2 citations · 3 across the 5 of their papers we have counts for
7 papers
General policy mapping: online continual reinforcement learning inspired on the insect brain
Angel Yanguas-Gil, Sandeep Madireddy
We have developed a model for online continual or lifelong reinforcement learning (RL) inspired on the insect brain. Our model leverages the offline training of a feature extractio…
Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings
Angel Yanguas-Gil
Neuromorphic architectures are ideally suited for the implementation of smart sensors able to react, learn, and respond to a changing environment. Our work uses the insect brain as…
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware
Angel Yanguas-Gil
In this work we explore recurrent representations of leaky integrate and fire neurons operating at a timescale equal to their absolute refractory period. Our coarse time scale appr…
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning
Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash
The ability to learn continuously from an incoming data stream without catastrophic forgetting is critical for designing intelligent systems. Many existing approaches to continual…
Optical and structural properties of Si doped -GaO (010) thin films homoepitaxially grown by halide vapor phase epitaxy
Bahadir Kucukgok, David J. Mandia, Jacob H. Leach +6
We report the optical, electrical, and structural properties of Si doped -GaO films grown on (010)-oriented -GaO substrate via HVPE. Our results show that, de…
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning
Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash
The ability to learn and adapt in real time is a central feature of biological systems. Neuromorphic architectures demonstrating such versatility can greatly enhance our ability to…