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Dynamically Reconfigurable Neurons

Dynamically Reconfigurable Neurons. This presentation summaries the progression achieved up to date. Artificial Neural Networks Implementing the ANNs on FPAA using Anadigm Designer Software Literature Review Switching Capacitor PAMA Paper.

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Dynamically Reconfigurable Neurons

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  1. Dynamically Reconfigurable Neurons

  2. This presentation summaries the progression achieved up to date. • Artificial Neural Networks • Implementing the ANNs on FPAA using Anadigm Designer Software • Literature Review • Switching Capacitor • PAMA Paper

  3. This presentation summaries the progression achieved up to date. • Figuring out Pin-outs • MUX Board Testing • Dealing with NIDAQ • Dealing with Amplicon DIO

  4. Artificial Neural Network

  5. Artificial Neural Network

  6. Artificial Neural Network Simulation of an SNN

  7. FPAA – Anadigm Designer

  8. FPAA – Anadigm Designer

  9. FPAA – Anadigm Designer

  10. FPAA – Anadigm Designer

  11. FPAA – Anadigm Designer

  12. Literature Review • Switched Capacitor (SC) is a circuit made of one capacitor and two switches which connect the capacitor with a given frequency alternately to the input an output of the SC. This simulates the behaviors of a resistor, so SCs are used in integrated circuits instead of resistors. The resistance is set by the frequency. • PAMA Paper

  13. Pin Outs • Figuring out • MUX Board pin-outs • Base Board pin-outs • Amplicon Connector pin-outs

  14. MUX Board Testing • Dealing with NIDAQ • Installing NIDAQ Software • Playing with NI own example code • Searching on the net for more suitable code which is easier to understand and easy to apply • Programming NIDAQ, i.e Reading and Writing Voltages Successfully

  15. MUX Board Testing • Dealing with Amplicon PCI 272 Device • PC Setup, Software Installation • Working through the VB code to control the card • Use of Amplicon Device in the Project • Address bits and WR line bits

  16. Plans for Next 2 Months • Implementing the MUX Boards to the FPAA • To be completed by mid-February • Implementation of MUX Board with ANNs • To be completed by the end of February • Writing the GA code to establish the Dynamic connections among neurons • Writing the GA code to establish the Dynamic connections among neurons

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