Publication Details
Title: Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation
Author: L. Shastri
Group: AI
Date: 2001
PDF: [Not available online]
Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grant ECCS: 9970890 ("GOALI: A Unified Treatment of Belief, Utility, and Action"). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation.
Bibliographic Information:
In Emergent neural computational architectures based on neuroscience, J. Austin, S. Wermter, and D. Wilshaw (Eds.), pp. 348-367, Springer-Verlag
Bibliographic Reference:
L. Shastri. Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation. In Emergent neural computational architectures based on neuroscience, J. Austin, S. Wermter, and D. Wilshaw (Eds.), pp. 348-367, Springer-Verlag, 2001
Author: L. Shastri
Group: AI
Date: 2001
PDF: [Not available online]
Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grant ECCS: 9970890 ("GOALI: A Unified Treatment of Belief, Utility, and Action"). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation.
Bibliographic Information:
In Emergent neural computational architectures based on neuroscience, J. Austin, S. Wermter, and D. Wilshaw (Eds.), pp. 348-367, Springer-Verlag
Bibliographic Reference:
L. Shastri. Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation. In Emergent neural computational architectures based on neuroscience, J. Austin, S. Wermter, and D. Wilshaw (Eds.), pp. 348-367, Springer-Verlag, 2001