A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores
| Title: | A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores |
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| Authors: | Aamir, Syed Ahmed, Müller, Paul, Kiene, Gerd, Kriener, Laura, Stradmann, Yannik, Grübl, Andreas, Schemmel, Johannes, Meier, Karlheinz |
| Publication Year: | 2018 |
| Collection: | Computer Science Physics (Other) Quantitative Biology |
| Subject Terms: | Quantitative Biology - Neurons and Cognition, Computer Science - Emerging Technologies, Physics - Biological Physics |
| More Details: | Here we describe a multi-compartment neuron circuit based on the Adaptive-Exponential I&F (AdEx) model, developed for the second-generation BrainScaleS hardware. Based on an existing modular Leaky Integrate-and-Fire (LIF) architecture designed in 65 nm CMOS, the circuit features exponential spike generation, neuronal adaptation, inter-compartmental connections as well as a conductance-based reset. The design reproduces a diverse set of firing patterns observed in cortical pyramidal neurons. Further, it enables the emulation of sodium and calcium spikes, as well as N-Methyl-D-Aspartate (NMDA) plateau potentials known from apical and thin dendrites. We characterize the AdEx circuit extensions and exemplify how the interplay between passive and non-linear active signal processing enhances the computational capabilities of single (but structured) on-chip neurons. Comment: 11 pages, 17 figures (including author photographs) |
| Document Type: | Working Paper |
| DOI: | 10.1109/TBCAS.2018.2848203 |
| Access URL: | http://arxiv.org/abs/1804.01840 |
| Accession Number: | edsarx.1804.01840 |
| Database: | arXiv |
| DOI: | 10.1109/TBCAS.2018.2848203 |
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