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US20170169327 |
CONVOLUTIONAL NEURAL NETWORK
Systems and methods of implementing a more efficient and less resource-intensive CNN are disclosed herein. In particular, applications of CNN in the analog domain using Sampled Analog Technology... |
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US20150324690 |
Deep Learning Training System
Training large neural network models by providing training input to model training machines organized as multiple replicas that asynchronously update a shared model via a global parameter server... |
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US20120084240 |
PHASE CHANGE MEMORY SYNAPTRONIC CIRCUIT FOR SPIKING COMPUTATION, ASSOCIATION AND RECALL
Embodiments of the invention are directed to producing spike-timing dependent plasticity using electronic neurons for computation, and pattern matching tasks such as association and recall. In... |
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US20160342887 |
SCALABLE NEURAL NETWORK SYSTEM
A scalable neural network system may include a root processor and a plurality of neural network processors with a tree of synchronizing sub-systems connecting them together. Each synchronization... |
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US20160004957 |
COMPUTER-IMPLEMENTED SIMULATED INTELLIGENCE CAPABILITIES BY NEUROANATOMICALLY-BASED SYSTEM ARCHITECTURE
Computer-implemented systems for simulated intelligence information processing comprising: a digital processing device comprising an operating system configured to perform executable instructions... |
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US20120323832 |
NEURAL MODELING AND BRAIN-BASED DEVICES USING SPECIAL PURPOSE PROCESSOR
A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing... |
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US20120117012 |
Spike-timing computer modeling of working memory
Working memory (WM) is part of the brain's memory system that provides temporary storage and manipulation of information necessary for cognition. Although WM has limited capacity at any given... |
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US20130212053 |
FEATURE EXTRACTION DEVICE, FEATURE EXTRACTION METHOD AND PROGRAM FOR SAME
A feature extraction device according to the present invention includes a neural network including neurons each including at least one expressed gene which is an attribute value for determining... |
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US20160196489 |
ARTIFICIAL NEURON
The present invention relates to an optical device (101, 201, 305). The present invention may be implemented as optical artificial neurons. The optical device comprises an optically transmissive... |
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US20130013544 |
MIDDLEWARE DEVICE FOR THREE-TIER UBIQUITOUS CITY SYSTEM
Disclosed is a ubiquitous city (u-city) exclusive middleware to provide services to a u-city. A middleware device performs a role corresponding to a brain of a human being by aggregating u-city... |
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US20110302119 |
SELF-ORGANIZING CIRCUITS
A self-organizing electronic system and method that organizes and repairs itself. A number circuit of modules can be embedded in a fabric. Each circuit module can calculate some function of its... |
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US20130159232 |
REGULATING ACTIVATION THRESHOLD LEVELS IN A SIMULATED NEURAL CIRCUIT
A simulated neural element includes a cell body and one or more simulated branches. Simulated branches are configured to receive input signals and to activate when a combination of the signals... |
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US20140067742 |
HYBRID INTERCONNECT STRATEGY FOR LARGE-SCALE NEURAL NETWORK SYSTEMS
A plurality of chips arranged in a certain layout so as to face free space, and one or more optical elements are included. In the case where signal traffic for electrical communication with a... |
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US20140067741 |
HYBRID INTERCONNECT STRATEGY FOR LARGE-SCALE NEURAL NETWORK SYSTEMS
A plurality of chips arranged in a certain layout so as to face free space, and one or more optical elements are included. In the case where signal traffic for electrical communication with a... |
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US20110213743 |
APPARATUS FOR REALIZING THREE-DIMENSIONAL NEURAL NETWORK
An apparatus for realizing a three-dimensional (3D) neural network includes a culture substrate (21) having a 3D structure and a plurality of microelectrodes (22) disposed on the culture substrate... |
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US20080201284 |
Computer-Implemented Model of the Central Nervous System
A computer-implemented model of the central nervous system includes at least one of a basal ganglia portion, a cerebral cortex portion coupled to the basal ganglia portion, or a cerebellum portion... |