This model integrates the relevant physiological and anatomical data from frontal,I would like to thank Ray Singh for his preliminary work on the high-level learning algorithm and John Conklin for his invalu-able assitance in implementing the circular convolution operation with spiking neurons. ...
mirroring an analogous result for layered networks of rate\nneurons.\nWhile supervised learning in spiking neural networks is not yet fit for\ntechnical purposes, exploring computational properties of spiking neural\nnetworks advances our understanding of how computations can be done with spike\ntrains...
The ears of crickets are located in the forelegs; neurons within the corresponding prothoracic ganglion perform some preprocessing, in particular lateral inhibition that enhances directional cues (Wohlers and Huber1982; Wiese and Eilts1985). The cellular basis of lateral inhibition has been investigated...
This is done by combining the ReSuMe learning algorithm with multiplicative scaling of the connections of downstream neurons. We show in particular that layered networks with one hidden layer can learn the basic logical operations, including Exclusive-Or, while networks without hidden layer cannot, ...
Probability scores can be derived internal to the model and its computations if the expectations are explicit, such as with the use of symbolic logic in the formal expression of concepts [23,24], while another is to have a judge that is external to the model, such as by verification ...