17903923. STEP-AHEAD SPIKING NEURAL NETWORK simplified abstract (Micron Technology, Inc.)

STEP-AHEAD SPIKING NEURAL NETWORK

Organization Name

Micron Technology, Inc.

Inventor(s)

Dmitri Yudanov of Rancho Cordova CA (US)

STEP-AHEAD SPIKING NEURAL NETWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 17903923 titled 'STEP-AHEAD SPIKING NEURAL NETWORK

Simplified Explanation

The disclosed embodiments include a memory array configured to store a membrane potential and a synaptic connection identifier of each of a plurality of neurons, a plurality of processors coupled to the memory array, the plurality of processors configured to: immediately perform a search and match operation in the memory array upon receiving a spike message identifying relevant synaptic connections in the memory array, generate a bitmask signifying a first source neuron identifier having a match to a second source neuron identifier in the memory array, perform a synaptic integration and a long-time depression computation on a subset of spike messages including the first spike message, update membrane potentials of the plurality of neurons upon receiving an indication that all the spike messages identified in a barrier message have been received in the memory array, generate a new spike message, and transmit the new spike message to a network.

• Memory array stores membrane potential and synaptic connection identifier of neurons
• Processors perform search and match operation in memory array upon receiving spike message
• Processors generate bitmask for neuron identifiers, perform synaptic integration and depression computation
• Membrane potentials of neurons are updated based on received spike messages
• New spike message is generated and transmitted to a network

Potential Applications

This technology could potentially be applied in:

• Neuroscience research
• Artificial intelligence development
• Brain-computer interfaces

Problems Solved

This technology helps in:

• Efficiently processing synaptic connections
• Updating membrane potentials of neurons accurately
• Facilitating communication in neural networks

Benefits

The benefits of this technology include:

• Improved understanding of neural processes
• Enhanced performance in AI applications
• Faster and more accurate communication between neurons

Potential Commercial Applications

Optimizing Neural Network Communication for Enhanced AI Performance

Unanswered Questions

How does this technology compare to existing neural network models?

This article does not provide a comparison with traditional neural network models or other similar technologies.

What are the potential limitations or challenges of implementing this technology?

The article does not address any potential limitations or challenges that may arise in implementing this technology.

Original Abstract Submitted

The disclosed embodiments include a memory array configured to store a membrane potential and a synaptic connection identifier of each of a plurality of neurons, a plurality of processors coupled to the memory array, the plurality of processors configured to: immediately perform a search and match operation in the memory array upon receiving a spike message identifying relevant synaptic connections in the memory array, generate a bitmask signifying a first source neuron identifier having a match to a second source neuron identifier in the memory array, perform a synaptic integration and a long-time depression computation on a subset of spike messages including the first spike message, update membrane potentials of the plurality of neurons upon receiving an indication that all the spike messages identified in a barrier message have been received in the memory array, generate a new spike message, and transmit the new spike message to a network.