activity
20142022
most citedRobust information propagation through noisy neural circuits

70 citations · 109 across the 4 of their papers we have counts for

collaborators

5 papers

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.NC2020★ 2 cited

Dynamic allocation of limited memory resources in reinforcement learning

Nisheet Patel, Luigi Acerbi, Alexandre Pouget

Biological brains are inherently limited in their capacity to process and store information, but are nevertheless capable of solving complex tasks with apparent ease. Intelligent b…

q-bio.NC2016★ 4 cited

Grand Challenges for Global Brain Sciences

Joshua T. Vogelstein, Katrin Amunts, Andreas Andreou +59

The next grand challenges for society and science are in the brain sciences. A collection of 60+ scientists from around the world, together with 10+ observers from national, privat…

q-bio.NC2016★ 70 cited

Robust information propagation through noisy neural circuits

Joel Zylberberg, Alexandre Pouget, Peter E. Latham +1

Sensory neurons give highly variable responses to stimulation, which can limit the amount of stimulus information available to downstream circuits. Much work has investigated the f…

q-bio.NC2014

Synaptic plasticity as Bayesian inference

Laurence Aitchison, Jannes Jegminat, Jorge Aurelio Menendez +3

Learning, especially rapid learning, is critical for survival. However, learning is hard: a large number of synaptic weights must be set based on noisy, often ambiguous, sensory in…