Inventor

MODHA DHARMENDRA S

US221 patents

⚠️ This page may combine multiple inventors who share the name “MODHA DHARMENDRA S”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

MODHA DHARMENDRA S

IBM

Extracting salient features from video using a neurosynaptic system

Method and system for a cache replacement technique with adaptive skipping

Massively parallel neural inference computing elements

Consolidating multiple neurosynaptic cores into one memory

Hardware architecture for simulating a neural network of neurons

Structural descriptions for neurosynaptic networks

Structural plasticity in spiking neural networks with symmetric dual of an electronic neuron

Faulty core recovery mechanisms for a three-dimensional network on a processor array

Neuromorphic and synaptronic spiking neural network crossbar circuits with synaptic weights learned using a one-to-one correspondence with a simulation

Time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a universal substrate of adaptation

Cortical simulator for object-oriented simulation of a neural network

Apparatus and method to manage a data cache using a first and second least recently used list

Scheduler and simulator for an area-efficient, reconfigurable, energy-efficient, speed-efficient neural network

Classifying features using a neurosynaptic system

Scene understanding using a neurosynaptic system

Fault-tolerant power-driven synthesis

Extracting motion saliency features from video using a neurosynaptic system

Multi-compartment neurons with neural cores

Transform for a neurosynaptic core circuit

Implementing a neural network algorithm on a neurosynaptic substrate based on criteria related to the neurosynaptic substrate

Lens distortion correction using a neurosynaptic system

Lens distortion correction using a neurosynaptic circuit

Scene understanding using a neurosynaptic system

Transform for a neurosynaptic core circuit

Yield tolerance in a neurosynaptic system

Implementing a neural network algorithm on a neurosynaptic substrate based on metadata associated with the neural network algorithm

Structural descriptions for neurosynaptic networks

Extracting salient features from video using a neurosynaptic system

MODHA DHARMENDRA S

Neuromorphic and synaptronic spiking neural network with synaptic weights learned using simulation

Hierarchical scalable neuromorphic synaptronic system for synaptic and structural plasticity

Multi-scale spatio-temporal neural network system

Unsupervised, supervised and reinforced learning via spiking computation

Synaptic, dendritic, somatic, and axonal plasticity in a network of neural cores using a plastic multi-stage crossbar switching

Synaptic, dendritic, somatic, and axonal plasticity in a network of neural cores using a plastic multi-stage crossbar switching

Hierarchical routing for two-way information flow and structural plasticity in neural networks

Structural plasticity in spiking neural networks with symmetric dual of an electronic neuron

Multi-modal neural network for universal, online learning

Compact cognitive synaptic computing circuits with crossbar arrays spatially in a staggered pattern

Electronic learning synapse with spike-timing dependent plasticity using memory-switching elements

BREITWISCH MATTHEW J

Area efficient neuromorphic system that connects a FET in a diode configuration, and a variable resistance material to junctions of neuron circuit blocks

Area efficient neuromorphic circuits using field effect transistors (FET) and variable resistance material

ARTHUR JOHN V

Low-power event-driven neural computing architecture in neural networks

Integrate and fire electronic neurons

AKOPYAN FILIPP

Neuromorphic event-driven neural computing architecture in a scalable neural network

Neuromorphic event-driven neural computing architecture in a scalable neural network

BREZZO BERNARD V

Reconfigurable and customizable general-purpose circuits for neural networks

ALCAREZ-ICAZA RIVERA RODRIGO

Multiplexing physical neurons to optimize power and area

FRIEDMAN DANIEL J

Producing spike-timing dependent plasticity in a neuromorphic network utilizing phase change synaptic devices

ESSER STEVEN K

Multi-compartment neurons with neural cores

INTERNAT BUSINESSS MACHINES CORP

Stochastic synapse memory element with spike-timing dependent plasticity (STDP)