{"id":48,"date":"2024-07-08T13:43:56","date_gmt":"2024-07-08T17:43:56","guid":{"rendered":"https:\/\/carleton.ca\/share\/?page_id=48"},"modified":"2026-08-27T18:35:24","modified_gmt":"2026-08-27T22:35:24","slug":"resources","status":"publish","type":"page","link":"https:\/\/carleton.ca\/share\/resources\/","title":{"rendered":"Resources"},"content":{"rendered":"

<\/p>\n

\n
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SHaRe Lab<\/div>\n

Resources<\/h1>\n

A curated entry point to SHaRE-generated research outputs and the tools, datasets, and references most relevant to our work.<\/p>\n<\/section>\n

\n

SHaRe Open Research<\/h2>\n

Datasets, code, tools, and reusable artifacts produced by SHaRe research projects.<\/p>\n

\n
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Dataset<\/div>\n

HFlow320<\/a><\/h3>\n
Event-Based Human Motion Optical Flow Dataset developed as part of the lab’s event-based vision and optical-flow research.<\/div>\n<\/div>\n
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Software<\/div>\n

symnoise<\/h3>\n
Open-source Python implementation of Symbolic Noise Analysis for analytical treatment of noise and finite-precision effects in datapaths.<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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Neuromorphic & SNN Tools<\/h2>\n
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Software<\/div>\n

snnTorch<\/a><\/h3>\n
PyTorch-based framework for trainable SNNs, spike encoding, surrogate gradients, and neuromorphic datasets.<\/div>\n<\/div>\n
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Software<\/div>\n

Brian 2<\/a><\/h3>\n
Equation-based Python simulator for spiking neurons, synapses, and dynamical systems.<\/div>\n<\/div>\n
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Software<\/div>\n

Nengo<\/a><\/h3>\n
Neural-modelling ecosystem for dynamical systems, cognitive models, and neuromorphic back ends.<\/div>\n<\/div>\n
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Software<\/div>\n

Lava<\/a><\/h3>\n
Open framework for neuro-inspired algorithms and neuromorphic applications.<\/div>\n<\/div>\n
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Software<\/div>\n

Tonic<\/a><\/h3>\n
PyTorch-compatible loaders and transforms for event-based vision and audio datasets.<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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Hardware & Architecture References<\/h2>\n
\n
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FPGA<\/div>\n

AMD Vivado<\/a><\/h3>\n
FPGA design, implementation, timing, and verification documentation.<\/div>\n<\/div>\n
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Architecture<\/div>\n

RISC-V Specifications<\/a><\/h3>\n
Open ISA specifications and reference material for RISC-V systems and extensions.<\/div>\n<\/div>\n
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Security<\/div>\n

OpenTitan<\/a><\/h3>\n
Open-source hardware root-of-trust platform and security documentation.<\/div>\n<\/div>\n
\n
Physical AI<\/div>\n

ROS 2<\/a><\/h3>\n
Middleware and integration framework for robotics and Physical AI systems.<\/div>\n<\/div>\n<\/div>\n<\/section>\n
\n

Memristors & Emerging Devices<\/h2>\n

Resources related to memristive devices, synaptic circuits, in-memory computing, and emerging-device implementations relevant to SHaRe research.<\/p>\n

\n
\n
SHaRe Research<\/div>\n

Memristive Associative Learning<\/h3>\n
Memristor-based circuits for biologically inspired associative learning and synaptic behaviour.<\/p>\n
Google Scholar \u2192<\/a><\/div>\n<\/div>\n<\/div>\n
\n
SHaRe Research<\/div>\n

Compact Memristor Models<\/h3>\n
Hardware-oriented compact models for circuit simulation, device-aware architecture exploration, and neuromorphic implementations.<\/p>\n
Google Scholar \u2192<\/a><\/div>\n<\/div>\n<\/div>\n
\n
Fundamentals<\/div>\n

Memristive Devices & In-Memory Computing<\/h3>\n
Device characteristics, crossbar computing, non-idealities, synaptic functions, and memory-centric architectures for AI and neuromorphic systems.<\/p>\n
Major literature \u2192<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n
\n

Event-Based Sensing & Datasets<\/h2>\n
\n
\n
Dataset<\/div>\n

DSEC<\/a><\/h3>\n
Stereo event-camera driving dataset for optical flow, disparity, and autonomous-systems research.<\/div>\n<\/div>\n
\n
Event Vision<\/div>\n

Prophesee Resources<\/a><\/h3>\n
Event-camera software, examples, datasets, and tutorials.<\/div>\n<\/div>\n
\n
Dataset<\/div>\n

Tonic Dataset Collection<\/a><\/h3>\n
Access to N-MNIST, DVS Gesture, CIFAR10-DVS, event-based audio, and other benchmarks.<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

SHaRe Lab Resources A curated entry point to SHaRE-generated research outputs and the tools, datasets, and references most relevant to our work. SHaRe Open Research Datasets, code, tools, and reusable artifacts produced by SHaRe research projects. Dataset HFlow320 Event-Based Human Motion Optical Flow Dataset developed as part of the lab’s event-based vision and optical-flow research. […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"yoast_head":"\nResources - Specific-domain Hardware Research Laboratory<\/title>\n<meta name=\"description\" content=\"SHaRe Lab Resources A curated entry point to SHaRE-generated research outputs and the tools, datasets, and references most relevant to our work. 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