Design and self-assembly of DNA into nanoscale 3D shapes. - Shawn M. Douglas; Hendrik Dietz; Tim Liedl; Björn Högberg; Franziska Graf; Adam H. Marblestone; Surat Teerapittayanon; Alejandro Vazquez; George M. Church; William M. Shih (SIGGRAPH Talks, 2009)

Exponential quantum enhancement for distributed addition with local nonlinearity. - Adam Henry Marblestone; Michel Devoret (Quantum Inf. Process., 2010)

Physical principles for scalable neural recording. - Adam H. Marblestone; Bradley M. Zamft; Yael Maguire; Mikhail G. Shapiro; Thaddeus Cybulski; Joshua I. Glaser; Dario Amodei; P. Benjamin Stranges; Reza Kalhor; David Dalrymple; Dongjin Seo; Elad Alon; et al. (Frontiers Comput. Neurosci., 2013)

Statistical Analysis of Molecular Signal Recording. - Joshua I. Glaser; Bradley M. Zamft; Adam H. Marblestone; Jeffrey R. Moffitt; Keith E. J. Tyo; Edward S. Boyden III; George M. Church; Konrad P. Körding (PLoS Comput. Biol., 2013)

Spatial information in large-scale neural recordings. - Thaddeus Cybulski; Joshua I. Glaser; Adam Henry Marblestone; Bradley M. Zamft; Edward S. Boyden III; George M. Church; Konrad P. Körding (Frontiers Comput. Neurosci., 2014)

Toward an Integration of Deep Learning and Neuroscience. - Adam H. Marblestone; Greg Wayne; Konrad P. Körding (Frontiers Comput. Neurosci., 2016)

Feasibility of 3D Reconstruction of Neural Morphology Using Expansion Microscopy and Barcode-Guided Agglomeration. - Young-Gyu Yoon; Peilun Dai; Jeremy Wohlwend; Jae-Byum Chang; Adam H. Marblestone; Edward S. Boyden III (Frontiers Comput. Neurosci., 2017)

Malthusian Reinforcement Learning. - Joel Z. Leibo; Julien Pérolat; Edward Hughes 001; Steven Wheelwright; Adam H. Marblestone; Edgar A. Duéñez-Guzmán; Peter Sunehag; Iain Dunning; Thore Graepel (AAMAS, 2019)

Gaussian Gated Linear Networks. - David Budden; Adam H. Marblestone; Eren Sezener; Tor Lattimore; Gregory Wayne; Joel Veness (NeurIPS, 2020)

Product Kanerva Machines: Factorized Bayesian Memory. - Adam H. Marblestone; Yan Wu 010; Greg Wayne (CoRR, 2020)

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. - Anthony Zador; Blake A. Richards; Bence Ölveczky; Sean Escola; Yoshua Bengio; Kwabena Boahen 001; Matthew M. Botvinick; Dmitri B. Chklovskii; Anne Churchland; Claudia Clopath; James DiCarlo; Surya Ganguli; et al. (CoRR, 2022)

NeuroAI for AI Safety. - Patrick J. Mineault; Niccoló Zanichelli; Joanne Zichen Peng; Anton Arkhipov; Eli Bingham; Julian Jara-Ettinger; Emily Mackevicius; Adam H. Marblestone; Marcelo Mattar; Andrew Payne; Sophia Sanborn; Karen Schroeder; et al. (CoRR, 2024)