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Commonly used brain-inspired models assume that neurons in the network are silent until perturbed by external stimuli. This assumption has created a family of feedforward neural models that progressively detects complex features. However, experimental observations suggest that the brain is spontaneously active where neuronal activity is driven by internal fluctuations in total synaptic input leading...
Here we discuss synaptic temporal integrators capable of computing plasticity functions between principal neurons which are inhibitory to yield a useful network dynamic. We model inhibitory spike-timing-dependent plasticity (iSTDP), parameterized by two thresholds of a pre- and post-synaptic leaky integrator. Because inhibitory synapses between principal neurons do not occur onto spines, but instead...
We have developed a time-shift map of the brain, which shows/ visualizes signal such as EEG and MEG etc. is transmitted/ propagated at each brain part where in each frequency band action potential information of time-to-time is transmitted to and processed at exact remote portion. Assuming the memory is composed of loop neural circuit in the cerebral cortex, we have also shown a feasibility of self...
To explore the effect of concentration of Ca2+ on the short-term depression of neuronal microcircuitry in the prefrontal cortex (PFC), we recorded the inhibitory postsynaptic potentials (IPSPs) of Non-pyramidal-Pyramidal (NP-P) type of synaptic connections with stimulus of different frequencies in "normal" and "physiological" solution, and simulated the different activity potentials...
A use of auditory brainstem response in auditory disorder diagnosis is investigated in this paper leading to a proposed characterization method of the human auditory system. A modified nonlinear continuous time Hopfield neural type system is able to model the system yielding the simulated response in good agreement with the measured one. Both Simulink and PSpice simulation are investigated as well...
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