TY  - CHAP
AU  - Cristini, Alessandro
AU  - Salerno, Mario
AU  - Susi, Gianluca
A4  - Bassis, Simone
A4  - Esposito, Anna
A4  - Morabito, Francesco Carlo
PY  - 2015
DO  - 10.1007/978-3-319-18164-6_6
SN  - 9783319181639
SN  - 9783319181646
SN  - 2190-3018
SN  - 2190-3026
UR  - https://hdl.handle.net/20.500.14352/116519
AB  - In this work, a novel continuous-time spiking neural network paradigm is presented. Indeed, because of a neuron can fire at any given time, this kind of approach is necessary. For the purpose of developing a simulation tool having such a property, an...
LA  - eng
M2  - 49
PB  - Springer
KW  - Neuron Model
KW  - Spike Latency
KW  - Spiking Neural Network
KW  - Synaptic Plasticity
KW  - Continuous-Time Paradigm
KW  - Event-Driven Simulation
TI  - A Continuous-Time Spiking Neural Network Paradigm
TY  - book part
ER  -