The Center for Brain-inspired Computing Enabling Autonomous Intelligence, or C-BRIC, is a five-year project supported by $32 million in funding from the Semiconductor Research Corp. (SRC) via its Joint University Microelectronics Program, which provides funding from a consortium of industrial sponsors as well as from the Defense Advanced Research Projects Agency. The SRC operates research programs in the United States and globally that connect industry to university researchers, deliver early results to enable technological advances, and prepare a highly-trained workforce for the semiconductor industry.

The mission of the Center for Brain-inspired Computing (C-BRIC) is to deliver key advances in cognitive computing, with the goal of enabling a new generation of autonomous intelligent systems such as self-flying drones and interactive personal robots.

To address these challenges, C-BRIC will co-develop the next generation of neuro-inspired algorithms and theory, neuromorphic computing fabrics and distributed intelligence. We will leverage application drivers and cutting-edge testbeds already available with the PIs to provide context to the center’s research and evaluate its outcomes.

By bringing together a unique team of leading researchers from the fields of machine learning, computational neuroscience, theoretical computer science, neuromorphic hardware, distributed computing, robotics and autonomous systems, C-BRIC will pursue quantum improvements in cognitive systems that will be difficult for these communities to achieve independently.

The following ten universities have come together to pursue the goals of C-BRIC:


The center’s research is organized into the following themes: (1) Neuro-inspired Algorithms and Theory, (2) Neuromorphic Fabrics, (3) Distributed Intelligence, and (4) Application Drivers.

Click the theme title for more information about the theme and the researchers on that team.

brain icon Theme 1: Neuro-inspired Algorithms & Theory
  • Robust & efficient learning algorithms (beyond deep learning)
  • From perception to inference, decision making & control
  • Theoretical underpinnings of neuromorphic computing
microchip icon Theme 2: Neuromorphic Fabrics
  • Neuromorphic architectures & computing fabrics
  • Programming models & frameworks
  • Neuro-mimetic circuits & devices
Cloud with Arrows Icon Theme 3: Distributed Intelligence
  • Distributed cognitive processing (edge/hub/cloud, peer-to-peer)
  • Multi-modal cognition
  • Cognition on compressed data (communication-optimized)
microchip with the letters AI Icon Theme 4: Application Drivers
  • Self-flying drones
  • Personalized robots


CVPR 2023 Workshop on Event-based Vision, Kaushik Roy, Purdue

Advances in the quest to understand intelligence, Tomaso Poggio, MIT

Thoughts on Learning Theory, Tomaso Poggio, MIT

New Semiconductor Panel Discussion, Purdue Engineering with Anand Raghunathan

Reverse Engineering Visual Intelligence, James DiCarlo, MIT

CIM-SECDED: A 40nm 64Kb Compute In-Memory RRAM Macro with ECC Enabling Reliable Operation, Brian Crafton, Georgia Tech

In-Memory Computing based Machine Learning Accelerators: Opportunities and Challenges, Kaushik Roy, Purdue

The Science and Engineering of Intelligence, Tomaso Poggio, MIT

A Theory of Deep Learning: Explaining the Approximation, Optimization and Generalization Puzzles: Part 1, Tomaso Poggio, MIT

PODCAST: Brainy AI, Tomaso Poggio, MIT

Processing-in-Memory Architectures for Deep Learning and Graph Applications, Vijaykrishnan Narayanan, Penn State

Energy-Efficient, Robust and Interpretable Neuromorphic Computing Through Algorithm-Hardware Co-Design, Priya Panda, Yale

Rethinking Computing with Neuro-Inspired Learning: Algorithms, Architecture, Devices, Kaushik Roy, Purdue

Re-engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems, Kaushik Roy, Purdue

Re-engineering Computing with Spike-based Learning: Algorithms, Architecture, and Devices, Kaushik Roy, Purdue

Reverse engineering visual intelligence, Jim Dicarlo, MIT

Introduction to Brains, Minds and Machine, Tomaso Poggio, MIT

Seed to Success video, Kaushik Roy, Purdue

Reengineering Computing for Next Generation Autonomous Intelligent Systems: Devices, Circuits and Algorithms, Kaushik Roy, Purdue

C-BRIC Launches

Our Team

  • Jim DiCarlo Jim DiCarlo
    Department Head and Peter de Florez Professor of Neuroscience, Brain and Cognitive Sciences
    Massachusetts Institute of Technology
  • Dan Hammerstrom Dan Hammerstrom
    Theme 1 leader
    Professor Emeritus of Electrical and Computer Engineering
    Portland State University
    Dan's Webpage    Biography
  • Vijay Kumar Vijay Kumar Theme 4 leader
    Nemirovsky Family Dean of Engineering and Professor of Mechanical Engineering & Applied Mechanics
    University of Pennsylvania
    Vijay's Webpage    Biography
  • Vijay Narayanan Vijay Narayanan
    Theme 3 leader
    Robert Noll Chair Professor of Computer Science and Engineering
    Pennsylvania State University
    Vijay's Webpage    Biography
  • Arijit Raychowdhury Arijit Raychowdhury
    Theme 2 leader
    Steve W. Chaddick School Chair and Motorola Solutions Foundation Professor of Electrical & Computer Engineering
    Georgia Institute of Technology
    Arijit's Webpage    Biography

Contact Us

C-BRIC is located in the Department of Electrical Engineering on the West Lafayette campus of Purdue University.
For additional information about the Center, please contact: C-BRIC@purdue.edu.

Address of C-BRIC:
  • Center for Brain-Inspired Computing
  • Electrical Engineering Building
  • 465 Northwestern Ave.
  • West Lafayette, Indiana 47907-2035

Our Staff includes:

  • Chamika Liyanagedera Chamika Liyanagedera
    Postdoctoral Research Assistant

  • Nicole Piegza Nicole Piegza
    Research Operations Manager

  • Buddhi Wickramasinghe Buddhi Wickramasinghe
    Postdoctoral Researcher


Address of C-BRIC:

  • Center for Brain-Inspired Computing
  • Electrical Engineering Building
  • 465 Northwestern Ave.
  • West Lafayette, Indiana 47907-2035
Copyright © 2017-2018 - Purdue University College of Engineering - C-BRIC. All Rights Reserved.