Tag: spiking neural networks

A new method called SADA combines active learning with domain adaptation to cut the labeled data needed to train spiking ...

Researchers report an AI model combining CNN feature extraction and a spiking neural network that classifies microscopic fabric defects with ...

A new review examines how neuroscience-inspired deep learning and genetic algorithms can be combined into hybrid, biologically plausible AI systems.

A computational model of Alzheimer's disease shows that adjusting short-term synaptic facilitation time constants can restore memory engram selectivity and ...

A reconfigurable transistor and neural-network-in-logic architecture reduced the hardware needed for handwritten-digit recognition in simulation and produced large estimated energy ...

A neural architecture search framework called CMS-NAS automatically evolves hybrid convolutional, Mamba and spiking network designs for lightweight, accurate EEG-based ...

Adding biologically grounded inhibitory connections to a spiking neural network model of decision making improved its ability to predict human ...

An open-source framework from Madrid automatically converts trained Python spiking neural networks into synthesizable VHDL, achieving up to 99.06 percent ...

The study, published in Frontiers in Neurorobotics by researchers at Chiba Institute of Technology, arrives at a moment when the ...

Researchers at Lakehead University have built a federated spiking GAN that generates realistic synthetic EEG data for brain-computer interfaces while ...