Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity

Frontiers in Computational Neuroscience

Volumn 5, Issue , 2011, Pages

  Tetzlaff, Christian ^a,b,c   Kolodziejski, Christoph ^a,b,c   Timme, Marc ^a,b,c   Wörgötter, Florentin ^a,c  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

^b MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^c BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

Author keywords

Homeostasis; Neural network; Plasticity; Synapse

Indexed keywords

NEURAL NETWORKS; PLASTICITY; RECONFIGURABLE HARDWARE;

ACTIVATION PATTERNS; HOMEOSTASIS; LONG TERM DEPRESSION; NETWORK CONNECTIVITY; RECURRENT NETWORKS; SYNAPSE; SYNAPTIC MODIFICATION; SYNAPTIC PLASTICITY;

COMPLEX NETWORKS;

BEHAVIOR; EXPERIMENTAL MODEL; EXPERIMENTAL STUDY; LEARNING; MODEL; PLASTICITY; STORAGE; SYNAPSE;

EID: 84861214556     PISSN: None     EISSN: 16625188     Source Type: Journal    
DOI: 10.3389/fncom.2011.00047     Document Type: Article

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