6 papers
HiRA-CAM: Preserving Fine-Grained Spatial Relevance in Gradient-Based Visual Explanations
Manasi Nerurkar, Ali A. Minai
Deep Learning models can include billions of parameters or more, making it difficult to explain their internal transformations and outputs. However, explainability is increasing in…
The Role of Grid Cells in Reducing Spatial Aliasing in Hippocampal Place Representations
Alexander Johnson, Obadah Ghizawi, Ali A. Minai
Spatial aliasing occurs when two or more distinct locations produce highly similar place-cell representations, primarily due to environmental symmetry or repetitive structures. Thi…
NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence
Anthony Zador, Jean-Marc Fellous, Terrence Sejnowski +28
Neuroscience and Artificial Intelligence (AI) have made impressive progress in recent years but remain only loosely interconnected. Based on a workshop convened by the National Sci…
A Reinforcement Learning-Based Model for Mapping and Goal-Directed Navigation Using Multiscale Place Fields
Bekarys Dukenbaev, Andrew Gerstenslager, Alexander Johnson +1
Autonomous navigation in complex and partially observable environments remains a central challenge in robotics. Several bio-inspired models of mapping and navigation based on place…
Improved Accuracy of Robot Localization Using 3-D LiDAR in a Hippocampus-Inspired Model
Andrew Gerstenslager, Bekarys Dukenbaev, Ali A. Minai
Boundary Vector Cells (BVCs) are a class of neurons in the brains of vertebrates that encode environmental boundaries at specific distances and allocentric directions, playing a ce…
A Neuromorphic Model of Learning Meaningful Sequences with Long-Term Memory
Laxmi R. Iyer, Ali A. Minai
Learning meaningful sentences is different from learning a random set of words. When humans understand the meaning, the learning occurs relatively quickly. What mechanisms enable t…