John Mixter

According to our database, John Mixter authored at least 4 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

RANC: Reconfigurable Architecture for Neuromorphic Computing.

Joshua Mack, Ruben Purdy, Kris Rockowitz, Michael Inouye, Edward Richter, Spencer Valancius, Nirmal Kumbhare, Md Sahil Hassan, Kaitlin Lindsay Fair, John Mixter, Ali Akoglu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

2020

Growing Artificial Neural Networks.

John Mixter, Ali Akoglu

CoRR, 2020

FPGA Based Emulation Environment for Neuromorphic Architectures.

Spencer Valancius, Edward Richter, Ruben Purdy, Kris Rockowitz, Michael Inouye, Joshua Mack, Nirmal Kumbhare, Kaitlin Lindsay Fair, John Mixter, Ali Akoglu

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2018

Balancing the learning ability and memory demand of a perceptron-based dynamically trainable neural network.

Edward Richter, Spencer Valancius, Josiah McClanahan, John Mixter, Ali Akoglu

J. Supercomput., 2018