203 citations · 1.3k across the 57 of their papers we have counts for
7 papers · 1 filter
Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion
Zhuangyu Han, Abhronil Sengupta
Neuromorphic computing systems, where information is transmitted through action potentials in a bio-plausible fashion, is gaining increasing interest due to its promise of low-powe…
Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning
Bibhas Manna, Arnob Saha, Zhouhang Jiang +2
Reliability issues stemming from device level non-idealities of non-volatile emerging technologies like ferroelectric field-effect transistors (FeFET), especially at scaled dimensi…
Delving Deeper Into Astromorphic Transformers
Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta
Preliminary attempts at incorporating the critical role of astrocytes - cells that constitute more than 50\% of human brain cells - in brain-inspired neuromorphic computing remain…
Hydrogen-induced tunable remanent polarization in a perovskite nickelate
Yifan Yuan, Michele Kotiuga, Tae Joon Park +18
Materials with field-tunable polarization are of broad interest to condensed matter sciences and solid-state device technologies. Here, using hydrogen (H) donor doping, we modify t…
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
Malyaban Bal, Abhronil Sengupta
Large language Models (LLMs), though growing exceedingly powerful, comprises of orders of magnitude less neurons and synapses than the human brain. However, it requires significant…
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity
Sen Lu, Abhronil Sengupta
Spike-Timing-Dependent Plasticity (STDP) is an unsupervised learning mechanism for Spiking Neural Networks (SNNs) that has received significant attention from the neuromorphic hard…