Abstract
The hardware layer of the Si elegans EU FP7 project is a massively parallel architecture designed to accurately emulate the C. elegans nematode in biological realtime. The C. elegans nematode is one of the simplest and well characterized Biological Nervous Systems (BNS) yet many questions related to basic functions such as movement and learning remain unanswered. The hardware layer includes a Hardware Neural Network (HNN) composed of 302 FPGAs (one per neuron), a Hardware Muscle Network (HMN) composed of 27 FPGAs (one per 5 muscles) and one Interface Manager FPGA, which is physically connected through 2 Local Area Networks (LANs) and through an innovative 3D optical connectome. Neuron structures (gap junctions and synapses) and muscles are modelled in the design environment of the software layer and their simulation data (spikes, variable values and parameters) generate data packets sent across the Local Area Networks (LAN). Furthermore, a software layer gives the user a set of design tools giving the required flexibility and high level hardware abstraction to design custom neuronal models. In this paper the authors present an overview of the hardware layer, connections infrastructure and communication protocol.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | IEEE |
| Number of pages | 7 |
| ISBN (Print) | 978-1-4799-1959-8 |
| Publication status | Published (in print/issue) - 13 Jul 2015 |
| Event | 2015 International Joint Conference On Neural Networks (IJCNN) - Killarney, Ireland Duration: 13 Jul 2015 → … |
Conference
| Conference | 2015 International Joint Conference On Neural Networks (IJCNN) |
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| Period | 13/07/15 → … |
Keywords
- Field Programmable Gate Array (FPGA)
- C. elegans
- Hardware Neural Network(HNN)
- Biological Nervous System (BNS)
