Cargando…
Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity
A major puzzle in the field of computational neuroscience is how to relate system-level learning in higher organisms to synaptic plasticity. Recently, plasticity rules depending not only on pre- and post-synaptic activity but also on a third, non-local neuromodulatory signal have emerged as key cand...
Autores principales: | Potjans, Wiebke, Morrison, Abigail, Diesmann, Markus |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996144/ https://www.ncbi.nlm.nih.gov/pubmed/21151370 http://dx.doi.org/10.3389/fncom.2010.00141 |
Ejemplares similares
-
Is a 4-Bit Synaptic Weight Resolution Enough? – Constraints on Enabling Spike-Timing Dependent Plasticity in Neuromorphic Hardware
por: Pfeil, Thomas, et al.
Publicado: (2012) -
An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning
por: Potjans, Wiebke, et al.
Publicado: (2011) -
Meeting the Memory Challenges of Brain-Scale Network Simulation
por: Kunkel, Susanne, et al.
Publicado: (2012) -
Neuromodulation Enables Temperature Robustness and Coupling Between Fast and Slow Oscillator Circuits
por: Städele, Carola, et al.
Publicado: (2022) -
The Role of Neuromodulators in Cortical Plasticity. A Computational Perspective
por: Pedrosa, Victor, et al.
Publicado: (2017)