Hardware decoding of thalamo-cortical reactions to sensory stimuli through pRAM neural network

We study functional connections between neurons of thalamus and cortex regions of the albino rat brain through their mutual conditional spiking probabilities. These probabilities are learnt by a special neural network, the pRAM hardware, which learns on-line these probabilities and selects the most relevant one w.r.t. the entropic criterion of efficiency mimic the actual spiking distribution. Both low-frequency and high-frequency analyses will be performed on the neural activity of the mentioned regions upon various recording scenarios to carry out specific recognition of specific stimuli