The major activity in the previous month was to set up a simulation environment to simulate a neural network which captures the features of the network we plan to culture and train . This will be used to study the behavior of the network , explore its computational properties and develop training protocols for
obtaining desired network behavior .
Such a network set up using the software 'NEURON' . 1000 LIF neurons are connected via synapses which model STDP and input frequency dependent characteristics . STDP is a mechanism by which the strength of synaptic connection between the two neurons is modulated by their relative firing times . This mechanism is hypothesized to help in learning. We try to exploit this feature to develop training protocols to teach the network to do what we want. Various parameters of the neuron , network and noise levels were set to match the reported value in previous works .
Using this setup we trained the network to perform some simple tasks. The next aim is to train the network to perform some moderately complex tasks.
Here is a link to the report which details some of the above tasks . And here is a presentation
obtaining desired network behavior .
Such a network set up using the software 'NEURON' . 1000 LIF neurons are connected via synapses which model STDP and input frequency dependent characteristics . STDP is a mechanism by which the strength of synaptic connection between the two neurons is modulated by their relative firing times . This mechanism is hypothesized to help in learning. We try to exploit this feature to develop training protocols to teach the network to do what we want. Various parameters of the neuron , network and noise levels were set to match the reported value in previous works .
Using this setup we trained the network to perform some simple tasks. The next aim is to train the network to perform some moderately complex tasks.
Here is a link to the report which details some of the above tasks . And here is a presentation
