Author

Nagarajan Kandasamy

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Preprint Sep 2026

A Reconfigurable Hybrid Convolutional-Fully Connected Neuromorphic Core for Biomedical Edge Inference

This work presents a programmable FPGA-based architecture for spiking convolutional neural network (SCNN) inference, with real-time hypoxia classification serving as a biomedical edge application. The architecture implements a hybrid spiking convolutional-fully connected (CNN-FC) topology on a programmable, quantized,...

Sarah Johari, Suman Kumar, A. Mishra et al. · 0 citations

Open access

Dependable digital spiking neuromorphic hardware

Four error-detection and fault-tolerance methods developed specifically for spiking systems are developed and implemented on QUANTISENC, an open-source digital spiking neuromorphic core, executing standard image-classification workloads.

Suman Kumar, Nagarajan Kandasamy, Anup Das · 0 citations