Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Chris, Eliasmith"'
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
To navigate in new environments, an animal must be able to keep track of its position while simultaneously creating and updating an internal map of features in the environment, a problem formulated as simultaneous localization and mapping (SLAM) in t
Externí odkaz:
https://doaj.org/article/922f278359494b6bb5a83ceeca356869
Autor:
Chris Eliasmith
How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neur
Autor:
Peter Duggins, Chris Eliasmith
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 9, p e1010461 (2022)
Improving biological plausibility and functional capacity are two important goals for brain models that connect low-level neural details to high-level behavioral phenomena. We develop a method called "oracle-supervised Neural Engineering Framework" (
Externí odkaz:
https://doaj.org/article/8ae9e078c3f4469db61568099ce425c7
Publikováno v:
Neuromorphic Computing and Engineering, Vol 3, Iss 1, p 014007 (2023)
In this paper, we present a fully spiking neural network running on Intel’s Loihi chip for operational space control of a simulated 7-DOF arm. Our approach uniquely combines neural engineering and deep learning methods to successfully implement pos
Externí odkaz:
https://doaj.org/article/c62022a823fd49f1a9480a063e4f4669
Autor:
Nicole Sandra-Yaffa Dumont, Andreas Stöckel, P. Michael Furlong, Madeleine Bartlett, Chris Eliasmith, Terrence C. Stewart
Publikováno v:
Brain Sciences, Vol 13, Iss 2, p 245 (2023)
The Neural Engineering Framework (Eliasmith & Anderson, 2003) is a long-standing method for implementing high-level algorithms constrained by low-level neurobiological details. In recent years, this method has been expanded to incorporate more biolog
Externí odkaz:
https://doaj.org/article/bf4e72ab43e44289843d4d33b8e257d3
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
In this paper we demonstrate how the Nengo neural modeling and simulation libraries enable users to quickly develop robotic perception and action neural networks for simulation on neuromorphic hardware using tools they are already familiar with, such
Externí odkaz:
https://doaj.org/article/22c5d6371dd8443388a58e08eb8cfccd
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2018)
Background: Parkinson's disease affects many motor processes including speech. Besides drug treatment, deep brain stimulation (DBS) in the subthalamic nucleus (STN) and globus pallidus internus (GPi) has developed as an effective therapy.Goal: We pre
Externí odkaz:
https://doaj.org/article/a64ce86b8b614872b657d40b7522c655
Autor:
Aaron R. Voelker, Chris Eliasmith
Publikováno v:
Handbook of Neuroengineering ISBN: 9789811655395
Handbook of Neuroengineering ISBN: 9789811528484
Handbook of Neuroengineering
Handbook of Neuroengineering ISBN: 9789811528484
Handbook of Neuroengineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bc34316ffc4ece76d4f254513c01c10
https://doi.org/10.1007/978-981-16-5540-1_115
https://doi.org/10.1007/978-981-16-5540-1_115
Autor:
Peter Blouw, Chris Eliasmith
Publikováno v:
Frontiers in Psychology, Vol 8 (2018)
Neural networks have long been used to study linguistic phenomena spanning the domains of phonology, morphology, syntax, and semantics. Of these domains, semantics is somewhat unique in that there is little clarity concerning what a model needs to be
Externí odkaz:
https://doaj.org/article/621bb1b777cc45c5b6e5ff8b7c0b0b1e
Autor:
Jan Gosmann, Chris Eliasmith
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
One critical factor limiting the size of neural cognitive models is the time required to simulate such models. To reduce simulation time, specialized hardware is often used. However, such hardware can be costly, not readily available, or require spec
Externí odkaz:
https://doaj.org/article/c0f5eae8b7744e929474bd305c4784fd