244 citations · 314 across the 7 of their papers we have counts for
7 papers
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Georgios Detorakis, Sadique Sheik, Charles Augustine +6
Embedded, continual learning for autonomous and adaptive behavior is a key application of neuromorphic hardware. However, neuromorphic implementations of embedded learning at large…
Extent of Variation Resilience in Strained CMOS: From Transistors to Digital Circuits
Ahmad Ehteshamul Islam, Charles Augustine, Kaushik Roy +1
Process-related and stress-induced changes in threshold voltage are major variability concerns in ultra-scaled CMOS transistors. The device designers consider this variability as a…
Neuromorphic Deep Learning Machines
Emre Neftci, Charles Augustine, Somnath Paul +1
An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and tempora…
Membrane-Dependent Neuromorphic Learning Rule for Unsupervised Spike Pattern Detection
Sadique Sheik, Somnath Paul, Charles Augustine +1
Several learning rules for synaptic plasticity, that depend on either spike timing or internal state variables, have been proposed in the past imparting varying computational capab…
Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity
Bruno U. Pedroni, Sadique Sheik, Siddharth Joshi +5
Spike-timing-dependent plasticity (STDP) incurs both causal and acausal synaptic weight updates, for negative and positive time differences between pre-synaptic and post-synaptic s…
Proposal For Neuromorphic Hardware Using Spin Devices
Mrigank Sharad, Charles Augustine, Georgios Panagopoulos +1
We present a design-scheme for ultra-low power neuromorphic hardware using emerging spin-devices. We propose device models for 'neuron', based on lateral spin valves and domain wal…