How much can one neuron learn? - An investigation of the learning of multiple precise I/O spike train associations.
Carnell, A., 2008. Neural Networks, submitted.

An analysis of the use of Hebbian and Anti-Hebbian Spike Time Dependent Plasticity learning functions within the context of recurrent spiking neural networks.
Carnell, A., 2008. Neurocomputing, accepted.

Parallel computation in spiking neural nets.
Carnell, A. & Richardson, D., 2007. Theor. Comput. Sci, 386(1-2), p.57-72.

Linear algebra for time series of spikes.
Carnell, A. & Richardson, D., 2005. Proc. ESANN 2005, Bruges, Belgium, 27-29 April 2005, p.363-368.

Home