Enabling Technologies for Very Large-Scale Synaptic Electronics
An important part of the colossal effort associated with the understanding of the brain involves using electronics hardware technology in order to reproduce biological behavior in ‘silico’. The idea revolves around leveraging decades of experience in the electronics industry as well as new biologica...
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| Materialtyp: | Online |
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Frontiers Media SA
2021
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| _version_ | 1869519398259130368 |
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| author | Alexantrou Serb Themis Prodromakis |
| author_browse | Alexantrou Serb Themis Prodromakis |
| author_facet | Alexantrou Serb Themis Prodromakis |
| author_sort | Alexantrou Serb |
| collection | Directory of Open Access Books |
| description | An important part of the colossal effort associated with the understanding of the brain involves using electronics hardware technology in order to reproduce biological behavior in ‘silico’. The idea revolves around leveraging decades of experience in the electronics industry as well as new biological findings that are employed towards reproducing key behaviors of fundamental elements of the brain (notably neurons and synapses) at far greater speed-scale products than any software-only implementation can achieve for the given level of modelling detail. So far, the field of neuromorphic engineering has proven itself as a major source of innovation towards the ‘silicon brain’ goal, with the methods employed by its community largely focused on circuit design (analogue, digital and mixed signal) and standard, commercial, Complementary Metal-Oxide Silicon (CMOS) technology as the preferred `tools of choice’ when trying to simulate or emulate biological behavior. However, alongside the circuit-oriented sector of the community there exists another community developing new electronic technologies with the express aim of creating advanced devices, beyond the capabilities of CMOS, that can intrinsically simulate neuron- or synapse-like behavior. A notable example concerns nanoelectronic devices responding to well-defined input signals by suitably changing their internal state (‘weight’), thereby exhibiting `synapse-like’ plasticity. This is in stark contrast to circuit-oriented approaches where the `synaptic weight’ variable has to be first stored, typically as charge on a capacitor or digitally, and then appropriately changed via complicated circuitry. The shift of very much complexity from circuitry to devices could potentially be a major enabling factor for very-large scale `synaptic electronics’, particularly if the new devices can be operated at much lower power budgets than their corresponding 'traditional' circuit replacements. To bring this promise to fruition, synergy between the well-established practices of the circuit-oriented approach and the vastness of possibilities opened by the advent of novel nanoelectronic devices with rich internal dynamics is absolutely essential and will create the opportunity for radical innovation in both fields. The result of such synergy can be of potentially staggering impact to the progress of our efforts to both simulate the brain and ultimately understand it. In this Research Topic, we wish to provide an overview of what constitutes state-of-the-art in terms of enabling technologies for very large scale synaptic electronics, with particular stress on innovative nanoelectronic devices and circuit/system design techniques that can facilitate the development of very large scale brain-inspired electronic systems |
| format | Online |
| id | doab-20.500.12854ir-46325 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-463252024-04-05T12:35:58Z Enabling Technologies for Very Large-Scale Synaptic Electronics Alexantrou Serb Themis Prodromakis RC321-571 Q1-390 memristor cognitive computing synaptic electronics neural network thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences An important part of the colossal effort associated with the understanding of the brain involves using electronics hardware technology in order to reproduce biological behavior in ‘silico’. The idea revolves around leveraging decades of experience in the electronics industry as well as new biological findings that are employed towards reproducing key behaviors of fundamental elements of the brain (notably neurons and synapses) at far greater speed-scale products than any software-only implementation can achieve for the given level of modelling detail. So far, the field of neuromorphic engineering has proven itself as a major source of innovation towards the ‘silicon brain’ goal, with the methods employed by its community largely focused on circuit design (analogue, digital and mixed signal) and standard, commercial, Complementary Metal-Oxide Silicon (CMOS) technology as the preferred `tools of choice’ when trying to simulate or emulate biological behavior. However, alongside the circuit-oriented sector of the community there exists another community developing new electronic technologies with the express aim of creating advanced devices, beyond the capabilities of CMOS, that can intrinsically simulate neuron- or synapse-like behavior. A notable example concerns nanoelectronic devices responding to well-defined input signals by suitably changing their internal state (‘weight’), thereby exhibiting `synapse-like’ plasticity. This is in stark contrast to circuit-oriented approaches where the `synaptic weight’ variable has to be first stored, typically as charge on a capacitor or digitally, and then appropriately changed via complicated circuitry. The shift of very much complexity from circuitry to devices could potentially be a major enabling factor for very-large scale `synaptic electronics’, particularly if the new devices can be operated at much lower power budgets than their corresponding 'traditional' circuit replacements. To bring this promise to fruition, synergy between the well-established practices of the circuit-oriented approach and the vastness of possibilities opened by the advent of novel nanoelectronic devices with rich internal dynamics is absolutely essential and will create the opportunity for radical innovation in both fields. The result of such synergy can be of potentially staggering impact to the progress of our efforts to both simulate the brain and ultimately understand it. In this Research Topic, we wish to provide an overview of what constitutes state-of-the-art in terms of enabling technologies for very large scale synaptic electronics, with particular stress on innovative nanoelectronic devices and circuit/system design techniques that can facilitate the development of very large scale brain-inspired electronic systems 2021-02-11T12:30:03Z 2021-02-11T12:30:03Z 2019-01-23 14:53:42 2018 book 31919 16648714 9782889455089 https://directory.doabooks.org/handle/20.500.12854/46325 eng Frontiers Research Topics application/octet-stream Attribution 4.0 International https://www.frontiersin.org/research-topics/2821/enabling-technologies-for-very-large-scale-synaptic-electronics Frontiers Media SA 10.3389/978-2-88945-508-9 10.3389/978-2-88945-508-9 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889455089 105 open access |
| spellingShingle | RC321-571 Q1-390 memristor cognitive computing synaptic electronics neural network thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Alexantrou Serb Themis Prodromakis Enabling Technologies for Very Large-Scale Synaptic Electronics |
| title | Enabling Technologies for Very Large-Scale Synaptic Electronics |
| title_full | Enabling Technologies for Very Large-Scale Synaptic Electronics |
| title_fullStr | Enabling Technologies for Very Large-Scale Synaptic Electronics |
| title_full_unstemmed | Enabling Technologies for Very Large-Scale Synaptic Electronics |
| title_short | Enabling Technologies for Very Large-Scale Synaptic Electronics |
| title_sort | enabling technologies for very large scale synaptic electronics |
| topic | RC321-571 Q1-390 memristor cognitive computing synaptic electronics neural network thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 memristor cognitive computing synaptic electronics neural network thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 31919 |
| work_keys_str_mv | AT alexantrouserb enablingtechnologiesforverylargescalesynapticelectronics AT themisprodromakis enablingtechnologiesforverylargescalesynapticelectronics |