research
∙
09/17/2023
Language models are susceptible to incorrect patient self-diagnosis in medical applications
Large language models (LLMs) are becoming increasingly relevant as a pot...
share
research
∙
06/02/2023
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks
Legged robots operating in real-world environments must possess the abil...
research
∙
05/18/2023
Brain-inspired learning in artificial neural networks: a review
Artificial neural networks (ANNs) have emerged as an essential tool in m...
research
∙
09/28/2022
Biological connectomes as a representation for the architecture of artificial neural networks
Grand efforts in neuroscience are working toward mapping the connectomes...
research
∙
06/25/2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
We propose that in order to harness our understanding of neuroscience to...
research
∙
11/07/2021
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks
Synaptic plasticity poses itself as a powerful method of self-regulated ...
research
∙
09/27/2021
Self-Replicating Neural Programs
In this work, a neural network is trained to replicate the code that tra...
research
∙
09/16/2021
Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence
Can reproduction alone in the context of survival produce intelligence i...
research
∙
06/04/2021
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
The adaptive changes in synaptic efficacy that occur between spiking neu...
research
∙
03/29/2021
Self-Constructing Neural Networks Through Random Mutation
The search for neural architecture is producing many of the most excitin...
research
∙
05/22/2020
