US 12,443,826 B2
Spike neural network circuit
Kwang Il Oh, Daejeon (KR); Tae Wook Kang, Daejeon (KR); Sung Eun Kim, Daejeon (KR); Hyuk Kim, Daejeon (KR); and Jae-Jin Lee, Daejeon (KR)
Assigned to ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed on May 31, 2022, as Appl. No. 17/829,021.
Claims priority of application No. 10-2021-0074329 (KR), filed on Jun. 8, 2021.
Prior Publication US 2022/0391669 A1, Dec. 8, 2022
Int. Cl. G06N 3/04 (2023.01); G06N 3/049 (2023.01); G06N 3/06 (2006.01); G06N 3/065 (2023.01)
CPC G06N 3/049 (2013.01) [G06N 3/065 (2023.01)] 15 Claims
OG exemplary drawing
 
1. A spike neural network (SNN) circuit comprising:
a spike generator configured to receive an input spike signal and to convert the input spike signal into a sub-spike signal and a main spike signal;
a synaptic circuit configured to generate an operation signal based on a weight and to output the operation signal in response to the main spike signal;
a membrane capacitor configured to accumulate the operation signal; and
a potential correction circuit configured to correct an output terminal voltage of the synaptic circuit based on a voltage of the membrane capacitor in response to the sub-spike signal.