Merge remote-tracking branch 'origin/main'

Author: neural-loop

content/contributors/chris-eliasmith/chris-eliasmith.jpg

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+---
+title: "Chris Eliasmith"
+description: "Professor, Canada Research Chair in Theoretical Neuroscience, and co-creator of the Nengo neural simulator. Research focuses on large-scale brain modelling and neuromorphic engineering."
+image: "chris-eliasmith.jpg"
+social:
+  - icon: "fa fa-house"
+    link: "https://watarts.uwaterloo.ca/~celiasmi/"
+    title: "website"
+  - icon: "fa-brands fa-github"
+    link: "https://github.com/ctn-waterloo"
+    title: "github"
+  - icon: "fa-solid fa-graduation-cap"
+    link: "https://scholar.google.com/citations?user=KOBO-6QAAAAJ&hl=en"
+    title: "scholar"
+draft: false
+---
+Chris Eliasmith is a Professor and Canada Research Chair in Theoretical Neuroscience at the University of Waterloo. He is a co-creator of the Nengo neural simulator, with research focusing on large-scale brain modelling, cognitive architectures, and neuromorphic engineering.

content/contributors/chris-eliasmith/index.md

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+---
+title: "Neuromorphic drivers"
+type: neuromorphic-software
+description: "Python and Rust libraries to interact with event cameras in real-time."
+logo: "neuromorphic-drivers.png"
+website: "https://github.com/neuromorphicsystems/neuromorphic-drivers"
+dependencies: "NumPy, Rust"
+field_of_application: "Drivers"
+source_code: "https://github.com/neuromorphicsystems/neuromorphic-drivers"
+pypi_id: "neuromorphic-drivers"
+license: "MIT"
+supports_hardware: false
+supports_NIR: false
+language: "Python, Rust"
+maintainer:
+  - "Alexandre Marcireau"
+draft: false
+---
+
+## Overview
+
+Neuromorphic drivers is a library to interact with USB event cameras in real-time. It is compatible with all major operating systems (Linux x64 and ARM, macOS x64 and ARM, and Windows x64) and it aims to support as many commercial devices as possible.
+
+The library can be used in Python and Rust.
+
+By design, Neuromorphic drivers provides no processing algorithms. It may instead be combined with other libraries (for instance [Tonic](/neuromorphic-computing/software/data-tools/tonic/) or [Faery](/neuromorphic-computing/software/data-tools/faery/) to build real-time processing pipelines.
+
+Neuromorphic drivers does not depend on Metavision, libcaer, or dv-processing. It instead uses its own implementation of the [cameras' USB protocols](https://github.com/neuromorphicsystems/neuromorphic-drivers/tree/main/drivers/src/devices). This approach facilitates cross-platform support and lets us ship lightweight [pre-compiled Python wheels](https://pypi.org/project/neuromorphic-drivers/#files), which means that Python users do not need specific shared libraries or a compiler toolchain on their machine.

content/neuromorphic-computing/software/data-tools/neuromorphic-drivers/index.md

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+---
+title: "The TSP1 Neuromorphic Chip: Advancing Brain-Inspired Computing"
+author:
+- "Chris Eliasmith"
+date: 2025-11-11
+start_time: "8:00"
+end_time: "9:00"
+time_zone: "EST"
+description: "Join Chris Eliasmith for an in-depth exploration of the TSP1 neuromorphic chip from Applied Brain Research. Learn about this groundbreaking hardware platform and its implications for brain-inspired computing."
+upcoming: true
+video: ""
+image: "ABR-TSP1-Chip.jpg"
+type: "workshops"
+show_author_bios: true
+hardware_tags: ["tsp1"]
+software_tags: ["nengo"]
+---
+
+## About This Workshop
+
+Join us for an exciting workshop featuring Dr. Chris Eliasmith as he presents the TSP1 neuromorphic chip, a cutting-edge hardware platform developed by Applied Brain Research. This event will provide insights into how neuromorphic computing can bridge the gap between artificial intelligence and biological neural systems.
+
+## What You'll Learn
+
+In this workshop, Dr. Eliasmith will cover:
+
+- **The TSP1 Architecture**: An overview of the TSP1 chip's unique design and capabilities
+- **Brain-Inspired Computing**: How the TSP1 embodies principles from neuroscience to create efficient, low-power computing solutions
+- **Real-World Applications**: Practical use cases where neuromorphic hardware like TSP1 excels, including edge computing, robotics, and adaptive systems
+- **Integration with Nengo**: How the TSP1 chip works seamlessly with the Nengo neural modeling framework
+- **Performance and Efficiency**: Comparisons with traditional computing architectures and insights into power consumption and speed
+
+## About the TSP1 Chip
+
+The TSP1 (Temporal Semantic Pointer 1) is a neuromorphic processor designed to efficiently implement the Neural Engineering Framework (NEF) and Semantic Pointer Architecture (SPA). Developed by Applied Brain Research, the TSP1 chip represents a significant advancement in brain-inspired computing hardware, offering:
+
+- **Ultra-low power consumption** suitable for edge deployment
+- **Real-time processing** of complex neural computations
+- **Scalable architecture** for building large-scale brain models
+- **Native support** for temporal dynamics and structured representations
+
+This hardware platform enables researchers and developers to deploy sophisticated cognitive models and neural networks in real-world applications where power efficiency and real-time performance are critical.
+
+## Who Should Attend
+
+This workshop is ideal for:
+
+- Researchers in neuromorphic computing and computational neuroscience
+- Engineers working on edge AI and embedded systems
+- Developers interested in brain-inspired computing platforms
+- Students exploring neuromorphic hardware and neural modeling
+- Anyone curious about the future of efficient AI computing
+
+## Prerequisites
+
+No specific prerequisites are required, though familiarity with neural networks and basic neuroscience concepts will enhance your understanding. Prior experience with Nengo is helpful but not necessary.
+
+## Resources
+
+- [Applied Brain Research Technology Page](https://www.appliedbrainresearch.com/technology)
+- [Nengo Neural Simulator](../../neuromorphic-computing/software/snn-frameworks/nengo/)
+- [Centre for Theoretical Neuroscience](https://uwaterloo.ca/centre-for-theoretical-neuroscience/)
+
+## Registration
+
+Registration details and the event link will be announced soon. Stay tuned for updates on how to join this exciting workshop!
+
+---
+
+*This workshop is part of the Open Neuromorphic community's ongoing series to showcase cutting-edge neuromorphic hardware and software platforms.*

content/neuromorphic-computing/software/data-tools/neuromorphic-drivers/neuromorphic-drivers.png

@@ -173,3 +173,10 @@ completed_issues = [ ]
   title = "Find new maintainer: Contact Gregor Lenz"
   url = "https://open-neuromorphic.org/contributors/gregor-lenz/"
   tags = [ ]
+
+[[projects]]
+name = "Neuromorphic Drivers"
+slug = "neuromorphic-drivers"
+repo = "https://github.com/neuromorphicsystems/neuromorphic-drivers"
+description = "Python and Rust libraries to interact with event cameras in real-time."
+completed_issues = [ ]