Processing with cell assemblies

Byrne, Emma; Huyck, Christian R.

doi:10.1016/j.neucom.2009.09.024

Cited by 12 publications

(9 citation statements)

References 15 publications

(25 reference statements)

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“…The mathematical definition of the change in activity at a Hebb synapse through "synaptic scaling" has allowed for the quantitative definition of a Hebbian Cell Assembly [179] for use in robotics and artificial intelligence. Virtual Cell Assembly Robots (CABots), have been built using cell assemblies as the basis of short and long term artificial memories [27,96] and the cell assembly has been proposed [77] diagram of a cell assembly. Arrows represent transitions between individual assemblies.…”

Section: Neurocomputingmentioning

confidence: 99%

Donald O. Hebb and the Organization of Behavior: 17 years in the writing

Brown

2020

Mol Brain

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The Organization of Behavior has played a significant part in the development of behavioural neuroscience for the last 70 years. This book introduced the concepts of the "Hebb synapse", the "Hebbian cell assembly" and the "Phase sequence". The most frequently cited of these is the Hebb synapse, but the cell assembly may be Hebb's most important contribution. Even after 70 years, Hebb's theory is still relevant because it is a general framework for relating behavior to synaptic organization through the development of neural networks. The Organization of Behavior was Hebb's 40th publication. His first published papers in 1937 were on the innate organization of the visual system and he first used the phrase "the organization of behavior" in 1938. However, Hebb wrote a number of unpublished papers between 1932 and 1945 in which he developed the ideas published in The Organization of Behavior. Thus, the concept of the neural organization of behavior was central to Hebb's thinking from the beginning of his academic career. But his thinking about the organization of behavior in 1949 was different from what it was between 1932 and 1937. This paper examines Hebb's early ideas on the neural basis of behavior and attempts to trace the rather arduous series of steps through which he developed these ideas into the book that was published as The Organization of Behavior. Using the 1946 typescript and Hebb's correspondence we can see a number of changes made in the book before it was published. Finally, a number of issues arising from the book, and the importance of the book today are discussed.

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Section: Neurocomputingmentioning

confidence: 99%

Donald O. Hebb and the Organization of Behavior: 17 years in the writing

Brown

2020

Mol Brain

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“…Whilst some aspects of network behaviour do not map automatically to PyNN, as noted earlier, much of the translation from Java to PyNN is a relatively straightforward software engineering task. The original Java version of CABot3 showed that, given enough neurons, anything can be programmed; i.e., neurons are Turing complete (Byrne and Huyck, 2010). However, the Java FLIF models are one example where there is not an implicit structural mapping to PyNN and so new systems have been developed.…”

Section: Translationmentioning

confidence: 99%

A comparison of simple agents implemented in simulated neurons

Huyck

Evans

Mitchell

2015

Biologically Inspired Cognitive Architectures

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Neuromorphic embodied cell assembly agents that learn are one application being developed for the Human Brain Project (HBP). The HBP is building tools, available for all researchers, for building brain simulations. Existing simulated neural Cell Assembly agents are being translated to the platforms provided by the HBP; these agents run on neuromorphic chips in addition to von Neumann based computers. Whilst translation of the agents to the software technology demanded by the HBP platforms is relatively straightforward, porting to the neuromorphic chips is a non-trivial software engineering task. Versions of the simple agent, CABot1, have been developed in fatiguing leaky integrate and fire neurons, Izhikevich neurons and leaky integrate and fire neurons. These have been developed to run in Java, PyNN, NEST and Neuromorphic hardware. All variants are roughly equivalent. The agents view a picture, implement simple commands, and respond to a context sensitive directive involving the content of the picture. By running variants of these agents on different platforms, and with the different simulated neural models, implicit assumptions in these models can be revealed. Once these Cell Assembly agents have been translated and embodied in a virtual environment, they will be extended to learn more effectively. The use of neural hardware supports the real time simulation of many more neurons, providing a platform for exploration of more complex simulated neural systems.

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“…It is difficult to program things in simulated neurons but, like rule based systems, neurons are Turing complete (Byrne and Huyck 2010). Consequently, it is possible to specify, design and implement a cognitive architecture with neurons as the foundation.…”

Section: Introductionmentioning

confidence: 99%

A neural cognitive architecture

Huyck

2020

Cognitive Systems Research

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Processing with cell assemblies

Cited by 12 publications

References 15 publications

Donald O. Hebb and the Organization of Behavior: 17 years in the writing

Donald O. Hebb and the Organization of Behavior: 17 years in the writing

A comparison of simple agents implemented in simulated neurons

A neural cognitive architecture

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