Can excitable media be considered as computational systems?
Selcted papers from a meeting on Waves and pattern in chemical and biological media
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic
IEEE Transactions on Pattern Analysis and Machine Intelligence
| Hi-index | 0.00 |
In this work, we checked the possibility of using Biological Neural Networks to analyse the complex multi-dimensional features for purposes of data recognition and classification. We investigated a recently proposed model 'Liquid State Machine (LSM) using spiking neural network' and its applicability for recognition of the 'handwritten signature problem'. This project includes complex data analysis, adaptation of visual features to the neural microcircuit and comparison of the results with baseline algorithms. Experiments show that 90% correct classification rate can be achieved on a database of over 8000 signature images.