and system based on center-periphery antagonistic receptive field and lateral inhibition mechanism
The application relates to an adaptive visual enhancement and target detection method and system based on a center-periphery antagonistic receptive field and a lateral inhibition mechanism, and relates to an adaptive visual enhancement and target detection method and system. In order to solve the problems that the existing method lacks adaptive adjustment, the target detection task is insufficiently coupled, high detection precision and contrast enhancement cannot be ensured at the same time in a complex background, and the biological mechanism is not deeply utilized, the application first simulates a retinal receptive field by using a differential Gaussian filter to realize edge contrast amplification; subsequently, a learnable lateral inhibition layer is added in a deep network to apply inhibition to neighborhood responses to highlight target information. By online adaptive adjustment of the inhibition parameters, the application significantly improves target separability and detection precision in a complex background, and has high robustness and interpretability. The application belongs to the technical field of computer vision.
Owner:HARBIN INST OF TECH