Biomedical subjects

Stephen P DeWeerth

Publications and source records attributed to Stephen P DeWeerth.

5 recordsLinked to original sources

PubMed2006

A comparative analysis of multi-conductance neuronal models in silico.

We demonstrate that a previously presented flexible silicon-neuron architecture can implement three disparate conductance-based neuron models with both fast and slow dynamics. By exploiting the real-time nature of this physical implementation, we mapped the model dynamics across a large region of parameter space. We also found that two of these dynamically different models represent points in a contiguous bursting space that spans between the two models. By systematically varying the model parameters, we also found that multiple, diverse trajectories in parameter space connected the two canonical bursting points. In addition, we found that the combination of parameter values keeps the neuron in the bursting region. These findings demonstrate the usefulness of the silicon-neuron architecture as a neural-modeling tool and illustrate its versatility as a platform for a multi-behavioral neuron that resembles its living analog.

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PubMed2006

An algorithmic method for reducing conductance-based neuron models.

Although conductance-based neural models provide a realistic depiction of neuronal activity, their complexity often limits effective implementation and analysis. Neuronal model reduction methods provide a means to reduce model complexity while retaining the original model's realism and relevance. Such methods, however, typically include ad hoc components that require that the modeler already be intimately familiar with the dynamics of the original model. We present an automated, algorithmic method for reducing conductance-based neuron models using the method of equivalent potentials (Kelper et al., Biol Cybern 66(5):381-387, 1992) Our results demonstrate that this algorithm is able to reduce the complexity of the original model with minimal performance loss, and requires minimal prior knowledge of the model's dynamics. Furthermore, by utilizing a cost function based on the contribution of each state variable to the total conductance of the model, the performance of the algorithm can be significantly improved.

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PubMed2006

Two-dimensional variation of bursting properties in a silicon-neuron half-center oscillator.

We are developing hardware models of central pattern generators (CPGs) to enhance neural prostheses, create biologically based controllers for autonomous machines, and to better understand how biology creates stable and robust movements. Previously, we designed and implemented an analog integrated circuit model of a neuron with Hodgkin-Huxley like dynamics, the silicon neuron. In this work, we use silicon neurons to implement a half-center oscillator and show that the underlying dynamics of this CPG produce bursting behaviors that are well matched to the biological counterpart on which our model is based. In addition, we demonstrate the robustness of the bursting behavior by systematically varying two parameters in each silicon neuron and mapping the corresponding effects on the bursting.

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PubMed2005

Mechanical trauma induces immediate changes in neuronal network activity.

During a traumatic insult to the brain, tissue is subjected to large stresses at high rates which often surpass cellular thresholds leading to cell dysfunction or death. The acute response of neurons to a mechanical trauma, however, is poorly understood. Plasma membrane disruption may be the earliest cellular outcome from a mechanical trauma. The increase in membrane permeability due to such disruptions may therefore play an important role in the initiation of deleterious cascades following brain injury. The immediate consequences of an increase in plasma membrane permeability on the electrophysiological behavior of a neuronal network exposed to the trauma have not been elucidated. We have developed an in vitro model of traumatic brain injury (TBI) that utilizes a novel device capable of applying stress at high rates to neuronal cells cultured on a microelectrode array. The mechanical insult produced by the device caused a transient increase in neuronal plasma membrane permeability, which subsided after 10 min. We were able to monitor acute spontaneous electrophysiological activity of injured cultures for at least 10 min following the insult. Firing frequency, average burst interval and spikes within burst were assessed before and after injury. The electrophysiological responses to the insult were heterogeneous, although an increase in burst intervals and in the variability of the assessed parameters were common. This study provides a multi-faceted approach to elucidate the role of neuronal plasma membrane disruptions in TBI and its functional consequences.

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PubMed2004

A multiconductance silicon neuron with biologically matched dynamics.

We have designed, fabricated, and tested an analog integrated-circuit architecture to implement the conductance-based dynamics that model the electrical activity of neurons. The dynamics of this architecture are in accordance with the Hodgkin-Huxley formalism, a widely exploited, biophysically plausible model of the dynamics of living neurons. Furthermore the architecture is modular and compact in size so that we can implement networks of silicon neurons, each of desired complexity, on a single integrated circuit. We present in this paper a six-conductance silicon-neuron implementation, and characterize it in relation to the Hodgkin-Huxley formalism. This silicon neuron incorporates both fast and slow ionic conductances, which are required to model complex oscillatory behaviors (spiking, bursting, subthreshold oscillations).

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