A Large-Scale Model of the Functioning Brain

By Chris Eliasmith, T. Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. Science, 2012

387 citations recorded by the source corpus.

Subfields: Biophysics, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/38f97960be98c9b523befc21f8f1724715d4184c

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In Cognitive Neuroscience

Citations in the corpus

A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics (2017, background): “In neuroscience, architectures such as Leabra (O’Reilly, Hazy, and Herd 2016) and Spaun (Eliasmith 2013) adopt mechanisms and organizations compatible with the human brain, but primarily apply them to simple memory and decision-making tasks.”
A review of learning in biologically plausible spiking neural networks (2019, neutral): “There are a considerable number of DSNNs that use rate-based approach (Diehl & Cook, 2015; Eliasmith et al., 2012; Guerguiev, Lillicrap, & Richards, 2017; Mesnard, Gerstner, & Brea, 2016; Neftci, Emre, Augustine, Paul, & Detorakis, 2016).”
An efficient automated parameter tuning framework for spiking neural networks (2014, methodology): “We ﬁrst brieﬂy review the approaches CARLsim uses to run SNNs in parallel before describing the general layout of the automated parameter tuning framework and describe how a researcher would use the tool to tune SNNs. Figure 1 shows the basic CUDA GPU architecture, which consists of a multiple strea”
Nengo: a Python tool for building large-scale functional brain models (2014, methodology): “…2006), list memory (Choo and Eliasmith, 2010), inductive reasoning (Rasmussen and Eliasmith, 2014), motor control (DeWolf and Eliasmith, 2011), decision making (Stewart et al., 2012)] culminating recently with Spaun, currently the world’s largest functional brain model (Eliasmith et al., 2012).”
Assembly pointers for variable binding in networks of spiking neurons (2016, methodology): “It had been used in the semantic pointer architecture of Eliasmith [28] where spiking neural networks were constructed to perform these rather complex operations.”