5 papers
BIT-Nav: Brain-Inspired Trajectory Memory for Embodied Navigation
Rithvik Jonna, Aakash Gurram, Man Namgung +2
Vision-Language Models (VLMs) for embodied navigation rely on selecting a fixed number of frames from a growing trajectory history. As episodes extend, this selection grows increas…
Spectral-Stimulus Information for Self-Supervised Stimulus Encoding
Jared Deighton, Wyatt Mackey, Ioannis Schizas +2
Mammalian spatial navigation relies on specialized neurons, such as place and grid cells, which encode position based on self-motion and environmental cues. While extensive researc…
HiCL: Hippocampal-Inspired Continual Learning
Kushal Kapoor, Wyatt Mackey, Yiannis Aloimonos +1
We propose HiCL, a novel hippocampal-inspired dual-memory continual learning architecture designed to mitigate catastrophic forgetting by using elements inspired by the hippocampal…
EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment
Mikolaj Walczak, Romina Aalishah, Wyatt Mackey +5
Deep reinforcement learning agents are often fragile while humans remain adaptive and flexible to varying scenarios. To bridge this gap, we present EDEN, a biologically inspired na…
Geometric sparsification in recurrent neural networks
Wyatt Mackey, Ioannis Schizas, Jared Deighton +2
A common technique for ameliorating the computational costs of running large neural models is sparsification, or the pruning of neural connections during training. Sparse models ar…