3 papers
eess.SY2026
A Reconfigurable Hybrid Convolutional-Fully Connected Neuromorphic Core for Biomedical Edge Inference
Sarah Johari, Suman Kumar, Abhishek Mishra +2
This work presents a programmable FPGA-based architecture for spiking convolutional neural network (SCNN) inference, with real-time hypoxia classification serving as a biomedical e…
cs.NE2024
Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification
Abhishek Mishra, Suman Kumar, Anush Lingamoorthy +2
In integrated circuit design, the analysis of wafer map patterns is critical to improve yield and detect manufacturing issues. We develop Wafer2Spike, an architecture for wafer map…
cs.AR2024
A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
Shadi Matinizadeh, Noah Pacik-Nelson, Ioannis Polykretis +9
We introduce QUANTISENC, a fully configurable open-source software-defined digital quantized spiking neural core architecture to advance research in neuromorphic computing. QUANTIS…