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Real-Time fMRI Brain Mapping in Animals
Published on: September 24, 2020
The animat: new frontiers in whole brain modeling
Heather Ames1, Ennio Mingolla, Aisha Sohail
1Center of Excellence for Learning in Education, Science, and Technology, Boston University, Massachussetts, USA. heather.m.ames@gmail.com
IEEE Pulse
|February 21, 2012
Summary
Researchers are developing an artificial brain using memristive technology to create dense, low-power computer hardware. This new platform simulates rat behavior and controls robots, advancing neuromorphic computing.
Area of Science:
- Neuroscience and Computer Engineering
- Neuromorphic Computing
Background:
- Collaboration between Boston University (BU) and Hewlett-Packard (HP) focuses on advanced computer hardware.
- Leveraging memristive technology for dense, low-power computing.
Purpose of the Study:
- To implement neural models of intelligent processes for next-generation computer hardware.
- To design an optimal infrastructure, simulation, and software platform for building an artificial brain.
Main Methods:
- Development of the Cog Ex Machina (Cog) software platform.
- Implementation of a large-scale, multicomponent brain system.
- Simulation of rat behavioral results in a virtual environment.
Main Results:
- Successful implementation of the Cog software platform.
- Demonstrated simulation of key rat behaviors.
- Application of the system to control learning robotic platforms.
Conclusions:
- The Cog platform enables the creation of artificial brains.
- This approach advances neuromorphic engineering and artificial intelligence.
- Potential for developing sophisticated, learning robotic systems.
