59 citations · 75 across the 13 of their papers we have counts for
13 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 Artificial Intelligence
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…
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation
Deven M. Mistry, Ali A. Minai
Analyzing the pattern of semantic variation in long real-world texts such as books or transcripts is interesting from the stylistic, cognitive, and linguistic perspectives. It is a…
DeepCPG Policies for Robot Locomotion
Aditya M. Deshpande, Eric Hurd, Ali A. Minai +1
Central Pattern Generators (CPGs) form the neural basis of the observed rhythmic behaviors for locomotion in legged animals. The CPG dynamics organized into networks allow the emer…
Rapid Learning of Spatial Representations for Goal-Directed Navigation Based on a Novel Model of Hippocampal Place Fields
Adedapo Alabi, Dieter Vanderelst, Ali Minai
The discovery of place cells and other spatially modulated neurons in the hippocampal complex of rodents has been crucial to elucidating the neural basis of spatial cognition. More…
Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
Jaswanth Yella, Chao Zhang, Sergei Petrov +4
Over the last few decades, modern industrial processes have investigated several cost-effective methodologies to improve the productivity and yield of semiconductor manufacturing.…
Robust Deep Reinforcement Learning for Quadcopter Control
Aditya M. Deshpande, Ali A. Minai, Manish Kumar
Deep reinforcement learning (RL) has made it possible to solve complex robotics problems using neural networks as function approximators. However, the policies trained on stationar…
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
Aditya M. Deshpande, Rumit Kumar, Ali A. Minai +1
In this paper, we present a novel developmental reinforcement learning-based controller for a quadcopter with thrust vectoring capabilities. This multirotor UAV design has tilt-ena…
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
Aditya M. Deshpande, Ali A. Minai, Manish Kumar
Quality control is an essential process in manufacturing to make the product defect-free as well as to meet customer needs. The automation of this process is important to maintain…