activity
20192026
most citedToward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

33 citations · 34 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.NC2026

Understanding Decision-Making Across the Lifespan Needs Theoretical Neuroscience

Michael B. Ryan, Letizia Ye, Anne K. Churchland

Understanding how decision making changes across the lifespan is a central challenge for neuroscience, yet research on cognitive aging has remained largely disconnected from the th…

cs.AI2022★ 33 cited

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Anthony Zador, Sean Escola, Blake Richards +24

Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in…

q-bio.NC2021

Large-scale neural recordings call for new insights to link brain and behavior

Anne E. Urai, Brent Doiron, Andrew M. Leifer +1

Neuroscientists today can measure activity from more neurons than ever before, and are facing the challenge of connecting these brain-wide neural recordings to computation and beha…

q-bio.NC2020

Chronic, cortex-wide imaging of specific cell populations during behavior

Joao Couto, Simon Musall, Xiaonan R Sun +8

Measurements of neuronal activity across brain areas are important for understanding the neural correlates of cognitive and motor processes like attention, decision-making, and act…

q-bio.NC2019★ 1 cited

Harnessing behavioral diversity to understand circuits for cognition

Simon Musall, Anne Urai, David Sussillo +1

With the increasing acquisition of large-scale neural recordings comes the challenge of inferring the computations they perform and understanding how these give rise to behavior. H…