CONTEXTUAL REAL-TIME FEEDBACK FOR NEUROMORPHIC MODEL DEVELOPMENT

• US 20150262061A1
• Filed: 09/12/2014
• Published: 09/17/2015
• Est. Priority Date: 03/14/2014
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: BEHABADI, Bardia Fallah, BERNARTE, Joel Simbulan, HALL, Eric Martin, WIERZYNSKI, Casimir Matthew, KONERTZ, Anne Katrin, ROMERA JOLLIFF, Maria Elena, SMOOT, Michael Elliott, BERLING, Jonathan Neal
• Application Number:
  US14/485,501
• Publication Number:
  US 20150262061A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06N 3/049 Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
• CPC Class Codes: G06N 3/10 Interfaces, programming languages or software development kits, e.g. for simulating neural networks

Abstract

A method includes generating contextual feedback in a neuromorphic model. The neuromorphic model includes one or more assets to be monitored during development of the neuromorphic model. The method further includes displaying an interactive context panel to show a representation based on the contextual feedback.

Claims

1. A method comprising:

generating contextual feedback in a neuromorphic model comprising at least one asset to be monitored during development of the neuromorphic model; and

displaying an interactive context panel to show a representation based at least in part on the contextual feedback.

2. The method of claim 1, further comprising updating the interactive context panel based on execution of the model.

3. The method of claim 1, in which the representation occurs in real time.

4. The method of claim 1, further comprising manipulating the interactive context panel to update code corresponding to the neuromorphic model.

5. The method of claim 1, further comprising updating code corresponding to the neuromorphic model to update the interactive context panel.

6. The method of claim 1, in which the interactive context panel shows contextual information for parameters related to dynamics of the neuromorphic model.

7. The method of claim 1, in which the representation includes a visual display of at least one of a layout of one or more neurons in the neuromorphic model or a connectivity of neurons in the neuromorphic model.

8. The method of claim 1, in which the contextual feedback includes information relative to a hardware layout for the neuromorphic model.

9. The method of claim 8, in which the information comprises at least one of power consumption or computational load.

10. An apparatus, comprising:

a memory; and

at least one processor coupled to the memory, the at least one processor being configured;

to generate contextual feedback in a neuromorphic model comprising at least one asset to be monitored during development of the neuromorphic model; and

to display an interactive context panel to show a representation based at least in part on the contextual feedback.

11. The apparatus of claim 10, in which the at least one processor is further configured to update the interactive context panel based on execution of the model.

12. The apparatus of claim 10, in which the at least one processor is further configured to display the representation in real time.

13. The apparatus of claim 10, in which the at least one processor is further configured to manipulate the interactive context panel to update code corresponding to the neuromorphic model.

14. The apparatus of claim 10, in which the at least one processor is further configured to update code corresponding to the neuromorphic model to update the interactive context panel.

15. The apparatus of claim 10, in which the interactive context panel shows contextual information for parameters related to dynamics of the neuromorphic model.

16. The apparatus of claim 10, in which the representation includes a visual display of at least one of a layout of one or more neurons in the neuromorphic model or a connectivity of neurons in the neuromorphic model.

17. The apparatus of claim 10, in which the contextual feedback includes information relative to a hardware layout for the neuromorphic model.

18. The apparatus of claim 17, in which the information comprises at least one of power consumption or computational load.

19. An apparatus comprising:

means for generating contextual feedback in a neuromorphic model comprising at least one asset to be monitored during development of the neuromorphic model; and

means for displaying an interactive context panel to show a representation based at least in part on the contextual feedback.

20. A computer program product, comprising:

a non-transitory computer readable medium having encoded thereon program code, the program code comprising;

program code to generate contextual feedback in a neuromorphic model comprising at least one asset to be monitored during development of the neuromorphic model; and

program code to display an interactive context panel to show a representation based at least in part on the contextual feedback.