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OER Materials

Modeling Scenario

1-098-NeuronDetection-ModelingScenario

Author(s): Joshua Goldwyn

Swarthmore College, Swarthmore PA USA

Keywords: biology neuroscience neuron physiology voltage integrate and fire threfhols coincidence detection RC circuit

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Abstract

Resource Image Students study a linear, first order, one-dimensional ordinary differential equation (ODE) and learn how it can help understand basics of neural dynamics. The modeling framework is known in mathematical neuroscience as ``integrate-and-fire'' neuron.

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Article Context

Resource Type
Differential Equation Type
Qualitative Analysis
Lesson Length
Technology
Approach
Skills
Key Scientific Process Skills
Pedagogical Approaches
Vision and Change Core Competencies - Ability
Bloom's Cognitive Level

Description

The form of the model is equivalent to the linear ODE used to describe the RC circuit.

This activity assumes familiarity with solving linear first order ODEs, for instance using the integrating factor method. Students are asked to set up and solve a homogeneous version of the equation and a nonhomogeneous version (constant forcing term).

Students are asked to set up ODEs (select initial values), solve the ODEs, and perform some related algebraic calculations.

Throughout, students are asked to interpret their results in light of biological experiments and biological terms that are explained in the activity.

There is a focus throughout on solving the ODE in the presence of unspecified parameters and interpreting how parameter values may affect response characteristics of biological neurons.

Outcomes of the project include: improved skill setting up and solving linear first order ODEs (including with unspecified parameters) and demonstrating how mathematical models can improve understanding of dynamic biological systems.

There is no requirement or expectation that students have experience with biology or neuroscience.

 

Article Files

Authors

Author(s): Joshua Goldwyn

Swarthmore College, Swarthmore PA USA

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