Duty Cycle Maintenance in an Artificial Neuron
نویسندگان
چکیده
Neuroprosthetics is at the intersection of neuroscience, biomedical engineering, and physics. A biocompatible neuroprosthesis contains artificial neurons exhibiting biophysically plausible dynamics. Hybrid systems analysis could be used to prototype such artificial neurons. Biohybrid systems are composed of artificial and living neurons coupled via real-time computing and dynamic clamp. Model neurons must be thoroughly tested before coupled with a living cell. We use bifurcation theory to identify hazardous regimes of activity that may compromise biocompatibility and to identify control strategies for regimes of activity desirable for functional behavior. We construct real-time artificial neurons for the analysis of hybrid systems and demonstrate a mechanism through which an artificial neuron could maintain duty cycle independent of variations in period. INDEX WORDS: Hybrid systems, Real time systems, Hodgkin huxley, Neuronal dynamics, Electrophysiology, Dynamic clamp, Medicinal leech, Central pattern generator, Half center oscillator, Heartbeat, Bifurcation theory, DUTY CYCLE MAINTENANCE IN AN ARTIFICIAL NEURON
منابع مشابه
Contribution of synaptic depression to phase maintenance in a model rhythmic network.
In many rhythmic neuronal networks that operate in a wide range of frequencies, the time of neuronal firing relative to the cycle period (the phase) is invariant. This invariance suggests that when frequency changes, firing time is precisely adjusted either by intrinsic or synaptic mechanisms. We study the maintenance of phase in a computational model in which an oscillator neuron (O) inhibits ...
متن کاملTheoretical Analysis of Transcranial Magneto-Acoustical Stimulation with Hodgkin-Huxley Neuron Model
Transcranial magneto-acoustical stimulation (TMAS) is a novel stimulation technology in which an ultrasonic wave within a magnetostatic field generates an electric current in an area of interest in the brain to modulate neuronal activities. As a key part of the neural network, neurons transmit information in the nervous system. However, the effect of TMAS on the neuronal firing pattern remains ...
متن کاملAn application of artificial neural network to maintenance management
This study shows the usefulness of Artificial Neural Network (ANN) in maintenance planning and man-agement. An ANN model based on the multi-layer perceptron having three hidden layers and four processing elements per layer was built to predict the expected downtime resulting from a breakdown or a maintenance activity. The model achieved an accuracy of over 70% in predicting the expected downtime.
متن کاملA JOINT DUTY CYCLE SCHEDULING AND ENERGY AWARE ROUTING APPROACH BASED ON EVOLUTIONARY GAME FOR WIRELESS SENSOR NETWORKS
Network throughput and energy conservation are two conflicting important performance metrics for wireless sensor networks. Since these two objectives are in conflict with each other, it is difficult to achieve them simultaneously. In this paper, a joint duty cycle scheduling and energy aware routing approach is proposed based on evolutionary game theory which is called DREG. Making a trade-off ...
متن کاملControl of bursting properties in a silicon neuron CPG
We have developed a silicon neuron based on a heart interneuron of the leech. We created a half-center oscillator composed of two silicon neurons connected via inhibitory synapses implemented through dynamic clamp. We investigated the e-ects of symmetrical variations of maximal conductances on bursting behavior. Burst period, average burst spike frequency, and duty cycle were chosen as major ch...
متن کامل