Brief pauses as signals for depressing synapses

Neurocomputing

Volumn 26-27, Issue , 1999, Pages 1-7

  Bethge, Matthias ^a   Pawelzik, Klaus ^a   Geisel, Theo ^b  

^a UNIVERSITY OF BREMEN   (Germany)

^b MPI for Fluid Dynamics   (Germany)

Author keywords

Dynamic synapses; Neural code; Neural networks; Synaptic signaling; Synchrony

Indexed keywords

ALGORITHMS; BIOELECTRIC POTENTIALS; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; FUNCTIONAL NEURAL STIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; NEUROPHYSIOLOGY; NUMERICAL ANALYSIS;

DEPRESSING SYNAPSES; NEURAL CODE; NEURONAL INFORMATION PROCESSING; SYNAPTIC SIGNALING; SYNAPTIC TRANSMISSION; SYNCHRONY;

MEDICAL COMPUTING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CODING; CORTICAL SYNCHRONIZATION; INFORMATION PROCESSING; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NERVE CONDUCTION; PRIORITY JOURNAL; SIGNAL DETECTION; SYNAPTIC INHIBITION;

EID: 0032879170     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(99)00082-X     Document Type: Article

References (4)

1. Abbott L.F., Varela J.A., Sen K., Nelson S.B. Synaptic depression and cortical gain control, Science. 275:1997;220-224.
2. Thomson A.M., Deuchars J. Trends Neurosci. 17:1994;119-126.
3. Tsodyks M.V., Markram H. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc. Natl. Acad. Sci. USA. 94:1997;719-723.
4. Tsodyks M.V., Pawelzik K., Markram H. Neural networks with dynamic synapses. Neural Comput. 10:1998;821-835.