Search Results for author: Adam H. Marblestone

Found 4 papers, 0 papers with code

Malthusian Reinforcement Learning

no code implementations17 Dec 2018 Joel Z. Leibo, Julien Perolat, Edward Hughes, Steven Wheelwright, Adam H. Marblestone, Edgar Duéñez-Guzmán, Peter Sunehag, Iain Dunning, Thore Graepel

Here we explore a new algorithmic framework for multi-agent reinforcement learning, called Malthusian reinforcement learning, which extends self-play to include fitness-linked population size dynamics that drive ongoing innovation.

Multi-agent Reinforcement Learning reinforcement-learning

Multiplexed Neural Recording Down a Single Optical Fiber via Optical Reflectometry with Capacitive Signal Enhancement

no code implementations2 Jun 2015 Samuel G. Rodriques, Adam H. Marblestone, Max Mankin, Lowell Wood, Edward S. Boyden

We introduce a fiber-optic architecture for neural recording without contrast agents, and study its properties theoretically.

Rosetta Brains: A Strategy for Molecularly-Annotated Connectomics

no code implementations21 Apr 2014 Adam H. Marblestone, Evan R Daugharthy, Reza Kalhor, Ian D Peikon, Justus M Kebschull, Seth L Shipman, Yuriy Mishchenko, Je Hyuk Lee, Konrad P. Kording, Edward S. Boyden, Anthony M Zador, George M. Church

We propose a neural connectomics strategy called Fluorescent In-Situ Sequencing of Barcoded Individual Neuronal Connections (FISSEQ-BOINC), leveraging fluorescent in situ nucleic acid sequencing in fixed tissue (FISSEQ).

Neurons and Cognition

Physical Principles for Scalable Neural Recording

no code implementations24 Jun 2013 Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire, Mikhail G. Shapiro, Thaddeus R. Cybulski, Joshua I. Glaser, Dario Amodei, P. Benjamin Stranges, Reza Kalhor, David A. Dalrymple, Dongjin Seo, Elad Alon, Michel M. Maharbiz, Jose M. Carmena, Jan M. Rabaey, Edward S. Boyden, George M. Church, Konrad P. Kording

Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience.

Neurons and Cognition Biological Physics

Cannot find the paper you are looking for? You can Submit a new open access paper.