Name
Abstract | ||
|---|---|---|
A realistic model of activity dependent dynamical synapses is used to study the conditions in which a postsynaptic neuron detects temporal coincidences of spikes arriving from N different afferents. We analyse the interaction between synaptic depression and facilitation, which are known to be important short-term mechanisms for synaptic transmission. Compared with the case of only depressing synapses, our results show that facilitation improves the detection of correlated signals arriving from a subset of presynaptic excitatory neurons, as well as presynaptic firing-rate changes. In addition, facilitation determines the existence of an input-frequency value which allows the best performance for a wide (maximum) range of the neuron firing threshold. This fact could be important for the detection of relevant information in neural systems constituted by neurons which show a high variability in the firing thresholds, as occurs in some cortical areas. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.neucom.2006.10.097 | Neurocomputing |
Keywords | Field | DocType |
synaptic depression,presynaptic excitatory neuron,activity dependent dynamical synapsis,synaptic transmission,short-term depression and facilitation,neuron firing threshold,presynaptic firing-rate change,spike coincidence detection,firing threshold,n different afferents,important short-term mechanism,postsynaptic neuron,coincidence detection | Synapse,Neurotransmission,Facilitation,Postsynaptic potential,Excitatory postsynaptic potential,Artificial intelligence,Coincidence detection in neurobiology,Neuron,Neural facilitation,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
70 | 10-12 | Neurocomputing |
Citations | PageRank | References |
3 | 0.43 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jorge F. Mejías | 1 | 38 | 5.30 |
| Joaquín J. Torres | 2 | 142 | 19.57 |