activity
20222026
most citedProspective Learning: Principled Extrapolation to the Future

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2026

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…

eess.SP2024

HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs

Akwasi Akwaboah, Ralph Etienne-Cummings

The promise of increasing channel counts in high density () neural Microelectrode Arrays (MEAs) for high resolution recording comes with the curse of developing faster char…

eess.IV2023

Pix2HDR -- A pixel-wise acquisition and deep learning-based synthesis approach for high-speed HDR videos

Caixin Wang, Jie Zhang, Matthew A. Wilson +1

Accurately capturing dynamic scenes with wide-ranging motion and light intensity is crucial for many vision applications. However, acquiring high-speed high dynamic range (HDR) vid…

eess.SY2023

Neuromorphic Place Cells

Zhaoqi Chen, Ralph Etienne-Cummings

A neuromorphic SLAM system shows potential for more efficient implementation than its traditional counterpart. We demonstrate a mixed-mode implementation for spatial encoding neuro…

cs.LG2022★ 6 cited

Prospective Learning: Principled Extrapolation to the Future

Ashwin De Silva, Rahul Ramesh, Lyle Ungar +40

Learning is a process which can update decision rules, based on past experience, such that future performance improves. Traditionally, machine learning is often evaluated under the…