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08/08/2023
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
The ability to learn continuously from an incoming data stream without c...
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02/26/2023
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures
In this work we have extended AutoML inspired approaches to the explorat...
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01/18/2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Despite the advancement of machine learning techniques in recent years, ...
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11/30/2022
General policy mapping: online continual reinforcement learning inspired on the insect brain
We have developed a model for online continual or lifelong reinforcement...
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04/09/2021
Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings
Neuromorphic architectures are ideally suited for the implementation of ...
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07/16/2020
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning
We focus on the problem of how to achieve online continual learning unde...
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07/13/2020
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware
In this work we explore recurrent representations of leaky integrate and...
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06/04/2019