Invention Publication
- Patent Title: ANALOG NEUROMORPHIC CIRCUITS FOR DOT-PRODUCT OPERATION IMPLEMENTING RESISTIVE MEMORIES
-
Application No.: US18631003Application Date: 2024-04-09
-
Publication No.: US20240256847A1Publication Date: 2024-08-01
- Inventor: Chris Yakopcic , Tarek M. Taha , Md Raqibul Hasan
- Applicant: University of Dayton
- Applicant Address: US OH Dayton
- Assignee: University of Dayton
- Current Assignee: University of Dayton
- Current Assignee Address: US OH Dayton
- Main IPC: G06N3/065
- IPC: G06N3/065 ; G06F17/10 ; G06N3/045 ; G06N3/08 ; G11C11/54 ; G11C13/00

Abstract:
An analog neuromorphic circuit is disclosed having resistive memories that provide a resistance to each corresponding input voltage signal. Input voltages are applied to the analog neuromorphic circuit. Each input voltage represents a vector value that is a non-binary value included in a vector that is incorporated into a dot-product operation with weighted matrix values included in a weighted matrix. A controller pairs each resistive memory with another resistive memory. The controller converts each pair of resistance values to a single non-binary value. Each single non-binary value is mapped to a weighted matrix value included in the weighted matrix that is incorporated into the dot-product operation with the vector values included in the vector. The controller generates dot-product operation values from the dot-product operation with the vector and the weighted matrix where each dot-product operation is a non-binary value.
Information query