Connectomes derived from volume EM imaging of the brain can generate detailed physical models every neuron, and simulators such as NEURON or GENESIS are designed to work with models. In principal, combining these technologies, plus transmitter channel models, should allow accurate simulation real neural circuits. Here we experiment this combination, using a well-studied system (motion detection...

<p style='text-indent:20px;'>Experimental observations suggest that gamma oscillations are enhanced by the increase of difference between components external stimuli. To explain these experimental observations, we firstly construct a small excitatory/inhibitory (E/I) neural network IAF neurons with current input to E-neuron population differing from I-neuron population. Simulation results...

Abstract One of the main problems connected with neural networks is synchronization. We examine a model network time-varying delay and also case when connection weights (the influential strength j j th neuron to i i neuron) are variable in time unbounded. The rate change dynamics all neurons described by C...

Abstract We experimentally demonstrate the emulation of scaling semiconductor optical amplifier (SOA) based integrated all-optical neural network in terms number input channels and layer cascade, with chromatic at neuron monochromatic output conversion, obtained by exploiting cross-gain-modulation effect. propose a noise model for investigating signal degradation on processing after cascades SO...