Creating functional neural control circuits incorporating both discrete-time, map based neuron and Hindmarsh Rose electronic neurons

Title:
Creating functional neural control circuits incorporating both discrete-time, map based neuron and Hindmarsh Rose electronic neurons
Creator:
Knudsen, Daniel (Author)
Language:
English
Publisher:
May 01, 2006
Type of resource:
Text
Genre:
Other
Format:
electronic
Digital origin:
born digital
Abstract/Description:

Unit central pattern generators (CPGs) were created using two different types of modeled neurons. Three basic central pattern-generating networks were created for each of two separate types of modeled neurons. First, UCSD analog electronic neurons (ENs) based on the three Hindmarsh-Rose differential equations, plus a fourth differential equation developed at UCSD, were used to build an endogenous pacemaker network, a reciprocal half center network, and a recurrent cyclic inhibitory network. These electronic neurons are a biologically realistic phenomenological model, but are computationally intensive and difficult to prototype with. The three CPG types were then also created using discrete-time map-based neurons (MBNs), which are computationally less intensive, and also less biologically accurate. Finally, networks were created using both artificial neuron types, showing the possibility for creating hybrid circuits for the control of robotics or neural prosthetics that can benefit from the biological realism of the ENs and the computational efficiency of the MBNS.

Subjects and keywords:
Behavioral Neuroscience
Neuroscience
Permanent URL:
http://hdl.handle.net/2047/d10006357

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